Data: pooled cross-sectional data. 6 countries. 3 years of cross sectional data (10 year gaps in between), with different samples of individuals in each year. The data are from three periods: 'before', 'during', and 'after' a shock.
Response: relative rainforest area
Main predictor: profits...
Data: pooled cross-sectional data. 6 countries. 3 years of cross sectional data (10 year gaps in between), with different samples of individuals in each year. The data are from three periods: 'before', 'during', and 'after' a shock.
Response: relative rainforest area
Main predictor: profits...
1) Does it make sense to use a fixed effects model on cross sectional data (note, not time-series cross sectional data) if the goal is to account for observed and unobserved heterogeneity among clusters?
2) Would the resulting coefficients have the same interpretation as in the usual fixed...
I'm unsure how to interpret the output of a fixed effects (in the econometric sense) logistic regression model using cross-sectional data. I'm struggling with the 'cluster-specific' interpretation these models have. I sort of understand how this works with panel data, but I'm not sure whether...