Interpreting And Comparing Effects In Logistic Probit And Logit Regression

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Interpreting And Comparing Effects In Logistic Probit And Logit Regression

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Author : Jacques A. P. Hagenaars
language : en
Publisher: SAGE Publications
Release Date : 2024-01-16

Interpreting And Comparing Effects In Logistic Probit And Logit Regression written by Jacques A. P. Hagenaars and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-16 with Social Science categories.

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.

Interpreting And Comparing Effects In Logistic Probit And Logit Regression

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Author : Jacques A P Hagenaars
language : en
Publisher: Sage Publications, Incorporated
Release Date : 2024-03-05

Interpreting And Comparing Effects In Logistic Probit And Logit Regression written by Jacques A P Hagenaars 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 2024-03-05 with categories.

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.

Linear Probability Logit And Probit Models

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Author : John H. Aldrich
language : en
Publisher: SAGE
Release Date : 1984-11

Linear Probability Logit And Probit Models written by John H. Aldrich and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-11 with Mathematics categories.

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.

Interpreting Probability Models

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Author : Tim Futing Liao
language : en
Publisher: SAGE
Release Date : 1994-06-30

Interpreting Probability Models written by Tim Futing Liao and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-06-30 with Mathematics categories.

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.

Discrete Choice Methods With Simulation

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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-06

Discrete Choice Methods With Simulation written by Kenneth Train and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-06 with Business & Economics categories.

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.

Financial Resilience And Environmental Sustainability

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Author : Firdous Ahmad Malik
language : en
Publisher: Springer Nature
Release Date : 2025-05-19

Financial Resilience And Environmental Sustainability written by Firdous Ahmad Malik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Business & Economics categories.

This book offers a thorough examination of financial resilience and environmental sustainability, focusing on the financing of environmental sustainability, and addressing the issues, challenges, and opportunities of green financing alongside sustainable development. It presents global South perspectives on the critical issues of financing and environmental sustainability, providing policy recommendations for economies grappling with these paradoxical concerns. This book explores the challenges of financing and environmental sustainability through insights from various emerging economies. It combines theoretical, empirical, and model-based evidence to address the sustainability challenges faced by global economies, aligning with sustainable development goals. The book investigates climate change and environmental degradation challenges and examines economic strategies for a sustainable future. With over one billion people living below the poverty line, many lacking access to financial products and services, this book aims to present practical examples of financial inclusion, using the sustainable development goals as a framework. The book illustrates that comprehensive financial inclusion goes beyond credit access and bank account services, addressing the need for financially viable and accessible products and services that meet individuals' financial needs and vulnerabilities. It demonstrates how inclusive financial systems can empower those living in poverty globally, improving income levels, employment opportunities, livelihoods, and ultimately reducing poverty.

Modeling Nonlinearity And Interaction In Regression Analysis Using Spline Variables

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Author : Roger A. Wojtkiewicz
language : en
Publisher: SAGE Publications
Release Date : 2025-05-22

Modeling Nonlinearity And Interaction In Regression Analysis Using Spline Variables written by Roger A. Wojtkiewicz and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Social Science categories.

"Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field." --Man-Kit Lei, The University of Georgia This volume addresses the issue of linear constraints in regression modeling. Author Roger A. Wojtkiewicz uses the method of knotted spline variables (also known as piecewise linear regression) and a new method involving group spline variables to model nonlinearity in a variety of situations. Using spline variables to model nonlinearity allows researchers to specify unrestricted models for models that involve interval variables, allowing for greater flexibility in modeling any possible interaction.

Preparing Data For Analysis

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Author : Bianca Manago
language : en
Publisher: SAGE Publications
Release Date : 2025-07-07

Preparing Data For Analysis written by Bianca Manago and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Social Science categories.

This book focuses on the process of preparing raw data for analysis—commonly known as data cleaning. It covers a range of topics including data compilation, variable naming and labeling, data examination, and variable re-coding and transformations, among others. Author Bianca Manago discusses best practices for data preparation and analysis, emphasizing the importance of prioritizing transparency, best practices for writing script files, and file naming and organization. Two example projects and datasets are used to illustrate the methods in the book, and the datasets, script files, and output files in both R and Stata are available to download at https://github.com/biancamanago/DataPreparation_QASS2025.

Ethnographic Free List Data

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Author : Benjamin Grant Purzycki
language : en
Publisher: SAGE Publications
Release Date : 2025-03-18

Ethnographic Free List Data written by Benjamin Grant Purzycki and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Social Science categories.

Ethnographic Free-List Data: Management and Analysis With Examples in R details a method that involves research participants listing what they know or think about the researcher’s topic of interest. While researchers typically report these free-list analyses in isolation, this book incorporates them with other analytical methods and demonstrates how ethnographic free-lists can be useful to a broad social science audience. The first half of the book covers descriptive methods, and the second half incorporates insights from the early chapters into a predictive statistical framework. Author Benjamin Grant Purzycki explains how to collect, clean, and manage free-list data and how to use R to calculate and visualize the data.

Recurrence Based Analyses

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Author : Sebastian Wallot
language : en
Publisher: SAGE Publications
Release Date : 2024-12-24

Recurrence Based Analyses written by Sebastian Wallot and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Social Science categories.

This book introduces techniques developed in physics and physiology for characterizing and analyzing patterns in time series data to a broad audience of social scientists. In contrast to time-series regression and related techniques, recurrence quantification analysis (RQA) has its background in chaos and nonlinear dynamical systems—theory arguably very relevant to social processes. The goal of Recurrence-Based Analyses is to introduce readers to these techniques that can characterize a system’s complexity, stability and instability, and conditions under which it transitions from one state to another. The authors illustrate concepts and techniques with relevant social science examples at different temporal scales: biweekly polling data on federal elections in Germany; daily values of three stock market indices; daily cases of SarsCov-19 in four countries during the pandemic; and second-by-second vocalizations of mothers and infants interacting recorded by motion cameras. This introduction to RQA serves as a useful supplement to undergraduate and graduate courses in computational social science, and also by researchers who seek new tools to address social scientific questions in new ways.