Propensity score analysis: statistical methods and applications

by Guo, Shenyang

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Title Statements

Full title :Propensity score analysis : statistical methods and applications / Shenyang Guo, Mark W. Fraser.

Summary

This text provides readers with a systematic review of the origins, history, and statistical foundations of propensity score analysis (PSA), and it Illustrates how PSA methods can be used for solving evaluation problems in the social and behavioral sciences. Emphasis Is placed on program evaluations with quasi-experimental designs or designs In which random assignment has been compromised. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to strategies for employing PSA. Unlike the many textbooks on program evaluation, this book delves Into statistical concepts, formulas, and models underlying real-world application where multiple methods are needed to estimate program effects. The book (1) presents key features on model derivations; (2) summarizes complex statistical arguments but omits their proofs; (3) links methods to specific Stata programs and provides empirical examples; (4) guides readers using two conceptual frameworks: the Neyman-Rubin counterfactual framework and the Heckman econometric model of causality; (5) utilizes data simulation and Monte Carlo studies to illustrate key points; (6) presents descriptions of new statistical approaches necessary for understanding the four evaluation methods incorporated throughout the text; and (7) reviews the debate and limitations of PSA. This text is appropriate for researchers in the field and graduate students taking Evaluation, Quantitative Methods, Survey Research, and Research Design courses across business, education, medicine, nursing, psychology, public health, public policy, social work, sociology; economics, and related disciplines in the social and health sciences.

Edition Statements

Publication Date:©2010.

Publication Statements

Publisher(s):SAGE Publications
Place of Publication:Thousand Oaks, CA
Language:eng
Publication Date:©2010.

The Physical Object

Description:xviii, 370 p. ; : 24 cm

Edition Identifiers

ISBN:9781412953566, 1412953561
oclc:ocn662367684
LC Classification:HA29
Dewey Decimal:519.53

Counterfactual framework and assumptions -- Conventional methods for data balancing -- Sample selection and related models -- Propensity score matching and related models -- Matching estimators -- Propensity score analysis with nonparametric regression -- Selection bias and sensitivity analysis -- Concluding remarks.

Subjects