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Creator: Geweke, John Series: New methods in business cycle research Abstract:
A simple stochastic model of the firm is constructed in which a dynamic monopolist who maximizes a discounted profits stream subject to labor adjustment costs and given factor prices sets output price as a distributed lag of past wages and input prices. If the observed relation of wages and prices in manufacturing arises solely from this behavior then wages and input prices are exogenous with respect to output prices. In tests using quarterly and monthly series for the straight time wage, an index of raw materials prices and the wholesale price index for manufacturing and its durable and nondurable subsectors this hypothesis cannot be refuted for the period 1955:1 to 1971:11. During the period 1926:1 to 1940:11, however, symmetrically opposite behavior is observed manufacturing wholesale prices are exogenous with respect to the wage rate, a relation which can arise if dynamically monopsonistic firms compete in product markets. Neither structural relation has withstood direct wage and price controls.
Palavra-chave: Wholesale, Labor, Wages, Prices, and Manufacturing Sujeito: E32 - Business Fluctuations; Cycles, E31 - Price Level; Inflation; Deflation, and L60 - Industry Studies: Manufacturing: General
Creator: Geweke, John Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 532 Abstract:
This paper integrates and extends some recent computational advances in Bayesian inference with the objective of more fully realizing the Bayesian promise of coherent inference and model comparison in economics. It combines Markov chain Monte Carlo and independence Monte Carlo with importance sampling to provide an efficient and generic method for updating posterior distributions. It exploits the multiplicative decomposition of marginalized likelihood into predictive factors, to compute posterior odds ratios efficiently and with minimal further investment in software. It argues for the use of predictive odds ratios in model comparison in economics. Finally, it suggests procedures for public reporting that will enable remote clients to conveniently modify priors, form posterior expectations of their own functions of interest, and update the posterior distribution with new observations. A series of examples explores the practicality and efficiency of these methods.
This paper was prepared for the inaugural Colin Clark Lecture, Australasian Meetings of the Econometric Society, July 1994.
Palavra-chave: Computation, Model comparison, Bayesian inference, and Econometric modeling Sujeito: C53 - Forecasting Models; Simulation Methods and C11 - Bayesian Analysis: General
Creator: Geweke, John Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 526 Palavra-chave: Econometrics, Monte Carlo, and Simulation Sujeito: C15 - Statistical Simulation Methods: General and C63 - Computational Techniques; Simulation Modeling