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in panel data regression we have two kinds of fixed effects one is the entity fixed effect which is constant over time but differs across entities and the second one is time fixed effect which is constant among entities but it differs among time periods we'll look into the entity fixed effect first so regressions with entity fixed effects it allows us to control for variables which do not vary across turn but varies across entities and this model has n different intercepts each for one for each entity which means that if if you have a model where the y hat one and a y hat two then the slope is the same the better one is the same but the intercept differs okay so this is y and this is x and these changes in an intercept can be represented by binary variables one for each entity and these binary variables and absorb all the influence which differs which is constant among anti over entities but no which differs among entities but is constant over time so if we have this regression model...