
Macroeconometric models, in many ways the flagships of the economist's profession in the 1960s, came under increasing attack from both theoretical economist and practitioners in the late 1970s. Critics referred to their lack of microeconomic theoretical foundations, ad hoc models of expectations, lack of identification, neglect of dynamics and non-stationarity, and poor forecasting properties. By the start of the 1990s, the status of macroeconometric models had declined markedly, and had fallen completely out of, and with, academic economics. Nevertheless, unlike the dinosaurs to which they often have been likened, macroeconometric models have never completely disappeared from the scene. This book describes how and why the discipline of macroeconometric modelling continues to play a role for economic policymaking by adapting to changing demands, in response, for instance, to new policy regimes like inflation targeting. Model builders have adopted new insights from economic theory and taken advantage of the methodological and conceptual advances within time series econometrics over the last twenty years. The modelling of wages and prices takes a central part in the book as the authors interpret and evaluate the last forty years of international research experience in the light of the Norwegian 'main course' model of inflation in a small open economy. The preferred model is a dynamic model of incomplete competition, which is evaluated against alternatives as diverse as the Phillips curve, Nickell-Layard wage curves, the New Keynesian Phillips curve, and monetary inflation models on data from the Euro area, the UK, and Norway. The wage price core model is built into a small econometric model for Norway to analyse the transmission mechanism and to evaluate monetary policy rules. The final chapter explores the main sources of forecast failure likely to occur in a practical modelling situation, using the large-scale nodel RIMINI and the inflation models of earlier chapters as case studies
Download (Скачать) Gunnar Bardsen, Oyvind Eitrheim, Eilev S. Jansen, Ragnar Nymoen, "The Econometrics of Macroeconomic Modelling"
18 Dec 2007
Gunnar Bardsen, Oyvind Eitrheim, Eilev S. Jansen, Ragnar Nymoen, "The Econometrics of Macroeconomic Modelling"
15 Dec 2007
Lucio Sarno , Mark P. Taylor, Jeffery A. Frankel, "The Economics of Exchange Rates"

This book is a survey of exchange-rate economics. Using the latest econometric techniques, it covers the main theories that explain the determination of exchange rates and utilizes recent empirical data on exchange rate behavior.
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10 Dec 2007
Subal C. Kumbhakar, C. A. Knox Lovell, "Stochastic Frontier Analysis"

Review
"Every so often a book is written that pulls together a large subject matter in an accessible way, covering both theoretical and applied developments. This is such a book." Journal of Economic Literature
Book Description
This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis
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8 Dec 2007
James J. Heckman, Edward Leamer, "Handbook of Econometrics, Volume 6A"

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6B offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.
*Part of the renown Handbooks in Economics series
*Updates and expands the exisiting Handbook of Econometrics volumes
*An invaluable reference written by some of the world's leading econometricians.
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James J. Heckman, Edward Leamer, "Handbook of Econometrics, Volume 6B"

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6A offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.
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13 Nov 2007
Terence C. Mills, "The Econometric Modelling of Financial Time Series "

Fully revised and updated, the second edition of the best-selling The Econometric Modelling of Financial Time Series provides comprehensive coverage of the variety of models currently used in the empirical analysis of financial markets. Covering bond, equity and financial markets, it is essential for scholars and practitioners wishing to acquire an understanding of the latest research techniques and findings in the field, and also graduate students wishing to research in financial markets. It provides many examples to illustrate techniques that are only just emerging in the technical literature.
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Labels: Econometrics, Finance
8 Nov 2007
Gebhard Kirchgässner, Jürgen Wolters, "Introduction to Modern Time Series Analysis"

This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series. It attempts to bridge the gap between methods and realistic applications. This book contains the most important approaches to analyse time series which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series Granger causality tests and vector autoregressive models are presented. For real applied work the modelling of nonstationary uni- or multivariate time series is most important. Therefore, unit root and cointegration analysis as well as vector error correction models play a central part. Modelling volatilities of financial time series with autoregressive conditional heteroskedastic models is also treated.
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6 Nov 2007
Neil Shephard , "Stochastic Volatility: Selected Readings (Advanced Texts in Econometrics)"

Stochastic volatility is the main concept used in the fields of financial economics and mathematical finance to deal with time-varying volatility in financial markets. This book brings together some of the main papers that have influenced the field of the econometrics of stochastic volatility, and shows that the development of this subject has been highly multidisciplinary, with results drawn from financial economics, probability theory, and econometrics, blending to produce methods and models that have aided our understanding of the realistic pricing of options, efficient asset allocation, and accurate risk assessment. A lengthy introduction by the editor connects the papers with the literature.
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21 Sept 2007
Wooldridge J. M. Introductory econometrics : a modern approach

The modern approach of this text recognizes that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.
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Labels: Econometrics