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Asymmetric Learning in Repeated Contracting: An Empirical Study

The Review of Economics and Statistics 2012 94(2), 419-432
This paper uses a unique panel data set of an insurer's transactions with repeat customers. Consistent with the asymmetric learning hypothesis that repeated contracting enables sellers to obtain an informational advantage over their rivals, I find that the insurer makes higher profits in transactions with repeat customers who have a good claims history with the insurer, the insurer reduces the price charged to these repeat customers by less than the reduction in expected costs associated with such customers, and repeat customers with bad claim histories are more likely to flee their record by switching to other insurers.

Asymmetric Information and Learning: Evidence from the Automobile Insurance Market

The Review of Economics and Statistics 2005 87(2), 197-207
This paper tests the predictions of adverse-selection models using data from the automobile insurance market. I find that, in contrast to what recent research suggests, the evidence is consistent with the presence of informational asymmetries in this market: new customers choosing higher insurance coverage are associated with more accidents. Consistent with the possibility of policyholders' learning about their risk type, such a coverage-accidents correlation exists only for policyholders with enough years of driving experience. The informational advantage that new customers with driving experience have over the insurer appears to arise in part from customers' underreporting their past claim history: policyholders switching to new insurers are disproportionately ones with a poor claims history, and new customers tend to underreport their past claims history when joining a new insurer.

Money Market Development and the Demand for Money: Some Preliminary Evidence

Journal of Financial and Quantitative Analysis 1971 6(4), 1155
George Kaufman and Cynthia Latta in “The Demand for Money: Preliminary Evidence from Industrial Countries, ” have presented econometric evidence that the money-demand function may shift with the development of financial markets. The thesis depends on the heightened cross-elasticities and lowered wealth-elasticities (or income-elasticities) that are supposed to attend the development of new near-money forms. Their evidence is based on a summary of statistics from money-demand equations for developed and less-developed countries.

Deposit Demand and the Pricing of Demand Deposits: Reply

Quarterly Journal of Economics 1972 86(1), 140
Journal Article Deposit Demand and the Pricing of Demand Deposits: Reply Get access Bruce C. Cohen Bruce C. Cohen Northeastern University Search for other works by this author on: Oxford Academic Google Scholar The Quarterly Journal of Economics, Volume 86, Issue 1, February 1972, Pages 140–142, https://doi.org/10.2307/1880500 Published: 01 February 1972

The Stagnation of Indian Exports, 1951-1961

Quarterly Journal of Economics 1964 78(4), 604
Introduction, 604. —I. India's loss in expanding world markets, 606. — II. Empirical evidence that this declining market share was caused by an increase in the price of Indian exports relative to competitors' prices, 608. — III. Policies adopted by the Indian government to achieve goals with higher priority than export promotion, 611. — IV. Policy implications of the historical analysis if the Indian government should adopt a more vigorous export promotion policy, 617. —Appendix, 619.

The Student's t Test in Multiple Regression Under Simple Collinearity

Journal of Financial and Quantitative Analysis 1970 5(3), 341
This paper is concerned with the validity of the conventional t tests on regression coefficients when there is serious multicollinearity between the explanatory variables. It is well known that increasing multicollinearity causes the true standard errors of regression coefficients to rise. The crucial question, however, is whether the conventional formulas will in practice reflect this rise. The purpose of this note is to show that the conventional t tests will in practice reflect this rise. But this note also points out the danger involved in mechanically dropping variables from multiple regression equations by t tests because t values of the regression coefficients may not be significantly different from zero when the true (population) values of these coefficients are in fact not zero, if the explanatory variables are highly intercorrelated.

Credit Card Redlining

The Review of Economics and Statistics 2011 93(2), 700-713
This paper evaluates the presence of racial disparities in the issuance of consumer credit. Using a database of credit histories, I link location-based information on race with individual credit files. After controlling for place-specific factors such as housing vacancy rates and general population demographics, I find qualitatively large differences in the amount of credit offered to similarly qualified applicants living in black versus white areas. High data quality allows distinguishing between issuer-provision (supply) and utilization of credit (demand). Additional estimates using information on payday lending provide support for idea that issuers condition lending on location.