Microeconometrics

Methods and Applications

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Author: A. Colin Cameron,Pravin K. Trivedi

Publisher: Cambridge University Press

ISBN: 9780521848053

Category: Business & Economics

Page: 1034

View: 1203

This text is the most comprehensive work to date on microeconometrics, its methods and applications.

Microeconometrics

Methods and Applications

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Author: A. Colin Cameron,Pravin K. Trivedi

Publisher: Cambridge University Press

ISBN: 1139444867

Category: Business & Economics

Page: N.A

View: 1530

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

Microeconometrics of Banking

Methods, Applications, and Results

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Author: Hans Degryse,Moshe Kim,Steven Ongena

Publisher: Oxford University Press, USA

ISBN: 0195340477

Category: Business & Economics

Page: 234

View: 5997

This title provides a compendium to recent work in empirical banking. It follows the structure in 'The Microeconomics of Banking' by Xavier Freixas and Jean Charles Rochet in arranging the relevant methodologies, applications and results to achieve a coherent synthesis between available theory and supporting empirics

Regression Analysis of Count Data

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Author: A. Colin Cameron,Pravin K. Trivedi

Publisher: Cambridge University Press

ISBN: 1107717795

Category: Business & Economics

Page: 587

View: 6181

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.

Microeconometrics using Stata

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Author: Adrian Colin Cameron,P. K. Trivedi

Publisher: Statacorp Lp

ISBN: 9781597180481

Category: Business & Economics

Page: 692

View: 8170

An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata'真s programming features to implement methods for which Stata does not have a specific command.Multi/Card Deck Copy

Econometric Analysis of Cross Section and Panel Data

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Author: Jeffrey M Wooldridge

Publisher: MIT Press

ISBN: 0262232588

Category: Business & Economics

Page: 1064

View: 7617

Introduction -- Conditional expectations and related concepts in econometrics -- Basic asymptotic theory -- Single-equation linear model and ordinary least squares estimation -- Instrumental variables estimation of single-equation linear models -- Additional single-equation topics -- Estimating systems of equations by ordinary least squares and generalized least squares -- System estimation by instrumental variables -- Simultaneous equations models -- Basic linear unobserved effects panel data models -- More topics in linear unobserved effects models -- M-estimation, nonlinear regression, and quantile regression -- Maximum likelihood methods -- Generalized method of moments and minimum distance estimation -- Binary response models -- Multinomial and ordered response models -- Corner solution responses -- Count, fractional, and other nonnegative responses -- Censored data, sample selection, and attrition -- Stratified sampling and cluster sampling -- Estimating average treatment effects -- Duration analysis.

Microeconometrics and MATLAB: An Introduction

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Author: Abi Adams,Damian Clarke,Simon Quinn

Publisher: Oxford University Press

ISBN: 0191069442

Category: Business & Economics

Page: 256

View: 916

This book is a practical guide for theory-based empirical analysis in economics that guides the reader through the first steps when moving between economic theory and applied research. The book provides a hands-on introduction to some of the techniques that economists use for econometric estimation and shows how to convert a selection of standard and advanced estimators into MATLAB code. The book first provides a brief introduction to MATLAB and its syntax, before moving into microeconometric applications studied in undergraduate and graduate econometrics courses. Along with standard estimation methods such as, for example, Method of Moments, Maximum Likelihood, and constrained optimisation, the book also includes a series of chapters examining more advanced research methods. These include discrete choice, discrete games, dynamic models on a finite and infinite horizon, and semi- and nonparametric methods. In closing, it discusses more advanced features that can be used to optimise use of MATLAB, including parallel computing. Each chapter is structured around a number of worked examples, designed for the reader to tackle as they move through the book. Each chapter ends with a series of readings, questions, and extensions, designed to help the reader on their way to adapting the examples in the book to fit their own research questions.

Micro-Econometrics

Methods of Moments and Limited Dependent Variables

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Author: Myoung-jae Lee

Publisher: Springer Science & Business Media

ISBN: 0387688412

Category: Business & Economics

Page: 770

View: 7645

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

Microbehavioral Econometric Methods

Theories, Models, and Applications for the Study of Environmental and Natural Resources

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Author: S. Niggol Seo

Publisher: Academic Press

ISBN: 0128041560

Category: Business & Economics

Page: 326

View: 7116

Microbehavioral Econometric Methods and Environmental Studies uses microeconometric methods to model the behavior of individuals, then demonstrates the modelling approaches in addressing policy needs. It links theory and methods with applications, and it incorporates data to connect individual choices and global environmental issues. This extension of traditional environmental economics presents modeling strategies and methodological techniques, then applies them to hands-on examples.Throughout the book, readers can access chapter summaries, problem sets, multiple household survey data with regard to agricultural and natural resources in Sub-Saharan Africa, South America, and India, and empirical results and solutions from the SAS software. Emphasizes ways that choices and outcomes are modelled simultaneously Illuminates relationships between micro decisions and global environmental systems Uses software and cases in analyzing environmental policy issues Links microeconomic models to applications in environmental economics and thereby connects individual choices with global environmental issues

Semiparametric and Nonparametric Methods in Econometrics

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Author: Joel L. Horowitz

Publisher: Springer Science & Business Media

ISBN: 9780387928708

Category: Business & Economics

Page: 276

View: 422

Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and statistical inference but are rarely justified by economic theory or other a priori considerations. Inference based on convenient but incorrect assumptions about functional forms and distributions can be highly misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and inference, thereby reducing the opportunities for obtaining misleading results. These methods are applicable to a wide variety of estimation problems in empirical economics and other fields, and they are being used in applied research with increasing frequency. The literature on nonparametric and semiparametric estimation is large and highly technical. This book presents the main ideas underlying a variety of nonparametric and semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the level taught in graduate-level courses in leading universities. The book emphasizes ideas instead of technical details and provides as intuitive an exposition as possible. Empirical examples illustrate the methods that are presented. This book updates and greatly expands the author’s previous book on semiparametric methods in econometrics. Nearly half of the material is new.

Discrete Choice Methods with Simulation

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Author: Kenneth Train

Publisher: Cambridge University Press

ISBN: 0521766559

Category: Business & Economics

Page: 388

View: 701

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.

Nonparametric Econometrics

Theory and Practice

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Author: Qi Li,Jeffrey Scott Racine

Publisher: Princeton University Press

ISBN: 1400841062

Category: Business & Economics

Page: 768

View: 9768

Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format. The empirical tests, data, and exercises included in this textbook help make it the ideal introduction for graduate students and an indispensable resource for researchers. Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. While the majority of existing books on the subject operate from the presumption that the underlying data is strictly continuous in nature, more often than not social scientists deal with categorical data--nominal and ordinal--in applied settings. The conventional nonparametric approach to dealing with the presence of discrete variables is acknowledged to be unsatisfactory. This book is tailored to the needs of applied econometricians and social scientists. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types--continuous, nominal, and ordinal--within one coherent framework. They also emphasize the properties of nonparametric estimators in the presence of potentially irrelevant variables. Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems.

Advanced Econometrics

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Author: Takeshi Amemiya

Publisher: Harvard University Press

ISBN: 9780674005600

Category: Business & Economics

Page: 521

View: 3725

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models. Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.

Bayesian Non- and Semi-parametric Methods and Applications

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Author: Peter Rossi

Publisher: Princeton University Press

ISBN: 1400850304

Category: Business & Economics

Page: 224

View: 4928

This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility. This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.

A Guide to Modern Econometrics

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Author: Marno Verbeek

Publisher: John Wiley & Sons

ISBN: 0470517697

Category: Business & Economics

Page: 472

View: 9962

This highly successful text focuses on exploring alternative techniques, combined with a practical emphasis, A guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical reference, this new edition builds on the strengths of the second edition and brings the text completely up-to-date.

Panel Data Econometrics

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Author: Manuel Arellano

Publisher: Oxford University Press

ISBN: 0199245282

Category: Business & Economics

Page: 231

View: 6485

Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.

Nonparametric Econometrics

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Author: Adrian Pagan,Aman Ullah

Publisher: Cambridge University Press

ISBN: 9780521586115

Category: Business & Economics

Page: 424

View: 4631

Covering the vast literature on the nonparametric and semiparametric statistics and econometrics that has evolved over the last five decades, this book will be useful for first year graduate courses in econometrics.