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Author: John H. Aldrich
Publisher: SAGE
Published: 1984-11
Total Pages: 100
ISBN-13: 9780803921337
DOWNLOAD EBOOKAfter 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: Vani K. Borooah
Publisher: SAGE
Published: 2002
Total Pages: 108
ISBN-13: 9780761922421
DOWNLOAD EBOOKMany 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: Tim Futing Liao
Publisher: SAGE
Published: 1994-06-30
Total Pages: 100
ISBN-13: 9780803949997
DOWNLOAD EBOOKWhat 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: Jacqueline L. Robertson
Publisher:
Published: 1980
Total Pages: 20
ISBN-13:
DOWNLOAD EBOOKDescribes the computer program POLO from experimental design, through data input, to program output.
Author: Alfred DeMaris
Publisher: SAGE
Published: 1992-06-06
Total Pages: 100
ISBN-13: 9780803943773
DOWNLOAD EBOOKLogit models : theoretical background. Logit models for multidimensional tables. Logistic regression. Advanced topics in logistic regression. Appendix : Computer routines.
Author: Kenneth Train
Publisher: Cambridge University Press
Published: 2009-07-06
Total Pages: 399
ISBN-13: 0521766559
DOWNLOAD EBOOKThis 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.
Author: Burcu Adıgüzel Mercangöz
Publisher: Springer Nature
Published: 2021-02-17
Total Pages: 465
ISBN-13: 3030541088
DOWNLOAD EBOOKThis handbook presents emerging research exploring the theoretical and practical aspects of econometric techniques for the financial sector and their applications in economics. By doing so, it offers invaluable tools for predicting and weighing the risks of multiple investments by incorporating data analysis. Throughout the book the authors address a broad range of topics such as predictive analysis, monetary policy, economic growth, systemic risk and investment behavior. This book is a must-read for researchers, scholars and practitioners in the field of economics who are interested in a better understanding of current research on the application of econometric methods to financial sector data.
Author: J. S. Cramer
Publisher: Cambridge University Press
Published: 2003-08-21
Total Pages: 188
ISBN-13: 9781139438193
DOWNLOAD EBOOKLogistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.
Author: J. Scott Long
Publisher: SAGE
Published: 1997-01-09
Total Pages: 334
ISBN-13: 9780803973749
DOWNLOAD EBOOKEvaluates 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: Jason W. Osborne
Publisher: SAGE Publications
Published: 2014-02-26
Total Pages: 489
ISBN-13: 1483312097
DOWNLOAD EBOOKJason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
