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

We use US county level data from 1970 to 1998 to explore the relationship between economic growth and government employment at three levels: federal, state and local. Increases in federal, state and local government employments are all negatively related to economic growth. We find no evidence...

We use U.S. county data (3,058 observations) and 41 conditioning variables to study growth and convergence. Using ordinary least squares (OLS) and three-stage least squares with instrumental variables (3SLS-IV), we report on the full sample and metro, nonmetro, and and regional samples: (1) OLS...

In this paper we use principal components augmented regressions (PCARs), partly in conjunction with model averaging, to determine the variables relevant for economic growth. The use of PCARs allows to effectively tackle two major problems that the empirical growth literature faces: (i) the...

We present a theory of spatial development. A continuum of locations in a geographic area choose each period how much to innovate (if at all) in manufacturing and services. Locations can trade subject to transport costs and technology diffuses spatially across locations. The result is an...

This article analyzes the issues of economic competitiveness evaluation of cross-border cities under the context of urban shrinkage. Currently the "urban shrinkage" issue is on the top of the political agenda in Europe. Under the globalization conditions, especially cities, which suffer from...

Wieloaspektowosc pojecia rozwoju regionalnego wynika bezposrednio z wielosci czynnikow go ksztaltujacych. Wspolczesnie podkresla sie znaczenie czynnikow endogenicznych, ktore wskazuja na specyfike i wyroznianie sie terytorium. Mobilizowanie potencjalu endogenicznego zapewnia trwala dynamike...

We use U.S. county-level data consisting of 3,058 observations, to study growth determination and measure the speed of income convergence. County-level data are particularly valuable for studying convergence because they allow us to study a sample with substantial homogeneity and exceptional...

This note outlines (i) why σ-convergence may not accompany β-convergence; (ii) cites evidence of β-convergence in the U.S.; (iii) demonstrates that σ-convergence does not hold across the U.S., or within most U.S. states; and (iv) demonstrates the robustness of this finding to increases in mean...

We utilize county-level data to explore growth determination in the U.S. and possible heterogeneity in growth determination across individual states. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. We use a consistent two stage least squares...