The Focal Multinomial Logit Model

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Econometric Analysis of Discrete Choice

Author : Axel Börsch-Supan
Publisher : Springer Science & Business Media
ISBN 13 : 3642456332
Total Pages : 223 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Econometric Analysis of Discrete Choice by : Axel Börsch-Supan

Download or read book Econometric Analysis of Discrete Choice written by Axel Börsch-Supan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a treatise on empirical microeconomics: it describes the econometric theory of qualitative choice models and the empirical practice of modeling consumer demand for a heterogeneous commodity, housing. Accordingly, the book has two parts. The first part gives a self-contained survey of discrete choice models with emphasis on nested and related multinomial logit models. The second part concentrates on three sUbstantive questions about housing demand and how they can be answered using discrete choice models. Why combine these two distinct parts in one book? It is the interaction between theory and application in empirical microeconomics on which we focus in this book. Hence, emphasis in the methodological part is on practicability, and emphasis in the applied part is on the usage of the proper econometric specifications. Econometrics means measuring economic phenomena. Because nature (ironically, in the case of economics, this is most often the government) rarely provides us with well-defined economic experiments, measurement of economic phenomena usually requires an elaborate statistical apparatus that is able to separate concurrent and confounding phenomena. Discrete choice models have proved to be a very convenient apparatus to study the complex issues in housing demand. We present models, techniques, and statistical problems of discrete choice in the first and methodological part of the book, written in conventional textbook style.

Multinomial Probit

Author : Carlos Daganzo
Publisher : Elsevier
ISBN 13 : 1483299341
Total Pages : 239 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Multinomial Probit by : Carlos Daganzo

Download or read book Multinomial Probit written by Carlos Daganzo and published by Elsevier. This book was released on 2014-06-28 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multinomial Probit

Applied Multivariate Research

Author : Lawrence S. Meyers
Publisher : SAGE Publications
ISBN 13 : 1506329780
Total Pages : 938 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Applied Multivariate Research by : Lawrence S. Meyers

Download or read book Applied Multivariate Research written by Lawrence S. Meyers and published by SAGE Publications. This book was released on 2016-10-28 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Discrete Choice Methods with Simulation

Author : Kenneth Train
Publisher : Cambridge University Press
ISBN 13 : 0521766559
Total Pages : 399 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Discrete Choice Methods with Simulation by : Kenneth Train

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Interpreting Probability Models

Author : Tim Futing Liao
Publisher : SAGE
ISBN 13 : 9780803949997
Total Pages : 100 pages
Book Rating : 4.9/5 (499 download)

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Book Synopsis Interpreting Probability Models by : Tim Futing Liao

Download or read book Interpreting Probability Models written by Tim Futing Liao and published by SAGE. This book was released on 1994-06-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Interaction Effects in Linear and Generalized Linear Models

Author : Robert L. Kaufman
Publisher : SAGE Publications
ISBN 13 : 1506365396
Total Pages : 609 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Interaction Effects in Linear and Generalized Linear Models by : Robert L. Kaufman

Download or read book Interaction Effects in Linear and Generalized Linear Models written by Robert L. Kaufman and published by SAGE Publications. This book was released on 2018-09-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Demand for livestock products in developing countries with a focus on quality and safety attributes: Evidence from Asia and Africa

Author :
Publisher : ILRI (aka ILCA and ILRAD)
ISBN 13 : 929146256X
Total Pages : 180 pages
Book Rating : 4.2/5 (914 download)

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Book Synopsis Demand for livestock products in developing countries with a focus on quality and safety attributes: Evidence from Asia and Africa by :

Download or read book Demand for livestock products in developing countries with a focus on quality and safety attributes: Evidence from Asia and Africa written by and published by ILRI (aka ILCA and ILRAD). This book was released on 2010 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Logit Modeling

Author : Alfred DeMaris
Publisher : SAGE
ISBN 13 : 9780803943773
Total Pages : 100 pages
Book Rating : 4.9/5 (437 download)

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Book Synopsis Logit Modeling by : Alfred DeMaris

Download or read book Logit Modeling written by Alfred DeMaris and published by SAGE. This book was released on 1992-06-06 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Logit models : theoretical background. Logit models for multidimensional tables. Logistic regression. Advanced topics in logistic regression. Appendix : Computer routines.

Regression Models for Categorical, Count, and Related Variables

Author : John P. Hoffmann
Publisher : Univ of California Press
ISBN 13 : 0520289293
Total Pages : 428 pages
Book Rating : 4.5/5 (22 download)

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Book Synopsis Regression Models for Categorical, Count, and Related Variables by : John P. Hoffmann

Download or read book Regression Models for Categorical, Count, and Related Variables written by John P. Hoffmann and published by Univ of California Press. This book was released on 2016-08-16 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner. This book provides an introduction and overview of several statistical models designed for these types of outcomes—all presented with the assumption that the reader has only a good working knowledge of elementary algebra and has taken introductory statistics and linear regression analysis. Numerous examples from the social sciences demonstrate the practical applications of these models. The chapters address logistic and probit models, including those designed for ordinal and nominal variables, regular and zero-inflated Poisson and negative binomial models, event history models, models for longitudinal data, multilevel models, and data reduction techniques such as principal components and factor analysis. Each chapter discusses how to utilize the models and test their assumptions with the statistical software Stata, and also includes exercise sets so readers can practice using these techniques. Appendices show how to estimate the models in SAS, SPSS, and R; provide a review of regression assumptions using simulations; and discuss missing data. A companion website includes downloadable versions of all the data sets used in the book.

Trading Off Competing Allocation Principles

Author : Lars Schwettmann
Publisher : Peter Lang
ISBN 13 : 9783631587157
Total Pages : 328 pages
Book Rating : 4.5/5 (871 download)

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Book Synopsis Trading Off Competing Allocation Principles by : Lars Schwettmann

Download or read book Trading Off Competing Allocation Principles written by Lars Schwettmann and published by Peter Lang. This book was released on 2009 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the tenability of prominent but conflicting allocation principles is evaluated with the help of questionnaire studies. Particularly the acceptance of a compromise solution is investigated which demands maximising total welfare subject to a certain floor level of individual welfare of all people. An interdisciplinary approach is followed to motivate each survey. With the help of graphical presentations consequences of different principles are visualised. Trade-offs between competing notions are found to be much more likely than possibly expected. Heterogeneity of justice attitudes can be witnessed in all studies. However, the principles of responsibility and needs seem to be of greater importance. Additionally, the gender of a respondent is found to have a major impact.

The Oxford Handbook of Panel Data

Author : Badi Hani Baltagi
Publisher :
ISBN 13 : 0199940045
Total Pages : 705 pages
Book Rating : 4.1/5 (999 download)

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Book Synopsis The Oxford Handbook of Panel Data by : Badi Hani Baltagi

Download or read book The Oxford Handbook of Panel Data written by Badi Hani Baltagi and published by . This book was released on 2015 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.

Expert Judgement in Risk and Decision Analysis

Author : Anca M. Hanea
Publisher : Springer Nature
ISBN 13 : 3030464741
Total Pages : 503 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Expert Judgement in Risk and Decision Analysis by : Anca M. Hanea

Download or read book Expert Judgement in Risk and Decision Analysis written by Anca M. Hanea and published by Springer Nature. This book was released on 2021-02-19 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book pulls together many perspectives on the theory, methods and practice of drawing judgments from panels of experts in assessing risks and making decisions in complex circumstances. The book is divided into four parts: Structured Expert Judgment (SEJ) current research fronts; the contributions of Roger Cooke and the Classical Model he developed; process, procedures and education; and applications. After an Introduction by the Editors, the first part presents chapters on expert elicitation of parameters of multinomial models; the advantages of using performance weighting by advancing the “random expert” hypothesis; expert elicitation for specific graphical models; modelling dependencies between experts’ assessments within a Bayesian framework; preventive maintenance optimization in a Bayesian framework; eliciting life time distributions to parametrize a Dirichlet process; and on an adversarial risk analysis approach for structured expert judgment studies. The second part includes Roger Cooke’s oration from 1995 on taking up his chair at Delft University of Technology; one of the editors reflections on the early decade of the Classical Model development and use; a current overview of the theory of the Classical Model, providing a deep and comprehensive perspective on its foundations and its application; and an interview with Roger Cooke. The third part starts with an interview with Professor Dame Anne Glover, who served as the Chief Scientific Advisor to the President of the European Commission. It then presents chapters on the characteristics of good elicitations by reviewing those advocated and applied; the design and development of a training course for SEJ; and on specific experiences with SEJ protocols with the intention of presenting the challenges and insights collected during these journeys. Finally, the fourth (and largest) part begins with some reflections from Willy Aspinall on his many experiences in applying the Classical Model in several application domains; it continues with related reflections on imperfect elicitations; and then it presents chapters with applications on medicines policy and management, supply chain cyber risk management, geo-political risks, terrorism and the risks facing businesses looking to internationalise.

Best Practices in Quantitative Methods

Author : Jason W. Osborne
Publisher : SAGE
ISBN 13 : 1412940656
Total Pages : 609 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Best Practices in Quantitative Methods by : Jason W. Osborne

Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Financial Risk Management

Author : Jimmy Skoglund
Publisher : John Wiley & Sons
ISBN 13 : 1119135516
Total Pages : 580 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Financial Risk Management by : Jimmy Skoglund

Download or read book Financial Risk Management written by Jimmy Skoglund and published by John Wiley & Sons. This book was released on 2015-10-12 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.

Introductory Econometrics

Author : Hamid Seddighi
Publisher : Routledge
ISBN 13 : 1136586091
Total Pages : 466 pages
Book Rating : 4.1/5 (365 download)

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Book Synopsis Introductory Econometrics by : Hamid Seddighi

Download or read book Introductory Econometrics written by Hamid Seddighi and published by Routledge. This book was released on 2013-03-01 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the first serious attempt to explain the basics of econometrics and its applications in the clearest and simplest manner possible. Recognising the fact that a good level of mathematics is no longer a necessary prerequisite for economics/financial economics undergraduate and postgraduate programmes, it introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complex nature.

Multiple Regression with Discrete Dependent Variables

Author : John G. Orme
Publisher : Oxford University Press
ISBN 13 : 0199716293
Total Pages : 225 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis Multiple Regression with Discrete Dependent Variables by : John G. Orme

Download or read book Multiple Regression with Discrete Dependent Variables written by John G. Orme and published by Oxford University Press. This book was released on 2009-03-25 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most social work researchers are familiar with linear regression techniques, which are fairly straightforward to conduct, interpret, and present. However, linear regression is not appropriate for discrete dependent variables, and social work research frequently employs these variables, focusing on outcomes such as placement in foster care or not; level of severity of elder abuse or depression symptoms; or number of reoffenses by juvenile delinquents in the year following adjudication. This book presents detailed discussions of regression models that are appropriate for a variety of discrete dependent variables. The major challenges of such analyses lie in the non-linear relationships between independent and dependent variables, and particularly in interpreting and presenting findings. Clear language guides the reader briefly through each step of the analysis, using SPSS and result presentation to enhance understanding of the important link function. The book begins with a brief review of linear regression; next, the authors cover basic binary logistic regression, which provides a foundation for the other techniques. In particular, comprehension of the link function is vital in order to later interpret these methods' results. Though the book assumes a basic understanding of linear regression, reviews and definitions throughout provide useful reminders of important terms and their meaning, and throughout the book the authors provide detailed examples based on their own data, which readers may work through by accessing the data and output on companion website. Social work and other social sciences faculty, students, and researchers who already have a basic understanding of linear regression but are not as familiar with the regression analysis of discrete dependent variables will find this straightforward pocket guide to be a terrific boon to their bookshelves. For additional resources, visit http://www.oup.com/us/pocketguides.

A Primer on Nonmarket Valuation

Author : Patricia A. Champ
Publisher : Springer
ISBN 13 : 9400771045
Total Pages : 508 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis A Primer on Nonmarket Valuation by : Patricia A. Champ

Download or read book A Primer on Nonmarket Valuation written by Patricia A. Champ and published by Springer. This book was released on 2017-02-08 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. The book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study.