Economic Theory, Econometrics, and Mathematical Economics: Quantitative Economics and Development: Essays in Memory of Ta-Chung Liu focuses on the advancements in the methodologies and processes in the field of quantitative economics. The selection first offers information on society, politics, and economic development, global stability of stochastic economic processes, and the design of mechanisms for the efficient allocation of public goods. Discussions focus on the design of individually incentive compatible mechanisms in an abstract setting, design problem under coalition formation, stability results for the economic models, invariant measures for diffusions, and disjoint principal-components method. The text then takes a look at critical observations on the labor theory of value and Sraffa's Standard Commodity and a generalization of Hotelling's solution. The manuscript examines an exploratory policy-oriented econometric model of a metropolitan area and the effect of simple specification error on the coefficients of "unaffected" variables, including distinctive features of the model and individual sectoral models. Temporal aggregation and econometric models; uniqueness of the representation of commodity-augmenting technical change; and technological change and growth performance in Taiwan agriculture are also discussed. The selection is a valuable source of data for economists and readers interested in quantitative economics.

This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.

This book is the first quantitative description of Europe’s economic development at a regional level over the entire twentieth century. Based on a new and comprehensive set of data, it brings together a group of leading economic historians in order to describe and analyze the development of European regions, both for nation states and for Europe as a whole. This provides a new transnational perspective on Europe’s quantitative development, offering for the first time a systematic long-run analysis of national policies independent from the use of national statistical units. The new transnational dimension of data allows for the analysis of national policies in a more thorough way than ever before. The book provides a comprehensive database at the level of modern NUTS 2 regions for the period 1900–2010 in 10-year intervals, and a panoramic view of economic development both below and above the national level. It will be of great interest to economic historians, economic geographers, development economists and those with an interest in economic growth.

The purpose of the Special Issue “Quantitative Methods in Economics and Finance” of the journal Risks was to provide a collection of papers that reflect the latest research and problems of pricing complex derivates, simulation pricing, analysis of financial markets, and volatility of exchange rates in the international context. This book can be used as a reference for academicians and researchers who would like to discuss and introduce new developments in the field of quantitative methods in economics and finance and explore applications of quantitative methods in other business areas.

An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics. In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation. The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation.

About the Book: The revised second edition thoroughly explains the basic methods and techniques involved in mathematical analysis of economic phenomena. Statistical methods have been emphasized. Numerous new concepts, solved examples and illustrative practice problems have been included throughout the book. In addition, few new chapters have been added to enrich the quality of text as well. About the Author: Dr. R. Veerachamy was formerly Professor and Chairman in the Department of Economics, Bangalore University, Bangalore. He has put in 37 years of teaching on Quantitative Techniques for both Economics and Management students. His book "Quantitative Methods for Economists" is a very popular text among student community all over the country. Since 1973 he is handling the paper "Quantitative Methods for Economists" for the postgraduate students in Bangalore University. He has obtained his MSc. degree in Mathematical Economics from Madurai Kamaraj University and also has MA Economics degree as well from the same University to his credit. He is a First Rank Gold Medalist in Econometrics. He received his Ph.D. in the area of International Economics from Bangalore University. He has contributed research papers/articles in several journals of repute. He has vast experience in curriculum development for both MA and MBA courses. Currently he is working as a Professor, Department of Management Studies, East Point College of Higher Education, Bangalore.

A report based on a workshop held in 1998 at which outside research specialists and World Bank staff discussed the importance of integrating quantitative and qualitative research methods and reviewed experiences in the use of mixed method approaches in Bank research and project design.