Nonlinear Econometric Modeling in Time Series


Book Description

This book presents some of the more recent developments in nonlinear time series, including Bayesian analysis and cointegration tests.




Dynamic Disequilibrium Modeling: Theory and Applications


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. The organizers of the ninth symposium, which produced the current proceedings volume, were Claude Hillinger at the University of Munich, Giancarlo Gandolfo at the University of Rome "La Sapienza," A. R. Bergstrom at the University of Essex, and P. C. B. Phillips at Yale University.




The Demand for Money


Book Description

Almost half a century has elapsed since the demand for money began to attract widespread attention from economists and econometricians, and it has been a topic of ongoing controversy and research ever since. Interest in the topic stemmed from three principal sources. First of all, there was the matter of the internal dynamics of macroeco nomics, to which Harry Johnson drew attention in his 1971 Ely Lecture on "The Keynesian Revolution and the Monetarist Counter-Revolution," American Economic Review 61 (May 1971). The main lesson about money that had been drawn from the so-called "Keynesian Revolution" was - rightly or wrongly - that it didn't matter all that much. The inherited wisdom that undergraduates absorbed in the 1950s was that macroeconomics was above all about the determination of income and employment, that the critical factors here were saving and investment decisions, and that monetary factors, to the extent that they mattered at all, only had an influence on these all important variables through a rather narrow range of market interest rates. Conventional wisdom never goes unchallenged in economics, except where its creators manage to control access to graduate schools and the journals, and it is with no cynical intent that I confirm Johnson's suggestion that those of us who embarked on academic careers in the '60s found in this wisdom a ready-made target.




Getting it Wrong


Book Description

A leading economist contends that the recent financial crisis was caused not by the failure of mainstream economics but by corrupted monetary data constructed without reference to economics. Blame for the recent financial crisis and subsequent recession has commonly been assigned to everyone from Wall Street firms to individual homeowners. It has been widely argued that the crisis and recession were caused by “greed” and the failure of mainstream economics. In Getting It Wrong, leading economist William Barnett argues instead that there was too little use of the relevant economics, especially from the literature on economic measurement. Barnett contends that as financial instruments became more complex, the simple-sum monetary aggregation formulas used by central banks, including the U.S. Federal Reserve, became obsolete. Instead, a major increase in public availability of best-practice data was needed. Households, firms, and governments, lacking the requisite information, incorrectly assessed systemic risk and significantly increased their leverage and risk-taking activities. Better financial data, Barnett argues, could have signaled the misperceptions and prevented the erroneous systemic-risk assessments. When extensive, best-practice information is not available from the central bank, increased regulation can constrain the adverse consequences of ill-informed decisions. Instead, there was deregulation. The result, Barnett argues, was a worst-case toxic mix: increasing complexity of financial instruments, inadequate and poor-quality data, and declining regulation. Following his accessible narrative of the deep causes of the crisis and the long history of private and public errors, Barnett provides technical appendixes, containing the mathematical analysis supporting his arguments.







Review


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Artha Vijñāna


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Social Sciences Index


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