Interaction Effects And Difference In Difference Estimation In Loglinear Models
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Interaction Effects And Difference In Difference Estimation In Loglinear Models
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Author : John Mullahy
language : en
Publisher:
Release Date : 1999
Interaction Effects And Difference In Difference Estimation In Loglinear Models written by John Mullahy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Causation categories.
In applied econometric work, analysts are concerned often with estimation of and inferences about interaction effects, e.g. 'Does the magnitude of the effect of z1 on y depend on z2? ' This paper develops tests for and proper interpretation of various forms of interaction effects in one prominent class of regression models loglinear models for which the nature of estimated interaction effects has not always been given due attention. The results obtained here have a direct bearing on the interpretation of so-called difference-in-difference estimates when these are obtained using loglinear models. An empirical example of the impacts of health insurance and chronic illness on prescription drug utilization underscores the importance of these issues in practical settings.
Interaction Effects In Factorial Analysis Of Variance
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 1998
Interaction Effects In Factorial Analysis Of Variance written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the techniqueÆs most powerful featureùthe evaluation of interaction effects. Written to remedy this situation, author James Jaccard clearly describes the issues underlying the effective analysis of interaction in factorial designs. The book begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, he then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches. In addition, Jaccard shows applications of all three approaches to the analysis of interactions using a complete numerical example; discusses strategies for effectively exploring interactions in higher order designs and designs with more than two levels per factor; highlights the central role of single degree of freedom contrasts and provides numerous illustrations for formulating such contrasts; considers simplified approaches to statistical power analysis; describes approaches to consider when statistical assumptions are not met; explicates the case of unequal sample sizes; considers the impact of measurement error; and demonstrates computer applications. Readers who have wanted a book that fully discusses different conceptualizations of interactions as well as one that provides practical guidelines for analyzing complex interactions will find this volume the one that they have been seeking.
Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher: SAGE Publications
Release Date : 2018-09-06
Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-06 with Social Science categories.
Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.
Interaction Effects In Multiple Regression
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 2003-03-05
Interaction Effects In Multiple Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-05 with Mathematics categories.
This is a practical introduction to conducting analyses of interaction effects in the context of multiple regression. This new edition expands coverage on the analysis of three-way interactions in multiple regression analysis.
Breaking Out Of The Pink Collar Ghetto
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Author : Sharon H. Mastracci
language : en
Publisher: Routledge
Release Date : 2016-07-22
Breaking Out Of The Pink Collar Ghetto written by Sharon H. Mastracci and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Business & Economics categories.
Widely interdisciplinary in appeal, this book reports on the successes of innovative training opportunities for non-college women who end up in low-paying, low-mobility, pink-collar jobs. The author examines the relative effectiveness of various programs in helping these women gain access to high-wage, high-mobility employment opportunities. The analysis includes case studies of grant-funded projects, as well as in-depth statistical analysis using ten years of data on women throughout the United States. These types of education and training options are in tremendous demand, and the author finds that they are having a powerful impact on the job prospects of non-college women. As an integral part of her study, she spells out what kinds of programs have proven most and least effective. Breaking Out of the Pink-Collar Ghetto addresses vital issues concerning the effects of gender segregation in career counseling and employment and training policy. It provides much-needed guidance on employment and training services delivery. The book has wide application for students as well as professionals in the fields of public policy and public administration, educational counseling and vocational education, labor economics, and women's studies.
Lisrel Approaches To Interaction Effects In Multiple Regression
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Author : James Jaccard
language : en
Publisher: SAGE
Release Date : 1996-03-21
Lisrel Approaches To Interaction Effects In Multiple Regression written by James Jaccard and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-21 with Mathematics categories.
With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.
Interaction Effects In Logistic Regression
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Author : James Jaccard
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 2001-02-21
Interaction Effects In Logistic Regression written by James Jaccard and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-21 with Social Science categories.
Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest to applied researchers.
Interaction And Marginal Effects In Nonlinear Models
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Author : Sangwon Lee
language : en
Publisher:
Release Date : 2013
Interaction And Marginal Effects In Nonlinear Models written by Sangwon Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Interaction and marginal effects are often an important concern, especially when variables are allowed to interact in a nonlinear model. In a linear model, the interaction term, representing the interaction effect, is the impact of a variable on the marginal effect of another variable. In a nonlinear model, however, the marginal effect of the interaction term is different from the interaction effect. This report provides a general derivation of both effects in a nonlinear model and a linear model to clearly illustrate the difference. These differences are then demonstrated with empirical data. The empirical study shows that the corrected interaction effect in an ordered logit or probit model is substantially different from the incorrect interaction effect produced by the margins command in Stata. Based on the correct formulas, this report verifies that the interaction effect is not the same as the marginal effect of the interaction term. Moreover, we must be careful when interpreting the nonlinear models with interaction terms in Stata or any other statistical software package
Interaction Effects In Linear And Generalized Linear Models
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Author : Robert L. Kaufman
language : en
Publisher:
Release Date : 2018
Interaction Effects In Linear And Generalized Linear Models written by Robert L. Kaufman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Linear models (Statistics) categories.
Econometric Analysis Of Count Data
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Author : Rainer Winkelmann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Econometric Analysis Of Count Data written by Rainer Winkelmann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Business & Economics categories.
The primary objective of this book is to provide an introduction to the econometric modeling of count data for graduate students and researchers. It should serve anyone whose interest lies either in developing the field fur ther, or in applying existing methods to empirical questions. Much of the material included in this book is not specific to economics, or to quantita tive social sciences more generally, but rather extends to disciplines such as biometrics and technometrics. Applications are as diverse as the number of congressional budget vetoes, the number of children in a household, and the number of mechanical defects in a production line. The unifying theme is a focus on regression models in which a dependent count variable is modeled as a function of independent variables which mayor may not be counts as well. The modeling of count data has come of age. Inclusion of some of the fundamental models in basic textbooks, and implementation on standard computer software programs bear witness to that. Based on the standard Poisson regression model, numerous extensions and alternatives have been developed to address the common challenges faced in empirical modeling (unobserved heterogeneity, selectivity, endogeneity, measurement error, and dependent observations in the context of panel data or multivariate data, to name but a few) as well as the challenges that are specific to count data (e. g. , over dispersion and underdispersion).