Creator: Todd, Richard M. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Dept.) Number: 407 Abstract:
Doan, Litterman, and Sims have described a method for estimating Bayesian vector autoregressive (BVAR) forecasting models. The method has been successfully applied to the U.S. macroeconomic dataset, which is relatively long and stable. Despite the brevity and volatility of the post-1976 Chilean macroeconomic dataset, this paper shows that a straightforward application of the DLS method to this dataset, with simple modifications to allow for delays in the release of data, also appears to satisfy at least one criterion of relative forecasting accuracy suggested by Doan, Litterman, and Sims. However, the forecast errors of the Chilean BVARs are still large in absolute terms. Also, the model's coefficients change sharply in periods marked by policy shifts, such as the floating of the peso in 1982.
Keyword: Chile and Bayesian autoregressive vector forecasting models Subject (JEL): O54 - Economywide country studies - Latin America ; Caribbean
Creator: Braun, R. Anton. and Christiano, Lawrence J. Series: Working paper (Federal Reserve Bank of Minneapolis. Research Dept.) Number: 529 Abstract:
The money demand literature presents much conflicting evidence on this question. For example, Lucas (1988) reports unrestricted money demand regressions which seem to imply that long-run money demand elasticities are highly unstable across subsamples. At the same time, he also presents evidence from money demand regressions with the income elasticity restricted to unity which seem to suggest stability. We conduct a formal analysis which weighs these apparently conflicting facts to determine which hypothesis is more plausible; the hypothesis that money demand is stable, or the hypothesis that money demand is unstable. We find that the stability hypothesis is the more plausible one. Thus, according to our data set, the answer to the question in the title is "yes".
Keyword: M1, Money demand, Regression analysis, Money demand regressions, and Money supply Subject (JEL): E41 - Money and interest rates - Demand for money and E51 - Monetary policy, central banking, and the supply of money and credit - Money supply ; Credit ; Money multipliers
Creator: Backus, David., Kehoe, Patrick J., and Kehoe, Timothy Jerome, 1953- Series: Modeling North American economic integration Abstract:
We look for the scale effects on growth predicted by some theories of trade and growth based on dynamic returns to scale at the national or industry level. The increasing returns can arise from learning by doing, investment in human capital, research and development, or development of new products. We find some evidence of a relation between growth rates and the measures of scale implied by the learning by doing theory, especially total manufacturing. With respect to human capital, there is some evidence of a relation between growth rates and per capita measures of inputs into the human capital accumulation process, but little evidence of a relation with the scale of inputs. There is also little evidence that growth rates are related to measures of inputs into R&D. We find, however, that growth rates are related to measures of intra-industry trade, particularly when we control for scale of industry.
Keyword: Human capital, Learning by doing, International trade, Research and development, Specialization indexes, Increasing returns to scale, Intra-industry trade, and External effects Subject (JEL): F43 - Economic Growth of Open Economies and O41 - One, Two, and Multisector Growth Models
Creator: Roberds, William. Series: Business analysis committee meeting Abstract:
One of the more significant developments in econometric modeling over the past decade has been the invention of the forecasting technique known as Bayesian vector autoregression (BVAR). This paper provides a detailed description of the process of specifying a BVAR model of quarterly time series on the U.S. macroeconomy. The postsample forecasting performance of the model is evaluated at an informal level by comparing the model's performance to certain naive forecasting methods, and is evaluated at a formal level by means of efficiency tests. Although the null hypothesis of efficiency is rejected for the model's forecasts, the accuracy of the model exceeds that of naive forecasting methods, and seems comparable to that of commercial forecasting firms for early quarter forecasts.
Keyword: BVAR, Vector autoregression, and Bayesian analysis Subject (JEL): C11 - Econometric and statistical methods : General - Bayesian analysis and C53 - Econometric modeling - Forecasting and other model applications
Creator: Bartelsman, Eric J. and Beaulieu, J. Joseph. Series: Joint committee on business and financial analysis Abstract:
This paper is the first of a series of explorations in the relative performance and sources of productivity growth of U.S. businesses across industries and legal structure. In order to assemble the disparate data from various sources to develop a coherent productivity database, we developed a general system to manage data. The paper describes this system and then applies it by building such a database. The paper presents updated estimates of gross output, intermediate input use and value added using the BEA=s GPO data set. It supplements these data with estimates of missing data on intermediate input use and prices for the 1977-1986 period, and it concords these data, which are organized on a 1972 SIC basis, to the 1987 SIC in order to have consistent time series covering the last twenty-four years. It further refines these data by disaggregating them by legal form of organization. The paper also presents estimates of labor hours, investment, capital services and, consequently, multifactor productivity disaggregated by industry and legal form of organization, and it analyzes the contribution of various industries and business organizations to aggregate productivity. The paper also reconsiders these estimates in light of the surge in spending in advance of the century-date change.
Keyword: Industrial productivity, Database design, Labor productivity, and Legal form of organization Subject (JEL): D24 - Production and organizations - Production ; Cost ; Capital and total factor productivity ; Capacity and E23 - Macroeconomics : Consumption, saving, production, employment, and investment - Production
Creator: Schulhofer-Wohl, Sam Series: Staff Reports (Federal Reserve Bank of Minneapolis) Number: 462 Abstract:
This appendix contains seven sections. Section A reports results from running regressions of labor earnings on GDP using data from the PSID, for comparison with the results using HRS data in the body of the paper. Section B examines the relationship between family income, aggregate shocks, and risk preferences in the PSID. Section C gives technical details on the Markov Chain Monte Carlo estimation employed in table 1 of the paper and reports the complete parameter estimates for the regressions summarized in that table. Section D reports results when the relationship between earnings and aggregate shocks is estimated with individual-specific coecients rather than common coecients for each risk-tolerance group. Section E reports results comparable to table 1 of the paper and table D.1 of this appendix using only Social Security covered earnings instead of the combination of Social Security and W-2 earnings. Section F reports robustness checks for tables 2 and 3 of the paper under alternative definitions of the household and the consumption and income variables. Section G reports robustness checks for tables 2 and 3 under an alternative definition of the leisure variable.
Keyword: Risk preferences, Heterogeneity, Imperfect insurance, and Risk sharing Subject (JEL): E21 - Macroeconomics : Consumption, saving, production, employment, and investment - Consumption ; Saving ; Wealth and E24 - Macroeconomics : Consumption, saving, production, employment, and investment - Employment ; Unemployment ; Wages ; Intergenerational income distribution ; Aggregate human capital
Creator: Weber, Warren E. Description:
This spreadsheet contains the disaggregated national bank call reports by state and reserve city for each call report date. These data appear as compiled by the Comptroller of the Currency. These data are a “cleaned” version of the data published in the Annual Reports of the Comptroller of the Currency. Where assets and liabilities were not equal for a state or reserve city in the original, they have been corrected to be equal in this data set. This was done by comparing for each asset and liability category differences between totals as reported by the Comptroller and totals category obtained by aggregating the individual state and reserve city data. It should also be noted that aggregates for the entire National Banking System should be based on the individual data in this dataset and not those reported by the Comptroller. After 1900 the dates for the data for Alaska and Hawaii that the Comptroller used in his totals do not match the dates given in the individual state reports.