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Policy Evaluation and Economic Policy Advice

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  • Schmidt, Christoph M.

    ()
    (RWI)

Abstract

Arguably, one of the most important developments in the field of applied economics during the last decades has been the emergence of systematic policy evaluation, with its distinct focus on the establishment of causality. By contrast to the natural sciences, the objects of our scientific interest typically exert some influence on their treatment status under the policy to be evaluated and on their economic outcomes. Thus, economic policy advice can only be successful, if it is based on an appropriate study design, experimental or observational. It will strive in societies that provide liberal access to data, accept the merits of randomized assignment and guard the independence of research institutions.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2700.

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Length: 14 pages
Date of creation: Mar 2007
Date of revision:
Publication status: published in: AStA: Advances in Statistical Analysis, 2007, 91 (4), 379-389
Handle: RePEc:iza:izadps:dp2700

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Keywords: policy advice; policy evaluation; applied economics; causality;

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References

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  1. Schmidt, Christoph M. & Frondel, Manuel, 2002. "The empirical assessment of technology differences: comparing the comparable," ZEW Discussion Papers, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research 02-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Ravallion, Martin, 2005. "Evaluating anti-poverty programs," Policy Research Working Paper Series 3625, The World Bank.
  3. Manski, C.F., 1992. "Identification Problems in the Social Sciences," Working papers, Wisconsin Madison - Social Systems 9217, Wisconsin Madison - Social Systems.
  4. Fertig, Michael & Schmidt, Christoph M. & Schneider, Hilmar, 2006. "Active labor market policy in Germany--Is there a successful policy strategy?," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 36(3), pages 399-430, May.
  5. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
  6. Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, American Economic Association, American Economic Association, vol. 80(3), pages 313-36, June.
  7. Jochen Kluve & Christoph M. Schmidt, 2002. "Can training and employment subsidies combat European unemployment?," Economic Policy, CEPR;CES;MSH, CEPR;CES;MSH, vol. 17(35), pages 409-448, October.
  8. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, Elsevier, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  9. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, Elsevier, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
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As found on the RePEc Biblio, the curated bibliography for Economics:
  1. > Political Economy > The Political Economy of the European Union > Economic Policy and Policy-Making in the European Union
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Cited by:
  1. Joseph Mensah & Joseph R. Oppong & Christoph M. Schmidt, 2010. "Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 95-106, September.

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