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Author:Hein, Scott E. 

Journal Article
On the uniqueness of community banks

To the public, all banks seem alike. But banking insiders make important distinctions between community banks and all other banks. Policymakers worry that community banks? unique characteristics threaten their survival in the face of industry consolidation. However, despite dramatic regulatory and technological changes in the industry in the past two decades, community banks have not only survived but often prospered. ; This article explores the differences between community banks and larger banks to discover what makes community banks unique. Large banks engage primarily in transactional ...
Economic Review , Volume 90 , Issue Q 1 , Pages 15-36

Working Paper
Investigating the shift in money demand: an econometric analysis

Working Papers , Paper 1981-006

Journal Article
Forecasting the money multiplier: implications for money stock control and economic activity

Review , Volume 65 , Issue Oct , Pages 22-33

Journal Article
Evidence on the temporal stability of the demand for money relationship in the United States

Review , Volume 61 , Issue Dec , Pages 3-14

Working Paper
Forecasting inflation using interest rate and time-series models: some international evidence

Working Papers , Paper 1988-001

Working Paper
Predicting the money multiplier: forecasts from component and aggregate models

Working Papers , Paper 1983-012

Working Paper
Nominal GNP growth and adjusted reserve growth: nonnested tests of the St. Louis and Board measures

Working Papers , Paper 8914

Journal Article
Short-run money growth volatility: evidence of misbehaving money demand?

Review , Volume 64 , Issue Jun , Pages 27-36

Working Paper
Comparing Multi-State Kalman Filter and ARIMA forecasts: an application to the money multiplier

This paper derives one-month ahead forecasts of the money (M I) multiplier using the Multi-State Kalman Filter and Box-Jenkins ARIMA methods. A comparison of the forecasts far the period 1980-82 reveals that the Multi-State Kalman Filter procedure was generally superior to the ARIMA procedure In terms of most summary statistics. The superiority is traced to the turbulent period of 1980-81. This paper also compares aggregate and component forecasts of the multiplier. The aggregate Multi-State Kalman Filter was the most accurate in predicting the one-month ahead money multiplier.
Working Papers , Paper 1985-001

Journal Article
Reserve requirements, the monetary base, and economic activity

Economic and Financial Policy Review , Issue Mar , Pages 1-15

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