Interpreting And Comparing Effects In Logistic Probit And Logit Regression PDF Download
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Author | : Jacques A. P. Hagenaars |
Publisher | : SAGE Publications |
Total Pages | : 174 |
Release | : 2024-01-16 |
Genre | : Social Science |
ISBN | : 1544363990 |
Download Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression Book in PDF, ePub and Kindle
Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website at: https://study.sagepub.com/researchmethods/qass/hagenaars-interpreting-effects.
Author | : Jacques A P Hagenaars |
Publisher | : Sage Publications, Incorporated |
Total Pages | : 0 |
Release | : 2024-03-05 |
Genre | : |
ISBN | : 9781544364018 |
Download Interpreting and Comparing Effects in Logistic, Probit and Logit Regression Book in PDF, ePub and Kindle
Interpreting Effects in Logistic Regression and Logit Models shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one model, (ii) between identical models estimated in different subgroups, and (iii) between nested models. Additionally, this volume presents a practical, unified treatment of comparison problems and considers the advantages and disadvantages of each approach and when to use them.
Author | : Jacques A. P. Hagenaars |
Publisher | : SAGE Publications |
Total Pages | : 205 |
Release | : 2024-02-27 |
Genre | : Political Science |
ISBN | : 1544364008 |
Download Interpreting and Comparing Effects in Logistic, Probit and Logit Regression Book in PDF, ePub and Kindle
Interpreting and Comparing Effects in Logistic, Probit and Logit Regression shows applied researchers how to compare coefficient estimates from regression models for categorical dependent variables in typical research situations. It presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them.
Author | : John H. Aldrich |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1984-11 |
Genre | : Mathematics |
ISBN | : 9780803921337 |
Download Linear Probability, Logit, and Probit Models Book in PDF, ePub and Kindle
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.
Author | : J. Scott Long |
Publisher | : SAGE |
Total Pages | : 334 |
Release | : 1997-01-09 |
Genre | : Mathematics |
ISBN | : 9780803973749 |
Download Regression Models for Categorical and Limited Dependent Variables Book in PDF, ePub and Kindle
Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Author | : Tim Futing Liao |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1994-06-30 |
Genre | : Mathematics |
ISBN | : 9780803949997 |
Download Interpreting Probability Models Book in PDF, ePub and Kindle
What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.
Author | : Scott Menard |
Publisher | : SAGE |
Total Pages | : 393 |
Release | : 2010 |
Genre | : Mathematics |
ISBN | : 1412974836 |
Download Logistic Regression Book in PDF, ePub and Kindle
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
Author | : Vani K. Borooah |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 2002 |
Genre | : Mathematics |
ISBN | : 9780761922421 |
Download Logit and Probit Book in PDF, ePub and Kindle
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. This book explains what ordered and multinomial models are and also shows how to apply them to analysing issues in the social sciences.
Author | : J. Scott Long |
Publisher | : Stata Press |
Total Pages | : 559 |
Release | : 2006 |
Genre | : Computers |
ISBN | : 1597180114 |
Download Regression Models for Categorical Dependent Variables Using Stata, Second Edition Book in PDF, ePub and Kindle
The goal of the book is to make easier to carry out the computations necessary for the full interpretation of regression nonlinear models for categorical outcomes usign Stata.
Author | : Kenneth Train |
Publisher | : Cambridge University Press |
Total Pages | : 399 |
Release | : 2009-07-06 |
Genre | : Business & Economics |
ISBN | : 0521766559 |
Download Discrete Choice Methods with Simulation Book in PDF, ePub and Kindle
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.