However, I am trying to find if this weakens as the income per capita increases or turns positive for higher income countries and hence believe the
Code:
margins
Code:
. xtdpdgmm growth_rate c.l.gini_disp##c.l.ln_Income l.EFW l.ln_pl_i l.fyr_sch_sec l.myr_sch_sec, > model(fod) gmm(l.(c.gini_disp##c.ln_Income EFW ln_pl_i fyr_sch_sec myr_sch_sec), lag(0 0)) gm > m(l.(c.gini_disp##c.ln_Income EFW ln_pl_i fyr_sch_sec myr_sch_sec), lag(0 0) diff model(level) > ) two w(ind) teffects note: standard errors can be severely biased in finite samples Generalized method of moments estimation Fitting full model: Step 1 f(b) = .00142514 Step 2 f(b) = .88647575 Group variable: ncountry Number of obs = 708 Time variable: period Number of groups = 112 Moment conditions: linear = 156 Obs per group: min = 1 nonlinear = 0 avg = 6.321429 total = 156 max = 11 ------------------------------------------------------------------------------------------- growth_rate | Coef. Std. Err. z P>|z| [95% Conf. Interval] --------------------------+---------------------------------------------------------------- gini_disp | L1. | -.0092847 .0008463 -10.97 0.000 -.0109434 -.007626 | ln_Income | L1. | -.0522122 .0039198 -13.32 0.000 -.0598949 -.0445296 | cL.gini_disp#cL.ln_Income | .0009942 .000096 10.36 0.000 .0008062 .0011823 | EFW | L1. | .0078056 .0006158 12.68 0.000 .0065987 .0090124 | ln_pl_i | L1. | -.0054779 .0009282 -5.90 0.000 -.0072971 -.0036586 | fyr_sch_sec | L1. | .0001479 .0015346 0.10 0.923 -.0028598 .0031556 | myr_sch_sec | L1. | .0119233 .0016257 7.33 0.000 .008737 .0151097 | period | 1970 | .0047695 .0008684 5.49 0.000 .0030676 .0064715 1975 | -.0028515 .0012079 -2.36 0.018 -.0052189 -.000484 1980 | -.0152241 .0011472 -13.27 0.000 -.0174725 -.0129757 1985 | -.0064175 .0021772 -2.95 0.003 -.0106847 -.0021503 1990 | -.0024537 .0019021 -1.29 0.197 -.0061817 .0012744 1995 | -.0099781 .0023262 -4.29 0.000 -.0145373 -.0054189 2000 | -.017659 .0021014 -8.40 0.000 -.0217777 -.0135404 2005 | -.0088494 .0021685 -4.08 0.000 -.0130995 -.0045992 2010 | -.013366 .0027469 -4.87 0.000 -.0187499 -.0079821 2015 | -.0326874 .0030746 -10.63 0.000 -.0387135 -.0266612 | _cons | .4437157 .0332909 13.33 0.000 .3784667 .5089647 ------------------------------------------------------------------------------------------- Instruments corresponding to the linear moment conditions: 1, model(fodev): 1965:L.gini_disp 1970:L.gini_disp 1975:L.gini_disp 1980:L.gini_disp 1985:L.gini_disp 1990:L.gini_disp 1995:L.gini_disp 2000:L.gini_disp 2005:L.gini_disp 2010:L.gini_disp 2020:L.gini_disp 2025:L.gini_disp 1965:L.ln_Income 1970:L.ln_Income 1975:L.ln_Income 1980:L.ln_Income 1985:L.ln_Income 1990:L.ln_Income 1995:L.ln_Income 2000:L.ln_Income 2010:L.ln_Income 2015:L.ln_Income 2020:L.ln_Income 2025:L.ln_Income 1965:cL.gini_disp#cL.ln_Income 1970:cL.gini_disp#cL.ln_Income 1975:cL.gini_disp#cL.ln_Income 1980:cL.gini_disp#cL.ln_Income 1985:cL.gini_disp#cL.ln_Income 1990:cL.gini_disp#cL.ln_Income 2000:cL.gini_disp#cL.ln_Income 2005:cL.gini_disp#cL.ln_Income 2010:cL.gini_disp#cL.ln_Income 2015:cL.gini_disp#cL.ln_Income 2020:cL.gini_disp#cL.ln_Income 2025:cL.gini_disp#cL.ln_Income 1965:L.EFW 1970:L.EFW 1975:L.EFW 1980:L.EFW 1990:L.EFW 1995:L.EFW 2000:L.EFW 2005:L.EFW 2010:L.EFW 2015:L.EFW 2020:L.EFW 2025:L.EFW 1965:L.ln_pl_i 1970:L.ln_pl_i 1980:L.ln_pl_i 1985:L.ln_pl_i 1990:L.ln_pl_i 1995:L.ln_pl_i 2000:L.ln_pl_i 2005:L.ln_pl_i 2010:L.ln_pl_i 2015:L.ln_pl_i 2020:L.ln_pl_i 2025:L.ln_pl_i 1970:L.fyr_sch_sec 1975:L.fyr_sch_sec 1980:L.fyr_sch_sec 1985:L.fyr_sch_sec 1990:L.fyr_sch_sec 1995:L.fyr_sch_sec 2000:L.fyr_sch_sec 2005:L.fyr_sch_sec 2010:L.fyr_sch_sec 2015:L.fyr_sch_sec 2, model(level): 1970:D.L.gini_disp 1975:D.L.gini_disp 1980:D.L.gini_disp 1985:D.L.gini_disp 1990:D.L.gini_disp 1995:D.L.gini_disp 2000:D.L.gini_disp 2005:D.L.gini_disp 2010:D.L.gini_disp 2015:D.L.gini_disp 2020:D.L.gini_disp 2025:D.L.gini_disp 1965:D.L.ln_Income 1970:D.L.ln_Income 1975:D.L.ln_Income 1980:D.L.ln_Income 1985:D.L.ln_Income 1990:D.L.ln_Income 1995:D.L.ln_Income 2000:D.L.ln_Income 2005:D.L.ln_Income 2015:D.L.ln_Income 2020:D.L.ln_Income 2025:D.L.ln_Income 1965:D.cL.gini_disp#cL.ln_Income 1970:D.cL.gini_disp#cL.ln_Income 1975:D.cL.gini_disp#cL.ln_Income 1980:D.cL.gini_disp#cL.ln_Income 1985:D.cL.gini_disp#cL.ln_Income 1990:D.cL.gini_disp#cL.ln_Income 1995:D.cL.gini_disp#cL.ln_Income 2000:D.cL.gini_disp#cL.ln_Income 2005:D.cL.gini_disp#cL.ln_Income 2010:D.cL.gini_disp#cL.ln_Income 2015:D.cL.gini_disp#cL.ln_Income 2020:D.cL.gini_disp#cL.ln_Income 2025:D.cL.gini_disp#cL.ln_Income 1965:D.L.EFW 1970:D.L.EFW 1975:D.L.EFW 1980:D.L.EFW 1985:D.L.EFW 1990:D.L.EFW 1995:D.L.EFW 2000:D.L.EFW 2005:D.L.EFW 2010:D.L.EFW 2015:D.L.EFW 2020:D.L.EFW 2025:D.L.EFW 1965:D.L.ln_pl_i 1970:D.L.ln_pl_i 1975:D.L.ln_pl_i 1980:D.L.ln_pl_i 1985:D.L.ln_pl_i 1990:D.L.ln_pl_i 1995:D.L.ln_pl_i 2000:D.L.ln_pl_i 2005:D.L.ln_pl_i 2010:D.L.ln_pl_i 2015:D.L.ln_pl_i 2020:D.L.ln_pl_i 2025:D.L.ln_pl_i 1965:D.L.fyr_sch_sec 1970:D.L.fyr_sch_sec 1975:D.L.fyr_sch_sec 1980:D.L.fyr_sch_sec 1985:D.L.fyr_sch_sec 1990:D.L.fyr_sch_sec 1995:D.L.fyr_sch_sec 2000:D.L.fyr_sch_sec 2005:D.L.fyr_sch_sec 2010:D.L.fyr_sch_sec 2015:D.L.fyr_sch_sec 2020:D.L.fyr_sch_sec 3, model(level): 1970bn.period 1975.period 1980.period 1985.period 1990.period 1995.period 2000.period 2005.period 2010.period 2015.period 4, model(level): _cons
Code:
. margins, dydx(l.gini_disp) at(l.ln_Income = (0(0.1)10)) Average marginal effects Number of obs = 708 Model VCE : Conventional Expression : Linear prediction, predict() dy/dx w.r.t. : L.gini_disp 1._at : L.ln_Income = 0 2._at : L.ln_Income = .1 3._at : L.ln_Income = .2 4._at : L.ln_Income = .3 5._at : L.ln_Income = .4 6._at : L.ln_Income = .5 7._at : L.ln_Income = .6 8._at : L.ln_Income = .7 9._at : L.ln_Income = .8 10._at : L.ln_Income = .9 11._at : L.ln_Income = 1 12._at : L.ln_Income = 1.1 13._at : L.ln_Income = 1.2 14._at : L.ln_Income = 1.3 15._at : L.ln_Income = 1.4 16._at : L.ln_Income = 1.5 17._at : L.ln_Income = 1.6 18._at : L.ln_Income = 1.7 19._at : L.ln_Income = 1.8 20._at : L.ln_Income = 1.9 21._at : L.ln_Income = 2 22._at : L.ln_Income = 2.1 23._at : L.ln_Income = 2.2 24._at : L.ln_Income = 2.3 25._at : L.ln_Income = 2.4 26._at : L.ln_Income = 2.5 27._at : L.ln_Income = 2.6 28._at : L.ln_Income = 2.7 29._at : L.ln_Income = 2.8 30._at : L.ln_Income = 2.9 31._at : L.ln_Income = 3 32._at : L.ln_Income = 3.1 33._at : L.ln_Income = 3.2 34._at : L.ln_Income = 3.3 35._at : L.ln_Income = 3.4 36._at : L.ln_Income = 3.5 37._at : L.ln_Income = 3.6 38._at : L.ln_Income = 3.7 39._at : L.ln_Income = 3.8 40._at : L.ln_Income = 3.9 41._at : L.ln_Income = 4 42._at : L.ln_Income = 4.1 43._at : L.ln_Income = 4.2 44._at : L.ln_Income = 4.3 45._at : L.ln_Income = 4.4 46._at : L.ln_Income = 4.5 47._at : L.ln_Income = 4.6 48._at : L.ln_Income = 4.7 49._at : L.ln_Income = 4.8 50._at : L.ln_Income = 4.9 51._at : L.ln_Income = 5 52._at : L.ln_Income = 5.1 53._at : L.ln_Income = 5.2 54._at : L.ln_Income = 5.3 55._at : L.ln_Income = 5.4 56._at : L.ln_Income = 5.5 57._at : L.ln_Income = 5.6 58._at : L.ln_Income = 5.7 59._at : L.ln_Income = 5.8 60._at : L.ln_Income = 5.9 61._at : L.ln_Income = 6 62._at : L.ln_Income = 6.1 63._at : L.ln_Income = 6.2 64._at : L.ln_Income = 6.3 65._at : L.ln_Income = 6.4 66._at : L.ln_Income = 6.5 67._at : L.ln_Income = 6.6 68._at : L.ln_Income = 6.7 69._at : L.ln_Income = 6.8 70._at : L.ln_Income = 6.9 71._at : L.ln_Income = 7 72._at : L.ln_Income = 7.1 73._at : L.ln_Income = 7.2 74._at : L.ln_Income = 7.3 75._at : L.ln_Income = 7.4 76._at : L.ln_Income = 7.5 77._at : L.ln_Income = 7.6 78._at : L.ln_Income = 7.7 79._at : L.ln_Income = 7.8 80._at : L.ln_Income = 7.9 81._at : L.ln_Income = 8 82._at : L.ln_Income = 8.1 83._at : L.ln_Income = 8.2 84._at : L.ln_Income = 8.3 85._at : L.ln_Income = 8.4 86._at : L.ln_Income = 8.5 87._at : L.ln_Income = 8.6 88._at : L.ln_Income = 8.7 89._at : L.ln_Income = 8.8 90._at : L.ln_Income = 8.9 91._at : L.ln_Income = 9 92._at : L.ln_Income = 9.1 93._at : L.ln_Income = 9.2 94._at : L.ln_Income = 9.3 95._at : L.ln_Income = 9.4 96._at : L.ln_Income = 9.5 97._at : L.ln_Income = 9.6 98._at : L.ln_Income = 9.7 99._at : L.ln_Income = 9.8 100._at : L.ln_Income = 9.9 101._at : L.ln_Income = 10 ------------------------------------------------------------------------------ | Delta-method | dy/dx Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- L.gini_disp | _at | 1 | -.0092847 .0008463 -10.97 0.000 -.0109434 -.007626 2 | -.0091853 .0008367 -10.98 0.000 -.0108253 -.0075453 3 | -.0090859 .0008272 -10.98 0.000 -.0107072 -.0074645 4 | -.0089864 .0008177 -10.99 0.000 -.0105891 -.0073837 5 | -.008887 .0008082 -11.00 0.000 -.010471 -.007303 6 | -.0087876 .0007987 -11.00 0.000 -.010353 -.0072222 7 | -.0086882 .0007892 -11.01 0.000 -.0102349 -.0071414 8 | -.0085887 .0007797 -11.02 0.000 -.0101169 -.0070606 9 | -.0084893 .0007702 -11.02 0.000 -.0099988 -.0069798 10 | -.0083899 .0007607 -11.03 0.000 -.0098807 -.006899 11 | -.0082905 .0007511 -11.04 0.000 -.0097627 -.0068182 12 | -.008191 .0007416 -11.04 0.000 -.0096447 -.0067374 13 | -.0080916 .0007322 -11.05 0.000 -.0095266 -.0066566 14 | -.0079922 .0007227 -11.06 0.000 -.0094086 -.0065758 15 | -.0078928 .0007132 -11.07 0.000 -.0092906 -.006495 16 | -.0077934 .0007037 -11.08 0.000 -.0091725 -.0064142 17 | -.0076939 .0006942 -11.08 0.000 -.0090545 -.0063333 18 | -.0075945 .0006847 -11.09 0.000 -.0089365 -.0062525 19 | -.0074951 .0006752 -11.10 0.000 -.0088185 -.0061717 20 | -.0073957 .0006657 -11.11 0.000 -.0087005 -.0060908 21 | -.0072962 .0006563 -11.12 0.000 -.0085825 -.00601 22 | -.0071968 .0006468 -11.13 0.000 -.0084645 -.0059291 23 | -.0070974 .0006373 -11.14 0.000 -.0083465 -.0058482 24 | -.006998 .0006279 -11.15 0.000 -.0082286 -.0057674 25 | -.0068985 .0006184 -11.16 0.000 -.0081106 -.0056865 26 | -.0067991 .000609 -11.17 0.000 -.0079927 -.0056056 27 | -.0066997 .0005995 -11.18 0.000 -.0078747 -.0055247 28 | -.0066003 .0005901 -11.19 0.000 -.0077568 -.0054438 29 | -.0065009 .0005806 -11.20 0.000 -.0076389 -.0053628 30 | -.0064014 .0005712 -11.21 0.000 -.0075209 -.0052819 31 | -.006302 .0005618 -11.22 0.000 -.007403 -.005201 32 | -.0062026 .0005523 -11.23 0.000 -.0072851 -.00512 33 | -.0061032 .0005429 -11.24 0.000 -.0071673 -.0050391 34 | -.0060037 .0005335 -11.25 0.000 -.0070494 -.0049581 35 | -.0059043 .0005241 -11.27 0.000 -.0069315 -.0048771 36 | -.0058049 .0005147 -11.28 0.000 -.0068137 -.0047961 37 | -.0057055 .0005053 -11.29 0.000 -.0066959 -.0047151 38 | -.005606 .0004959 -11.30 0.000 -.0065781 -.004634 39 | -.0055066 .0004866 -11.32 0.000 -.0064603 -.004553 40 | -.0054072 .0004772 -11.33 0.000 -.0063425 -.0044719 41 | -.0053078 .0004678 -11.35 0.000 -.0062247 -.0043908 42 | -.0052084 .0004585 -11.36 0.000 -.006107 -.0043097 43 | -.0051089 .0004492 -11.37 0.000 -.0059893 -.0042286 44 | -.0050095 .0004398 -11.39 0.000 -.0058716 -.0041474 45 | -.0049101 .0004305 -11.40 0.000 -.0057539 -.0040663 46 | -.0048107 .0004212 -11.42 0.000 -.0056363 -.0039851 47 | -.0047112 .0004119 -11.44 0.000 -.0055186 -.0039038 48 | -.0046118 .0004027 -11.45 0.000 -.005401 -.0038226 49 | -.0045124 .0003934 -11.47 0.000 -.0052835 -.0037413 50 | -.004413 .0003842 -11.49 0.000 -.0051659 -.00366 51 | -.0043135 .000375 -11.50 0.000 -.0050485 -.0035786 52 | -.0042141 .0003658 -11.52 0.000 -.004931 -.0034972 53 | -.0041147 .0003566 -11.54 0.000 -.0048136 -.0034158 54 | -.0040153 .0003474 -11.56 0.000 -.0046962 -.0033343 55 | -.0039158 .0003383 -11.58 0.000 -.0045789 -.0032528 56 | -.0038164 .0003292 -11.59 0.000 -.0044616 -.0031712 57 | -.003717 .0003201 -11.61 0.000 -.0043444 -.0030896 58 | -.0036176 .0003111 -11.63 0.000 -.0042272 -.0030079 59 | -.0035182 .000302 -11.65 0.000 -.0041101 -.0029262 60 | -.0034187 .0002931 -11.67 0.000 -.0039931 -.0028443 61 | -.0033193 .0002841 -11.68 0.000 -.0038762 -.0027624 62 | -.0032199 .0002752 -11.70 0.000 -.0037593 -.0026804 63 | -.0031205 .0002664 -11.71 0.000 -.0036426 -.0025983 64 | -.003021 .0002576 -11.73 0.000 -.0035259 -.0025161 65 | -.0029216 .0002489 -11.74 0.000 -.0034094 -.0024338 66 | -.0028222 .0002402 -11.75 0.000 -.003293 -.0023514 67 | -.0027228 .0002316 -11.76 0.000 -.0031767 -.0022688 68 | -.0026233 .0002231 -11.76 0.000 -.0030606 -.002186 69 | -.0025239 .0002147 -11.76 0.000 -.0029447 -.0021031 70 | -.0024245 .0002064 -11.75 0.000 -.002829 -.00202 71 | -.0023251 .0001982 -11.73 0.000 -.0027135 -.0019366 72 | -.0022257 .0001901 -11.71 0.000 -.0025983 -.001853 73 | -.0021262 .0001822 -11.67 0.000 -.0024834 -.0017691 74 | -.0020268 .0001745 -11.62 0.000 -.0023687 -.0016849 75 | -.0019274 .0001669 -11.55 0.000 -.0022545 -.0016003 76 | -.001828 .0001596 -11.46 0.000 -.0021407 -.0015152 77 | -.0017285 .0001525 -11.34 0.000 -.0020274 -.0014297 78 | -.0016291 .0001457 -11.18 0.000 -.0019146 -.0013436 79 | -.0015297 .0001392 -10.99 0.000 -.0018025 -.0012568 80 | -.0014303 .0001331 -10.74 0.000 -.0016912 -.0011693 81 | -.0013308 .0001275 -10.44 0.000 -.0015807 -.001081 82 | -.0012314 .0001223 -10.07 0.000 -.0014711 -.0009917 83 | -.001132 .0001177 -9.62 0.000 -.0013627 -.0009013 84 | -.0010326 .0001137 -9.08 0.000 -.0012554 -.0008097 85 | -.0009332 .0001104 -8.45 0.000 -.0011496 -.0007167 86 | -.0008337 .0001079 -7.73 0.000 -.0010452 -.0006223 87 | -.0007343 .0001061 -6.92 0.000 -.0009424 -.0005263 88 | -.0006349 .0001053 -6.03 0.000 -.0008412 -.0004286 89 | -.0005355 .0001053 -5.09 0.000 -.0007418 -.0003291 90 | -.000436 .0001061 -4.11 0.000 -.000644 -.000228 91 | -.0003366 .0001078 -3.12 0.002 -.000548 -.0001252 92 | -.0002372 .0001104 -2.15 0.032 -.0004535 -.0000209 93 | -.0001378 .0001137 -1.21 0.225 -.0003605 .000085 94 | -.0000383 .0001176 -0.33 0.744 -.0002689 .0001922 95 | .0000611 .0001222 0.50 0.617 -.0001785 .0003007 96 | .0001605 .0001274 1.26 0.208 -.0000892 .0004102 97 | .0002599 .000133 1.95 0.051 -8.34e-07 .0005207 98 | .0003593 .0001391 2.58 0.010 .0000867 .000632 99 | .0004588 .0001456 3.15 0.002 .0001734 .0007441 100 | .0005582 .0001524 3.66 0.000 .0002595 .0008569 101 | .0006576 .0001595 4.12 0.000 .0003451 .0009702 ------------------------------------------------------------------------------ . marginsplot Variables that uniquely identify margins: L.ln_Income
But, I am not sure if this is the appropriate code for the information I am trying to get. Any help understanding the appropriate code would be greatly appreciated.
0 Response to Margins for Interaction Term
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