Heterogeneous convergence

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels.

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Year of publication:	2013
Authors:	Young, Andrew T. ; Higgins, Matthew J. ; Levy, Daniel
Publisher:	Ramat-Gan : Bar-Ilan University, Department of Economics
Subject:	Wirtschaftswachstum \| Regionale Disparität \| Regionale Einkommensverteilung \| USA \| Economic Growth \| Conditional Convergence \| Heterogeneity \| U.S. County Level Data

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Series:	Working Paper ; 2013-04
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	741313146 [GVK] hdl:10419/95996 [Handle] RePEc:biu:wpaper:2013-04 [RePEc]
Classification:	O40 - Economic Growth and Aggregate Productivity. General ; O11 - Macroeconomic Analyses of Economic Development ; O18 - Regional, Urban, and Rural Analyses ; O51 - U.S.; Canada ; R11 - Regional Economic Activity: Growth, Development, and Changes ; H50 - National Government Expenditures and Related Policies. General ; H70 - State and Local Government; Intergovernmental Relations. General
Source:	EconStor

Persistent link: https://www.econbiz.de/10010335973