Bouncing out of the banking system: An empirical analysis of involuntary bank account closures

Using a new database, we document the determinants of involuntary consumer bank account closures. During 2001–2005, approximately 30 million debit accounts were involuntarily closed for excessive overdrafting. We focus on multiple factors to explain this phenomenon: household economics and financial decision-making ability, social capital, bank policies, and the alternative financial services sector. Involuntary closures are more frequent in US counties with a larger fraction of single mothers, lower education levels, lower wealth, and higher unemployment. Closures are higher in communities with high property crime rates and low electoral participation. Bank policies have an independent relation to closures, with counties having more competitive banking markets and more multi-market banks experiencing higher closure rates; bank structure also seems to affect the speed at which banks adjust their policies to changes in household income. Finally, using both national data and a state-level shift in regulation, we find evidence that access to payday lending leads to higher rates of involuntary account closure.     

Explaining post‐IPO venture performance through a knowledge‐based view typology

We extend the knowledge‐based view with a new typology and its application to post‐IPO firm performance. The typology categorizes knowledge development activity along the dimensions of familiarity (whether the firm has experience with the knowledge or it is new) and source (whether the firm creates it independently or with partners). We use this typology to determine direct and interaction effects of knowledge development activity on survival, RoA, and Tobin's q of newly public firms. Using a sample of 1,056 high‐technology manufacturing IPOs in 1990–2005, we find that focused, internal knowledge development correlates with higher performance. We also find a positive interaction effect in combining focused, internal and diversifying, alliance‐based knowledge development, and a negative interaction effect in combining diversifying, internal and alliance‐based knowledge development. Copyright © 2013 John Wiley & Sons, Ltd.     

Monopolistic screening under learning by doing

This article investigates the design of incentives in a dynamic adverse selection framework where agents' production technologies display learning effects and agents' learning rates are private knowledge. In a simple two‐period model with full commitment available to the principal, we show that whether learning effects are over‐ or underexploited crucially depends on whether more efficient agents also learn faster (so costs diverge through learning effects) or whether it is the less efficient agents who learn faster (so costs converge). We further show that an overexploitation of learning effects can occur also if the full‐commitment assumption is relaxed.     

When is discretion superior to timeless perspective policymaking?

The monetary policy literature assumes increasingly that policy is formulated according to the timeless perspective (Woodford, 1999a). However, by treating appropriately the auxiliary state variables that characterize the timeless perspective equilibrium when evaluating policy performance, this paper shows that discretionary policymaking can be superior to timeless perspective policymaking and identifies model features that make this outcome more likely. Using standard New Keynesian DSGE models, discretion is found to dominate timeless perspective policymaking when the price/wage Phillips curves are relatively flat, due, perhaps, to firm-specific capital (or labor) and/or Kimball (1995) aggregation in combination with nominal rigidities. These results suggest that studies applying the timeless perspective might also usefully compare its performance to discretion, paying careful attention to how policy performance is evaluated.     

Tariff Liberalisation and Increased Administrative Protection: Is There a Quid Pro Quo?

Theoretical models and intuition suggest that the amount of non‐traditional protection such as anti‐dumping duties will increase as more traditional forms such as tariffs are lowered under multilateral trade agreements. This paper is the first empirical study of the role of tariff liberalisation in the spread of anti‐dumping. Through both correlations and regression approaches we analyse the relationship between tariff concessions made during the Uruguay Round trade negotiations and the filing of anti‐dumping petitions, with particular interest in whether multilateral trade reductions have spurred the recent growth in new users of anti‐dumping policies. We find that, at least for developing economies, tariff reductions agreed to under the Uruguay Round not only increased the likelihood of a country using anti‐dumping protection but also the total number of anti‐dumping petitions filed by countries.     

Ethical Sensitivity in Management Decisions: Developing and Testing a Perceptual Measure Among Management and Professional Student Groups

An emerging literature in behavioral ethicsconceptualizes ethical perception or sensitivity as acritical part of the decision making process. Thisstudy appears to be the first to empirically test thisconcept in organization and management decisionmaking. A measure of ethical sensitivity is developedand tested in a decision making exercise. Subjectsfor the study are 156 students from programs inbusiness management, public administration, andengineering. The relationship of ethical sensitivityto decision outcome is assessed.     

On the Performance of Naïve, Analyst and Composite Earnings Forecasts: Evidence from Hong Kong

In this paper, we compare the information content and performance of naïve, analyst and composite forecasts in Hong Kong. Empirical evidence shows that superior performance can be obtained by a composite measure combining both analyst and naïve forecasts. In addition, analyst forecasts become more conditionally efficient over the naïve model as the actual announcement approaches. The superiority and timing advantage of analyst forecasts suggest that more emphasis should be placed on the services of analysts for predicting future earnings figures, particularly when the announcement is approaching.     

Forecasting aggregates using panels of nonlinear time series

Macroeconomic time series such as total unemployment or total industrial production concern data which are aggregated across regions, sectors, or age categories. In this paper we examine whether forecasts for these aggregates can be improved by considering panel models for the disaggregate series. As many macroeconomic variables have nonlinear properties, we specifically focus on panels of nonlinear time series. We discuss the representation of such models, parameter estimation and a method for generating forecasts. We illustrate the usefulness of our approach for simulated data and for the US coincident index, making use of state-specific component series.     

Two-level search design for main-effect plus two plan

One important class of screening designs is the search design first proposed by Srivastava (1975). A new class of two-level factorial search designs which are capable of estimating all main-effect plus two interactions is provided. We first give a necessary and sufficient condition for the main-effect plus two plan and then show that the proposed search design always satisfies such a condition. Received October 2000