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Does cutting back the public sector improve efficiency? Some evidence from 15 European countries

The successful development of the welfare state that transpired for three decades after WWII in the developed countries, came to a halt around the end of the 1980s. Since then, the number of articles and books dedicated to the crisis of the welfare state has increased. We can now assert that at the turn of the century, almost all industrialized countries had cut at least “some” entitlements in their welfare program along with other expenditure items, and the trend continued in the first decade of this century. To defend the cuts and possibly to justify continuing cuts, several economic reasons, both theoretical and empirical, have been highlighted. From mention of Baumol’s disease to the fiscal crisis, the support for making such decisions by governments gained momentum, with their political inspiration changing during the same period in favor of more conservative, right-wing positions. The low productivity of the public sector and the high level of tax burden were the substantial arguments used to support cuts. The aim of this paper is to provide an empirical investigation into the impact of retrenchment of the public sector on the performance of 15 European countries. In particular, we aim to empirically test the view that “big government” reduces a country's efficiency. We have found that no such empirical support exists. We have also included analysis of the distribution of income through the Gini index and have found the standard trade-off relation between inequality and efficiency.

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Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 274.

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Length: 22 pages
Date of creation: 30 Apr 2013
Date of revision: 30 Apr 2013
Handle: RePEc:rtv:ceisrp:274
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  1. António Afonso & Miguel St. Aubyn, 2010. "Public and Private Inputs in Aggregate Production and Growth: A Cross-country Efficiency Approach," Working Papers Department of Economics 2010/09, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  2. A. B. Atkinson & A. Brandolini, 2009. "On data: a case study of the evolution of income inequality across time and across countries," Cambridge Journal of Economics, Oxford University Press, vol. 33(3), pages 381-404, May.
  3. Guido Enrico Tabellini & Torsten Persson, 1991. "Growth, Distribution and Politics," IMF Working Papers 91/78, International Monetary Fund.
  4. Fölster, Stefan & Henrekson, Magnus, 2000. "Growth Effects of Government Expenditure and Taxation in Rich Countries," SSE/EFI Working Paper Series in Economics and Finance 391, Stockholm School of Economics.
  5. Evangelia Desli & Subhash Ray & Subal Kumbhakar, 2003. "A dynamic stochastic frontier production model with time-varying efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 623-626.
  6. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
  7. Hartwig, Jochen, 2008. "What drives health care expenditure?--Baumol's model of 'unbalanced growth' revisited," Journal of Health Economics, Elsevier, vol. 27(3), pages 603-623, May.
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