This paper has been superseded by WP 15-03. The authors study the location and productivity of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. Using a variety of spatial econometric techniques, they find that these labs are substantially more...

This paper has been superseded by WP 15-03.<p>The authors document the spatial concentration of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. using point pattern methods. These methods allow systematic examination of clustering at different...</p>

In the U.S., third-party debt collection agencies employ more than 140,000 people and recover more than $50 billion each year, mostly from consumers. Informational, legal, and other factors suggest that original creditors should have an advantage in collecting debts owed to them. Then, why does...

This paper has been superseded by WP 15-03. We study the location of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. Using a variety of spatial econometric techniques, we find that these labs are substantially more concentrated in space than the...

This working paper supersedes WP 12-22, WP 11-42, and WP 10-33. We employ a unique data set to examine the spatial clustering of private R&D labs, and, using patent citations data, we provide evidence of localized knowledge spillovers within these clusters. Jaffe, Trajtenberg, and Henderson...

Consumer confidence in payment card systems has been built up over many decades. Cardholders expect to use their cards to execute payment instructions in a reliable and timely manner. Data breaches that degrade the perceived safety and reliability of payment cards may weaken consumer confidence...

Fraud alerts — initial fraud alerts, extended fraud alerts, and credit freezes — help protect consumers from the consequences of identity theft. At the same time, they may impose costs on lenders, credit bureaus, and, in some instances, consumers. We analyze a unique data set of anonymized...