Hi Everyone,
I hope someone might be able to help as I am sitting already quite some time over this problem.
So, here is the issue:
I am using the esttab environment to create tables for the latex environment.
I run a simple estimation for data from a lab experiment and I want to show that treatment effects (Inf, Opt, InfOpt) do not differ signifiantly when subjects play the game in a second round, so I split the sample by Round1 and Round2.
I can test this by hand (see below), but I would like to show this within the table, basically add a third column that shows the differences of the coefficients and the standard errors and highlights the insignificance. (the code so far shows just the results for the two estimations)
I tried to create a vector to add it through estadd but this did not work.
I am sure there must be a much easier and succesful way then the approach I took.
Could someone help me?
Thanks!
I hope someone might be able to help as I am sitting already quite some time over this problem.
So, here is the issue:
I am using the esttab environment to create tables for the latex environment.
I run a simple estimation for data from a lab experiment and I want to show that treatment effects (Inf, Opt, InfOpt) do not differ signifiantly when subjects play the game in a second round, so I split the sample by Round1 and Round2.
I can test this by hand (see below), but I would like to show this within the table, basically add a third column that shows the differences of the coefficients and the standard errors and highlights the insignificance. (the code so far shows just the results for the two estimations)
I tried to create a vector to add it through estadd but this did not work.
I am sure there must be a much easier and succesful way then the approach I took.
Could someone help me?
Thanks!
Code:
eststo clear eststo: reg TransferG1 Inf Opt InfOpt if Round2==0, vce(cluster Phumid) **for ttest** local obs1=e(N) matrix regb = e(b) matrix regV = e(V) local c "Inf Opt InfOpt theta" local tot: word count `c' forvalues i=1/`tot'{ local a: word `i' of `c' local b1_`a' =regb[1,`i'] local v1_`a' =regV[`i',`i'] local stdev1_`a'= sqrt(`v1_`a'')*sqrt(`obs1') } eststo: reg TransferG2 Inf Opt InfOpt if Round2==1, vce(cluster Phumid) **for ttest** local obs2=e(N) matrix regb = e(b) matrix regV = e(V) local c "Inf Opt InfOpt theta" local tot: word count `c' forvalues i=1/`tot'{ local a: word `i' of `c' local b2_`a' =regb[1,`i'] local v2_`a' =regV[`i',`i'] local stdev2_`a'= sqrt(`v2_`a'')*sqrt(`obs2') } **ttest** qui:ttesti `obs1' `b1_Inf' `stdev1_Inf' `obs2' `b2_Inf' `stdev2_Inf' qui:ttesti `obs1' `b1_Opt' `stdev1_Opt' `obs2' `b2_Opt' `stdev2_Opt' qui:ttesti `obs1' `b1_InfOpt' `stdev1_InfOpt' `obs2' `b2_InfOpt' `stdev2_InfOpt' qui:ttesti `obs1' `b1_theta' `stdev1_theta' `obs2' `b2_theta' `stdev2_theta' esttab using "panel_reg_ols_split_game$output", b(3) se(3) scalars(r2 F ) nogaps coeflabels(_cons "Baseline ($\tilde{\theta}$)") /// nonote label ti("Split Samples by Round: Transfer Differences - OLS"\label{tab:panelregolssplit}) /// star(* 0.10 ** 0.05 *** 0.01) /// addn("Pooled OLS estimators; s.e. in paranthesis, clustered on individual level" "{\tiny (1) Transfer decisions in Round 1" "(2) Transfer decisions in Round 2;") replace