Hi Jeff,
Thanks for the clarification on logs. Regarding the interaction, part of my study is to determine whether the relationship between ESG and the cost of capital matters more for companies domiciled in countries with stronger or weaker legal environments, hence the interaction. I plan on conducting a separate regression with just ESG.
For the xtreg, my results are insignificant. I have explored multicollinearity and dropped some variables. I am new to Stata and have done extensive searching, but I cant figure out the issue - I am using the same variables as literature on the topic which consistently reports significance ( I am using a different dataset although).
Thanks for the clarification on logs. Regarding the interaction, part of my study is to determine whether the relationship between ESG and the cost of capital matters more for companies domiciled in countries with stronger or weaker legal environments, hence the interaction. I plan on conducting a separate regression with just ESG.
For the xtreg, my results are insignificant. I have explored multicollinearity and dropped some variables. I am new to Stata and have done extensive searching, but I cant figure out the issue - I am using the same variables as literature on the topic which consistently reports significance ( I am using a different dataset although).
Code:
xtreg WACC i.LEGAL#c.ESG TQ ASG CUR LEV ROA BT INFL ln_SIZE i.Q_DATE, fe vce(cluster ID) Fixed-effects (within) regression Number of obs = 1,019 Group variable: ID Number of groups = 51 R-squared: Obs per group: Within = 0.2217 min = 19 Between = 0.0581 avg = 20.0 Overall = 0.1204 max = 20 F(29, 50) = 17.02 corr(u_i, Xb) = -0.4157 Prob > F = 0.0000 (Std. err. adjusted for 51 clusters in ID) ------------------------------------------------------------------------------ | Robust WACC | Coefficient std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- LEGAL#c.ESG | 0 | .117814 .0772885 1.52 0.134 -.0374245 .2730525 1 | .0234984 .0592518 0.40 0.693 -.0955122 .1425091 | TQ | .1236057 .1094523 1.13 0.264 -.0962357 .3434471 ASG | -.0031606 .0021316 -1.48 0.144 -.0074421 .0011208 CUR | -.6016558 .6505541 -0.92 0.359 -1.908332 .7050205 LEV | -.2120949 .1508573 -1.41 0.166 -.5151007 .0909108 ROA | -.0882799 .0925487 -0.95 0.345 -.2741694 .0976096 BT | 1.324192 .7911091 1.67 0.100 -.2647978 2.913181 INFL | -.0378087 .0685163 -0.55 0.584 -.1754277 .0998103 ln_SIZE | -.3366782 1.212594 -0.28 0.782 -2.772245 2.098888 | Q_DATE | 233 | -.2643647 .6454358 -0.41 0.684 -1.560761 1.032031 234 | -.3462174 .3578227 -0.97 0.338 -1.064925 .3724906 235 | -.0527402 .6747097 -0.08 0.938 -1.407934 1.302454 236 | -1.263111 .3236721 -3.90 0.000 -1.913226 -.6129967 237 | -.9502819 .41123 -2.31 0.025 -1.776262 -.1243022 238 | -.7070823 .4532081 -1.56 0.125 -1.617378 .2032129 239 | -.5344184 .4771554 -1.12 0.268 -1.492813 .4239764 240 | -1.258724 .5301932 -2.37 0.021 -2.323648 -.1937994 241 | 1.133952 1.014136 1.12 0.269 -.9029992 3.170903 242 | 1.815448 1.08304 1.68 0.100 -.3599018 3.990797 243 | -.4841026 .7798078 -0.62 0.538 -2.050393 1.082187 244 | 1.815126 1.015715 1.79 0.080 -.2249989 3.85525 245 | 4.859438 1.413294 3.44 0.001 2.020754 7.698121 246 | 2.378434 1.157898 2.05 0.045 .0527283 4.70414 247 | 2.454008 1.238441 1.98 0.053 -.0334741 4.94149 248 | 2.010818 1.379193 1.46 0.151 -.7593731 4.781009 249 | 2.960136 2.111618 1.40 0.167 -1.281173 7.201445 250 | 2.882623 2.172732 1.33 0.191 -1.481438 7.246683 251 | 3.31179 2.481841 1.33 0.188 -1.673133 8.296714 | _cons | 14.9167 12.35549 1.21 0.233 -9.900025 39.73342 -------------+---------------------------------------------------------------- sigma_u | 3.7941641 sigma_e | 4.2754813 rho | .44056605 (fraction of variance due to u_i) ------------------------------------------------------------------------------ . margins LEGAL,dydx(ESG) Average marginal effects Number of obs = 1,019 Model VCE: Robust Expression: Linear prediction, predict() dy/dx wrt: ESG ------------------------------------------------------------------------------ | Delta-method | dy/dx std. err. z P>|z| [95% conf. interval] -------------+---------------------------------------------------------------- ESG | LEGAL | 0 | .117814 .0772885 1.52 0.127 -.0336686 .2692966 1 | .0234984 .0592518 0.40 0.692 -.0926329 .1396298 ------------------------------------------------------------------------------
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