The first number of our earlier series, A Programme for Growth, carried a notice of forthcoming papers. Five were announced but eventually only four were published. The fifth, which was intended to deal with consumption functions, never appeared; now it takes its place as number one in the new series. It is not that ten years ago we had nothing to say on the subject of consumers' behaviour. The crude estimation method that I had used in my original (1954) paper on the linear expenditure system gave interesting and in many respects satisfactory results, some of which were published outside our series, for instance in Stone, Brown and ). With this method the parameter estimates changed Rowe ( 1964 very little after the first few iterations. Nevertheless they did change, and with the computing resources then at our disposal we failed to reach convergence. It was mainly for this reason that we decided to wait.

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

This book comprises ten carefully chosen, up-to-date and comprehensive surveys on econometrics taken from the prestigious Journal of Economic Surveys. The contributions are accessible to technically competent students and those wishing to develop an interest in current econometric issues.
Issues covered include
* Debates on econometric methodology
* Pre-testing
* Diagnostic checks
* Cointegration and unit roots
* Error correction mechanisms
* Nonparametric/semiparametric estimation
This collectioin bridges the gap between a textbook and specialist journal contributions and i a unique resource for advanced undergraduate and postgraduate students on quantitative/econometrics courses.

At this point in time, there is no generally accepted methodology for explaining and predicting human behavior given a product choice situation. This is true despite the critical importance of such meth odology to marketing, transportation and urban planning. While the social sciences provide numerous theories to be tested and the mathe matical and statistical procedures exist in general to do so, at this point, no single unified theory has emerged. It is generally accepted that to explain product choice behav ior, products must be described in terms of attributes. Using anyone of a number of procedures, it is possible to obtain measurements on the attributes of the products under consideration. However, there is no generally accepted methodology. Given the attribute profiles of two products, in order to explain and predict preference, it is necessary to determine the relative importance of each of the product attributes. Once again, there is no generally accepted methodology. There are two basic approaches: The first, called the attitudinal approach, obtains importance measure ments directly from respondents using one of many scaling techniques; the second, termed the inferential method endeavors to infer impor tances from product preference and attribute data. Since it is gen erally felt that respondents are unwilling and/or unable to provide meaningful importance measurements, the inferential method is most widely accepted."

This book reports the results of five empirical studies undertaken in the early seventies by a collaboration headed by Professor Morishima. It deals with applications of the general equilibrium models whose theoretical aspects have been one of Professor Morishima's main interests. Four main econometric models are constructed for the USA, the UK, and Japan. These are used as a basis for the discussion of various topics in economic theory, such as: the existence and stability or instability of the neoclassical path of full employment growth equilibrium and a von Neumann-type path of balanced growth at constant proces; the antimony between price-stability and full employment; the Samuelson-LeChatelier principle; the theory of the balanced-budget multiplier; the three Hicksian laws of the gross substitutes system; the Brown-Jones super-multipliers of international trade, and so on. In addition, this 1972 work makes a quantitative evaluation for the US economy of monetary and fiscal policies as short-run measures for achieving full employment; the effectiveness of built-in flexibility of taxes in the UK economy is discussed; and estimates are made of the rapid decrease in disguised unemployment in post-war Japan.

These essays in honor of Professor Gerhard Tintner are substantive contributions to three areas of econometrics, (1) economic models and applications, . (2) estimation, and (3) stochastic programming, in each of which he has labored with outstanding success. His own work has extended into multivariate analysis, the pure theory of decision-making under un certainty, and other fields which are not touched upon here for reasons of space and focus. Thus, this collection is appropriate to his interests but covers much less than their full range. Professor Tintner's contributions to econometrics through teaching, writing, editing, lecturing and consulting have been varied and inter national. We have tried to highlight them in "The Econometric Work of Gerhard Tintner" and to place them in historical perspective in "The Invisible Revolution in Economics: Emergence of a Mathematical Science. " Professor Tintner's career to date has spanned the organizational life of the Econometric Society and his contributions have been nearly coextensive with its scope. His principal books and articles up to 1968 are listed in the "Selected Bibliography. " Professor Tintner's current research involves the intricate problems of specification and application of stochastic processes to economic systems, particularly to growth, diffusion of technology, and optimal control. As always, he is moving with the econometric frontier and a portion of the frontier is moving with him. IV Two of the editors wrote dissertations under Professor Tintner's sup- vision; the third knew him as a colleague and friend."

Originating from the International Network for Economic Method conference, hosted by the Erasmus Institute for Economics and Philosophy (EIPE) at the Erasmus University Rotterdam in 2013, this book chooses key themes that reflect on fascinating new developments in the philosophy of economics. Contributions discuss new avenues and debates in important and upcoming areas, such as the philosophy of economic policy making, decision theory, ethics, and new questions in economic methodology. The book offers an excellent insight into cutting edge research in these fields that are about to shape the future of the philosophy of economics. This book was originally published as a special issue of The Journal of Economic Methodology.

This book provides an analytical and computational approach to solving and simulating the Mahalanobis model and the papers surrounding it. The book comes up, perhaps for the first time, with a holistic examination of an important growth model that emerged out of India in the 1950s. It contains detailed derivations of the Mahalanobis model and the several critiques and extensions surrounding it with an organized synthesis of the main results. Computationally, the book simulates the model and its many variants, thus making it accessible to a wider audience. Advanced undergraduates and beginning graduate students in the fields of Economics, Mathematics, and Statistics will gain immensely from understanding both the mathematical aspects as well as the computational aspects of the Mahalanobis model. In the absence of a single 'go-to' source on all aspects of the model -- analytical and computational -- this book is a definitive volume on the Mahalanobis model that has all the derivations of all the papers surrounding the model, its dissents and critiques, and extensions as in the wage goods model suggested by Vakil and Brahmananda.

Originally published in 1974. This book provides a rigorous and detailed introductory treatment of the theory of difference equations and their applications in the construction and analysis of dynamic economic models. It explains the theory of linear difference equations and various types of dynamic economic models are then analysed. Including plenty of examples of application throughout the text, it will be of use to those working in macroeconomics and econometrics.

It is very useful and timely book as demand forecasting has become a very crucial tool and provides important information for destination on which policy are created and implemented. This is especially important given the complexities arising the aftermath of the Covid19 pandemic. * It looks at novel and recent developments in this field including judgement and scenario forecasting. * Offers a comprehensive approach to tourism econometrics, looking at a variety of aspects. * The authors are experts in this field and of the highest academic calibre.

Originally published in 1981. Discrete-choice modelling is an area of econometrics where significant advances have been made at the research level. This book presents an overview of these advances, explaining the theory underlying the model, and explores its various applications. It shows how operational choice models can be used, and how they are particularly useful for a better understanding of consumer demand theory. It discusses particular problems connected with the model and its use, and reports on the authors' own empirical research. This is a comprehensive survey of research developments in discrete choice modelling and its applications.

In this new and expanding area, Tony Lancaster's text is the first comprehensive introduction to the Bayesian way of doing applied economics.
Uses clear explanations and practical illustrations and problems to present innovative, computer-intensive ways for applied economists to use the Bayesian method;
Emphasizes computation and the study of probability distributions by computer sampling;
Covers all the standard econometric models, including linear and non-linear regression using cross-sectional, time series, and panel data;
Details causal inference and inference about structural econometric models;
Includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software
Supported by online supplements, including Data Sets and Solutions to Problems, at www.blackwellpublishing.com/lancaster

A ground-breaking book that reveals why our human biases affect the way we receive and interpret information

Our lives are minefields of misinformation. Stories, statistics and studies lie to us on a daily basis. Not only this but, as Professor Alex Edmans reveals, our brains lie to us too. He argues that we need to acknowledge and understand the role that our own human biases play in interpreting and digesting the information that we consume. It's only when we do, that we can actively resist being manipulated, and make informed decisions that improve our lives.

This title, first published in 1984, is a contribution to applied international trade theory. The author explores the specification and estimation of a multisector general equilibrium model of the open economy. The model is formulated with the aim of assessing empirically the effects of three key policy variables on trade flows, domestic prices, and the trade balance. The policy variables with which the author is concerned are the rate of growth of the stock of domestic credit, commercial policy, as represented by tariffs, and, finally, the exchange rate. This title will be of interest to students of economics.

This book constitutes the first serious attempt to explain the basics of econometrics and its applications in the clearest and simplest manner possible. Recognising the fact that a good level of mathematics is no longer a necessary prerequisite for economics/financial economics undergraduate and postgraduate programmes, it introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complex nature.

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book s accompanying website.

This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.

Now in its third edition, Essential Econometric Techniques: A Guide to Concepts and Applications is a concise, student-friendly textbook which provides an introductory grounding in econometrics, with an emphasis on the proper application and interpretation of results. Drawing on the author's extensive teaching experience, this book offers intuitive explanations of concepts such as heteroskedasticity and serial correlation, and provides step-by-step overviews of each key topic. This new edition contains more applications, brings in new material including a dedicated chapter on panel data techniques, and moves the theoretical proofs to appendices. After Chapter 7, students will be able to design and conduct rudimentary econometric research. The next chapters cover multicollinearity, heteroskedasticity, and autocorrelation, followed by techniques for time-series analysis and panel data. Excel data sets for the end-of-chapter problems are available as a digital supplement. A solutions manual is also available for instructors, as well as PowerPoint slides for each chapter. Essential Econometric Techniques shows students how economic hypotheses can be questioned and tested using real-world data, and is the ideal supplementary text for all introductory econometrics courses.

Stochastic Limit Theory, published in 1994, has become a standard reference in its field. Now reissued in a new edition, offering updated and improved results and an extended range of topics, Davidson surveys asymptotic (large-sample) distribution theory with applications to econometrics, with particular emphasis on the problems of time dependence and heterogeneity. The book is designed to be useful on two levels. First, as a textbook and reference work, giving definitions of the relevant mathematical concepts, statements, and proofs of the important results from the probability literature, and numerous examples; and second, as an account of recent work in the field of particular interest to econometricians. It is virtually self-contained, with all but the most basic technical prerequisites being explained in their context; mathematical topics include measure theory, integration, metric spaces, and topology, with applications to random variables, and an extended treatment of conditional probability. Other subjects treated include: stochastic processes, mixing processes, martingales, mixingales, and near-epoch dependence; the weak and strong laws of large numbers; weak convergence; and central limit theorems for nonstationary and dependent processes. The functional central limit theorem and its ramifications are covered in detail, including an account of the theoretical underpinnings (the weak convergence of measures on metric spaces), Brownian motion, the multivariate invariance principle, and convergence to stochastic integrals. This material is of special relevance to the theory of cointegration. The new edition gives updated and improved versions of many of the results and extends the coverage of many topics, in particular the theory of convergence to alpha-stable limits of processes with infinite variance.

Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results. Structured in five parts, the book covers financial data and univariate models; asset returns; interest rates, yields and spreads; volatility and correlation; and corporate finance and policy. Each chapter begins with a theory in financial economics, followed by econometric methodologies which have been used to explore the theory. Next, the chapter presents empirical evidence and discusses seminal papers on the topic. Boxes offer insights on how an idea can be applied to other disciplines such as management, marketing and medicine, showing the relevance of the material beyond finance. Readers are supported with plenty of worked examples and intuitive explanations throughout the book, while key takeaways, 'test your knowledge' and 'test your intuition' features at the end of each chapter also aid student learning. Digital supplements including PowerPoint slides, computer codes supplements, an Instructor's Manual and Solutions Manual are available for instructors. This textbook is suitable for upper-level undergraduate and graduate courses on financial economics, financial econometrics, empirical finance and related quantitative areas.

Accident law, if properly designed, is capable of reducing the incidence of mishaps by making people act more cautiously. Scholarly writing on this branch of law traditionally has been concerned with examining the law for consistency with felt notions of right and duty. Since the l960s, however, a group of legal scholars and economists have focused on identifying the effects of accident law on people's behavior. Steven Shavell's book is the definitive synthesis of research to date in this new field. Shavell explains, systematically and rigorously, the major doctrines of accident law and shows how each can be analyzed and evaluated on the basis of models that predict the conduct of "rational" parties in the face of various incentives. Many of the issues he raises have heretofore received little attention, particularly the role of the insurance system and the way ownership of insurance alters behavior and the distribution of accident losses. Shavell also examines the costs of operating the liability system and looks at alternative methods of managing risk, such as governmental regulation of safety. Unmatched in its comprehensiveness, this book will be relied on as a general reference and used as a framework for evaluating and reforming the current system of accident law. "Economic Analysis of Accident Law" is accessible to a wide audience: the text can be understood by students and scholars who have no specialized knowledge, and economists will benefit from the formal version of the text presented in mathematical appendixes following each chapter.