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Author: Publisher: ISBN: 0195356438 Category : Consumer behavior Languages : en Pages : 234
Book Description
This study of demand analysis links economic theory to empirical analysis. It demonstrates how theory can be used to specify equation systems suitable for empirical analysis, and discusses demand systems estimation using both per capita time series and household budget data.
Author: Publisher: ISBN: 0195356438 Category : Consumer behavior Languages : en Pages : 234
Book Description
This study of demand analysis links economic theory to empirical analysis. It demonstrates how theory can be used to specify equation systems suitable for empirical analysis, and discusses demand systems estimation using both per capita time series and household budget data.
Author: Robert A. Pollak Publisher: Oxford University Press, USA ISBN: 0195101219 Category : Consumer behavior Languages : en Pages : 232
Book Description
This study of demand analysis links economic theory to empirical analysis. It demonstrates how theory can be used to specify equation systems suitable for empirical analysis, and discusses demand systems estimation using both per capita time series and hou
Author: Robert A. Pollak Publisher: Oxford University Press ISBN: 0198023405 Category : Business & Economics Languages : en Pages : 232
Book Description
This book explores the principal issues involved in bridging the gap between the pure theory of consumer behavior and its empirical implementation. The theoretical starting point is the familiar static, one-period, utility maximizing model in which the consumer allocates a fixed budget among competing categories of goods. The authors focus upon four issues of primary importance in empirical demand analysis: the structure of preferences, the treatment of demographic variables, treatment of dynamics, and the specification of the stochastic structure of the demand system.
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: Barry K. Goodwin Publisher: ISBN: 9781642952742 Category : Computers Languages : en Pages : 180
Book Description
Using Applied Econometrics with SAS: Modeling Demand, Supply, and Risk, you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics--demand, supply, and risk--a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following: Double-log demand systems Linear expenditure systems Almost ideal demand systems Rotterdam models Random parameters logit demand models Frequency-severity models Compound distribution models Cobb-Douglas production functions Translogarithmic cost functions Generalized Leontief cost functions Density estimation techniques Copula models SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others: PROC MODEL PROC COPULA PROC SEVERITY PROC KDE PROC LOGISTIC PROC HPCDM PROC IML PROC REG PROC COUNTREG PROC QLIM An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. Examples are drawn from both major scholarly studies and business applications so that professors, graduate students, government economic researchers, agricultural analysts, actuaries, and underwriters, among others, will immediately benefit.
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: Asian Development Bank Publisher: Asian Development Bank ISBN: 9292622234 Category : Business & Economics Languages : en Pages : 152
Book Description
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Author: Moshe E. Ben-Akiva Publisher: MIT Press ISBN: 9780262022170 Category : Architecture Languages : en Pages : 424
Book Description
Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.
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Author: 
Author: Robert A. Pollak
Author: Robert A. Pollak
Author: Stanley R. Johnson
Author: Matthew Shum
Author: Barry K. Goodwin
Author: Kenneth Train
Author: Brian P. Poi
Author: Asian Development Bank
Author: Moshe E. Ben-Akiva