What Works / Edition 1 by Kenneth Meier, Jeff Gill | | 9780813397825 | Hardcover | Barnes & Noble
What Works / Edition 1

What Works / Edition 1

by Kenneth Meier, Jeff Gill
     
 

ISBN-10: 0813397820

ISBN-13: 9780813397825

Pub. Date: 04/01/2000

Publisher: Westview Press


What Works is a concise methods text that represents a new approach for policy program analysis. The authors, Meier and Gill, combine statistics with normative concerns. They consider how things might be, and they focus on subsets of cases that differ from the norm. Their approach uses regression and methods in a qualitative, yet rigorous manner.In What

Overview


What Works is a concise methods text that represents a new approach for policy program analysis. The authors, Meier and Gill, combine statistics with normative concerns. They consider how things might be, and they focus on subsets of cases that differ from the norm. Their approach uses regression and methods in a qualitative, yet rigorous manner.In What Works, the authors address questions such as the following: why do some agencies learn to perform missions faster than others? What factors influence this learning? In which states do criminal justice policies based on deterrence work? What do excellent school districts do differently from those that are simply better than average? Why do some firms comply with public policy quickly while others wait?The case examples the authors employ and evaluate are especially helpful. What Works will appeal to anyone seriously interested in policy analysis, and in learning about--and understanding--new approaches for policy program analysis.

Product Details

ISBN-13:
9780813397825
Publisher:
Westview Press
Publication date:
04/01/2000
Edition description:
New Edition
Pages:
172
Product dimensions:
6.00(w) x 9.00(h) x (d)
Lexile:
1350L (what's this?)

Table of Contents

Prefacexi
1Zen and the Art of Policy Analysis: Substantively Weighted Analytical Techniques1
1.1Introduction1
1.2Sciences of the Artificial2
1.3A Graphical Overview3
1.4Heterogeneity Is Good5
1.5The Zen of Weighting7
1.6Why Not Just Run Separate Regressions?8
1.7Don't Throw Away Your Other Tools10
1.8When Not to Use SWAT10
1.8.1Case 1: No Residual Variation11
1.8.2Case 2: When There Is a Clear Break Between Two Sets of Programs11
1.8.3Case 3: An Incorrect Functional Form12
1.9Plan of the Book13
1.10Discussion14
1.11References14
2An Introduction to Substantively Weighted Least Squares17
2.1Introduction17
2.2Child Support Enforcement18
2.3The Original Study19
2.4Regression Diagnostics21
2.5Robust and Resistant Regression24
2.6SWLS27
2.7Some Caveats34
2.8SWAT Versus Best Practices34
2.9SWAT Versus L-Regression: A Methodological Interlude35
2.10But So What?36
2.11Addendum: Data Description37
2.12References38
3The Theory and Application of Generalized Substantively Reweighted Least Squares41
3.1Introduction41
3.2Distribution of the Jackknifed Residuals43
3.3Relationship to the F Distribution45
3.4Five Assumptions and a Warning47
3.5Using the GSRLS Procedure48
3.6A Simple Example50
3.7SWAT Versus the Chow Test55
3.8Discussion56
3.9Addendum: Splus/R Code for SWAT57
3.10References58
4Substantively Weighted Analytical Techniques for Successes and Failures: Swls and Gsrls59
4.1Introduction59
4.2The Dataset61
4.2.1The Outcome Variable61
4.2.2The Explanatory Variables61
4.3SWLS Findings64
4.4GSRLS Results71
4.5Differences Between SWLS and GSRLS71
4.6Discussion78
4.7References78
5Separating Excellent Agencies from the Good Ones: Pushing the Extremes of the Data Distribution83
5.1Introduction83
5.2An Education Production Function85
5.3Linear Model Findings85
5.4The Pretty Good Agencies86
5.5The Super Agencies89
5.6Lucky or Good?90
5.7What the Super Agencies Do Differently92
5.8Extensions96
5.9Discussion97
5.10References97
6Weighting with an Exogenous Variable or with Two Exogenous Variables: Equity Versus Excellence in Organizations99
6.1Introduction99
6.2The Theoretical Setting for the Study100
6.3Educational Performance101
6.3.1The Outcome Variable102
6.3.2Explanatory Variables103
6.4Substantively Weighted Least Squares104
6.5Findings104
6.6Weighting in Two Dimensions112
6.7Two-Dimensional Weights: An Illustration113
6.8Discussion115
6.9References116
7Swat in Pooled Analysis119
7.1Introduction119
7.2Zen and the Art of Pooling120
7.3The Full--and Then Some--Prison Blues123
7.4Looking at the Data125
7.5Applying SWAT to the Data127
7.5.1A Note of Caution130
7.5.2The Winners: The Low Crime States131
7.5.3The Losers: High Crime States134
7.6Path Dependence138
7.7A Second Example: Educational Performance138
7.8Discussion143
7.9Addendum: Data Description143
7.10References145
8The Zen and the Practice: Some Final Remarks147
8.1Overview147
8.2The Secret Life of Residuals148
8.3Weighting the Artificial149
8.4Hypotheses150
8.5If I Had a Hammer151
8.6The Final Word152
8.7References153
Index155

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