************************************************************************** env batch cal 54 1 4 all 0 93:4 ************************************************************************** open data c:\card\tseries\dahlallq.rat data(format=rats) / emp2 ur2 upr2 lfp2 pall p1617 p1619 p2024 afp1619 $ kaitz kaitzw enr1619 enr1619b empm2554 rwage union $ minr cpi le6hm coverw coveru close data open data c:\card\tseries\sexrace.rat data(format=rats) / empm empf empw em emw p1617m p1617f p1617w $ p1619m p1619f p1619w p1617b p1619b empb close data ************************************************************************** ******create base variables ************************************************************************** set empnw = (em-emw)/(p1619-p1619w) set empm = .001*empm set empf = .001*empf set empw = .001*empw set empb = .001*empb set p1617nw = p1617-p1617w set p1619nw = p1619-p1619w set synw = p1617nw/p1619nw set syw = p1617w/p1619w set sym = p1617m/p1619m set syf = p1617f/p1619f set syb = p1617b/p1619b set sy = p1617/p1619 set empam = .001*empm2554 set pop = p1619/pall set popa = p2024/pall set afp = afp1619/p1619 set emp = .001*emp2 set upr = .001*upr2 set lsym = log(sym) set lsyf = log(syf) set lsyw = log(syw) set lsynw = log(synw) set lsyb = log(syb) set lempm = log(empm) set lempf = log(empf) set lempw = log(empw) set lempnw = log(empnw) set lempb = log(empb) ******combine AW's variables with ours set enp 54:1 79:4 = enr1619b set enp 80:1 93:4 = enr1619 set yk 54:1 86:4 = kaitzw set yk 87:1 93:4 = kaitz set cover 54:1 86:4 = coverw set cover 87:1 93:4 = coveru ******create other variables set trend = t set trendsq = t**2 seasonal seasons set lyk = log(yk) set lemp = log(emp) set lempam = log(empam) set lupr = log(upr) set lpop = log(pop) set lpopa = log(popa) set lminr = log(minr) set tq2 = trend*seasons{-2} set tq3 = trend*seasons{-1} set tq4 = trend*seasons set t2q2 = trendsq*seasons{-2} set t2q3 = trendsq*seasons{-1} set t2q4 = trendsq*seasons set lyksq = lyk**2 set lcover = log(cover) set wmanr = le6hm/(cpi*.01) set lwmanr = log(le6hm/cpi) set clminr = cover*lminr set csqlminr = (cover**2)*lminr ***fix ups for messed up minimum wage set yk2 = yk set yk2 90:01 90:01 = yk*3.35/3.25 set minr2 = minr set minr2 90:01 90:01 = minr*3.35/3.25 set lyk2 = log(yk2) set lminr2 = log(minr2) set minchk = minr*cpi/144.4583 set minchk2 = minr2*cpi/144.4583 print / minchk2 cover yk2 wmanr ENTRY MINCHK2 COVER YK2 WMANR 54:01 0.7500000000000 0.4270000707768 0.1900001532962 6.5799271181994 54:02 0.7500000000000 0.4200000872360 0.1860001497801 6.6129039642200 54:03 0.7500000000000 0.4350000730337 0.1910001052287 6.5880900656676 54:04 0.7500000000000 0.4180000444992 0.1820001623268 6.7123285163514 55:01 0.7500000000000 0.4340000368387 0.1880000030366 6.8039957707361 55:02 0.7500000000000 0.4190000959762 0.1800000770566 6.8789021461937 55:03 0.7500000000000 0.4300000818267 0.1810000267367 6.9316770186335 55:04 0.7500000000000 0.4240000355101 0.1760001555742 7.0471471888874 56:01 1.0000000000000 0.4240000355101 0.1960000038713 7.1268648738584 56:02 1.0000000000000 0.4090001034522 0.2230001800775 7.1763263204308 56:03 1.0000000000000 0.4180000444992 0.2230001800775 7.1376378104597 56:04 1.0000000000000 0.4190000959762 0.2190002297674 7.2760285271650 57:01 1.0000000000000 0.4170000655455 0.2190002297674 7.3044519395101 57:02 1.0000000000000 0.4060000971885 0.2100001571356 7.2619047619048 57:03 1.0000000000000 0.4030000713453 0.2070001005434 7.2320369247546 57:04 1.0000000000000 0.3950000569120 0.2010002152557 7.3090489516033 58:01 1.0000000000000 0.3900000662448 0.1990001898974 7.2441847829910 58:02 1.0000000000000 0.3730000258632 0.1890000498814 7.2203013836843 58:03 1.0000000000000 0.3730000258632 0.1880000030366 7.2695862584681 58:04 1.0000000000000 0.3670002315505 0.1830000413838 7.3847936476673 59:01 1.0000000000000 0.3830000382240 0.1880000030366 7.5230425147063 59:02 1.0000000000000 0.3680000407793 0.1780000941069 7.5774966077499 59:03 1.0000000000000 0.3910000347977 0.1870000864179 7.4572408480242 59:04 1.0000000000000 0.3750000723794 0.1780000941069 7.5056704660098 60:01 1.0000000000000 0.3990000487148 0.1880000030366 7.6958010131919 60:02 1.0000000000000 0.3820000383435 0.1780000941069 7.6297963230386 60:03 1.0000000000000 0.3900000662448 0.1810000267367 7.6238723284943 60:04 1.0000000000000 0.3830000382240 0.1760001555742 7.6398202599734 61:01 1.0000000000000 0.3830000382240 0.1770000082143 7.6733773035750 61:02 1.0000000000000 0.3740000267663 0.1710000722440 7.7516770719788 61:03 1.1500000000000 0.4380000256693 0.2120001281138 7.7196890580438 61:04 1.1500000000000 0.5380000693054 0.2870000468449 7.8444444444444 62:01 1.1500000000000 0.5390001175414 0.2850002561335 7.8935687946472 62:02 1.1500000000000 0.5380000693054 0.2800000772276 7.8807954848472 62:03 1.1500000000000 0.5390001175414 0.2770001586642 7.8351648351648 62:04 1.1500000000000 0.5360001007205 0.2760002520613 7.9166682291670 63:01 1.1500000000000 0.5360001007205 0.2739999924908 7.9846669859365 63:02 1.1500000000000 0.5290001254385 0.2670001389954 8.0240169416583 63:03 1.1500000000000 0.5340000587517 0.2710002596459 7.9804568059078 63:04 1.2500000000000 0.5280000608657 0.2770001586642 8.0648648648649 64:01 1.2500000000000 0.5310000837601 0.2770001586642 8.1014039463352 64:02 1.2500000000000 0.5220000788739 0.2690000805333 8.1573286410339 64:03 1.2500000000000 0.5240000600824 0.2700001403957 8.1545053878319 64:04 1.2500000000000 0.5140000737729 0.2760002520613 8.1711229946524 65:01 1.2500000000000 0.5130000789052 0.2730002412767 8.2710781730335 65:02 1.2500000000000 0.5160000946863 0.2700001403957 8.2627123895792 65:03 1.2500000000000 0.5320000902487 0.2730002412767 8.2594921026281 65:04 1.2500000000000 0.5160000946863 0.2710002596459 8.3403363972795 66:01 1.2500000000000 0.5220000788739 0.2700001403957 8.3628772130772 66:02 1.2500000000000 0.5260000821846 0.2680001603904 8.3505154639175 66:03 1.2500000000000 0.5440000446767 0.2700001403957 8.3248217563731 66:04 1.2500000000000 0.5260000821846 0.2640002576208 8.3890592806795 67:01 1.4000000000000 0.6280000894988 0.3280001215562 8.4514180305366 67:02 1.4000000000000 0.6890001639603 0.3600003411117 8.4538147517782 67:03 1.4000000000000 0.7010001766153 0.3570002489014 8.4477611940298 67:04 1.4000000000000 0.6850001306432 0.3530002548833 8.5108486298333 68:01 1.6000000000000 0.6780001295263 0.3740000267663 8.6159839015994 68:02 1.6000000000000 0.6840000966900 0.3840000216555 8.6486493999792 68:03 1.6000000000000 0.6970001033105 0.3820000383435 8.6000000000000 68:04 1.6000000000000 0.6770001056593 0.3720000612717 8.7005652175301 69:01 1.6000000000000 0.7150001975460 0.3940000077556 8.7162778535426 69:02 1.6000000000000 0.7400001426601 0.4010000929019 8.6733757912157 69:03 1.6000000000000 0.7530000987802 0.3970000191731 8.6744808109078 69:04 1.6000000000000 0.7320001281153 0.3880000269112 8.7022222222222 70:01 1.6000000000000 0.7310001456389 0.3920000388831 8.6666666666667 70:02 1.6000000000000 0.7310001456389 0.3900000662448 8.6367551533150 70:03 1.6000000000000 0.7410001583414 0.3830000382240 8.6433449311436 70:04 1.6000000000000 0.7270001609932 0.3790000886480 8.6026933854539 71:01 1.6000000000000 0.7300001787330 0.3820000383435 8.7886384825891 71:02 1.6000000000000 0.7350001541805 0.3800000707795 8.8099162632335 71:03 1.6000000000000 0.7400001426601 0.3730000258632 8.7898607819331 71:04 1.6000000000000 0.7310001456389 0.3690000977635 8.8771363162150 72:01 1.6000000000000 0.7330001298110 0.3640001497298 9.0468495384447 72:02 1.6000000000000 0.7380001065537 0.3580002121442 9.1105767040727 72:03 1.6000000000000 0.7490001688732 0.3550002092749 9.1269841269841 72:04 1.6000000000000 0.7430001294784 0.3500000785745 9.2531448723226 73:01 1.6000000000000 0.7560001155188 0.3520001771912 9.3090059943555 73:02 1.6000000000000 0.7590001378242 0.3450003318732 9.2179197240225 73:03 1.6000000000000 0.7690001764674 0.3400002928666 9.1604750745702 73:04 1.6000000000000 0.7610001606627 0.3360000735904 9.1430648324560 74:01 1.6000000000000 0.7570000950373 0.3300003050923 8.9971747600067 74:02 2.0000000000000 0.7580000934915 0.3720000612717 8.9560435869762 74:03 2.0000000000000 0.7650001951941 0.3860000538537 8.9733333333333 74:04 2.0000000000000 0.7580000934915 0.3810000586189 8.9838187702265 75:01 2.1000000000000 0.7530000987802 0.3980000253517 8.9764778961892 75:02 2.1000000000000 0.7560001155188 0.3920000388831 8.9668129423947 75:03 2.1000000000000 0.7600001943334 0.3840000216555 8.9331695058307 75:04 2.1000000000000 0.7540000685945 0.3820000383435 8.9981896620071 76:01 2.3000000000000 0.7790001815938 0.4270000707768 9.0794977451375 76:02 2.3000000000000 0.7820001629976 0.4210000780112 9.1086181701443 76:03 2.3000000000000 0.7870001263645 0.4110000758237 9.1865191451533 76:04 2.3000000000000 0.7850001814918 0.4060000971885 9.2820223063653 77:01 2.3000000000000 0.8160001746387 0.4220000653873 9.3167698706910 77:02 2.3000000000000 0.8180001573664 0.4150000866319 9.2872928176796 77:03 2.3000000000000 0.8220001511872 0.4060000971885 9.3518523102760 77:04 2.3000000000000 0.8210001802339 0.4030000713453 9.4827583141350 78:01 2.6500000000000 0.8320001565499 0.4570000311162 9.5127124690283 78:02 2.6500000000000 0.8340001389639 0.4480000163821 9.4111574622955 78:03 2.6500000000000 0.8370001661384 0.4360000722160 9.4046419183346 78:04 2.6500000000000 0.8330001639472 0.4320000651188 9.4955491023078 79:01 2.9000000000000 0.8370001661384 0.4660001094431 9.4546326570676 79:02 2.9000000000000 0.8380001412031 0.4590000591750 9.2583951337427 79:03 2.9000000000000 0.8420001555509 0.4480000163821 9.1286675533634 79:04 2.9000000000000 0.8380001412031 0.4460000432451 9.0737493805311 80:01 3.1000000000000 0.8499310078732 0.4675830962776 8.8851350225701 80:02 3.1000000000000 0.8506768944513 0.4605824936616 8.7372708757637 80:03 3.1000000000000 0.8528735363369 0.4460244088930 8.8120000000000 80:04 3.1000000000000 0.8505608700360 0.4427883891160 8.8854245778934 81:01 3.3500000000000 0.8442133769900 0.4693449874622 8.8420655013379 81:02 3.3500000000000 0.8469931260555 0.4628887197018 8.8200366148403 81:03 3.3500000000000 0.8481396289195 0.4517170006464 8.7369178909365 81:04 3.3500000000000 0.8449599070743 0.4550669172345 8.7655641369266 82:01 3.3500000000000 0.8422528608716 0.4461183069135 8.8673250536135 82:02 3.3500000000000 0.8433139250232 0.4416382813221 8.8182135087057 82:03 3.3500000000000 0.8419781627941 0.4331356156072 8.7444560856367 82:04 3.3500000000000 0.8419501253881 0.4328662890235 8.7916949408608 83:01 3.3500000000000 0.8401202018011 0.4223976120064 8.9100820169984 83:02 3.3500000000000 0.8424631134241 0.4203227964171 8.8496467320924 83:03 3.3500000000000 0.8410831950014 0.4128345795638 8.8131652452061 83:04 3.3500000000000 0.8438032733529 0.4150379986214 8.8731466227348 84:01 3.3500000000000 0.8436002787065 0.4097172054790 8.8823722818320 84:02 3.3500000000000 0.8452551876483 0.4065934854207 8.8297873194370 84:03 3.3500000000000 0.8462356602085 0.4006101977034 8.8010202397764 84:04 3.3500000000000 0.8445967368792 0.4049736806648 8.8572330493349 85:01 3.3500000000000 0.8449222227028 0.3999852130230 8.9178988786014 85:02 3.3500000000000 0.8429183349423 0.3989529056543 8.8595400044170 85:03 3.3500000000000 0.8444421053737 0.3912302960224 8.8306076736080 85:04 3.3500000000000 0.8426019627861 0.3973789180379 8.8532110091743 86:01 3.3500000000000 0.8401084402006 0.3928606146991 8.8922791983297 86:02 3.3500000000000 0.8417185367651 0.3918030064777 8.9113149847095 86:03 3.3500000000000 0.8421688924473 0.3890903889563 8.8524591776404 86:04 3.3500000000000 0.8401144890031 0.3914281912167 8.8647343798134 87:01 3.3500000000000 0.8542394812809 0.3967000000000 8.8265151405236 87:02 3.3500000000000 0.8542394812809 0.3947000000000 8.7267903737684 87:03 3.3500000000000 0.8542394812809 0.3916000000000 8.6596737353701 87:04 3.3500000000000 0.8542394812809 0.3868000000000 8.6766832652128 88:01 3.3500000000000 0.8608628191130 0.3856000000000 8.6789202356024 88:02 3.3500000000000 0.8608628191130 0.3809000000000 8.6358478394354 88:03 3.3500000000000 0.8608628191130 0.3781000000000 8.5586341290907 88:04 3.3500000000000 0.8608628191130 0.3707000000000 8.5844875346260 89:01 3.3500000000000 0.8638565578529 0.3731000000000 8.5506845801089 89:02 3.3500000000000 0.8638565578529 0.3713000000000 8.4366573408360 89:03 3.3500000000000 0.8638565578529 0.3707000000000 8.4224598930481 89:04 3.3500000000000 0.8638565578529 0.3655000000000 8.4163134255882 90:01 3.3500000000000 0.8795366596314 0.3668507692308 8.3311639546485 90:02 3.8000000000000 0.8795366596314 0.4151000000000 8.3453611473722 90:03 3.8000000000000 0.8795366596314 0.4115000000000 8.2619711801011 90:04 3.8000000000000 0.8795366596314 0.4011000000000 8.2149088773636 91:01 3.8000000000000 0.8745068619872 0.4001000000000 8.1874379978068 91:02 4.2500000000000 0.8745068619872 0.4506000000000 8.2202555932626 91:03 4.2500000000000 0.8745068619872 0.4488000000000 8.2146341463415 91:04 4.2500000000000 0.8745068619872 0.4415000000000 8.2183492470713 92:01 4.2500000000000 0.8751899407678 0.4423000000000 8.1730766283746 92:02 4.2500000000000 0.8751899407678 0.4413000000000 8.1855032167692 92:03 4.2500000000000 0.8751899407678 0.4436000000000 8.1523539731655 92:04 4.2500000000000 0.8751899407678 0.4422000000000 8.1489312296143 93:01 4.2500000000000 0.8753960434969 0.4403000000000 8.1248540734978 93:02 4.2500000000000 0.8753960434969 0.4372000000000 8.1276007238752 93:03 4.2500000000000 0.8753960434969 0.4367000000000 8.1280220483904 93:04 4.2500000000000 0.8753960434969 0.4317000000000 8.1637319357622 print / emp empam empw empnw empm empf empb ENTRY EMP EMPAM EMPW EMPNW 54:01 0.3920000000000 0.9230000000000 0.4020000000000 0.3228728566807 54:02 0.4190000000000 0.9300000000000 0.4220000000000 0.3994243684042 54:03 0.4820000000000 0.9330000000000 0.4890000000000 0.4338305299905 54:04 0.3960000000000 0.9360000000000 0.4010000000000 0.3598484848485 55:01 0.3600000000000 0.9270000000000 0.3690000000000 0.2987460815047 55:02 0.4180000000000 0.9430000000000 0.4230000000000 0.3857409713574 55:03 0.5120000000000 0.9520000000000 0.5230000000000 0.4372093023256 55:04 0.4510000000000 0.9500000000000 0.4540000000000 0.4357231149567 56:01 0.3940000000000 0.9350000000000 0.4000000000000 0.3535571296581 56:02 0.4490000000000 0.9470000000000 0.4530000000000 0.4228641671789 56:03 0.5320000000000 0.9490000000000 0.5450000000000 0.4488357843137 56:04 0.4350000000000 0.9460000000000 0.4470000000000 0.3561643835616 57:01 0.3880000000000 0.9340000000000 0.4010000000000 0.2965204236006 57:02 0.4370000000000 0.9470000000000 0.4430000000000 0.4018719806763 57:03 0.5100000000000 0.9480000000000 0.5230000000000 0.4162162162162 57:04 0.4190000000000 0.9350000000000 0.4300000000000 0.3430700447094 58:01 0.3530000000000 0.9030000000000 0.3640000000000 0.2770050310743 58:02 0.3970000000000 0.9130000000000 0.4050000000000 0.3432352941176 58:03 0.4580000000000 0.9230000000000 0.4710000000000 0.3628961907531 58:04 0.3860000000000 0.9280000000000 0.3990000000000 0.2962431889877 59:01 0.3520000000000 0.9120000000000 0.3660000000000 0.2491467576792 59:02 0.3980000000000 0.9370000000000 0.4090000000000 0.3236455981941 59:03 0.4650000000000 0.9380000000000 0.4820000000000 0.3413474979033 59:04 0.3800000000000 0.9330000000000 0.3900000000000 0.3066924778761 60:01 0.3460000000000 0.9190000000000 0.3580000000000 0.2616372391653 60:02 0.4170000000000 0.9350000000000 0.4270000000000 0.3464086933475 60:03 0.4770000000000 0.9350000000000 0.4860000000000 0.4160526315789 60:04 0.3800000000000 0.9270000000000 0.3860000000000 0.3331595411887 61:01 0.3350000000000 0.9020000000000 0.3490000000000 0.2390685640362 61:02 0.3900000000000 0.9210000000000 0.3980000000000 0.3269971744156 61:03 0.4630000000000 0.9280000000000 0.4740000000000 0.3837327893932 61:04 0.3740000000000 0.9290000000000 0.3810000000000 0.3209845216950 62:01 0.3350000000000 0.9140000000000 0.3450000000000 0.2624400101036 62:02 0.4040000000000 0.9320000000000 0.4130000000000 0.3384138465513 62:03 0.4710000000000 0.9360000000000 0.4840000000000 0.3762173244490 62:04 0.3650000000000 0.9350000000000 0.3730000000000 0.3104056437390 63:01 0.3220000000000 0.9150000000000 0.3330000000000 0.2418995795202 63:02 0.3740000000000 0.9340000000000 0.3850000000000 0.2939050831125 63:03 0.4440000000000 0.9390000000000 0.4590000000000 0.3382318084854 63:04 0.3550000000000 0.9360000000000 0.3640000000000 0.2858475169037 64:01 0.3220000000000 0.9240000000000 0.3310000000000 0.2557767101350 64:02 0.3690000000000 0.9410000000000 0.3800000000000 0.2907290729073 64:03 0.4460000000000 0.9430000000000 0.4610000000000 0.3386418933864 64:04 0.3530000000000 0.9400000000000 0.3620000000000 0.2907709011944 65:01 0.3150000000000 0.9280000000000 0.3270000000000 0.2304245786217 65:02 0.3790000000000 0.9450000000000 0.3920000000000 0.2929335290417 65:03 0.4680000000000 0.9470000000000 0.4830000000000 0.3648842450318 65:04 0.3920000000000 0.9460000000000 0.4060000000000 0.2887818583183 66:01 0.3580000000000 0.9360000000000 0.3720000000000 0.2588212103292 66:02 0.4120000000000 0.9490000000000 0.4280000000000 0.3023435986829 66:03 0.5030000000000 0.9490000000000 0.5200000000000 0.3882846784965 66:04 0.4090000000000 0.9490000000000 0.4240000000000 0.3065583065583 67:01 0.3730000000000 0.9420000000000 0.3900000000000 0.2638393694877 67:02 0.4220000000000 0.9490000000000 0.4390000000000 0.3089355378042 67:03 0.4990000000000 0.9490000000000 0.5170000000000 0.3816638996495 67:04 0.3930000000000 0.9480000000000 0.4060000000000 0.3077910174152 68:01 0.3700000000000 0.9400000000000 0.3850000000000 0.2748452857663 68:02 0.4250000000000 0.9500000000000 0.4430000000000 0.3114161849711 68:03 0.4970000000000 0.9500000000000 0.5150000000000 0.3826785714286 68:04 0.3950000000000 0.9480000000000 0.4110000000000 0.2888456779212 69:01 0.3740000000000 0.9430000000000 0.3900000000000 0.2771634193435 69:02 0.4300000000000 0.9470000000000 0.4520000000000 0.2916666666667 69:03 0.5100000000000 0.9470000000000 0.5280000000000 0.3885704359910 69:04 0.4220000000000 0.9450000000000 0.4390000000000 0.3125538143620 70:01 0.3880000000000 0.9320000000000 0.4070000000000 0.2731142516601 70:02 0.4240000000000 0.9350000000000 0.4460000000000 0.2851163569396 70:03 0.4880000000000 0.9320000000000 0.5120000000000 0.3370935633709 70:04 0.3920000000000 0.9280000000000 0.4150000000000 0.2532456861134 71:01 0.3670000000000 0.9140000000000 0.3900000000000 0.2247118038643 71:02 0.4090000000000 0.9240000000000 0.4360000000000 0.2406039190491 71:03 0.4800000000000 0.9250000000000 0.5050000000000 0.3242125357938 71:04 0.3970000000000 0.9210000000000 0.4220000000000 0.2418136020151 72:01 0.3800000000000 0.9120000000000 0.4080000000000 0.2101316192225 72:02 0.4380000000000 0.9220000000000 0.4680000000000 0.2592031510377 72:03 0.4990000000000 0.9260000000000 0.5270000000000 0.3349820143885 72:04 0.4220000000000 0.9260000000000 0.4540000000000 0.2332239785267 73:01 0.4030000000000 0.9150000000000 0.4310000000000 0.2379411764706 73:02 0.4620000000000 0.9250000000000 0.4940000000000 0.2755028215888 73:03 0.5200000000000 0.9320000000000 0.5500000000000 0.3431485205401 73:04 0.4500000000000 0.9310000000000 0.4820000000000 0.2653730917392 74:01 0.4230000000000 0.9170000000000 0.4520000000000 0.2513353949958 74:02 0.4650000000000 0.9200000000000 0.4990000000000 0.2665364219927 74:03 0.5190000000000 0.9230000000000 0.5510000000000 0.3317174515235 74:04 0.4350000000000 0.9130000000000 0.4690000000000 0.2380165289256 75:01 0.3910000000000 0.8820000000000 0.4230000000000 0.2118482118482 75:02 0.4340000000000 0.8890000000000 0.4670000000000 0.2458017334778 75:03 0.4910000000000 0.8960000000000 0.5250000000000 0.3056669339749 75:04 0.4130000000000 0.8950000000000 0.4460000000000 0.2295147175815 76:01 0.3920000000000 0.8840000000000 0.4230000000000 0.2184179456907 76:02 0.4470000000000 0.8970000000000 0.4880000000000 0.2234389258245 76:03 0.5040000000000 0.9010000000000 0.5430000000000 0.2919319215279 76:04 0.4230000000000 0.8980000000000 0.4590000000000 0.2231168831169 77:01 0.4010000000000 0.8860000000000 0.4390000000000 0.1953014069963 77:02 0.4630000000000 0.9020000000000 0.5070000000000 0.2229512414769 77:03 0.5230000000000 0.9070000000000 0.5640000000000 0.3011290736464 77:04 0.4560000000000 0.9110000000000 0.4960000000000 0.2366128619011 78:01 0.4240000000000 0.9010000000000 0.4620000000000 0.2196421773887 78:02 0.4900000000000 0.9120000000000 0.5330000000000 0.2564589665653 78:03 0.5490000000000 0.9140000000000 0.5900000000000 0.3326174835776 78:04 0.4700000000000 0.9140000000000 0.5100000000000 0.2581459964638 79:01 0.4460000000000 0.9050000000000 0.4830000000000 0.2495923742631 79:02 0.4890000000000 0.9130000000000 0.5320000000000 0.2627956451007 79:03 0.5380000000000 0.9160000000000 0.5780000000000 0.3289605197401 79:04 0.4680000000000 0.9120000000000 0.5100000000000 0.2497811131957 80:01 0.4350000000000 0.8960000000000 0.4740000000000 0.2294044665012 80:02 0.4690000000000 0.8930000000000 0.5110000000000 0.2550818046604 80:03 0.5170000000000 0.8930000000000 0.5580000000000 0.3084829721362 80:04 0.4430000000000 0.8950000000000 0.4840000000000 0.2317617866005 81:01 0.4120000000000 0.8830000000000 0.4500000000000 0.2175089142998 81:02 0.4550000000000 0.8960000000000 0.4970000000000 0.2459239130435 81:03 0.5020000000000 0.8960000000000 0.5480000000000 0.2762069391283 81:04 0.4130000000000 0.8850000000000 0.4550000000000 0.2053227210546 82:01 0.3780000000000 0.8650000000000 0.4150000000000 0.1938320535051 82:02 0.4220000000000 0.8710000000000 0.4690000000000 0.1923743500867 82:03 0.4710000000000 0.8680000000000 0.5140000000000 0.2595164290143 82:04 0.3910000000000 0.8570000000000 0.4320000000000 0.1944479024026 83:01 0.3630000000000 0.8410000000000 0.4020000000000 0.1765738650614 83:02 0.4140000000000 0.8580000000000 0.4590000000000 0.1966759002770 83:03 0.4820000000000 0.8710000000000 0.5300000000000 0.2549142356329 83:04 0.4030000000000 0.8740000000000 0.4490000000000 0.1911616161616 84:01 0.3840000000000 0.8680000000000 0.4270000000000 0.1804136874362 84:02 0.4470000000000 0.8840000000000 0.4930000000000 0.2306905370844 84:03 0.5010000000000 0.8930000000000 0.5440000000000 0.2984496124031 84:04 0.4180000000000 0.8900000000000 0.4580000000000 0.2297755741127 85:01 0.4040000000000 0.8770000000000 0.4430000000000 0.2256468797565 85:02 0.4490000000000 0.8880000000000 0.4910000000000 0.2592165898618 85:03 0.5040000000000 0.8930000000000 0.5470000000000 0.3084160329939 85:04 0.4170000000000 0.8900000000000 0.4580000000000 0.2293718817961 86:01 0.4000000000000 0.8770000000000 0.4380000000000 0.2279759621532 86:02 0.4540000000000 0.8860000000000 0.4960000000000 0.2635490070468 86:03 0.5080000000000 0.8910000000000 0.5520000000000 0.3058432425521 86:04 0.4240000000000 0.8870000000000 0.4640000000000 0.2432738244908 87:01 0.4040000000000 0.8780000000000 0.4430000000000 0.2293566362715 87:02 0.4560000000000 0.8900000000000 0.5000000000000 0.2599419265244 87:03 0.5200000000000 0.8960000000000 0.5590000000000 0.3454025133756 87:04 0.4380000000000 0.8950000000000 0.4750000000000 0.2764287466274 88:01 0.4180000000000 0.8850000000000 0.4580000000000 0.2386068914413 88:02 0.4710000000000 0.8970000000000 0.5150000000000 0.2763564454332 88:03 0.5360000000000 0.9010000000000 0.5770000000000 0.3538672997626 88:04 0.4490000000000 0.8970000000000 0.4870000000000 0.2838773491592 89:01 0.4250000000000 0.8890000000000 0.4650000000000 0.2522744037374 89:02 0.4780000000000 0.9000000000000 0.5220000000000 0.2898786438133 89:03 0.5400000000000 0.9040000000000 0.5820000000000 0.3592269326683 89:04 0.4570000000000 0.9020000000000 0.4920000000000 0.3071331772822 90:01 0.4280000000000 0.8880000000000 0.4660000000000 0.2703994119088 90:02 0.4660000000000 0.8960000000000 0.5100000000000 0.2826868261247 90:03 0.5030000000000 0.8960000000000 0.5510000000000 0.3034628273551 90:04 0.4190000000000 0.8890000000000 0.4620000000000 0.2442333785617 91:01 0.3910000000000 0.8690000000000 0.4350000000000 0.2159803318992 91:02 0.4260000000000 0.8790000000000 0.4730000000000 0.2427866831073 91:03 0.4690000000000 0.8810000000000 0.5180000000000 0.2738407699038 91:04 0.3970000000000 0.8760000000000 0.4410000000000 0.2214798941132 92:01 0.3700000000000 0.8570000000000 0.4080000000000 0.2134099616858 92:02 0.4060000000000 0.8710000000000 0.4520000000000 0.2279799247177 92:03 0.4700000000000 0.8760000000000 0.5150000000000 0.2921980495124 92:04 0.3950000000000 0.8710000000000 0.4380000000000 0.2260104140838 93:01 0.3720000000000 0.8570000000000 0.4130000000000 0.2072985301571 93:02 0.4160000000000 0.8720000000000 0.4610000000000 0.2371056584877 93:03 0.4790000000000 0.8780000000000 0.5250000000000 0.2989002841962 93:04 0.4010000000000 0.8770000000000 0.4480000000000 0.2161730367457 ENTRY EMPM EMPF EMPB 54:01 0.4600000000000 0.3300000000000 NA 54:02 0.5100000000000 0.3350000000000 NA 54:03 0.5830000000000 0.3890000000000 NA 54:04 0.4540000000000 0.3420000000000 NA 55:01 0.4260000000000 0.2990000000000 NA 55:02 0.5190000000000 0.3230000000000 NA 55:03 0.6140000000000 0.4170000000000 NA 55:04 0.5230000000000 0.3860000000000 NA 56:01 0.4750000000000 0.3200000000000 NA 56:02 0.5540000000000 0.3530000000000 NA 56:03 0.6360000000000 0.4380000000000 NA 56:04 0.4890000000000 0.3870000000000 NA 57:01 0.4460000000000 0.3350000000000 NA 57:02 0.5390000000000 0.3450000000000 NA 57:03 0.6110000000000 0.4180000000000 NA 57:04 0.4750000000000 0.3680000000000 NA 58:01 0.4090000000000 0.3020000000000 NA 58:02 0.4800000000000 0.3220000000000 NA 58:03 0.5510000000000 0.3720000000000 NA 58:04 0.4340000000000 0.3410000000000 NA 59:01 0.4080000000000 0.2990000000000 NA 59:02 0.4930000000000 0.3090000000000 NA 59:03 0.5550000000000 0.3810000000000 NA 59:04 0.4330000000000 0.3300000000000 NA 60:01 0.4020000000000 0.2930000000000 NA 60:02 0.4990000000000 0.3390000000000 NA 60:03 0.5680000000000 0.3910000000000 NA 60:04 0.4320000000000 0.3300000000000 NA 61:01 0.3780000000000 0.2940000000000 NA 61:02 0.4690000000000 0.3140000000000 NA 61:03 0.5500000000000 0.3810000000000 NA 61:04 0.4130000000000 0.3370000000000 NA 62:01 0.3830000000000 0.2900000000000 NA 62:02 0.4870000000000 0.3260000000000 NA 62:03 0.5570000000000 0.3920000000000 NA 62:04 0.4090000000000 0.3250000000000 NA 63:01 0.3620000000000 0.2850000000000 NA 63:02 0.4510000000000 0.3020000000000 NA 63:03 0.5320000000000 0.3630000000000 NA 63:04 0.4050000000000 0.3080000000000 NA 64:01 0.3660000000000 0.2810000000000 NA 64:02 0.4540000000000 0.2890000000000 NA 64:03 0.5410000000000 0.3570000000000 NA 64:04 0.4020000000000 0.3070000000000 NA 65:01 0.3710000000000 0.2630000000000 NA 65:02 0.4700000000000 0.2940000000000 NA 65:03 0.5650000000000 0.3750000000000 NA 65:04 0.4380000000000 0.3470000000000 NA 66:01 0.4100000000000 0.3070000000000 NA 66:02 0.4990000000000 0.3290000000000 NA 66:03 0.5960000000000 0.4140000000000 NA 66:04 0.4470000000000 0.3730000000000 NA 67:01 0.4190000000000 0.3300000000000 NA 67:02 0.4980000000000 0.3490000000000 NA 67:03 0.5960000000000 0.4080000000000 NA 67:04 0.4370000000000 0.3520000000000 NA 68:01 0.4110000000000 0.3320000000000 NA 68:02 0.5060000000000 0.3490000000000 NA 68:03 0.5860000000000 0.4110000000000 NA 68:04 0.4420000000000 0.3490000000000 NA 69:01 0.4240000000000 0.3260000000000 NA 69:02 0.5060000000000 0.3560000000000 NA 69:03 0.5910000000000 0.4310000000000 NA 69:04 0.4580000000000 0.3860000000000 NA 70:01 0.4320000000000 0.3460000000000 NA 70:02 0.4890000000000 0.3610000000000 NA 70:03 0.5560000000000 0.4210000000000 NA 70:04 0.4300000000000 0.3550000000000 NA 71:01 0.4050000000000 0.3300000000000 NA 71:02 0.4750000000000 0.3440000000000 NA 71:03 0.5530000000000 0.4080000000000 NA 71:04 0.4390000000000 0.3560000000000 NA 72:01 0.4140000000000 0.3460000000000 0.2080000000000 72:02 0.5010000000000 0.3760000000000 0.2490000000000 72:03 0.5750000000000 0.4240000000000 0.3250000000000 72:04 0.4640000000000 0.3810000000000 0.2260000000000 73:01 0.4470000000000 0.3600000000000 0.2320000000000 73:02 0.5240000000000 0.4000000000000 0.2610000000000 73:03 0.5940000000000 0.4480000000000 0.3360000000000 73:04 0.4910000000000 0.4100000000000 0.2580000000000 74:01 0.4640000000000 0.3830000000000 0.2390000000000 74:02 0.5280000000000 0.4020000000000 0.2520000000000 74:03 0.5860000000000 0.4520000000000 0.3170000000000 74:04 0.4700000000000 0.4000000000000 0.2280000000000 75:01 0.4200000000000 0.3630000000000 0.2000000000000 75:02 0.4820000000000 0.3870000000000 0.2260000000000 75:03 0.5460000000000 0.4380000000000 0.2840000000000 75:04 0.4400000000000 0.3880000000000 0.2160000000000 76:01 0.4170000000000 0.3670000000000 0.2070000000000 76:02 0.4910000000000 0.4050000000000 0.2060000000000 76:03 0.5580000000000 0.4510000000000 0.2790000000000 76:04 0.4490000000000 0.3970000000000 0.2060000000000 77:01 0.4280000000000 0.3750000000000 0.1750000000000 77:02 0.5150000000000 0.4110000000000 0.2080000000000 77:03 0.5780000000000 0.4680000000000 0.2850000000000 77:04 0.4920000000000 0.4190000000000 0.2240000000000 78:01 0.4560000000000 0.3920000000000 0.2050000000000 78:02 0.5360000000000 0.4440000000000 0.2380000000000 78:03 0.6020000000000 0.4970000000000 0.3170000000000 78:04 0.4940000000000 0.4480000000000 0.2470000000000 79:01 0.4640000000000 0.4280000000000 0.2350000000000 79:02 0.5310000000000 0.4470000000000 0.2450000000000 79:03 0.5870000000000 0.4900000000000 0.3060000000000 79:04 0.4880000000000 0.4490000000000 0.2320000000000 80:01 0.4610000000000 0.4090000000000 0.2110000000000 80:02 0.5080000000000 0.4310000000000 0.2390000000000 80:03 0.5550000000000 0.4800000000000 0.2880000000000 80:04 0.4550000000000 0.4310000000000 0.2180000000000 81:01 0.4290000000000 0.3950000000000 0.2060000000000 81:02 0.4870000000000 0.4230000000000 0.2300000000000 81:03 0.5390000000000 0.4660000000000 0.2560000000000 81:04 0.4310000000000 0.3960000000000 0.1920000000000 82:01 0.3900000000000 0.3650000000000 0.1790000000000 82:02 0.4430000000000 0.4010000000000 0.1700000000000 82:03 0.4910000000000 0.4510000000000 0.2390000000000 82:04 0.3920000000000 0.3910000000000 0.1720000000000 83:01 0.3660000000000 0.3600000000000 0.1630000000000 83:02 0.4370000000000 0.3900000000000 0.1840000000000 83:03 0.5070000000000 0.4560000000000 0.2340000000000 83:04 0.4130000000000 0.3930000000000 0.1680000000000 84:01 0.3880000000000 0.3810000000000 0.1660000000000 84:02 0.4680000000000 0.4250000000000 0.2160000000000 84:03 0.5190000000000 0.4820000000000 0.2820000000000 84:04 0.4240000000000 0.4130000000000 0.2140000000000 85:01 0.4070000000000 0.4010000000000 0.2110000000000 85:02 0.4790000000000 0.4200000000000 0.2480000000000 85:03 0.5270000000000 0.4810000000000 0.3030000000000 85:04 0.4180000000000 0.4160000000000 0.2240000000000 86:01 0.3990000000000 0.4010000000000 0.2200000000000 86:02 0.4710000000000 0.4370000000000 0.2600000000000 86:03 0.5300000000000 0.4850000000000 0.2910000000000 86:04 0.4260000000000 0.4220000000000 0.2340000000000 87:01 0.4060000000000 0.4030000000000 0.2200000000000 87:02 0.4640000000000 0.4480000000000 0.2530000000000 87:03 0.5340000000000 0.5050000000000 0.3440000000000 87:04 0.4390000000000 0.4370000000000 0.2700000000000 88:01 0.4170000000000 0.4190000000000 0.2180000000000 88:02 0.4880000000000 0.4530000000000 0.2670000000000 88:03 0.5550000000000 0.5170000000000 0.3410000000000 88:04 0.4520000000000 0.4460000000000 0.2760000000000 89:01 0.4240000000000 0.4250000000000 0.2400000000000 89:02 0.4940000000000 0.4620000000000 0.2770000000000 89:03 0.5650000000000 0.5130000000000 0.3410000000000 89:04 0.4600000000000 0.4530000000000 0.2880000000000 90:01 0.4310000000000 0.4250000000000 0.2560000000000 90:02 0.4830000000000 0.4480000000000 0.2710000000000 90:03 0.5210000000000 0.4840000000000 0.2990000000000 90:04 0.4280000000000 0.4100000000000 0.2400000000000 91:01 0.3910000000000 0.3920000000000 0.2030000000000 91:02 0.4310000000000 0.4220000000000 0.2290000000000 91:03 0.4890000000000 0.4480000000000 0.2640000000000 91:04 0.3970000000000 0.3970000000000 0.2060000000000 92:01 0.3670000000000 0.3730000000000 0.2070000000000 92:02 0.4150000000000 0.3970000000000 0.2160000000000 92:03 0.4890000000000 0.4510000000000 0.2820000000000 92:04 0.4050000000000 0.3840000000000 0.2090000000000 93:01 0.3750000000000 0.3690000000000 0.1950000000000 93:02 0.4240000000000 0.4070000000000 0.2140000000000 93:03 0.4930000000000 0.4660000000000 0.2920000000000 93:04 0.3970000000000 0.4050000000000 0.2020000000000 table 54:01 93:04 emp empm empf empw empnw empb empam Series Obs Mean Std Error Minimum Maximum EMP 160 0.43077500000 0.05125923141 0.31500000000 0.54900000000 EMPM 160 0.47507500000 0.06309985597 0.36200000000 0.63600000000 EMPF 160 0.38846250000 0.05454314402 0.26300000000 0.51700000000 EMPW 160 0.45857500000 0.05816172962 0.32700000000 0.59000000000 EMPNW 160 0.28534931238 0.05988139062 0.17657386506 0.44883578431 EMPB 88 0.24102272727 0.04331095194 0.16300000000 0.34400000000 EMPAM 160 0.91159375000 0.02663409100 0.84100000000 0.95200000000 table 54:01 93:04 sy sym syf syw synw syb Series Obs Mean Std Error Minimum Maximum SY 160 0.51610470257 0.02111891480 0.47709505196 0.58080976151 SYM 160 0.52908930259 0.02646062874 0.48392282958 0.60256630578 SYF 160 0.50366907233 0.01706770130 0.46980826099 0.56054263155 SYW 160 0.51535347627 0.02262888667 0.47342723560 0.58362854251 SYNW 160 0.51918033938 0.01459628000 0.48728280030 0.56381331564 SYB 88 0.50994206164 0.01135970996 0.48746732277 0.52799243022 table 54:01 93:04 yk2 cover wmanr minchk2 Series Obs Mean Std Error Minimum Maximum YK2 160 0.34517208755 0.09157891577 0.17100007224 0.46934498746 COVER 160 0.69352100379 0.17850886574 0.36700023155 0.87953665963 WMANR 160 8.40212648033 0.69067198829 6.57992711820 9.51271246903 MINCHK2 160 2.20937500000 1.10274368376 0.75000000000 4.25000000000 ******* Correlations cross emp empam / 0 0 Cross Correlations of Series EMP and EMPAM Quarterly Data From 54:01 To 93:04 0: 0.02391527 cross lemp lempam / 0 0 Cross Correlations of Series LEMP and LEMPAM Quarterly Data From 54:01 To 93:04 0: 0.01784593 cross lemp lupr / 0 0 Cross Correlations of Series LEMP and LUPR Quarterly Data From 54:01 To 93:04 0: -0.2212360 cross lemp lempf / 0 0 Cross Correlations of Series LEMP and LEMPF Quarterly Data From 54:01 To 93:04 0: 0.86143308 cross lemp lempb / 0 0 Cross Correlations of Series LEMP and LEMPB Quarterly Data From 72:01 To 93:04 0: 0.86328996 cross lemp lempw / 0 0 Cross Correlations of Series LEMP and LEMPW Quarterly Data From 54:01 To 93:04 0: 0.97363414 cross lemp lyk2 / 0 0 Cross Correlations of Series LEMP and LYK2 Quarterly Data From 54:01 To 93:04 0: 0.26728609 ******* Wellington's basic spec. log version ***ar(1) version ar1(method=maxl) lemp #constant lyk2 lupr sy afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMP - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 142 Centered R**2 0.967889 R Bar **2 0.964045 Uncentered R**2 0.999381 T x R**2 159.901 Mean of Dependent Variable -0.849226949 Std Error of Dependent Variable 0.119408178 Standard Error of Estimate 0.022641897 Sum of Squared Residuals 0.0727970808 Durbin-Watson Statistic 2.215476 Q(36-1) 103.386430 Significance Level of Q 0.00000001 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.827962154 0.938183824 -0.88252 0.37898939 2. LYK2 -0.072327533 0.042050140 -1.72003 0.08760542 3. LUPR -0.090750914 0.018678909 -4.85847 0.00000309 4. SY -1.161229355 0.464229581 -2.50141 0.01350533 5. AFP 0.958327314 1.100010645 0.87120 0.38511643 6. LPOP 0.006175546 0.344795280 0.01791 0.98573518 7. TREND 0.001311970 0.003466216 0.37850 0.70562290 8. TRENDSQ -0.000000940 0.000023037 -0.04080 0.96751594 9. SEASONS{-2} 0.110762572 0.011210552 9.88021 0.00000000 10. SEASONS{-1} 0.287636138 0.013913769 20.67277 0.00000000 11. SEASONS 0.093373661 0.012599294 7.41102 0.00000000 12. TQ2 -0.000093235 0.000280095 -0.33287 0.73972548 13. TQ3 -0.000890645 0.000330174 -2.69751 0.00783243 14. TQ4 -0.000925730 0.000294700 -3.14126 0.00204753 15. T2Q2 -0.000000197 0.000001712 -0.11510 0.90852652 16. T2Q3 0.000002131 0.000001995 1.06840 0.28715271 17. T2Q4 0.000003764 0.000001779 2.11578 0.03610877 ******************************************************************************* 18. RHO 0.932502610 0.031903378 29.22896 0.00000000 *** add adult male epop ar1(method=maxl) lemp #constant lyk2 lupr lempam sy afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMP - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 141 Centered R**2 0.970701 R Bar **2 0.966961 Uncentered R**2 0.999435 T x R**2 159.910 Mean of Dependent Variable -0.849226949 Std Error of Dependent Variable 0.119408178 Standard Error of Estimate 0.021704381 Sum of Squared Residuals 0.0664223022 Durbin-Watson Statistic 2.122441 Q(36-1) 105.674769 Significance Level of Q 0.00000001 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.321907395 0.935497012 -0.34410 0.73128141 2. LYK2 -0.055243429 0.040580753 -1.36132 0.17558378 3. LUPR -0.019528234 0.026508416 -0.73668 0.46254059 4. LEMPAM 1.904070216 0.518412034 3.67289 0.00033966 5. SY -1.177208680 0.446831337 -2.63457 0.00936615 6. AFP 0.753760276 1.057934412 0.71248 0.47734308 7. LPOP 0.038835755 0.340670697 0.11400 0.90940159 8. TREND 0.000975770 0.003434475 0.28411 0.77674245 9. TRENDSQ 0.000004464 0.000022799 0.19582 0.84503621 10. SEASONS{-2} 0.096807223 0.011353882 8.52635 0.00000000 11. SEASONS{-1} 0.275074252 0.013721283 20.04727 0.00000000 12. SEASONS 0.084529688 0.012273477 6.88718 0.00000000 13. TQ2 0.000238415 0.000282310 0.84452 0.39981064 14. TQ3 -0.000606088 0.000324691 -1.86666 0.06402561 15. TQ4 -0.000725249 0.000286678 -2.52983 0.01251094 16. T2Q2 -0.000002534 0.000001755 -1.44384 0.15100255 17. T2Q3 -0.000000223 0.000002011 -0.11113 0.91167417 18. T2Q4 0.000002025 0.000001765 1.14715 0.25326230 ******************************************************************************* 19. RHO 0.942690198 0.029984945 31.43878 0.00000000 *************************************************************************** *******FEMALES *******AR1 -- with and without adult male epop -- log model ar1(method=maxl) lempf #constant lyk2 lupr syf afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPF - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 142 Centered R**2 0.967650 R Bar **2 0.963777 Uncentered R**2 0.999295 T x R**2 159.887 Mean of Dependent Variable -0.955586725 Std Error of Dependent Variable 0.143120737 Standard Error of Estimate 0.027239163 Sum of Squared Residuals 0.1053600206 Durbin-Watson Statistic 2.280696 Q(36-1) 37.394250 Significance Level of Q 0.35970882 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.693623247 1.101190656 -0.62988 0.52978218 2. LYK2 -0.045201929 0.050589538 -0.89350 0.37309940 3. LUPR -0.070417018 0.022437622 -3.13835 0.00206665 4. SYF -1.400795101 0.580952660 -2.41120 0.01717821 5. AFP 0.576461718 1.301828896 0.44281 0.65857760 6. LPOP 0.042551858 0.402110189 0.10582 0.91587341 7. TREND 0.001892243 0.004037805 0.46863 0.64005161 8. TRENDSQ 0.000002604 0.000026891 0.09685 0.92297976 9. SEASONS{-2} 0.045599711 0.013524667 3.37160 0.00096301 10. SEASONS{-1} 0.259148040 0.016790373 15.43432 0.00000000 11. SEASONS 0.139839403 0.015201759 9.19890 0.00000000 12. TQ2 -0.000025887 0.000338507 -0.07647 0.93915037 13. TQ3 -0.001264705 0.000399145 -3.16853 0.00187640 14. TQ4 -0.001401240 0.000356182 -3.93406 0.00013020 15. T2Q2 0.000001375 0.000002070 0.66455 0.50741653 16. T2Q3 0.000004567 0.000002412 1.89370 0.06029910 17. T2Q4 0.000004649 0.000002150 2.16243 0.03226004 ******************************************************************************* 18. RHO 0.922350143 0.034240053 26.93775 0.00000000 ar1(method=maxl) lempf #constant lyk2 lupr lempam syf afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPF - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 141 Centered R**2 0.968506 R Bar **2 0.964486 Uncentered R**2 0.999313 T x R**2 159.890 Mean of Dependent Variable -0.955586725 Std Error of Dependent Variable 0.143120737 Standard Error of Estimate 0.026971383 Sum of Squared Residuals 0.1025712283 Durbin-Watson Statistic 2.272505 Q(36-1) 35.428610 Significance Level of Q 0.44799472 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.339041138 1.120661044 -0.30254 0.76268877 2. LYK2 -0.033625609 0.050463196 -0.66634 0.50628306 3. LUPR -0.022961619 0.033103341 -0.69363 0.48905256 4. LEMPAM 1.262893574 0.647995413 1.94892 0.05328985 5. SYF -1.425732925 0.577075491 -2.47062 0.01468021 6. AFP 0.441783619 1.292373356 0.34184 0.73298101 7. LPOP 0.069007013 0.404383117 0.17065 0.86474549 8. TREND 0.001658118 0.004061222 0.40828 0.68368712 9. TRENDSQ 0.000006360 0.000027075 0.23492 0.81461513 10. SEASONS{-2} 0.036406061 0.014168780 2.56946 0.01122434 11. SEASONS{-1} 0.250883691 0.017127732 14.64781 0.00000000 12. SEASONS 0.134037670 0.015317717 8.75050 0.00000000 13. TQ2 0.000194383 0.000353246 0.55027 0.58300153 14. TQ3 -0.001075128 0.000406447 -2.64519 0.00909097 15. TQ4 -0.001267536 0.000358717 -3.53352 0.00055489 16. T2Q2 -0.000000177 0.000002196 -0.08075 0.93575199 17. T2Q3 0.000002998 0.000002517 1.19093 0.23568195 18. T2Q4 0.000003489 0.000002208 1.58025 0.11628983 ******************************************************************************* 19. RHO 0.927212324 0.033621013 27.57836 0.00000000 *******MALES *******AR1 -- with and without adult male epop -- log model ar1(method=maxl) lempm #constant lyk2 lupr sym afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPM - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 142 Centered R**2 0.966104 R Bar **2 0.962046 Uncentered R**2 0.999003 T x R**2 159.840 Mean of Dependent Variable -0.752919241 Std Error of Dependent Variable 0.131476363 Standard Error of Estimate 0.025613841 Sum of Squared Residuals 0.0931617779 Durbin-Watson Statistic 2.230877 Q(36-1) 140.840709 Significance Level of Q 0.00000000 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.672749163 0.931559968 -0.72217 0.47137459 2. LYK2 -0.089626866 0.047507441 -1.88659 0.06125770 3. LUPR -0.100587059 0.020879961 -4.81740 0.00000369 4. SYM -1.091676256 0.477414807 -2.28664 0.02369573 5. AFP 1.607299128 1.278364262 1.25731 0.21070565 6. LPOP 0.048757985 0.340602936 0.14315 0.88637309 7. TREND 0.000578756 0.003419945 0.16923 0.86585678 8. TRENDSQ -0.000001533 0.000022874 -0.06702 0.94666180 9. SEASONS{-2} 0.158267654 0.012877528 12.29022 0.00000000 10. SEASONS{-1} 0.310997821 0.015919464 19.53570 0.00000000 11. SEASONS 0.058347843 0.014403154 4.05105 0.00008357 12. TQ2 -0.000043511 0.000323865 -0.13435 0.89331741 13. TQ3 -0.000580626 0.000381068 -1.52368 0.12981283 14. TQ4 -0.000554513 0.000340014 -1.63085 0.10513710 15. T2Q2 -0.000001673 0.000001978 -0.84583 0.39907210 16. T2Q3 0.000000432 0.000002302 0.18763 0.85143733 17. T2Q4 0.000003127 0.000002052 1.52428 0.12966208 ******************************************************************************* 18. RHO 0.889300572 0.040188347 22.12832 0.00000000 ar1(method=maxl) lempm #constant lyk2 lupr lempam sym afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPM - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 141 Centered R**2 0.969793 R Bar **2 0.965937 Uncentered R**2 0.999112 T x R**2 159.858 Mean of Dependent Variable -0.752919241 Std Error of Dependent Variable 0.131476363 Standard Error of Estimate 0.024265504 Sum of Squared Residuals 0.0830228714 Durbin-Watson Statistic 2.118384 Q(36-1) 185.054849 Significance Level of Q 0.00000000 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.137706789 0.952054647 -0.14464 0.88520032 2. LYK2 -0.068826943 0.045420300 -1.51533 0.13192631 3. LUPR -0.008867702 0.029925739 -0.29632 0.76741899 4. LEMPAM 2.437166850 0.585978571 4.15914 0.00005523 5. SYM -1.087325649 0.459627740 -2.36567 0.01935888 6. AFP 1.296534780 1.221490093 1.06144 0.29030603 7. LPOP 0.052566237 0.344936282 0.15239 0.87909400 8. TREND 0.000564027 0.003460834 0.16297 0.87077198 9. TRENDSQ 0.000002724 0.000023148 0.11768 0.90648684 10. SEASONS{-2} 0.140563138 0.012834857 10.95167 0.00000000 11. SEASONS{-1} 0.295231868 0.015468684 19.08578 0.00000000 12. SEASONS 0.047362362 0.013831335 3.42428 0.00080747 13. TQ2 0.000380340 0.000320938 1.18509 0.23797611 14. TQ3 -0.000220625 0.000368399 -0.59887 0.55021772 15. TQ4 -0.000304468 0.000325155 -0.93638 0.35067966 16. T2Q2 -0.000004663 0.000001994 -2.33791 0.02079811 17. T2Q3 -0.000002561 0.000002282 -1.12264 0.26349927 18. T2Q4 0.000000940 0.000002001 0.46996 0.63910899 ******************************************************************************* 19. RHO 0.910128366 0.036797649 24.73333 0.00000000 ******* WHITES *******AR1 -- with and without adult male epop -- log model ar1(method=maxl) lempw #constant lyk2 lupr syw afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPW - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 142 Centered R**2 0.971058 R Bar **2 0.967593 Uncentered R**2 0.999252 T x R**2 159.880 Mean of Dependent Variable -0.787768803 Std Error of Dependent Variable 0.128718068 Standard Error of Estimate 0.023171593 Sum of Squared Residuals 0.0762430234 Durbin-Watson Statistic 2.296643 Q(36-1) 112.761948 Significance Level of Q 0.00000000 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -1.012622486 0.974367368 -1.03926 0.30044947 2. LYK2 -0.069785531 0.043001302 -1.62287 0.10683517 3. LUPR -0.094046989 0.019121826 -4.91831 0.00000238 4. SYW -0.943625583 0.440473868 -2.14230 0.03387514 5. AFP 0.607567544 1.127207266 0.53900 0.59072917 6. LPOP -0.036122997 0.362337881 -0.09969 0.92072769 7. TREND 0.001934518 0.003653273 0.52953 0.59726467 8. TRENDSQ -0.000002224 0.000024214 -0.09186 0.92694052 9. SEASONS{-2} 0.092226646 0.011432394 8.06713 0.00000000 10. SEASONS{-1} 0.283356486 0.014190754 19.96768 0.00000000 11. SEASONS 0.079628935 0.012853164 6.19528 0.00000001 12. TQ2 0.000263865 0.000285418 0.92449 0.35680185 13. TQ3 -0.001011342 0.000336358 -3.00674 0.00312380 14. TQ4 -0.000734912 0.000300300 -2.44726 0.01561531 15. T2Q2 -0.000001842 0.000001745 -1.05564 0.29292587 16. T2Q3 0.000002567 0.000002032 1.26296 0.20867374 17. T2Q4 0.000002980 0.000001813 1.64385 0.10242032 ******************************************************************************* 18. RHO 0.941903213 0.029626103 31.79302 0.00000000 ar1(method=maxl) lempw #constant lyk2 lupr lempam syw afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPW - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 141 Centered R**2 0.972904 R Bar **2 0.969445 Uncentered R**2 0.999300 T x R**2 159.888 Mean of Dependent Variable -0.787768803 Std Error of Dependent Variable 0.128718068 Standard Error of Estimate 0.022499953 Sum of Squared Residuals 0.0713809545 Durbin-Watson Statistic 2.227219 Q(36-1) 111.120550 Significance Level of Q 0.00000000 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.570139534 0.976586854 -0.58381 0.56028204 2. LYK2 -0.054961835 0.042032330 -1.30761 0.19313417 3. LUPR -0.032295699 0.027413320 -1.17810 0.24074026 4. LEMPAM 1.656033288 0.535964486 3.08982 0.00241337 5. SYW -0.955327146 0.428679436 -2.22854 0.02742780 6. AFP 0.429835793 1.097225283 0.39175 0.69583586 7. LPOP -0.006416172 0.359603662 -0.01784 0.98578985 8. TREND 0.001608148 0.003640293 0.44176 0.65933721 9. TRENDSQ 0.000002673 0.000024097 0.11094 0.91182220 10. SEASONS{-2} 0.080030985 0.011740591 6.81661 0.00000000 11. SEASONS{-1} 0.272345783 0.014187227 19.19655 0.00000000 12. SEASONS 0.071851278 0.012692435 5.66095 0.00000008 13. TQ2 0.000552248 0.000291761 1.89281 0.06043294 14. TQ3 -0.000763632 0.000335431 -2.27657 0.02431775 15. TQ4 -0.000559988 0.000296240 -1.89032 0.06076729 16. T2Q2 -0.000003872 0.000001814 -2.13502 0.03448805 17. T2Q3 0.000000519 0.000002078 0.24984 0.80307612 18. T2Q4 0.000001466 0.000001824 0.80358 0.42299129 ******************************************************************************* 19. RHO 0.949613961 0.028053899 33.84963 0.00000000 ******* NONWHITES *******AR1 -- with and without adult male epop -- log model ar1(method=maxl) lempnw #constant lyk2 lupr synw afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPNW - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 142 Centered R**2 0.945166 R Bar **2 0.938602 Uncentered R**2 0.998622 T x R**2 159.780 Mean of Dependent Variable -1.275216648 Std Error of Dependent Variable 0.205395746 Standard Error of Estimate 0.050894425 Sum of Squared Residuals 0.3678144399 Durbin-Watson Statistic 2.152007 Q(36-1) 66.807314 Significance Level of Q 0.00095130 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant -0.791921423 1.337468126 -0.59210 0.55472194 2. LYK2 -0.141288922 0.088133994 -1.60311 0.11113131 3. LUPR -0.150626778 0.035402149 -4.25474 0.00003779 4. SYNW -1.805138918 1.026507397 -1.75852 0.08081249 5. AFP 3.402805631 2.234115450 1.52311 0.12995486 6. LPOP 0.122842177 0.437960014 0.28049 0.77951197 7. TREND -0.004027536 0.004277310 -0.94160 0.34799410 8. TRENDSQ 0.000024383 0.000028689 0.84991 0.39680815 9. SEASONS{-2} 0.254866793 0.026575228 9.59039 0.00000000 10. SEASONS{-1} 0.278294089 0.032424190 8.58292 0.00000000 11. SEASONS 0.179205158 0.029258497 6.12489 0.00000001 12. TQ2 -0.003591117 0.000699926 -5.13071 0.00000093 13. TQ3 0.000784748 0.000820409 0.95653 0.34042888 14. TQ4 -0.002598253 0.000733198 -3.54373 0.00053446 15. T2Q2 0.000017421 0.000004273 4.07658 0.00007577 16. T2Q3 -0.000004916 0.000004949 -0.99336 0.32222439 17. T2Q4 0.000011555 0.000004417 2.61587 0.00986211 ******************************************************************************* 18. RHO 0.714984006 0.062178017 11.49898 0.00000000 ar1(method=maxl) lempnw #constant lyk2 lupr lempam synw afp lpop trend trendsq seasons{-2 to 0} $ tq2 tq3 tq4 t2q2 t2q3 t2q4 Dependent Variable LEMPNW - Estimation by Beach-MacKinnon Quarterly Data From 54:01 To 93:04 Usable Observations 160 Degrees of Freedom 141 Centered R**2 0.952319 R Bar **2 0.946232 Uncentered R**2 0.998802 T x R**2 159.808 Mean of Dependent Variable -1.275216648 Std Error of Dependent Variable 0.205395746 Standard Error of Estimate 0.047626828 Sum of Squared Residuals 0.3198323739 Durbin-Watson Statistic 2.009712 Q(36-1) 66.442282 Significance Level of Q 0.00104777 Variable Coeff Std Error T-Stat Signif ******************************************************************************* 1. Constant 0.843217196 1.171419218 0.71983 0.47282404 2. LYK2 -0.092321242 0.078642447 -1.17394 0.24239948 3. LUPR 0.064443808 0.058683436 1.09816 0.27400629 4. LEMPAM 5.635379594 1.190279455 4.73450 0.00000529 5. SYNW -2.358663658 0.889358893 -2.65209 0.00891588 6. AFP 2.915467250 1.967029679 1.48217 0.14052725 7. LPOP 0.176601421 0.353935499 0.49896 0.61858162 8. TREND -0.004100769 0.003383638 -1.21194 0.22756204 9. TRENDSQ 0.000035272 0.000022963 1.53603 0.12677290 10. SEASONS{-2} 0.213980532 0.026268650 8.14585 0.00000000 11. SEASONS{-1} 0.240571129 0.031079284 7.74056 0.00000000 12. SEASONS 0.152475492 0.027821348 5.48052 0.00000019 13. TQ2 -0.002596485 0.000712179 -3.64583 0.00037401 14. TQ3 0.001695220 0.000814896 2.08029 0.03930869 15. TQ4 -0.001940804 0.000722366 -2.68673 0.00808288 16. T2Q2 0.000010455 0.000004415 2.36773 0.01925522 17. T2Q3 -0.000012277 0.000005033 -2.43932 0.01595695 18. T2Q4 0.000005971 0.000004433 1.34693 0.18016443 ******************************************************************************* 19. RHO 0.635683163 0.068566615 9.27103 0.00000000 end Normal Completion