Linear Probability Logit And Probit Models
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| 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 | : 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 | : 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 | : John H. Aldrich |
| Publisher | : |
| Total Pages | : |
| Release | : 1984 |
| Genre | : |
| ISBN | : |
Download Linear probability, logit, and probit models, [By] John H. Aldrich and Forrest D. Nelson Book in PDF, Epub and Kindle
| 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 | : John H. Aldrich |
| Publisher | : SAGE Publications, Incorporated |
| Total Pages | : 96 |
| Release | : 1984-11-01 |
| Genre | : Social Science |
| ISBN | : 9780803921337 |
Download Linear Probability, Logit, and Probit Models Book in PDF, Epub and Kindle
Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
| 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 | : Alfred DeMaris |
| Publisher | : SAGE |
| Total Pages | : 100 |
| Release | : 1992-06-06 |
| Genre | : Business & Economics |
| ISBN | : 9780803943773 |
Download Logit Modeling Book in PDF, Epub and Kindle
Logit models : theoretical background. Logit models for multidimensional tables. Logistic regression. Advanced topics in logistic regression. Appendix : Computer routines.
| Author | : Constantin Colonescu |
| Publisher | : Lulu.com |
| Total Pages | : 278 |
| Release | : 2017-12-28 |
| Genre | : Business & Economics |
| ISBN | : 1387473611 |
Download Using R for Principles of Econometrics Book in PDF, Epub and Kindle
This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.
| Author | : J. S. Cramer |
| Publisher | : Cambridge University Press |
| Total Pages | : 188 |
| Release | : 2003-08-21 |
| Genre | : Business & Economics |
| ISBN | : 9781139438193 |
Download Logit Models from Economics and Other Fields Book in PDF, Epub and Kindle
Logistic 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.
