Matched Sampling for Causal Effects

Matched Sampling for Causal Effects

This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now ...

Author: Donald B. Rubin

Publisher: Cambridge University Press

ISBN: 9781139458504

Category: Mathematics

Page:

View: 329

Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers.
Categories: Mathematics

The Oxford Handbook of Health Economics

The Oxford Handbook of Health Economics

“Using multivariate matched sampling and regression adjustment to control bias
in observational studies.” Journal of the American Statistical Association, 74: 318-
28. — (2006). Matched Sampling for Causal Effects. Cambridge: Cambridge ...

Author: Sherry Glied

Publisher: OUP Oxford

ISBN: 9780191667169

Category: Business & Economics

Page: 992

View: 691

The Oxford Handbook of Health Economics provides an accessible and authoritative guide to health economics, intended for scholars and students in the field, as well as those in adjacent disciplines including health policy and clinical medicine. The chapters stress the direct impact of health economics reasoning on policy and practice, offering readers an introduction to the potential reach of the discipline. Contributions come from internationally-recognized leaders in health economics and reflect the worldwide reach of the discipline. Authoritative, but non-technical, the chapters place great emphasis on the connections between theory and policy-making, and develop the contributions of health economics to problems arising in a variety of institutional contexts, from primary care to the operations of health insurers. The volume addresses policy concerns relevant to health systems in both developed and developing countries. It takes a broad perspective, with relevance to systems with single or multi-payer health insurance arrangements, and to those relying predominantly on user charges; contributions are also included that focus both on medical care and on non-medical factors that affect health. Each chapter provides a succinct summary of the current state of economic thinking in a given area, as well as the author's unique perspective on issues that remain open to debate. The volume presents a view of health economics as a vibrant and continually advancing field, highlighting ongoing challenges and pointing to new directions for further progress.
Categories: Business & Economics

Climbing Mount Laurel

Climbing Mount Laurel

Figure 9.2 summarizes the causal effect of ELH residence on selected
educational outcomes observed among adolescent children living in the Ethel
Lawrence Homes by attaching parameter estimates derived from the matched
sample ...

Author: Douglas S. Massey

Publisher: Princeton University Press

ISBN: 9780691157290

Category: Social Science

Page: 288

View: 876

Under the New Jersey State Constitution as interpreted by the State Supreme Court in 1975 and 1983, municipalities are required to use their zoning authority to create realistic opportunities for a fair share of affordable housing for low- and moderate-income households. Mount Laurel was the town at the center of the court decisions. As a result, Mount Laurel has become synonymous with the debate over affordable housing policy designed to create economically integrated communities. What was the impact of the Mount Laurel decision on those most affected by it? What does the case tell us about economic inequality? Climbing Mount Laurel undertakes a systematic evaluation of the Ethel Lawrence Homes--a housing development produced as a result of the Mount Laurel decision. Douglas Massey and his colleagues assess the consequences for the surrounding neighborhoods and their inhabitants, the township of Mount Laurel, and the residents of the Ethel Lawrence Homes. Their analysis reveals what social scientists call neighborhood effects--the notion that neighborhoods can shape the life trajectories of their inhabitants. Climbing Mount Laurel proves that the building of affordable housing projects is an efficacious, cost-effective approach to integration and improving the lives of the poor, with reasonable cost and no drawbacks for the community at large.
Categories: Social Science

Preventing Mental Disorders

Preventing Mental Disorders

Rubin , D.B. The use of matched sampling and regression adjustment to remove
bias in observational studies . Biometrics 29 : 185–203 , 1973b . Rubin , D.B.
Estimating causal effects of treatments in randomized and nonrandomized
studies .

Author: Jane A. Steinberg

Publisher:

ISBN: PURD:32754004385633

Category: Government publications

Page: 250

View: 736

Categories: Government publications

Annual review of political science

Annual review of political science

Matched Samplingfor Causal Effects. New York: Cambridge Univ. Press Rubin
DB. 2008. For objective causal inference, design trumps analysis. Ann. Appl. Stat.
2(3):808-40 Rubin DB, Smart EA. 2006. Affinely invariant matching methods with
 ...

Author: Annual Reviews, inc

Publisher: Annual Reviews

ISBN: UOM:39015079787993

Category: Political science

Page: 516

View: 642

Categories: Political science

Causal Inference in Statistics Social and Biomedical Sciences

Causal Inference in Statistics  Social  and Biomedical Sciences

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Author: Guido W. Imbens

Publisher: Cambridge University Press

ISBN: 9780521885881

Category: Business & Economics

Page: 625

View: 622

This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Categories: Business & Economics

Wiley Encyclopedia of Clinical Trials

Wiley Encyclopedia of Clinical Trials

D . B . Rubin , Estimating causal effects of treatments in randomized and
nonrandomized studies . J . Educ . Psychol . 1974 ; 66 : 688 – 701 . 4 . D . B .
Rubin , Matched Sampling for Causal Effects . Cambridge , UK : Cambridge
University Press ...

Author: Lisa Marie Sullivan

Publisher: Wiley-Interscience

ISBN: UCLA:L0099757734

Category: Reference

Page: 4800

View: 837

Here you'll find more than 500 entries from the world's leading experts in the field on the basic concepts, methodologies, and applications in clinical trials. The range of topics includes: basic statistical concepts, design and analysis of clinical trials, ethics, regulatory issues, and methodologies for clinical data management and analysis
Categories: Reference

A Matched sampling Algorithm for the Nursing Home Connection Demonstration

A Matched sampling Algorithm for the Nursing Home Connection Demonstration

Rosenbaum , P . R . , and D . B . Rubin , " The Central Role of the Propensity
Score in Observational Studies for Causal Effects , " Biometrika , 70 : 41 - 55 ,
1983 . Record , J . C . , M . McCally , 5 . 0 . Schweitzer , R . M . Blomquist , and B .
D ...

Author: Joan Buchanan

Publisher:

ISBN: IND:30000022293033

Category: Nursing home care

Page: 46

View: 938

Categories: Nursing home care

Effects of Food Assistance and Nutrition Programs on Nutrition and Health

Effects of Food Assistance and Nutrition Programs on Nutrition and Health

The Central Role of the Propensity Score in Observational Studies for Causal
Effects , ” Biometrika , Vol . ... Constructing a Control Group Using Multivariate
Matched Sampling Methods that Incorporate the Propensity Score , ” The
American ...

Author: William L. Hamilton

Publisher:

ISBN: OSU:32435069969152

Category: Food relief

Page:

View: 760

Categories: Food relief

DISENTANGLING TREATMENT EFFECTS OF POLISH ACTIVE LABOR MARKET POLICIES EVIDENCE FROM MATCHED SAMPLES

DISENTANGLING TREATMENT EFFECTS OF POLISH ACTIVE LABOR MARKET POLICIES  EVIDENCE FROM MATCHED SAMPLES

Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence
from Matched Samples Jochen Kluve AWI ... This paper estimates causal effects
of two Polish active labor market policies – Training and Intervention Works – on
 ...

Author: JOCHEN KLUVE, HARTMUT LEHMAM, AND CHRISTOPH M SCHMIDT

Publisher:

ISBN: UOMDLP:b2062124:0001.001

Category:

Page:

View: 520

Categories:

Disentangling Treatment Effects of Polish Active Labour Market Policies

Disentangling Treatment Effects of Polish Active Labour Market Policies

Evidence from Matched Samples Jochen Kluve, Hartmut Lehmann, Christoph M.
Schmidt ... 3298 Disentangling Treatment Effects of Polish Active Labour Market
Policies : Evidence from Matched Samples * This paper estimates causal effects
 ...

Author: Jochen Kluve

Publisher:

ISBN: UVA:X004529548

Category: Full employment policies

Page: 41

View: 339

Categories: Full employment policies

W G Cocharan s Impact on Statistics

W  G  Cocharan s Impact on Statistics

The central role of the propensity score in observational studies for causal effects.
Biometrika, 70, 41-55. Rubin, D. B. (1970). The Use of Matched Sampling and
Regression Adjustment in Observational Studies. Ph.D. thesis. Harvard
University ...

Author: Poduri S. R. S. Rao

Publisher:

ISBN: UCAL:B4407216

Category: Mathematics

Page: 431

View: 195

Review articles by former students, colleagues, and friends of W. G. Cochran summarize and evaluate the pioneering work of this great statistician, and examine research and its impact on various areas of statistics including sample survey theory and methodology, experimental design, and biometry and public health.
Categories: Mathematics

Research Methods for Criminal Justice and the Social Sciences

Research Methods for Criminal Justice and the Social Sciences

Matched samples for causal effects . New York : Cambridge University Press .
Ryan , T. ( 2007 ) . Modern experimental design . San Francisco , CA : Wiley
Interscience . Shadish , W. R. , Cook , T. D. , & Cambell , D. T. ( 2001 ) .
Experimental ...

Author: Connie Ireland

Publisher: Pearson

ISBN: PSU:000067844272

Category: Law

Page: 155

View: 355

Research Methods for Criminal Justice and the Social Sciences combines a traditional research book with exercises that allow students to experience research in a controlled environment. It is a companion methods/manual for use with most traditional social scientific research textbooks. This book offers readers basic information about methodological concerns (brief readings); and a variety of practices exercises relating to those readings. Some features of this book: Each chapter begins with a BRIEF discussion of the elements relevant to a basic understanding of research methods After each section of each chapter are several abstracted reprints containing basic intros of published articles Each reading is then followed with an Application Exercise which relates to the methodological procedure in the abstracted reprint...all exercises were designed to be completed by college students amd allows them to get their "hands dirty with the This is a perfect resource for individuals interested in the field of criminal justice, criminology, or sociology.
Categories: Law

Biometrics

Biometrics

Introduction Matched sampling is a methodology for reducing bias due to
observed covariates in observational studies for causal effects . The basic
situation involves one sample of Ne treated subjects and a larger sample of Nc
control ...

Author:

Publisher:

ISBN: UCAL:B5031668

Category: Biometry

Page:

View: 791

Categories: Biometry

Counterfactuals and Causal Inference

Counterfactuals and Causal Inference

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.

Author: Stephen L. Morgan

Publisher: Cambridge University Press

ISBN: 9781107065079

Category: Mathematics

Page: 524

View: 191

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.
Categories: Mathematics

Simple and Bias corrected Matching Estimators for Average Treatment Effects

Simple and Bias corrected Matching Estimators for Average Treatment Effects

... P . , AND D . RUBIN , ( 1983a ) , “ The Central Role of the Propensity Score in
Observational Studies for Causal Effects ” ... ROSENBAUM , P . , AND D . RUBIN
, ( 1985 ) , “ Constructing a Control Group Using Multivariate Matched Sampling ...

Author: Alberto Abadie

Publisher:

ISBN: UCSC:32106011401905

Category: Approximation theory

Page: 55

View: 687

Matching estimators for average treatment effects are widely used in evaluation research despite the fact that their large sample properties have not been established in many cases. In this article, we develop a new framework to analyze the properties of matching estimators and establish a number of new results. First, we show that matching estimators include a conditional bias term which may not vanish at a rate faster than root-N when more than one continuous variable is used for matching. As a result, matching estimators may not be root-N-consistent. Second, we show that even after removing the conditional bias, matching estimators with a fixed number of matches do not reach the semiparametric efficiency bound for average treatment effects, although the efficiency loss may be small. Third, we propose a bias-correction that removes the conditional bias asymptotically, making matching estimators root-N-consistent. Fourth, we provide a new estimator for the conditional variance that does not require consistent nonparametric estimation of unknown functions. We apply the bias-corrected matching estimators to the study of the effects of a labor market program previously analyzed by Lalonde (1986). We also carry out a small simulation study based on Lalonde's example where a simple implementation of the biascorrected matching estimator performs well compared to both simple matching estimators and to regression estimators in terms of bias and root-mean-squared-error. Software for implementing the proposed estimators in STATA and Matlab is available from the authors on the web.
Categories: Approximation theory

Journal of Computational and Graphical Statistics

Journal of Computational and Graphical Statistics

... The Central Role of the Propensity Score in Observational Studies for Causal
Effects , ” Biometrika , 70 , 41-55 . ( 1985 ) , “ Constructing a Control Group Using
Multivariate Matched Sampling Methods that Incorporate the Propensity Score ...

Author:

Publisher:

ISBN: UCSD:31822033898875

Category: Mathematical statistics

Page:

View: 863

Categories: Mathematical statistics

Seven Rules for Social Research

Seven Rules for Social Research

2006. " Matching estimators of causal effects : Prospects and pitfalls in theory and
practice . ” Sociological Methods and Research 35 : 3–60 . Rubin , Donald B.
1973. “ The use of matched samples and regression adjustment to remove bias
in ...

Author: Glenn Firebaugh

Publisher:

ISBN: IND:30000095613141

Category: Social Science

Page: 257

View: 420

Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master.
Categories: Social Science

Working Paper Series

Working Paper Series

... The Central Role of the Propensity Score in Observational Studies for Causal
Effects , ” Biometrika , 70 , 41 - 55 . - - - and - - - - - - - - - ( 1985a ) , “ Constructing
a Control Group Using Multivariate Matched Sampling Methods that Incorporate ...

Author:

Publisher:

ISBN: STANFORD:36105022094168

Category: Economics

Page:

View: 362

Categories: Economics