Research Database

This paper focuses on avoidable moral hazard and offers one explanation for limited insurance markets, for closely held firms, and for seemingly simple as opposed to contingent forms of debt. Agents have random endowments of a consumption good which are such that there are gains to trading contingent claims. But any realization of an endowment is known only by its owner unless a verification cost is borne. Contracts in such a setting are said to be consistent if agents submit to verification and honor claims in accordance with prior agreements. The Pareto optimal consistent contracts which emerge are shown to have familiar characteristics.

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An alternative solution concept is recommended for noncooperative games with multiple equilibra. Players maximize security level in a contracted game. Examples in economics are given in which this solution concept yields a unique solution: a fiat money model, the capital overaccumulation problem, and multiple rational expectations equilibria generally.

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A dynamic linear demand schedule for labor is estimated and tested. The hypothesis of rational expectations and assumptions about the orders of the Markov processes governing technology impose over-identifying restrictions on a vector autoregression for straight-time employment, overtime employment, and the real wage. The model is estimated by the full information maximum likelihood method. The model is used as a vehicle for re-examining some of the paradoxical cyclical behavior of real wages described in the famous Dunlop-Tarshis-Keynes exchange.

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In “The Inefficiency of Interest-Bearing National Debt,” (JPE, April 1979) we argued that private sector transaction costs are needed in order to explain interest on government debt. It follows that if the government’s transaction costs do not depend on its portfolio, then, barring special circumstances, an open-market purchase is deflationary and welfare improving. In this paper we show that this result can survive a potentially relevant special circumstance: reserve requirements which limit the size of insured intermediaries.

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The method proposed here includes two innovations which should improve the accuracy of econometric forecasting. First, it replaces the subjective, judgmental adjustments commonly used with a more formal, objective econometric procedure. Second, it includes a methodology for testing the usefulness of subperiod data which forecasters often inspect when choosing intercept adjustments. A sample application to the MIT-Penn-SSRC Model demonstrates that the procedure is both feasible and potentially helpful in the context of a large macroeconometric model.

In this paper, we examine various exchange rate regimes, paying particular attention to what difference the monetary-fiscal policy choices of governments make. The exchange rate may be market-determined or fixed, and if fixed, either cooperatively or by one government alone. Further, capital controls may or may not apply. Our most important result, quite general, we believe, is that absent capital controls the equilibrium exchange rate of the floating rate regime is indeterminate. It makes no sense to advocate floating rates and unfettered international borrowing and lending.

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Although many studies have investigated the relationship between market structure and the prices of bank services, most have been concerned with metropolitan areas. These studies generally have used bank balance sheet and income statement ratios as bank conduct proxies. Moreover, prior studies have approximated local banking markets with county or SMSA boundaries.

This study develops a methodology for delineating the geographic boundaries of local banking markets through the use of secondary economic and demographic data. This methodology is utilized to delineate rural banking markets in the states of Iowa, Minnesota, and Wisconsin. The relationship between those markets and rural bank conduct is investigated. Conduct is measured with explicit price and nonprice information generated by telephone survey.

The market determination methodology is based on the assumption that people will bank where they live, work, or obtain goods and services. Using a classification system which categorizes communities according to variety and amount of retail business transactions, a gradient concept is developed which initially approximates market boundaries according to local minima in the gradient.

This procedure, which determines where residents are likely to shop, is supplemented with commuting data based on minor civil divisions to determine where residents work. The resulting “areas of convenience” designate the locale where local customers will ordinarily select banking services.

The natural banking markets determined for the entire state of Minnesota are compared with banking markets approximated by county or SMSA boundaries. The counties or SMSAs are allowed to underestimate or overestimate the natural market by as much as 30 percent of total deposits before being classified as unacceptable approximators. According to these criteria, 61 percent of the counties and SMSAs are found to be unacceptable approximators. When the criteria are tightened to permit only 10 percent underestimation or overestimation, 79 percent of the counties and SMSAs are rated unacceptable. This implies that researchers and policy makers should be cautious about approximating local banking markets with political boundaries. Additional methods for testing the procedure and making it operational are suggested.

The methodology is used to delineate local banking markets in Iowa, Minnesota, and Wisconsin. Twenty-five rural markets are randomly selected from each state. A total of 333 banks from these markets forms the basis for the structure-conduct analysis. These banks are surveyed by telephone to determine explicit price and nonprice information.

Three estimation models (linear, hyperbolic, and cubic) are developed to analyze the relationship between rural bank market structure and the survey variables. The basic linear model generally provides the best fit.

Increases in concentration are significantly associated with increases in the rates rural banks charge on each type of loan included in the study. Moreover, increases in market share are significantly associated with increases in nonprice effort. Consequently, policy makers are confronted with selecting between: (1) higher prices and increased provision of ancillary banking services, or (2) lower prices and less service.

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As the CD market has become an important source of bank funds, it has also become an important market for policymakers to understand. But so far model builders have not recognized the significance of assuming that new and old CDs are perfect substitutes. Therefore, they have misused the assumption, discarded relevant data, and ignored evidence inconsistent with perfect substitution. This study shows that models of the CD market should not treat new and old issues as perfect substitutes and that they should not drop observations when market rates are above the Regulation Q ceiling.

This paper puts forward a method of policy simulation with an existing macroeconometric model under the maintained assumption that individuals form their expectations rationally. This new simulation technique grows out of Lucas’ criticism that standard econometric policy evaluation permits policy rules to change but doesn’t allow expectations mechanisms to respond as economic theory predicts they will. The technique is applied to versions of the St. Louis Federal Reserve model and the Federal Reserve-MIT-Penn (FMP) model to simulate the effects of different constant money growth policies. The results of these simulations indicate that the problem identified by Lucas may be of great quantitative importance in the econometric analysis of policy alternatives.

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