The econometric analysis of time series

Business & Money

Andrew C. Harvey

Economics

Philip Allan Publishers Ltd.

Time Series Models is a companion volume to Andrew Harvey's highly successful Econometric Analysis of Time Series. It takes students to another level from the first book, focusing on the estimation, testing, and specification of both univariate and multivariate time series models. The emphasis is on understanding how time series are analyzed and models constructed. Familiarity with calculus, linear algebra, and statistical interference is assumed.  Although Time Series Models pairs well with Harvey's earlier text, it is self-contained. For the second edition, the author has added new sections on nonlinear models, unit roots, structural time series models, intervention analysis, and cointegration. He has addressed new developments, rearranged some material, and changed the emphasis in certain areas.  Andrew C. Harvey is Professor of Econometrics in the Department of Statistics and Mathematical Sciences at the London School of Economics and Political Science.

Time Series Models

HARVEY

Data, Models and Statistical Analysis

R.A. Cooper

The rational expectations revolution in macroeconomics: Theories and evidence

David K. H. Begg

Introduction to microeconomics

Laidler, David E.W.

An approach to econometrics

Allard, R. J

Managerial economics

W. Duncan Reekie

Statistics Workbook for Social Science Students

M.F. Fuller

Measuring inequality

What do we mean by inequality comparisons? If the rich just get richer and the poor get poorer, the answer might seem easy. But what if the income distribution changes in a complicated way? Can we use mathematical or statistical techniques to simplify the comparison problem in a way that has economic meaning? What does it mean to measure inequality? Is it similar to National Income? Or a price index? Is it enough just to work out the Gini coefficient?Measuring Inequality tackles these questions and examines the underlying principles of inequality measurement and its relation to welfare economics, distributional analysis, and information theory. The book covers modern theoretical developments in inequality analysis, as well as showing how the way we think about inequality today has been shaped by classic contributions in economics and related disciplines. Formal results and detailed literature discussion are provided in two appendices. The principal points are illustrated in the main text, using examples from US and UK data, as well as other data sources, and associated web materials provide hands-on learning. Measuring Inequality is designed to appeal to both undergraduate and post-graduate students, and academic economists. Its emphasis on practical application means that it will also be useful to policy analysts and advisors.

Unknown, Author

This reassessment of J.M. Keynes's The General Theory of Employment, Interest and Money results from the author's experience in using Keynes's book as the core of her macroeconomics courses for undergraduates. It is intended to encourage others to bring the General Theory back into mainstream teaching, because it "gives a far richer understanding of the structure of macroeconomic interactions and methods of analysing them than much of what has been written since."

Macroeconomics After Keynes: Reconsideration of the General Theory

Chick, Victoria

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