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How Large Are Returns to Scale in the U.S.? A View Across the Boundary
I study the degree of returns to scale in aggregate U.S. data by estimating the standard RBC model with and without variable capacity utilization using Bayesian methods. The source of increasing returns is the presence of an externality in production. I find that, at best, returns are mildly increasing at a level statistically indistinguishable from the constant-returns case. A high enough degree of increasing returns is needed to support equilibrium indeterminacy and sunspot-driven business cycle fluctuations. In my estimation results, I find that I can conclusively rule out this possibility ...
Business Cycle Fluctuations in Mirrlees Economies: The Case of i.i.d. Shocks
I consider a real business cycle model in which agents have private information about the i.i.d. realizations of their value of leisure. For the case of logarithmic preferences I provide an analytical characterization of the solution to the associated mechanism design problem. Moreover, I show a striking irrelevance result: That the stationary behavior of all aggregate variables are exactly the same in the private information economy as in the full information case. Numerical simulations indicate that the irrelevance result approximately holds for more general CRRA preferences.