Hello,
I have panel data spanning 31 countries from 1990 to 2018, encompassing 29 years. My goal is to explore how independent variables influence the dependent variable across different quantiles. I intend to incorporate fixed effects for both years and countries to account for time and country-specific factors. My initial command for conducting quantile regression is as follows: xtqreg manEMP lnPop lnPop_sq lngdppc lngdppc_sq lnfdi i.year i.cnt, q(0.25 0.5 0.75)
However, the results are puzzling, prompting me to question if I may be overlooking something or if fixed effects are not applicable in this context. Additionally, I seek guidance on addressing heteroskedasticity within the quantile regression framework while simultaneously incorporating fixed effects.
Could you kindly provide insights or suggest alternative approaches to address these concerns?
I have panel data spanning 31 countries from 1990 to 2018, encompassing 29 years. My goal is to explore how independent variables influence the dependent variable across different quantiles. I intend to incorporate fixed effects for both years and countries to account for time and country-specific factors. My initial command for conducting quantile regression is as follows: xtqreg manEMP lnPop lnPop_sq lngdppc lngdppc_sq lnfdi i.year i.cnt, q(0.25 0.5 0.75)
However, the results are puzzling, prompting me to question if I may be overlooking something or if fixed effects are not applicable in this context. Additionally, I seek guidance on addressing heteroskedasticity within the quantile regression framework while simultaneously incorporating fixed effects.
Could you kindly provide insights or suggest alternative approaches to address these concerns?
