Browsing by Author "Craig Burnside, A"
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Item Open Access Consistency of a method of moments estimator based on numerical solutions to asset pricing models(Econometric Theory, 1993-01-01) Craig Burnside, AThis paper considers the properties of estimators based on numerical solutions to a class of economic models. In particular, the numerical methods discussed are those applied in the solution of linear integral equations, specifically Fredholm equations of the second kind. These integral equations arise out of economic models in which endogenous variables appear linearly in the Euler equations, but for which easily characterized solutions do not exist. Tauchen and Hussey [24] have proposed the use of these methods in the solution of the consumption-based asset pricing model. In this paper, these methods are used to construct method of moments estimators where the population moments implied by a model are approximated by the population moments of numerical solutions. These estimators are shown to be consistent if the accuracy of the approximation is increased with the sample size. This result depends on the solution method having the property that the moments of the approximate solutions converge uniformly in the model parameters to the moments of the true solutions. © 1993, Cambridge University Press. All rights reserved.Item Restricted Hansen-jagarsnathan bounds as classical tests of asset-pricing models(Journal of Business and Economic Statistics, 1994-01-01) Craig Burnside, AIn this article, tests of the implications of consumption-based asset-pricing models are developed. Four of these tests are based on variance bounds for intertemporal marginal rates of substitution introduced by Hansen and Jagannathan. The tests provide one means of quantifying the effects of sampling error when the bounds are used as a diagnostic device. The tests are used to construct confidence regions for the parameters of an asset-pricing model using U.S. data. Monte Carlo simulation is used to determine the small-sample properties of the tests. © 1994 American Statistical Association.Item Open Access Production function regressions, returns to scale, and externalities(Journal of Monetary Economics, 1996-04-01) Craig Burnside, AA number of recent papers have used simple linear regressions in an attempt to identify market structure, the extent of returns to scale, and possible external effects in U.S. manufacturing industries. The results obtained from these regressions have important implications for several branches of modern macroeconomics. As a result, the macro literature frequently cites specific numerical evidence from Caballero and Lyons (1992) and Hall (1990), which suggests that there are quantitatively significant increasing returns to scale, or external effects in U.S. manufacturing. In contrast, it is the argument of this paper that this evidence is not convincing. The most robust evidence suggests that the typical U.S. manufacturing industry displays constant returns with no external effects. On the other hand, there is significant heterogeneity across industries.