Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models
Title | Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models PDF eBook |
Author | Stefan Hoderlein |
Publisher | |
Pages | 40 |
Release | 2015 |
Genre | |
ISBN |
Handbook of Econometrics
Title | Handbook of Econometrics PDF eBook |
Author | |
Publisher | Elsevier |
Pages | 594 |
Release | 2020-11-25 |
Genre | Business & Economics |
ISBN | 0444636544 |
Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries. - Presents a broader and more comprehensive view of this expanding field than any other handbook - Emphasizes the connection between econometrics and economics - Highlights current topics for which no good summaries exist
Econometric Models For Industrial Organization
Title | Econometric Models For Industrial Organization PDF eBook |
Author | Matthew Shum |
Publisher | World Scientific |
Pages | 154 |
Release | 2016-12-14 |
Genre | Business & Economics |
ISBN | 981310967X |
Economic Models for Industrial Organization focuses on the specification and estimation of econometric models for research in industrial organization. In recent decades, empirical work in industrial organization has moved towards dynamic and equilibrium models, involving econometric methods which have features distinct from those used in other areas of applied economics. These lecture notes, aimed for a first or second-year PhD course, motivate and explain these econometric methods, starting from simple models and building to models with the complexity observed in typical research papers. The covered topics include discrete-choice demand analysis, models of dynamic behavior and dynamic games, multiple equilibria in entry games and partial identification, and auction models.
Econometric Analysis of Cross Section and Panel Data, second edition
Title | Econometric Analysis of Cross Section and Panel Data, second edition PDF eBook |
Author | Jeffrey M. Wooldridge |
Publisher | MIT Press |
Pages | 1095 |
Release | 2010-10-01 |
Genre | Business & Economics |
ISBN | 0262232588 |
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Optimal Transport Methods in Economics
Title | Optimal Transport Methods in Economics PDF eBook |
Author | Alfred Galichon |
Publisher | Princeton University Press |
Pages | 184 |
Release | 2018-08-14 |
Genre | Business & Economics |
ISBN | 0691183465 |
Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models. Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition. The first introduction to the subject written especially for economists Includes programming examples Features numerous exercises throughout Ideal for students and researchers alike
Handbook of Behavioral Economics - Foundations and Applications 2
Title | Handbook of Behavioral Economics - Foundations and Applications 2 PDF eBook |
Author | |
Publisher | Elsevier |
Pages | 530 |
Release | 2019-01-29 |
Genre | Business & Economics |
ISBN | 0444633960 |
Handbook of Behavioral Economics, Volume 2, Foundations and Applications offers critical perspectives on theoretical work within behavioral economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of the conceptual foundations underlying behavioral economics is written by, and for, economists, with chapters covering Intertemporal choice, Reference-dependent preferences, Beliefs, Cognition, Social preferences, Behavioral game theory, Welfare, and Neuroeconomics. - Helps academic and non-academic economists understand recent rapid changes in theoretical advances within behavioral economics - Designed for economists already convinced of the benefits of behavioral economics and mainstream economists who feel threatened by new developments in behavioral economics - Written for those who wish to become quickly acquainted with behavioral economics
Finite Mixture and Markov Switching Models
Title | Finite Mixture and Markov Switching Models PDF eBook |
Author | Sylvia Frühwirth-Schnatter |
Publisher | Springer Science & Business Media |
Pages | 506 |
Release | 2006-11-24 |
Genre | Mathematics |
ISBN | 0387357688 |
The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.