Regression Models: Censored, Sample Selected, or Truncated Data


What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data. Richard Breen begins with a discussion of Tobin’s Tobit model and examines issues such as maximum-likelihood estimation and the interpretation of parameters. He then discus… More >>

Regression Models: Censored, Sample Selected, or Truncated Data

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