What Are the Characteristics That Explain Hospital Quality? A Longitudinal Pridit Approach

Health outcomes vary substantially between high‐ and low‐quality institutions, meaning the difference between life and death in some cases. The prior literature has identified a number of variables that can be used to determine hospital quality, but methodologies for combining variables into an overall measure of hospital quality are not well developed. This analysis builds on the prior investigation of hospital quality by evaluating a method originally developed for the detection of health‐care fraud, Pridit, in the context of determining hospital quality. We developed a theoretical model to justify the application of Pridit to the hospital quality setting and then applied the Pridit method to a national, multiyear data set on U.S. hospital quality variables and outcomes. The results demonstrate how the Pridit method can be used predictively, in order to predict future health outcomes based on currently available quality measures. These results inform the use of Pridit, and other unsupervised learning methods, in fraud detection and other settings where valid and reliable outcomes variables are difficult to obtain. The empirical results obtained in this study may also be of use to health insurers and policymakers who aim to improve quality in the hospital setting.     

Inflation Under Alternative Exchange Rate Regimes: What Happens When Countries Differ in Size?

A three-country model is used to analyze how country size affects inflation under different exchange rate regimes. Two countries, an anchor country (leader) and a pegging country (follower), are examined where the latter differs in size. We find that the leader's preference for floating over pegging is unaffected by the follower's size except in the case where the follower is very small. However, as the follower gets smaller, the leader's inflation worsens under floating but improves under the single-currency peg. For the follower, as it gets smaller, its inflation performance improves when it floats its currency. But which regime is preferred is unclear.     

The probability of conflicts in a U.S. presidential type election

Summary. In a two candidate election, it might be that a candidate wins in a majority of districts while he gets less vote than his opponent in the whole country. In Social Choice Theory, this situation is known as the compound majority paradox, or the referendum paradox. Although occurrences of such paradoxical results have been observed worldwide in political elections (e.g. United States, United Kingdom, France), no study evaluates theoretically the likelihood of such situations. In this paper, we propose four probability models in order to tackle this issue, for the case where each district has the same population. For a divided electorate, our results prove that the likelihood of this paradox rapidly tends to 20% when the number of districts increases. This probability decreases with the number of states when a candidate receives significatively more vote than his opponent over the whole country.Received: 12 August 2002, Revised: 7 March 2003, JEL Classification Numbers: D71. Correspondence to: Vincent R. MerlinSpecial thanks are due to Franck Bisson, a Caen PhD student, who helped collect the data. The authors also gratefully acknowledge Ashley Piggins and an anonymous referee for their comments.     

Effects of Securities Transaction Taxes on Depth and Bid-Ask Spread

This note investigates the effects of introducing a transaction tax on depth and bid-ask spread using a static model where a competitive market maker faces informed and liquidity traders. When the degree of information asymmetry is low, an increase in the transaction tax can result into a smaller rise in the selling price and the depth may even increase in some cases. When information asymmetry is high, the dealer could increase the selling price more than the tax and sometimes lowers the depth. This can result in a market shutdown if the liquidity trader is driven out of the market. We thank Vincent Reinhart and Walter Fisher for helpful discussions. Special thanks are also due to an anonymous referee and the editor C.D. Aliprantis for insightful comments and suggestions which have helped us to improve the paper substantially. The usual disclaimer applies.     

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