Firms and Markets Seminar   Abstract: We propose confidence intervals for the coefficients in a linear regression model that are valid with i.i.d observations for every sample size larger than two. We do not resort to the assumption that the errors are normally distributed to get our result. Our construction only requires moment restrictions on […]