Identification and Estimation of a Search Model

Identification and Estimation of a Search Model PDF Author: Mateusz Myśliwski
Publisher:
ISBN:
Category :
Languages : en
Pages : 21

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Book Description
We propose a non-sequential search model with a continuum of consumers and a finite number of firms. Both consumers and firms are heterogeneous. Consumers differ in search costs. Firms have private marginal costs of production. We show that an equilibrium price dispersion can arise in this model as firms employ a Bayesian Nash pricing strategy. We provide conditions to identify the model using price and another supply side data (such as market share). Our identification strategy is constructive. We derive the uniform rate of convergence of our estimator.

Identification and Estimation of a Search Model

Identification and Estimation of a Search Model PDF Author: Mateusz Myśliwski
Publisher:
ISBN:
Category :
Languages : en
Pages : 21

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Book Description
We propose a non-sequential search model with a continuum of consumers and a finite number of firms. Both consumers and firms are heterogeneous. Consumers differ in search costs. Firms have private marginal costs of production. We show that an equilibrium price dispersion can arise in this model as firms employ a Bayesian Nash pricing strategy. We provide conditions to identify the model using price and another supply side data (such as market share). Our identification strategy is constructive. We derive the uniform rate of convergence of our estimator.

Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks

Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks PDF Author: Peter Arcidiacono
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This paper applies some of the key insights of dynamic discrete choice models to continuous-time job search models. We propose a novel framework that incorporates preference shocks into search models, resulting in a tight connection between value functions and conditional choice probabilities. Including preference shocks allows us to establish constructive identification of all the model parameters. Our method also makes it possible to estimate rich nonstationary job search models in a simple and tractable way, without having to solve any differential equations. We apply our framework to rich longitudinal data from Hungarian administrative records, allowing for nonstationarities in offer arrival rates, wage offers, and in the flow payoff of unemployment. Longer unemployment durations are associated with substantially worse wage offers and lower offer arrival rates, which results in accepted wages falling over time.

Search Theory and Unemployment

Search Theory and Unemployment PDF Author: Stephen A. Woodbury
Publisher: Springer Science & Business Media
ISBN: 9401002355
Category : Business & Economics
Languages : en
Pages : 244

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Book Description
Search Theory and Unemployment contains nine chapters that survey and extend the theory of job search and its application to the problem of unemployment. The volume ranges from surveys of job search theory that take microeconomic and macroeconomic perspectives to original theoretical contributions which focus on the externalities arising from non-sequential search and search under imperfect information. It includes a clear and authoritative survey of econometric methods that have been developed to estimate models of job search, as well as two lucid contributions to the empirical search literature. Finally, it includes a study that reviews and extends the literature on optimal unemployment insurance and concludes with an appraisal of the influence of search theory on the thinking of macroeconomic policymakers.

Search for Differentiated Products

Search for Differentiated Products PDF Author: Sergei Koulayev
Publisher:
ISBN:
Category :
Languages : en
Pages : 23

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Book Description
When consumers search for differentiated products, a given search decision can be explained either by low search cost or by low tastes for the set of products already found. We propose an identification strategy that allows to estimate the search cost distribution in the presence of unobserved tastes. The required data takes the form of conditional search decisions: observations of search actions combined with previously observed product displays. We develop an application using clickstream data from a hotel search platform. Estimates of price elasticity of demand in the search model differ from those in the static model, reflecting the bias due to endogeneity of search-generated choice sets.

Econometric Models For Industrial Organization

Econometric Models For Industrial Organization PDF Author: Matthew Shum
Publisher: World Scientific
ISBN: 981310967X
Category : Business & Economics
Languages : en
Pages : 154

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Book Description
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.

Identification in Search Models with Social Information

Identification in Search Models with Social Information PDF Author: Niccolo Lomys
Publisher:
ISBN:
Category : Searching behavior
Languages : en
Pages : 0

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Book Description
We theoretically study how social information affects agents’ search behavior and the resulting observable outcomes that identify search models. We generalize canonical empirical search models by allowing a share of agents in the population to observe some peers’ choices. Social information changes optimal search. First, we show that neglecting social information leads to non-identification and inconsistent estimation of search cost distributions under various standard datasets. Whether search costs are under or overestimated depends on the dataset. Second, we propose several remedies -- such as data requirements, offline estimation techniques, exogenous variations, and partial identification approaches -- that restore identification and consistent estimation.

System Identification

System Identification PDF Author: Lennart Ljung
Publisher: Pearson Education
ISBN: 0132440539
Category : Technology & Engineering
Languages : en
Pages : 873

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Book Description
The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques: Nonparametric time-domain and frequency-domain methods. Parameter estimation methods in a general prediction error setting. Frequency domain data and frequency domain interpretations. Asymptotic analysis of parameter estimates. Linear regressions, iterative search methods, and other ways to compute estimates. Recursive (adaptive) estimation techniques. Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models. The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.

Identification of Parametric Models

Identification of Parametric Models PDF Author: Eric Walter
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 440

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Book Description
The presentation of a coherent methodology for the estimation of the parameters of mathematical models from experimental data is examined in this volume. Many topics are covered including the choice of the structure of the mathematical model, the choice of a performance criterion to compare models, the optimization of this performance criterion, the evaluation of the uncertainty in the estimated parameters, the design of experiments so as to get the most relevant data and the critical analysis of results. There are also several features unique to the work such as an up-to-date presentation of the methodology for testing models for identifiability and distinguishability and a comprehensive treatment of parametric optimization which includes greater consider ation of numerical aspects and which examines recursive and non-recursive methods for linear and nonlinear models.

Two-Sided Matching

Two-Sided Matching PDF Author: Alvin E. Roth
Publisher: Cambridge University Press
ISBN: 1107782430
Category : Business & Economics
Languages : en
Pages : 288

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Book Description
Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This book gives a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching. The focus of the book is on the stability of outcomes, on the incentives that different rules of organization give to agents, and on the constraints that these incentives impose on the ways such markets can be organized. The results for this wide range of related models and matching situations help clarify which conclusions depend on particular modeling assumptions and market conditions, and which are robust over a wide range of conditions. 'This book chronicles one of the outstanding success stories of the theory of games, a story in which the authors have played a major role: the theory and practice of matching markets ... The authors are to be warmly congratulated for this fine piece of work, which is quite unique in the game-theoretic literature.' From the Foreword by Robert Aumann

Essays on Estimated Labor Search Models

Essays on Estimated Labor Search Models PDF Author: Mauricio Manuel Tejada
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 428

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Book Description
Search theory has proven to be a very useful tool to analyze and understand the impact of labor market policies and institutional arrangements on labor market outcomes. Structural econometrics, on the other hand, seeks to recover the primitives of economic theory and to estimate decision rules. These essays use the conjunction of both to analyze various labor market issues. The first chapter estimates a search and matching model to analyze the relationship between duality in the labor market and labor market protection in Chile. Results indicate that both types of contracts, permanent and temporary, survive in equilibrium and that there is a strong substitution effect between contracts. Also, stringent labor protection generates important trade offs between flexibility and productivity. The second chapter provides lifetime measures of inequality for Chile and analyzes its main sources. Results indicate that inequality is not only high in a cross-section perspective, but also in a lifetime perspective and that low mobility is the main source of lifetime inequality. Finally, the third chapter uses a descriptive approach and a structural estimation of a search model to identify the sources of gender differentials in the United States. Results show that prejudice may still have a role in explaining the evidence on gender differentials and it is responsible for the reversal of the returns to schooling ranking in recent years.