Research Database

Some economists argue that as long as governments can earn the market rate of return by saving abroad, standard reputation models cannot support debt. We argue that these standard reputation models are partial in the sense that actions of agents in one arena affect reputation in that arena only. We develop a general model of reputation in which if a government is viewed as untrustworthy in one relationship, this government will be viewed as untrustworthy in other relationships. We show that our general model of reputation can support large amounts of debt.

Previous studies quantifying the effects of increased taxation during the U.S. Great Depression find that its contribution is small, in accounting for both the downturn in the early 1930s and the slow recovery after 1934. This paper shows that this conclusion rests critically on the assumption that the only taxable capital income is business profits. Effects of capital taxation are much larger when taxes on property, capital stock, excess profits, undistributed profits, and dividends are included in the analysis. When fed into a general equilibrium model, the increased taxes imply significant declines in investment and equity values and nontrivial declines in gross domestic product (GDP) and hours of work. Of particular importance during the Great Depression was the dramatic rise in the effective tax rate on corporate dividends.

Matching efficiency is the productivity of the process for matching jobseekers to available jobs. Job-finding is the output; vacant jobs and active jobseekers are the inputs. Measurement of matching efficiency follows the same principles as measuring a Hicks-neutral index of productivity of production. We develop a framework for measuring matching productivity when the population of jobseekers is heterogeneous. The efficiency index for each type of jobseeker is the monthly job-finding rate for the type adjusted for the overall tightness of the labor market. We find that overall matching efficiency declined over the period, at just below its earlier downward trend. We develop a new approach to measuring matching rates that avoids counting short-duration jobs as successes. And we show that the outward shift in the Beveridge curve in the post-crisis period is the result of pre-crisis trends, not a downward shift in matching efficiency attributable to the crisis.

During the Second Industrial Revolution, 1860–1900, many new technologies, including electricity, were invented. These inventions launched a transition to a new economy, a period of about 70 years of ongoing, rapid technical change. After this revolution began, however, several decades passed before measured productivity growth increased. This delay is paradoxical from the point of view of the standard growth model. Historians hypothesize that this delay was due to the slow diffusion of new technologies among manufacturing plants together with the ongoing learning in plants after the new technologies had been adopted. The slow diffusion is thought to be due to manufacturers’ reluctance to abandon their accumulated expertise with old technologies, which were embodied in the design of existing plants. Motivated by these hypotheses, we build a quantitative model of technology diffusion which we use to study this transition to a new economy. We show that it implies both slow diffusion and a delay in growth similar to that in the data.

The direct benefits of infrastructure in developing countries can be large, but if new infrastructure induces in-migration, congestion of other local publicly provided goods may offset the direct benefits. Using the example of rural household electrification in South Africa, we demonstrate the importance of accounting for migration when evaluating welfare gains of spatial programs. We also provide a practical approach to computing welfare gains that does not rely on land prices. We develop a location choice model that incorporates missing land markets and allows for congestion in local land. Using this model, we construct welfare bounds as a function of the income and population effects of the new electricity infrastructure. A novel prediction from the model is that migration elasticities and congestion effects are especially large when land markets are missing. We empirically estimate these welfare bounds for rural electrification in South Africa, and show that congestion externalities from program-induced migration reduced local welfare gains by about 40%.

A method is presented for solving a certain class of hierarchical rational expectations models, principally models that arise from Stackelberg dynamic games. The method allows for numerical solution using spectral factorization algorithms, and estimation of these models using standard maximum likelihood techniques.