Download or read book Iterative Least Squares Estimator of Binary Choice Models written by Weiren Wang and published by . This book was released on 1995 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling Ordered Choices written by William H. Greene and published by Cambridge University Press. This book was released on 2010-04-08 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.

Download or read book An Information Theoretic Approach to Econometrics written by George G. Judge and published by Cambridge University Press. This book was released on 2011-12-12 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric models and methods. Because most data are observational, practitioners work with indirect noisy observations and ill-posed econometric models in the form of stochastic inverse problems. Consequently, traditional econometric methods in many cases are not applicable for answering many of the quantitative questions that analysts wish to ask. After initial chapters deal with parametric and semiparametric linear probability models, the focus turns to solving nonparametric stochastic inverse problems. In succeeding chapters, a family of power divergence measure-likelihood functions are introduced for a range of traditional and nontraditional econometric-model problems. Finally, within either an empirical maximum likelihood or loss context, Ron C. Mittelhammer and George G. Judge suggest a basis for choosing a member of the divergence family.

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.

Download or read book Essays in Econometrics written by and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semiparametric estimation of monotonic single index models is studied. In this class of models, the unknown components are a monotonic link function along with finite-dimensional parameters including the coefficient of the single index. The proposed method optimizes objective functionals with respect to both finite and infinite dimensional parameters. In the first chapter, proofs of consistency, rates of convergence, asymptotic normality and semiparametric efficiency are offered. The main result is applied to the semiparametric Least Squares (LS) estimation, semiparametric Least Absolute Deviation (LAD) estimation, and the semiparametric Maximum Likelihood (ML) estimation for various types of single index models. The second chapter focuses on an iteration-based method proposed by Wang and Zhou (1995) for the standard binary choice model. The algorithm is kernel free, very fast and easy-to-implement. The estimator is consistent and nearly efficient. These desirable large sample properties of the estimator, however, have not been rigorously proven so far. In this chapter, a set of sufficient conditions for consistency and asymptotic normality of the WZ estimator will be given. In the third chapter, the estimation methods developed in the previous two chapters are applied to dichotomous choice contingent valuation, which has been one of the most popular methods to estimate Willingness-To-Pay (WTP) for non-market goods, such as environmental resources. The proposed method is a two-step estimatior. In the first step, the underlying binary response model is estimated by the method studied in the previous chapters. In the second step, the distribution of the WTP is computed based on the first estimates. Consistency, asymptotic normality, and semiparametric efficiency of the estimator are studied.

Download or read book On Least Squares Estimation when the Dependent Variable is Grouped written by Mark B. Stewart and published by . This book was released on 1982 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Semiparametric Estimation of Binary Choice Models Based on Medians of the Grouped Data written by Kazumitsu Nawata and published by . This book was released on 1989 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Mathematical Economics Volume 17 written by Shigeo Kusuoka and published by Springer Science & Business Media. This book was released on 2013-05-20 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research.

Download or read book Pseudo Maximum Likelihood Estimation of Binary Choice Models written by Da-Hsiang Donald Lien and published by . This book was released on 1989 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trimmed Likelihood based Estimation in Binary Regression Models written by Pavel Čížek and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Semiparametric Estimation of Discrete Choice Models written by Trueman Scott Thompson and published by . This book was released on 1989 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Linear Probability Logit and Probit Models written by John H. Aldrich and published by SAGE. This book was released on 1984-11 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Robust and Efficient Adaptive Estimation of Binary choice Regression Models written by Pavel Čižek and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Mathematical Economics written by Toru Maruyama and published by Springer Nature. This book was released on 2020-02-20 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories.

Download or read book Semiparametric Estimation of Binary Discrete Choice Models written by Margarida Genius and published by . This book was released on 1990 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Simple Estimator for Binary Choice Models with Endogenous Regressors written by Yingying Dong and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Simple Local Least Squares Approach for Estimating the Regression Function of Binary Response Data and Related Data driven Bandwidth Selection Procedures written by Aaron Kenji Aragaki and published by . This book was released on 1995 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: