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Author: Publisher: Elsevier ISBN: 0323915140 Category : Social Science Languages : en Pages : 788
Book Description
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: Publisher: Elsevier ISBN: 0323915140 Category : Social Science Languages : en Pages : 788
Book Description
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: Ali Hortaçsu Publisher: Princeton University Press ISBN: 0691243468 Category : Business & Economics Languages : en Pages : 280
Book Description
"Within economics a relatively new way of modeling has dominated important subfields: structural modeling. The goal of this book is to give an overview on how the various streams of literatures in empirical industrial organization and quantitative marketing use structural econometric modeling to estimate the model parameters, give the economic-model-based predictions, and conduct the policy counterfactual experiments. The traditional way of modelling, called "reduced-form" builds its models from simple relationships between variables of interests, which are mostly linear. Structural econometric models start by specifying the structure of the economic model, and the variables are calibrated from real-world data. This method enables better predictions and policy counterfactuals, and has other benefits. When considering a hypothetical policy change using the traditional modeling method ("reduced form"), researchers can often only estimate whether an effect would be positive or negative. With a structural econometric model using real-world data, a researcher can obtain the magnitude of the effects resulting from a hypothetical change. But the ability of quantifying the effects associated with a hypothetical policy change comes with its costs: the nonlinearity from explicitly specifying the possible relationships makes the structural econometric approach generally much more difficult to implement than its reduced-form counterpart. Therefore this book will provide a much-needed resource on how to use these methods effectively in the fields in which they been used the most, empirical industrial organization and quantitative marketing"--
Author: Roger Koenker Publisher: CRC Press ISBN: 1498725295 Category : Mathematics Languages : en Pages : 463
Book Description
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss. Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments. The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings. The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.
Author: Simon P. Anderson Publisher: Elsevier ISBN: 0444636951 Category : Business & Economics Languages : en Pages : 820
Book Description
Handbook of Media Economics provides valuable information on a unique field that has its own theories, evidence, and policies. Understanding the media is important for society, and while new technologies are altering the media, they are also affecting our understanding of their economics. Chapters span the large scope of media economics, simultaneously offering in-depth analysis of particular topics, including the economics of why media are important, how media work (including financing sources, institutional settings, and regulation), what determines media content (including media bias), and the effects of new technologies. The volumes provide a powerful introduction for those interested in starting research in media economics. - Helps academic and non-academic economists understand recent rapid changes in theoretical and empirical advances, in structural empirical methods, and in the media industry's connection with the democratic process - Presents the only detailed summary of media economics that emphasizes political economy, merger policy, and competition policy - Pays special attention to the economic influences of the Internet, including developments in social media, user-generated content, and advertising, as well as the Internet's effects on newspapers, radio, and television
Author: Jeffrey Racine Publisher: Oxford University Press ISBN: 0199857946 Category : Business & Economics Languages : en Pages : 562
Book Description
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.
Author: Simon P. Anderson Publisher: Elsevier ISBN: 0444627243 Category : Business & Economics Languages : en Pages : 563
Book Description
Handbook of Media Economics provides valuable information on a unique field that has its own theories, evidence, and policies. Understanding the media is important for society, and while new technologies are altering the media, they are also affecting our understanding of their economics. The book spans the large scope of media economics, simultaneously offering in-depth analysis of particular topics, including the economics of why media are important, how media work (including financing sources, institutional settings, and regulation), what determines media content (including media bias), and the effects of new technologies. The book provides a powerful introduction for those interested in starting research in media economics. - Helps academic and non-academic economists understand recent rapid changes in theoretical and empirical advances, in structural empirical methods, and in the media industry's connection with the democratic process - Presents the only detailed summary of media economics that emphasizes political economy, merger policy, and competition policy - Pays special attention to the economic influences of the Internet, including developments in social media, user-generated content, and advertising, as well as the Internet's effects on newspapers, radio, and television
Author: Matthew Shum Publisher: World Scientific ISBN: 981310967X Category : Business & Economics Languages : en Pages : 154
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.
Author: Kenneth Train Publisher: Cambridge University Press ISBN: 0521766559 Category : Business & Economics Languages : en Pages : 399
Book Description
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.
Author: Marcela Eslava Publisher: Brookings Institution Press ISBN: 0815737041 Category : Business & Economics Languages : en Pages : 225
Book Description
This semiannual journal from the Latin American and Caribbean Economic Association (LACEA) provides a forum for influential economists and policymakers from the region to share high-quality research directly applied to policy issues within and among those countries. Contents: 1. Cash Transfers in Latin America: Effects on Poverty and Redistribution Verónica Amarante and Martín Brun 2. How Sensitive Is Regional Poverty Measurement in Latin America to the Value of the Poverty Line? R. Andrés Castañeda, Santiago Garriga, Leonardo Gasparini, Leonardo R. Lucchetti, and Daniel Valderrama 3. Homicides and the Age of Criminal Responsibility: A Density Discontinuity Approach Francisco J. M. Costa, João S. de Faria, Felipe S. Iachan, and Bárbara Caballero 4. Fool’s Gold: The Impact of Venezuelan Currency Devaluations on Multinational Stock Prices Dany Bahar, Carlos A. Molina, and Miguel Angel Santos 5. Downward Wage Rigidities in the Mexican Labor Market: 1996–2011 Laura Juarez and Daniel Casarin de la Cabada 6. I Sell My Vote, and So What? Incidence, Social Bias, and Correlates of Clientelism in Colombia Leopoldo Fergusson, Carlos Molina, and Juan Felipe Riaño
Author: Peter Rossi Publisher: Princeton University Press ISBN: 0691145326 Category : Business & Economics Languages : en Pages : 218
Book Description
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.
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Author: Ali Hortaçsu
Author: Roger Koenker
Author: Simon P. Anderson
Author: Jeffrey Racine
Author: Simon P. Anderson
Author: Matthew Shum
Author: Kenneth Train
Author: Marcela Eslava
Author: Peter Rossi