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Regression Models: Censored, Sample Selected, or Truncated Data (Quantitative Applications in the Social Sciences)
 
 
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Regression Models: Censored, Sample Selected, or Truncated Data (Quantitative Applications in the Social Sciences) [Paperback]

Richard Breen (Author)

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Book Description

0803957106 978-0803957107 January 9, 1996 1

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.


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About the Author

I am an Official Fellow of Nuffield College, Oxford. Between 1997 and 2001 I was Professor of Sociology at the European University Institute, Florence, where my Chair was called ‘ Social Stratification and Inequality’. Before going to Florence I was Professor of Sociology at Queen’s University, Belfast, and, before that, I worked at the Economic and Social Research Institute in Dublin. I am a Fellow of the British Academy, a Member of the Royal Irish Academy and a member of Academia Europaea. I serve as a member of the Scientific Committee of the Centro de Estudios Avanzados en Ciencias Sociales, Juan March Institute, Madrid and on the Scientific Advisory Board of the Mannheimer Zentrum für Europäische Sozialforschung.

My research interests are social stratification and inequality, and the application of formal models in the social sciences.

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Inside This Book (learn more)
First Sentence:
Consider the following problem. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
truncated regression model, censoring threshold, censored regression model, outcome equation, sample selection model, moment residuals, uncensored observations, selection equation, bivariate normality, probit equation, truncated data, selectivity bias
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