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    Interpreting coefficients in pooled cross-sectional data with cluster-dummies

    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...
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    Interpreting coefficients in pooled cross-sectional data with cluster-dummies

    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...
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    Can fixed effects models be used on cross sectional data?

    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...
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    Logistic fixed effects cluster-specific interpretation with cross-sectional data

    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...