I am following the work of Acemolug, Restrepo(2020). Trying to figure out the effect of adopting robot to labor market variables..
Main dependent variable is increase in real wage, and explanatory variable is index of adopting Robot called APR
I ran Panel IV with fixed effect(industry, time). I also added year dummy, and control variables like ratio of female workers
My problem is that when I include control variables like female rato, STATA shows me some unplausbly large Wald Chi2 Statistics...like 58903.17
Can this result simply be interpreted as the high goodness- of- fitness of this model? or is that related to lack of observations or so??
I attach the code i used and result of baseline Model and model of including control variable
Code:
xtivreg delta_wage (KoreanAPR = APR_WestEurope) i.year if year >= 2005, fe vce(robust)
xtivreg delta_wage (KoreanAPR = APR_WestEurope) i.year delta_female if year >= 2005, fe vce(robust) Array
Array
Related Posts with Too Large Wald chi2 Statistics
-order(c.(A C B)#c.X) option does not work with esttab?Dear all, I use the following commands to make a table: eststo: reg Y c.(A B C)#c.X esttab, order(…
twoway line - point connectionI trying to produce a twoway line graph that connects each point with a straight line. I'm getting a…
Help exporting to excelHi everyone, I am previously an R-user and finding the functionality of STATA frustrating. I want to…
Pooled cross sectional regression analysisHi all, I have a dataset that looks like Code: * Example generated by -dataex-. To install: ssc …
'pvarirf' and 'pvarfevd' invalid in 'pvar' packageHello, I use the 'pvar' command to test the Pecking Order Theory for natural resource firms. It wor…
Subscribe to:
Post Comments (Atom)
0 Response to Too Large Wald chi2 Statistics
Post a Comment