Identification for Prediction and Decision /

Identification for Prediction and Decision / / Charles F. Manski.

This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles F. Manski draws on examples from criminology, demography, epidemiology, social psychology,...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter HUP eBook Package Archive 1893-1999
VerfasserIn:
Manski, Charles F.,
Place / Publishing House:Cambridge, MA : : Harvard University Press, , [2009]
©2008
Year of Publication:2009
Language:English
Online Access:
Physical Description:1 online resource (368 p.)
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Introduction
  • I. Prediction with Incomplete Data
  • 1. Conditional Prediction
  • 2.Missing Outcomes
  • 3. Instrumental Variables
  • 4. Parametric Prediction
  • 5. Decomposition of Mixtures
  • 6. Response-Based Sampling
  • II. Analysis of Treatment Response
  • 7. The Selection Problem
  • 8. Linear Simultaneous Equations
  • 9. Monotone Treatment Response
  • 10. The Mixing Problem
  • 11. Planning under Ambiguity
  • 12. Planning with Sample Data
  • III. Predicting Choice Behavior
  • 13. Revealed Preference Analysis
  • 14. Measuring Expectations
  • 15. Studying Human Decision Processes
  • References
  • Author Index
  • Subject Index

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