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Item specifics

Condition
Very Good: A book that has been read and does not look new, but is in excellent condition. No ...
Book Title
Propensity Score Analysis: Statistical Methods and Application...
ISBN
1412953561
EAN
9781412953566
Release Title
Propensity Score Analysis: Statistical Methods and Application...
Artist
Fraser, Mark W.
Brand
N/A
Colour
N/A

About this product

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412953561
ISBN-13
9781412953566
eBay Product ID (ePID)
72506655

Product Key Features

Number of Pages
392 Pages
Publication Name
Propensity Score Analysis : Statistical Methods and Applications
Language
English
Subject
Probability & Statistics / Regression Analysis, Sociology / General, General, Econometrics, Statistics
Publication Year
2009
Type
Textbook
Subject Area
Mathematics, Social Science, Science, Business & Economics
Author
Mark W. Fraser, Shenyang Guo
Series
Advanced Quantitative Techniques in the Social Sciences Ser.
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
22 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
College Audience
LCCN
2009-012335
Reviews
The approach the authors take in writing this book is very effective for novices and experiences users...This balance between the practical and applied approach is a useful model for researchers to understand the process and interpretation of these analyses...[it] goes a long way in making propensity score analysis techniques more accessible, understandable, and useful to psychologists., Guo and Fraser'e(tm)s book Propensity Score Analysis: Statistical Methods and Applications is the first comprehensive book that discusses and compares different PS techniques from theoretical and practical points of view. One of the book'e(tm)s strengths is its focus on the application of PS to real data. [T]his textbook gives a good introduction to PS matching techniques and some alternative approaches for estimating causal treatment effects. With its many examples in Stata, it may be useful for graduate students and applied researchers who have no or limited experience with PS methods but are familiar with basic regression methods and mathematical/statistical notation., Guo and Fraser's book Propensity Score Analysis: Statistical Methods and Applications is the first comprehensive book that discusses and compares different PS techniques from theoretical and practical points of view. One of the book's strengths is its focus on the application of PS to real data. [T]his textbook gives a good introduction to PS matching techniques and some alternative approaches for estimating causal treatment effects. With its many examples in Stata, it may be useful for graduate students and applied researchers who have no or limited experience with PS methods but are familiar with basic regression methods and mathematical/statistical notation., Guo and Frasere(tm)s book Propensity Score Analysis: Statistical Methods and Applications is the first comprehensive book that discusses and compares different PS techniques from theoretical and practical points of view. One of the booke(tm)s strengths is its focus on the application of PS to real data. [T]his textbook gives a good introduction to PS matching techniques and some alternative approaches for estimating causal treatment effects. With its many examples in Stata, it may be useful for graduate students and applied researchers who have no or limited experience with PS methods but are familiar with basic regression methods and mathematical/statistical notation.
Dewey Edition
22
Series Volume Number
12
Illustrated
Yes
Dewey Decimal
519.5/3
Synopsis
Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to, strategies for employing, and the limitations of PSA. Unlike the existing textbooks on program evaluation, Propensity Score Analysis delves into statistical concepts, formulas, and models underlying the application.   Key Features Presents key information on model derivations  Summarizes complex statistical arguments but omits their proofs Links each method found in this book to specific Stata programs and provides empirical examples  Guides readers using two conceptual frameworks: the Neyman-Rubin counterfactual framework and the Heckman econometric model of causality  Contains examples representing real challenges commonly found in social behavioral research  Utilizes data simulation and Monte Carlo studies to illustrate key points  Presents descriptions of new statistical approaches necessary for understanding the four evaluation methods incorporated throughout the text Intended Audience   This text is appropriate for graduate and doctoral students taking Evaluation, Quantitative Methods, Survey Research, and Research Design courses across business, social work, public policy, psychology, sociology, and health/medicine disciplines., Propensity Score Analysis offers a systematic review of the origins, history & statistical foundations of PSM & illustrates how to use PSM methods for solving evaluation problems.
LC Classification Number
HA29.G91775 2010

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