Ignorance Is Bias: The Effect of Latino Losers on Models of Latino Representation

Nearly every aggregate study of minority legislative representation has observed outcomes of elections (officeholders), rather than the supply of minority candidates. Because of this, scholars have left a large amount of important data, the election losers, out of their models of minority representation. The evidence presented in this article demonstrates that voters in the United States cannot choose minority officeholders because there are rarely minority candidates on the ballot. I use state legislative candidate data from Carsey et al. () and Klarner et al. () to test models of Latino representation that correct for first‐stage selection bias. Once candidate self‐selection is taken into account, the probability of electing a Latino increases enormously. I then use data from 2010 to make out‐of‐sample predictions, which clearly favor the conditional model. Thus, our current understanding of Latino representation is significantly biased by ignoring the first stage of an election, a candidate's decision to run.