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Journal Article
Regulators: work with delinquent mortgage borrowers

Financial Update , Volume 20 , Issue 2

Journal Article
Georgia unemployment rate 'problem' provides a lesson

Regional Update , Issue Jan , Pages 1-3

Working Paper
Assessing the macroeconomic impact of bank intermediation shocks: a structural approach

We take a structural approach to assessing the empirical importance of shocks to the supply of bank-intermediated credit in affecting macroeconomic fluctuations. First, we develop a theoretical model to show how credit supply shocks can be transmitted into disruptions in the production economy. Second, we use the unique micro-banking data to identify and support the model's key mechanism. Third, we find that the output effect of credit supply shocks is not only economically and statistically significant but also consistent with the vector autogression evidence. Our mode estimation indicates ...
FRB Atlanta Working Paper , Paper 2015-8

Working Paper
Technological change in large U.S. commercial banks

FRB Atlanta Working Paper , Paper 88-6

Working Paper
Discussion of Preston, \"Learning about monetary policy rules when long-horizon expectations matter\"

The design of interest rate rules for conducting monetary policy have recently been examined for two key concerns. The first issue is determinacy of equilibria. Indeterminacy (multiplicity of stationary rational expectations equilibria) is a concern in models of monopolistic competition and price stickiness are currently a popular framework for the study of monetary policy. The second issue is stability of equilibria under adaptive learning. Some interest rate rules do not perform well when the expectations of the agents get out of equilibrium, e.g. as a result of structural shifts.
FRB Atlanta Working Paper , Paper 2003-19

Journal Article
Native American Bank: banking the unbanked

In 2001, 21 tribes formed Native American Bancorporation, the first nationally focused tribal bank. A Chippewa Cree and former assistant vice president of commercial lending explains why NAB?s understanding of tribal law has helped the bank serve customers better.
Communities and Banking , Issue Sum , Pages 20-23

Discussion Paper
Economic distress and resurgence in U.S. central cities: concepts, causes, and policy levers

This paper provides a review of the literature on U.S. central city growth and distress during the second half of the twentieth century. It finds that city growth tended to be higher in metropolitan areas with favorable weather, higher growth, and greater human capital, while distress was strongly correlated with city-level manufacturing legacy. The article affirms that distress has been highly persistent, but that some cities have achieved resurgence through a combination of strong leadership, collaboration across sectors and institutions, clear and broad-based strategies, and significant ...
Public Policy Discussion Paper , Paper 13-3

Journal Article
Making financial markets safer for consumers: lessons from consumer goods markets and beyond

In the wake of the mortgage meltdown, policymakers are discussing how best to protect consumers in financial product markets.
Forefront , Issue Winter , Pages 8-13

Working Paper
Underlying determinants of closed-bank resolution costs

An analysis of the issues surrounding bank resolution costs, looking at failures from 1986 to 1992 and including proxies for fraud, off-balance-sheet risk, brokered deposits, and both regional and size effects. Evidence suggests there was a significant lag between the realization and recognition of losses on bank assets, and that regulators may have practiced forbearance.
Working Papers (Old Series) , Paper 9403

Working Paper
Predictive Modeling of Surveyed Property Conditions and Vacancy

Using the results of a comprehensive in-person survey of properties in Cleveland, Ohio, we fit predictive models of vacancy and property conditions. We draw predictor variables from administrative data that is available in most jurisdictions such as deed recordings, tax assessor?s property characteristics, and foreclosure filings. Using logistic regression and machine learning methods, we are able to make reasonably accurate out-of-sample predictions. Our findings indicate that housing professionals could use administrative data and predictive models to identify distressed properties between ...
Working Papers (Old Series) , Paper 1637

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