Download or read book Efficient Estimation of nested logit models An application to trip timing written by Kenneth A. Small and published by . This book was released on 1982 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book EFFICIENT ESTIMATION OF NESTED LOGIT MODELS AN APPLICATION TO TRIP TIMING NL written by Kenneth A. SMALL and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Efficient Estimation of Nested Logit Models written by David M. Brownstone and published by . This book was released on 1985 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stated Choice Methods written by Jordan J. Louviere and published by Cambridge University Press. This book was released on 2000-09-28 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary graduate and practitioner guide, first published in 2000, which offers the theory and application of stated choice methods.
Download or read book Advanced Econometrics written by Takeshi Amemiya and published by Harvard University Press. This book was released on 1985 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main features of this text are a thorough treatment of cross-section models—including qualitative response models, censored and truncated regression models, and Markov and duration models—and a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.
Download or read book Discrete Choice Analysis written by Moshe Ben-Akiva and published by MIT Press. This book was released on 2018-04-20 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Econometric Analysis of Discrete Choice written by Axel Börsch-Supan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a treatise on empirical microeconomics: it describes the econometric theory of qualitative choice models and the empirical practice of modeling consumer demand for a heterogeneous commodity, housing. Accordingly, the book has two parts. The first part gives a self-contained survey of discrete choice models with emphasis on nested and related multinomial logit models. The second part concentrates on three sUbstantive questions about housing demand and how they can be answered using discrete choice models. Why combine these two distinct parts in one book? It is the interaction between theory and application in empirical microeconomics on which we focus in this book. Hence, emphasis in the methodological part is on practicability, and emphasis in the applied part is on the usage of the proper econometric specifications. Econometrics means measuring economic phenomena. Because nature (ironically, in the case of economics, this is most often the government) rarely provides us with well-defined economic experiments, measurement of economic phenomena usually requires an elaborate statistical apparatus that is able to separate concurrent and confounding phenomena. Discrete choice models have proved to be a very convenient apparatus to study the complex issues in housing demand. We present models, techniques, and statistical problems of discrete choice in the first and methodological part of the book, written in conventional textbook style.
Download or read book U S and West German Housing Markets written by K. Stahl and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years countries have taken advantage of one another's experiences in formulating social policies and even in designing specific interventions. Often such transfers have occurred on a fairly casual level; sometimes greater rigor has been present. In either case, the goal has been to learn from previous experience-at least to avoid repeating the mistakes of the past. In light of the promise that such intercountry transfers hold, it is somewhat surprising that so little energy has gone into careful analytic work on the behavior of households in differing countries and how they respond to various changes, especially those resulting from shifts in public policy. This lack of careful analysis was a major force that motivated The Urban Institute to establish an international studies program in 1982. This volume represents one of the early products of the collaborative efforts that this initiative has spawned. The results of the comparison of the housing markets in West Germany and the United States presented here offer examples of the type of unexpected conclusions that may emerge from careful analyses as well as more anticipated outcomes. Despite the many similarities in the economies of the United States and West Germany and the general free-market orientation of their housing sectors, the papers in this volume document important differences in the way households make decisions about their housing and the consequences of these decisions.
Download or read book Determinants of Travel Choice written by David A. Hensher and published by . This book was released on 1978 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Transport written by Juan de Dios Ortúzar S. and published by Wiley-Blackwell. This book was released on 2001 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transport planning, infrastructure project evaluation and policy making, particularly at the urban level, continue to be important issues in the 21st century. Transport modelling requires mathematical techniques in order to make predictions, which can then be utilised in planning and design. This is the basis for improved decision-making and planning in the transport arena. Building on the tremendous success of the previous editions, the new Modelling Transport continues to be the state of the art text in its field. As before, this third edition provides comprehensive and rigorous information and guidance, enabling readers to make practical use of every available technique. Presenting the following features: * A substantially updated section on data collection techniques * An examination of the latest topical modelling approaches, including new material on Probit Model estimation (now possible in practice) and Mixed Logit specification and estimation * New treatment of joint time-of-travel and assignment modelling * Significant new material on Stated Preferences * Added coverage of travel time valuation and, importantly, of the valuation of externalities such as accidents and environmental effects This book is the leader in its subject area, and gives the reader a unique contemporary account of key transport modelling techniques and applications. As before, each subject is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation and application. Techniques are included for selecting the right level of analysis and detail for modelling purposes, as well as how to adapt existing tools to serve the needs of regular updating of models and plans. Graduate and postgraduate students in transport engineering and planning, practicing transport engineers, consultants, planners and professional societies, as well as government agencies and district and city councils will find this an essential and valuable text.
Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Urban Transportation Abstracts written by and published by . This book was released on 1983 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Transport written by Juan de Dios Ortúzar and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Already the market leader in the field, Modelling Transport has become still more indispensible following a thorough and detailed update. Enhancements include two entirely new chapters on modelling for private sector projects and on activity-based modelling; a new section on dynamic assignment and micro-simulation; and sizeable updates to sections on disaggregate modelling and stated preference design and analysis. It also tackles topical issues such as valuation of externalities and the role of GPS in travel time surveys. Providing unrivalled depth and breadth of coverage, each topic is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation and application. The authors present the state of the art and its practical application in a pedagogic manner, easily understandable to both students and practitioners. Follows on from the highly successful third edition universally acknowledged as the leading text on transport modelling techniques and applications Includes two new chapters on modelling for private sector projects and activity based modeling, and numerous updates to existing chapters Incorporates treatment of recent issues and concerns like risk analysis and the dynamic interaction between land use and transport Provides comprehensive and rigorous information and guidance, enabling readers to make practical use of every available technique Relates the topics to new external factors and technologies such as global warming, valuation of externalities and global positioning systems (GPS).
Download or read book The Economics of Urban Transportation written by Kenneth A. Small and published by Taylor & Francis. This book was released on 2024-06-10 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of the seminal textbook The Economics of Urban Transportation incorporates the latest research affecting the design, implementation, pricing, and control of transport systems in towns and cities. The book offers an economic framework for understanding the societal impacts and policy implications of many factors including congestion, traffic safety, climate change, air quality, COVID-19, and newly important developments such as ride-hailing services, electric vehicles, and autonomous vehicles. Rigorous in approach and making use of real-world data and econometric techniques, the third edition features a new chapter on the special challenges of managing the energy that powers transportation systems. It provides fully updated coverage of well-known topics and a rigorous treatment of new ones. All of the basic topics needed to apply economics to urban transportation are included: Forecasting demand for transportation services under various conditions Measuring costs, including those incurred by users and incorporating two new tools to describe congestion in dense urban areas Setting prices under practical constraints Evaluating infrastructure investments Understanding how private and public sectors interact to provide services Written by three of the field’s leading researchers, The Economics of Urban Transportation is essential reading for students, researchers, and practicing professionals in transportation economics, planning, engineering, or related disciplines. With a focus on workable models that can be adapted to future needs, it provides tools for a rapidly changing world.
Download or read book LSMS Working Paper written by and published by . This book was released on 1989 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improved Estimation of Flexible Logit Models and an Extension to a Model with a T distributed Error Kernel written by Prateek Bansal and published by . This book was released on 2019 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding various micro-decisions of travelers (e.g., choice of vehicles, travel modes, or destinations) is of utmost importance in travel demand modeling. After the first application of the multinomial logit model in the early 1970s, micro-econometric models to elicit these type of choices have evolved in mainly two ways: a) computationally efficient estimation (e.g., fast integral approximations); and b) behaviorally defensible models (e.g., modeling preference heterogeneity). This dissertation contributes to both lines of behavior modeling research -- whereas chapters one to three analyze and improve the computational efficiency of flexible logit models and the required approximation of high-dimensional integrals, chapter four derives the first multinomial response model with a t-distributed error kernel that accounts for decision uncertainty behavior of travelers. A summary of each chapter is provided below. In Chapter 1, we extend the logit-mixed logit (LML) model, an advanced semi-parametric specification of preference heterogeneity, to a combination of fixed and random parameters. We show that the likelihood of the LML specification loses its special properties due to the inclusion of fixed parameters, leading to a much higher estimation time. In an empirical application about preferences for alternative fuel vehicles in China, estimation time increased by a factor of 20-40 when introducing fixed parameters. Despite losses in computation efficiency, we show that the flexible LML could retrieve multimodal mixing distributions. In Chapter 2, we derive, implement, and test minorization-maximization (MM) algorithms to estimate the semiparametric LML and mixture-of-normals multinomial logit (MON-MNL) models. In a Monte Carlo study and empirical application to estimate consumer's willingness to adopt electric motorcycles in Indonesia, we compare the maximum simulated likelihood estimator (MSLE) with the derived MM algorithms. Whereas in LML estimation MM is computationally noncompetitive with MSLE, it is a competitive replacement to MSLE for MON-MNL that obviates computation of complex analytical gradients. In Chapter 3, we propose the application of a moment-based designed quadrature (DQ) method to approximate multi-dimensional integrals in MSLE of discrete choice models. The results of simulation study indicate that DQ is a potentially attractive alternative to quasi-Monte Carlo (QMC) because it requires fewer evaluations of the conditional likelihood (i.e., lower computation time) as compared to QMC methods, is as easy to implement, ensures positivity of weights, and can be created on any general polynomial spaces. Finally, we validate the performance of DQ on a case study to understand preferences for mobility-on-demand services in New York City. In Chapter 4, we demonstrate that using a t-distributed error kernel in multinomial choice models helps in better predicting the preferences in class-imbalance datasets. This specification also implicitly accounts for the consumers' decision uncertainty behavior. Because of these statistical and behavioral advantages, we derive the first multinomial response model with a t-distributed error kernel and extend this to a generalized continuous-multinomial (GCM) model. In the empirical stu.
Download or read book Econometrics written by Bruce Hansen and published by Princeton University Press. This book was released on 2022-06-28 with total page 1081 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most authoritative and up-to-date core econometrics textbook available Econometrics is the quantitative language of economic theory, analysis, and empirical work, and it has become a cornerstone of graduate economics programs. Econometrics provides graduate and PhD students with an essential introduction to this foundational subject in economics and serves as an invaluable reference for researchers and practitioners. This comprehensive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of econometrics. Covers the full breadth of econometric theory and methods with mathematical rigor while emphasizing intuitive explanations that are accessible to students of all backgrounds Draws on integrated, research-level datasets, provided on an accompanying website Discusses linear econometrics, time series, panel data, nonparametric methods, nonlinear econometric models, and modern machine learning Features hundreds of exercises that enable students to learn by doing Includes in-depth appendices on matrix algebra and useful inequalities and a wealth of real-world examples Can serve as a core textbook for a first-year PhD course in econometrics and as a follow-up to Bruce E. Hansen’s Probability and Statistics for Economists
