My sample is 27 countries over the period 1970-2020.
Code:
* Example generated by -dataex-. For more info, type help dataex clear input float(ln_co2pc_gr res_share_ch ei_ch) long pais float year . . . 1 1970 .04318523 -.6838717 8.359551e-06 1 1971 -.003316879 -.5843963 .0009368509 1 1972 .035467148 -.19065896 .0010287017 1 1973 -.01744461 1.1816183 -.0017663687 1 1974 -.04150105 -1.1635613 -.0006288141 1 1975 .02756405 -.4502255 .004128687 1 1976 .027318 .4519265 -.003269479 1 1977 -.01889515 .7232267 .005923823 1 1978 .03856087 -.03159031 -.003776513 1 1979 -.033974648 1.6892276 .000064082444 1 1980 -.03340912 .3562208 .003573708 1 1981 -.029852867 .22335 .0005264431 1 1982 .010718346 .55891395 -.0008517876 1 1983 -.025982857 .3025955 .0005473718 1 1984 -.09177828 .2845615 .001306817 1 1985 .06215334 -.57471985 -.0015678406 1 1986 .035816193 -.04727695 .0022074506 1 1987 .01995754 -2.0891473 .0035996065 1 1988 -.051548 -.8556552 .003797956 1 1989 -.08002138 2.5997005 -.00005368143 1 1990 .04825544 -.7621235 -.0037634596 1 1991 .014944077 .8977495 -.004395187 1 1992 .020612717 .9866562 -.005773418 1 1993 .02478409 .05130513 .00046010315 1 1994 -.012306213 .1040608 .00382334 1 1995 .04091835 -.889446 -.0021086782 1 1996 .0079956055 .5504242 -.0032310635 1 1997 .014033318 .14474016 -.0015993714 1 1998 .029364586 -1.4123623 .004682116 1 1999 -.013619423 -.7077209 .00665576 1 2000 -.04242325 1.7975198 -.0001920089 1 2001 -.064777374 .4461319 .007865772 1 2002 .05957603 -.9268353 -.001951866 1 2003 .07559109 -1.3884256 .00006687641 1 2004 .02943516 .53251714 -.005813979 1 2005 .04256248 .10701164 -.003355786 1 2006 .08056164 -1.0392638 -.0004028007 1 2007 .02333355 .4650531 -.0015919358 1 2008 -.07792091 1.7649453 -.000819169 1 2009 .07104397 .3953756 -.003054425 1 2010 .036629677 .19075124 -.0014053434 1 2011 .005539894 -.5361876 .00164406 1 2012 .017653465 .006848871 .00021656603 1 2013 -.02623844 .9186995 .0021337345 1 2014 .01380539 -1.0696038 -.0012462884 1 2015 -.014710426 .5231693 .0019309297 1 2016 -.024267197 1.1013072 -.0033791065 1 2017 -.04940796 -.1671047 .0008261427 1 2018 -.03939629 -.0826373 .0004553869 1 2019 -.12809563 . . 1 2020 . . . 2 1970 .03735685 -3.583941 . 2 1971 .006715775 -3.595976 . 2 1972 .0723815 1.0047908 . 2 1973 -.013946533 -2.443425 . 2 1974 .06486988 -5.076143 .0021264479 2 1975 .06060696 1.480327 -.0028430596 2 1976 .15053034 -.9558575 .017706402 2 1977 .05724525 -5.38981 -.004387319 2 1978 .2042713 1.2600955 .011719197 2 1979 .064723015 2.294343 -.007564358 2 1980 .0004091263 -4.1512866 .00523252 2 1981 -.010876656 -1.286386 .0008103475 2 1982 -.08180618 -.2205604 -.015049823 2 1983 .02359295 .52316314 .00834471 2 1984 -.05776501 -.6478212 -.005634196 2 1985 .281785 -.4750064 .02013827 2 1986 .062625885 -5.436717 -.005898573 2 1987 .008115768 .7065676 -.003384814 2 1988 .05866051 -1.0042635 .006946467 2 1989 -.02052593 .9601043 .0005567968 2 1990 -.0022001266 -.832518 .016187295 2 1991 -.12391949 -1.431724 -.02331887 2 1992 -.013767242 -1.408625 .002412543 2 1993 .1101904 1.988639 .008190632 2 1994 .034041405 -1.8642867 .006239846 2 1995 .0448246 .2397784 .0004650354 2 1996 .12469387 -.6353271 .007994488 2 1997 -.02123642 .59386986 -.0091282725 2 1998 .05735397 -2.49613 .0045640916 2 1999 .04701233 2.706013 .00487949 2 2000 -.04536247 -1.0512298 -.005044684 2 2001 -.015072823 .05328191 -.0028871745 2 2002 .0005598068 -.10914221 -.0025393665 2 2003 .012296677 -.2341628 -.00010548532 2 2004 .017718315 .7751106 -.003184572 2 2005 .008773804 -1.2377497 -.007161543 2 2006 .010412216 .3962357 -.00034835935 2 2007 .15820885 -.927561 .01863219 2 2008 -.035902023 .4229553 .0033046156 2 2009 -.07738018 -.8142483 -.008181274 2 2010 .0507679 -.3567042 .007837012 2 2011 -.06547451 -.08397305 -.008323476 2 2012 .010436058 -1.083137 .0025542825 2 2013 -.09462738 .20679207 -.014072418 2 2014 -.010979652 -1.1899234 -.004809044 2 2015 -.06432438 .5234437 -.009212226 2 2016 .026329994 .5948993 .004054792 2 2017 .01234913 .7516962 .0006327629 2 2018 end label values pais pais label def pais 1 "Argentina", modify label def pais 2 "Barbados", modify
I have to compare results when:
- country and year fixed effects are omitted
- year fixed effects are omitted and country effects are added
- year fixed effects and country effects are added
Case 1. country and year fixed effects are omitted
Code:
. reg ln_co2pc_gr l.ln_co2pc res_share_ch ei_ch Source | SS df MS Number of obs = 1,173 -------------+---------------------------------- F(3, 1169) = 204.16 Model | 4.37886025 3 1.45962008 Prob > F = 0.0000 Residual | 8.35748358 1,169 .007149259 R-squared = 0.3438 -------------+---------------------------------- Adj R-squared = 0.3421 Total | 12.7363438 1,172 .010867188 Root MSE = .08455 ------------------------------------------------------------------------------ ln_co2pc_gr | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- ln_co2pc | L1. | -.0050447 .0027289 -1.85 0.065 -.0103987 .0003094 | res_share_ch | -.0207655 .0009512 -21.83 0.000 -.0226317 -.0188993 ei_ch | 2.793124 .2764864 10.10 0.000 2.250659 3.335589 _cons | .048808 .0200982 2.43 0.015 .0093755 .0882406 ------------------------------------------------------------------------------
Code:
. xtabond ln_co2pc_gr ln_gdppc_gr ei_ch res_share_ch, noconst Arellano–Bond dynamic panel-data estimation Number of obs = 1,126 Group variable: pais Number of groups = 25 Time variable: year Obs per group: min = 17 avg = 45.04 max = 47 Number of instruments = 862 Wald chi2(4) = 968.45 Prob > chi2 = 0.0000 One-step results ------------------------------------------------------------------------------ ln_co2pc_gr | Coefficient Std. err. z P>|z| [95% conf. interval] -------------+---------------------------------------------------------------- ln_co2pc_gr | L1. | -.1543293 .0217159 -7.11 0.000 -.1968917 -.1117669 | ln_gdppc_gr | 1.141223 .0654731 17.43 0.000 1.012898 1.269548 ei_ch | 3.959746 .279658 14.16 0.000 3.411626 4.507865 res_share_ch | -.0172658 .0009338 -18.49 0.000 -.019096 -.0154355 ------------------------------------------------------------------------------ Instruments for differenced equation GMM-type: L(2/.).ln_co2pc_gr Standard: D.ln_gdppc_gr D.ei_ch D.res_share_ch
Code:
. xtabond ln_co2pc_gr ln_gdppc_gr ei_ch res_share_ch yr*, noconst note: yr1 omitted from div() because of collinearity. note: yr2 omitted from div() because of collinearity. note: yr51 omitted from div() because of collinearity. note: yr1 omitted because of collinearity. note: yr2 omitted because of collinearity. note: yr51 omitted because of collinearity. Arellano–Bond dynamic panel-data estimation Number of obs = 1,126 Group variable: pais Number of groups = 25 Time variable: year Obs per group: min = 17 avg = 45.04 max = 47 Number of instruments = 885 Wald chi2(51) = 1077.88 Prob > chi2 = 0.0000 One-step results ------------------------------------------------------------------------------ ln_co2pc_gr | Coefficient Std. err. z P>|z| [95% conf. interval] -------------+---------------------------------------------------------------- ln_co2pc_gr | L1. | -.1699338 .0221739 -7.66 0.000 -.2133939 -.1264737 | ln_gdppc_gr | 1.189569 .0714606 16.65 0.000 1.049509 1.329629 ei_ch | 3.926077 .2800375 14.02 0.000 3.377213 4.47494 res_share_ch | -.0164984 .0009514 -17.34 0.000 -.0183632 -.0146337 yr3 | .0086196 .0232371 0.37 0.711 -.0369241 .0541634 yr4 | 0 (omitted) yr5 | -.0095069 .023281 -0.41 0.683 -.0551368 .0361231 yr6 | .0047888 .0233236 0.21 0.837 -.0409246 .0505023 yr7 | .0116231 .0232843 0.50 0.618 -.0340132 .0572594 yr8 | .0150959 .0232158 0.65 0.516 -.0304061 .060598 yr9 | .0164546 .0232008 0.71 0.478 -.0290182 .0619273 yr10 | -.0110719 .0232537 -0.48 0.634 -.0566484 .0345045 yr11 | -.0092358 .023345 -0.40 0.692 -.0549912 .0365195 yr12 | -.0186959 .0233934 -0.80 0.424 -.0645461 .0271544 yr13 | .0080493 .0237823 0.34 0.735 -.0385631 .0546618 yr14 | .0179798 .0237258 0.76 0.449 -.0285219 .0644814 yr15 | -.0115345 .0234152 -0.49 0.622 -.0574275 .0343585 yr16 | -.0263228 .0233368 -1.13 0.259 -.072062 .0194165 yr17 | .0019019 .023264 0.08 0.935 -.0436948 .0474985 yr18 | -.0038237 .0231897 -0.16 0.869 -.0492747 .0416273 yr19 | .0215469 .0233356 0.92 0.356 -.0241901 .0672838 yr20 | .0036934 .0232789 0.16 0.874 -.0419324 .0493193 yr21 | .0050649 .0233687 0.22 0.828 -.0407368 .0508667 yr22 | -.0160545 .0232246 -0.69 0.489 -.0615739 .0294649 yr23 | .0200222 .0231971 0.86 0.388 -.0254433 .0654878 yr24 | .0051773 .0232444 0.22 0.824 -.0403809 .0507356 yr25 | -.0364671 .023216 -1.57 0.116 -.0819697 .0090355 yr26 | .0629364 .0231853 2.71 0.007 .017494 .1083787 yr27 | .0028832 .0232247 0.12 0.901 -.0426364 .0484029 yr28 | .0017144 .0231843 0.07 0.941 -.043726 .0471548 yr29 | .0132832 .0231714 0.57 0.566 -.0321318 .0586983 yr30 | .004425 .0232676 0.19 0.849 -.0411787 .0500287 yr31 | -.0367104 .0232841 -1.58 0.115 -.0823463 .0089256 yr32 | -.011032 .0233507 -0.47 0.637 -.0567986 .0347345 yr33 | .0140877 .0230807 0.61 0.542 -.0311496 .0593251 yr34 | -.0057824 .023058 -0.25 0.802 -.0509753 .0394105 yr35 | .0041397 .023038 0.18 0.857 -.0410139 .0492933 yr36 | -.0405128 .0230048 -1.76 0.078 -.0856013 .0045758 yr37 | -.0030994 .0230534 -0.13 0.893 -.0482832 .0420844 yr38 | .0040511 .0230197 0.18 0.860 -.0410668 .0491689 yr39 | .0035858 .0230256 0.16 0.876 -.0415436 .0487152 yr40 | .0079728 .0231945 0.34 0.731 -.0374876 .0534333 yr41 | -.0181299 .0233019 -0.78 0.437 -.0638007 .0275409 yr42 | -.0152946 .0232321 -0.66 0.510 -.0608287 .0302395 yr43 | .0048455 .0232524 0.21 0.835 -.0407284 .0504195 yr44 | -.025654 .0232216 -1.10 0.269 -.0711674 .0198595 yr45 | -.0201522 .0232677 -0.87 0.386 -.0657562 .0254517 yr46 | .0215768 .023257 0.93 0.354 -.0240061 .0671597 yr47 | -.0027177 .023233 -0.12 0.907 -.0482534 .0428181 yr48 | -.0274366 .0232932 -1.18 0.239 -.0730905 .0182172 yr49 | -.0159166 .0232996 -0.68 0.495 -.0615831 .0297498 yr50 | .012279 .0232845 0.53 0.598 -.0333577 .0579157 ------------------------------------------------------------------------------ Instruments for differenced equation GMM-type: L(2/.).ln_co2pc_gr Standard: D.ln_gdppc_gr D.ei_ch D.res_share_ch D.yr3 D.yr4 D.yr5 D.yr6 D.yr7 D.yr8 D.yr9 D.yr10 D.yr11 D.yr12 D.yr13 D.yr14 D.yr15 D.yr16 D.yr17 D.yr18 D.yr19 D.yr20 D.yr21 D.yr22 D.yr23 D.yr24 D.yr25 D.yr26 D.yr27 D.yr28 D.yr29 D.yr30 D.yr31 D.yr32 D.yr33 D.yr34 D.yr35 D.yr36 D.yr37 D.yr38 D.yr39 D.yr40 D.yr41 D.yr42 D.yr43 D.yr44 D.yr45 D.yr46 D.yr47 D.yr48 D.yr49 D.yr50
Or I should use PVAR o Panel ARDL because is long panel?
Thanks in advance,
Sebastian.
0 Response to Long Panel: I use AB but It is better PVAR or panel ARDL?
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