This unorthodox book derives and tests a simple theory of economic time series using several well-known empirical economic puzzles, from stock market bubbles to the failure of conventional economic theory, to explain low levels of inflation and unemployment in the US.

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances in the area including contributions covering cross-sectional studies of income distribution and discrete choice models, time series models of exchange rate...

Edward E. Leamer’s creative and influential essays on the separation of robust from fragile inferences are collected together in Sturdy Econometrics. The econometric topics discussed include the choice of variables, choice of error process, measurement errors, simultaneity, the partial...

This title features work on variance components model, its extensions and applications, estimation of variances, dynamic models, instrumental variable estimators and random coefficient models. The second volume covers errors in variables and incomplete data, specification tests, limited...

This two volume set is a collection of 30 classic papers presenting ideas which have now become standard in the field of Bayesian inference. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory, utility...

This selection of Professor Dhrymes’s major papers combines important contributions to econometric theory with a series of well-thought out, skilfully executed empirical studies. The theoretical papers focus on such issues as the general linear model, simultaneous equations models, distributed...

Ragnar Frisch (1895–1973) played a major role in the foundation of econometrics as a discipline. Joint winner with Jan Tinbergen of the first Nobel prize in economics, he exerted a strong influence both on its development in the 1930s and, as editor of Econometrica for more than twenty...

The widespread use of fuzzy set theory in almost every science attests to its intuitive appeal and the powerful insights it offers. Despite its relevance as a tool for evaluating non-stochastic behavioural uncertainty and its clear applicability to the business world, fuzzy mathematics has yet...