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I just ran four million regressions

In this paper I try to move away from the Extreme Bounds method of identifying ``robust'' empirical relations in the economic growth literature. Instead of analyzing the extreme bounds of the estimates of the coefficient of a particular variable, I analyze the entire distribution. My claim in this paper is that, if we do this, the picture emerging from the empirical growth literature is not the pessimistic ``Nothing is Robust'' that we get with the extreme bound analysis. Instead, we find that a substantial number of variables can be found to be strongly related to growth.

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Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 201.

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Date of creation: Jan 1997
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Handle: RePEc:upf:upfgen:201
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  1. Barro, Robert J, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, MIT Press, vol. 106(2), pages 407-43, May.
  2. Stephen Knack & Philip Keefer, 1995. "Institutions And Economic Performance: Cross-Country Tests Using Alternative Institutional Measures," Economics and Politics, Wiley Blackwell, vol. 7(3), pages 207-227, November.
  3. Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc.
  4. King, Robert G. & Levine, Ross, 1993. "Finance, entrepreneurship and growth: Theory and evidence," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 513-542, December.
  5. Robert E. Hall & Charles I. Jones, . "The Productivity of Nations," Working Papers 96012, Stanford University, Department of Economics.
  6. Sachs, J-D & Warner, A-M, 1995. "Natural Resource Abundance and Economic Growth," Papers 517a, Harvard - Institute for International Development.
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