Nonparametric Identification And Estimation Of Finite Mixture Models Of Dynamic Discrete Choices PDF Download
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Author | : Hiroyuki Kasahara |
Publisher | : |
Total Pages | : 45 |
Release | : 2006 |
Genre | : Mixture distributions (Probability theory) |
ISBN | : 9780771428081 |
Download Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices Book in PDF, ePub and Kindle
In dynamic discrete choice analysis, controlling for unobserved heterogeneity is an im- portant issue, and finite mixture models provide flexible ways to account for unobserved heterogeneity. This paper studies nonparametric identifiability of type probabilities and type-specific component distributions in finite mixture models of dynamic discrete choices. We derive sufficient conditions for nonparametric identification for various finite mixture models of dynamic discrete choices used in applied work. Three elements emerge as the important determinants of identification; the time-dimension of panel data, the number of values the covariates can take, and the heterogeneity of the response of different types to changes in the covariates. For example, in a simple case, a time-dimension of T = 3 is sufficient for identification, provided that the number of values the covariates can take is no smaller than the number of types, and that the changes in the covariates induce sufficiently heterogeneous variations in the choice probabilities across types. Type-specific components are identifiable even when state dependence is present as long as the panel has a moderate time-dimension ( T {u2265} 6). We also develop a series logit estimator for finite mixture models of dynamic discrete choices and derive its convergence rate.
Author | : Eugene Choo |
Publisher | : Emerald Group Publishing |
Total Pages | : 447 |
Release | : 2013-12-18 |
Genre | : Business & Economics |
ISBN | : 1783500530 |
Download Structural Econometric Models Book in PDF, ePub and Kindle
This volume focuses on recent developments in the use of structural econometric models in empirical economics. The first part looks at recent developments in the estimation of dynamic discrete choice models. The second part looks at recent advances in the area empirical matching models.
Author | : Ali Hortaçsu |
Publisher | : Princeton University Press |
Total Pages | : 281 |
Release | : 2023-10-24 |
Genre | : Business & Economics |
ISBN | : 0691251002 |
Download Structural Econometric Modeling in Industrial Organization and Quantitative Marketing Book in PDF, ePub and Kindle
A concise and rigorous introduction to widely used approaches in structural econometric modeling Structural econometric modeling specifies the structure of an economic model and estimates the model’s parameters from real-world data. Structural econometric modeling enables better economic theory–based predictions and policy counterfactuals. This book offers a primer on recent developments in these modeling techniques, which are used widely in empirical industrial organization, quantitative marketing, and related fields. It covers such topics as discrete choice modeling, demand modes, estimation of the firm entry models with strategic interactions, consumer search, and theory/empirics of auctions. The book makes highly technical material accessible to graduate students, describing key insights succinctly but without sacrificing rigor. • Concise overview of the most widely used structural econometric models • Rigorous and systematic treatment of the topics, emphasizing key insights • Coverage of demand estimation, estimation of static and dynamic game theoretic models, consumer search, and auctions • Focus on econometric models while providing concise reviews of relevant theoretical models
Author | : |
Publisher | : Elsevier |
Total Pages | : 788 |
Release | : 2021-12-09 |
Genre | : Business & Economics |
ISBN | : 0323915140 |
Download Handbook of Industrial Organization Book in PDF, ePub and Kindle
Handbook of Industrial Organization, Volume Four highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of expert authors. Presents authoritative surveys and reviews of advances in theory and econometrics Reviews recent research on capital raising methods and institutions Includes discussions on developing countries
Author | : Ayden Higgins |
Publisher | : |
Total Pages | : |
Release | : 2021 |
Genre | : |
ISBN | : |
Download Identification of Mixtures of Dynamic Discrete Choices Book in PDF, ePub and Kindle
Author | : Daron Acemoglu |
Publisher | : Cambridge University Press |
Total Pages | : 633 |
Release | : 2013-05-13 |
Genre | : Business & Economics |
ISBN | : 1107717825 |
Download Advances in Economics and Econometrics: Volume 3, Econometrics Book in PDF, ePub and Kindle
This is the third of three volumes containing edited versions of papers and commentaries presented at invited symposium sessions of the Tenth World Congress of the Econometric Society, held in Shanghai in August 2010. The papers summarize and interpret key developments in economics and econometrics, and they discuss future directions for a wide variety of topics, covering both theory and application. Written by the leading specialists in their fields, these volumes provide a unique, accessible survey of progress on the discipline. The first volume primarily addresses economic theory, with specific focuses on nonstandard markets, contracts, decision theory, communication and organizations, epistemics and calibration, and patents.
Author | : Orley Ashenfelter |
Publisher | : Elsevier |
Total Pages | : 862 |
Release | : 2010-10-28 |
Genre | : Social Science |
ISBN | : 0444534512 |
Download Handbook of Labor Economics Book in PDF, ePub and Kindle
What new tools and models are enriching labor economics?Developments in Research Methods and their Application, Volume 4A summarizes recent advances in the ways economists study wages, employment, and labor markets. Mixing conceptual models and empirical work, contributors cover subjects as diverse as field and laboratory experiments, program evaluation, and behavioral models. The combinations of these improved empirical findings with new models reveal how labor economists are developing new and innovative ways to measure key parameters and test important hypotheses. Investigates recent advances in methods and models used in labor economics Demonstrates what these new tools and techniques can accomplish Documents how conceptual models and empirical work explain important practical issues
Author | : Econometric Society. World Congress |
Publisher | : Cambridge University Press |
Total Pages | : 633 |
Release | : 2013-05-27 |
Genre | : Business & Economics |
ISBN | : 1107016061 |
Download Advances in Economics and Econometrics Book in PDF, ePub and Kindle
The third volume of edited papers from the Tenth World Congress of the Econometric Society 2010.
Author | : Tatiana A. Benaglia |
Publisher | : |
Total Pages | : 129 |
Release | : 2008 |
Genre | : |
ISBN | : 9781109014433 |
Download Nonparametric Estimation in Multivariate Finite Mixture Models Book in PDF, ePub and Kindle
The main goal of this thesis is to provide a complete methodology to analyze finite multivariate mixture models. Our approach is fully nonparametric and it only requires the coordinates to be independent, conditional on the component membership. Since the number of components in the mixture is assumed to be known, we also developed a technique to select the number of components that best fits the model. In addition, we provide some tools to check if the assumption of conditional independence is reasonable. All the methods are evaluated by simulations, and compared with methodology existing in the literature. We also apply our methodology to two real datasets from cognitive psychology.
Author | : Bryan Graham |
Publisher | : Academic Press |
Total Pages | : 244 |
Release | : 2020-06-03 |
Genre | : Business & Economics |
ISBN | : 0128117710 |
Download The Econometric Analysis of Network Data Book in PDF, ePub and Kindle
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Answers both 'why' and 'how' questions in network analysis, bridging the gap between practice and theory allowing for the easier entry of novices into complex technical literature and computation Fully describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state of the art' versioned for their domain environment, saving them time and money Disciplined structure provides latitude for multiple sources of expertise while retaining an integrated and pedagogically focused authorial voice, ensuring smooth transition and easy progression for readers Fully supported by companion site code repository 40+ diagrams of 'networks in the wild' help visually summarize key points