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) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as …
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Misclassification of a binary response variable and nonrandom sample selection are data issues frequently encountered by empirical researchers. For cases in which both issues feature simultaneously in a data set, we formulate a sample selection model for a misclassified binary outcome in which...
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We develop a parametrization of the multinomial probit model that yields greater insight into the underlying decision …
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models with a conditional median restriction and parametric models (such as Logit/Probit) exhibiting (multiplicative … panel data with fixed effects. The estimation procedure is based on the observational equivalence between distribution free …
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