Bias in estimates of discrimination and default in mortgage lending: The effects of simultaneity and self-selection

The common practices of estimating single-equation models of mortgage rejection to test for discrimination in mortgage markets or single-equation ex ante mortgage default equations to validate underwriting criteria produce biased and inconsistent parameter estimates. This is due to problems of simultaneous equations bias which arise because, in a world of imperfect information, mortgage terms are not exogenous to the rejection or default decision. In addition, mortgage default estimates are also subject to selection bias. Monte Carlo experiments are used to study the nature and extent of likely bias in single-equation estimation results. We find that rejection equation estimates indicate discrimination when none exists and that estimated coefficients of mortgage terms, such as the loan-to-value ratio, are also subject to significant bias in both rejection and default equations.     

The effects of tariffs on coalition formation in a dynamic global warming game

The prospects for cooperation on climate protection beyond 2012 are currently uncertain. Thus policy instruments which foster participation in International Environmental Agreements (IEA) are in demand. Among the instruments under discussion are trade sanctions. Multi-region optimal growth models are a state of the art tool for integrated assessment, but introducing trade sanctions distorts the competitive equilibrium, making it difficult to compute numerically. We introduce trade and trade sanctions into a model of coalition stability to assess the potential of trade sanctions to support an IEA. Trade is modeled by having all countries produce a generic output good, but adopting national product differentiation (Armington assumption). Coalitions are free to impose tariffs on imports from non-cooperating countries. We solve the model numerically using a refined version of Negishi's [Negishi, T., 1960. Welfare economics and existence of an equilibrium for a competitive economy. Metroeconomica 12, 92–97] basic algorithm. We then apply the model to analyze the influence of tariffs on international cooperation. The model suggests that there is indeed a significant potential to raise participation through trade sanctions, even when goods from different countries are nearly perfect substitutes. Furthermore we investigate the effect of trade sanctions on global welfare, environmental effectiveness, and the credibility of the tariff mechanism.     

Buyer-seller relationships in the procurement of logistical services

This study presents a two-phase model of interfirm exchange in the logistical supply industry. The first phase uses transaction cost analysis to identify conditions leading to market-based transactions, unilateral agreements, and bilateral alliances. The second phase illustrates how formal controls and relational norms yield performance in market, unilateral, and bilateral governance systems. A test of the model with data from 189 logistical supply relationships suggests that bilateral alliances emerge through the interaction of user investments in the logistics supplier, supplier logistical services, and marketplace uncertainty. Bilateral alliances attain desired outcomes through participative management and flexibility. By contrast, market-based transactions yield desired outcomes through formalization and solidarity. Unilateral agreements gain performance through formalization, participation, information sharing, and solidarity. Implications for logistics management and theory are discussed. He received his Ph.D. in marketing from the University of Cincinnati. His research interests include relationship marketing and marketing channels. His articles have appeared in theJournal of Retailing, Journal of Personal Selling and Sales Management, Marketing Letters, Omega: The International Journal of Management Science, and elsewhere. She received her Ph.D. from the University of North Carolina, Chapel Hill. Her research has concentrated on business-to-business marketing relationships, with a focus on means to improve coordination, and on sales management, with an emphasis on ways to enhance diversity, improve performance, and reduce turnover. Her articles have appeared in theJournal of Personal Selling and Sales Management, Journal of Business Research, Marketing Letters, Journal of Business-to-Business Marketing, and elsewhere. He is also the director of the Warehousing Research Center (WRC). He received his Ph.D. from Michigan State University. Industrial marketing strategy, marketing and logistics interfaces, logistics and warehousing management are his primary areas of expertise and interest. He has published articles in theJournal of Marketing, Journal of Retailing, Journal of Business Logistics, Industrial Marketing Management, and elsewhere. He has also written a leading industrial marketing text and a variety of warehousing and logistics monographs.     

When consumers complain: A path analysis of the key antecedents of consumer complaint response estimates

When do consumers complain? This study probes this question by developing a conceptual framework that includes multiple theoretical perspectives, empirically testing a portion of the proposed model, and using dissatisfaction/complaint data from three different service industries. The hypothesized model uses multidimensional consumer complaint response estimates including voice, private, and third-party responses as dependent variables. Results support several proposed relationships, provide a high level of explained variance, and indicate a moderating role for dissatisfaction intensity. The complaint response estimates are characterized by disparate influence pathways, and expectancy value judgments emerge as critical determinants with positive and negative crossover effects. Attitude toward complaining is more dominant under low dissatisfaction intensity than it is under the high dissatisfaction condition. Important differences emerge across service categories. Implications of this work for managers and researchers in understanding when consumers complain are enumerated.     

Market clearing and derivative pricing

Summary. We develop a method of assigning unique prices to derivative securities, including options, in the continuous-time finance model developed in Raimondo (2001). In contrast with the martingale method of valuing options, which cannot distinguish among infinitely many possible option pricing processes for a given underlying securities price process when markets are dynamically incomplete, our option prices are uniquely determined in equilibrium in closed form as a function of the underlying economic data.Received: 14 April 2003, Revised: 7 January 2004, JEL Classification Numbers: G13, D52.This paper is dedicated to Birgit Grodal, whose strength and character we greatly admire. We are very grateful to Darrell Duffie, Steve Evans, Botond Koszegi, Roger Purves, Jacob Sagi, Chris Shannon, Bill Zame and an anonymous refereee for very helpful discussions and comments. The work of both authors was supported by Grant SES-9710424, and Andersons work was supported by Grant SES-0214164, from the National Science Foundation.     

Trades and Quotes: A Bivariate Point Process

This article formulates a bivariate point process to jointlyanalyze trade and quote arrivals. In microstructure models,trades may reveal private information that is then incorporatedinto new price quotes. This article examines the speed of thisinformation flow and the circumstances that govern it. A jointlikelihood function for trade and quote arrivals is specifiedin a way that recognizes that an intervening trade sometimescensors the time between a trade and the subsequent quote. Modelsof trades and quotes are estimated for eight stocks using Tradeand Quote database (TAQ) data. The essential finding for thearrival of price quotes is that information flow variables,such as high trade arrival rates, large volume per trade, andwide bid–ask spreads, all predict more rapid price revisions.This means prices respond more quickly to trades when informationis flowing so that the price impacts of trades and ultimatelythe volatility of prices are high in such circumstances.     

Location Decisions of Domestic and Foreign-Affiliated Financial Advisors: Australian Evidence

We examine two views of the location choice of newly qualified personal financial advisors that recommend fund managers to retail investors. In one, sources of investment pools are the determinants of the location choice of financial advisors (the ‘source of funds’ hypothesis). In the other, investment advisors learn from and mimic the location of competing industries (the ‘knowledge spill-over’ hypothesis). We also investigate whether ownership structures, such as institutional and foreign affiliation, affect the location choices of advisors. Overall, advisor location is determined by considerations for the profitability of an area as a source of both investment funds and potential information spillovers from competitors. Institutional affiliation may result in differences in the set of relevant location choice factors, but does not detract from our main findings.     

Uncertainty and Financing Constraints

Using a panel of Dutch listed firms this paper provides empirical evidence for the hypothesis that more risky firms are confronted with more severe capital market constraints than relatively less risky firms. The paper also contributes to the discussion on the usefulness of cash flow as a measure of financial constraints. We present a stochastic version of the Kaplan-Zingales (1997) model. We show that cash flow sensitivity can be used as a meaningful indicator of financing constraints if firms are classified by the degree of uncertainty they face and if the uncertainty originates from cost uncertainty.