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Quantitative analysis in social sciences: An brief introduction for non-economists

  • Niño-Zarazúa, Miguel

In this paper, I present an introduction to quantitative research methods in social sciences. The paper is intended for non-Economics undergraduate students, development researchers and practitioners who although unfamiliar with statistical techniques, are interested in quantitative methods to study social phenomena. The paper discusses conventional methods to assess the direction, strength and statistical significance of the correlation between two or more variables, and examines regression techniques and experimental and quasi-experimental research designs to establish causality in the analysis of public interventions.

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File URL: http://mpra.ub.uni-muenchen.de/39216/1/MPRA_paper_39216.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 39216.

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Date of creation: May 2012
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Handle: RePEc:pra:mprapa:39216
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  1. Glenn Harrison & John List, 2004. "Field experiments," Artefactual Field Experiments 00058, The Field Experiments Website.
  2. Angus S. Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," NBER Working Papers 14690, National Bureau of Economic Research, Inc.
  3. Esther Duflo & Michael Kremer & Jonathan Robinson, 2009. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," NBER Working Papers 15131, National Bureau of Economic Research, Inc.
  4. Jessica Cohen & Pascaline Dupas, 2010. "Free Distribution or Cost-Sharing? Evidence from a Randomized Malaria Prevention Experiment," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 1-45, February.
  5. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-in-Differences Estimates?," The Quarterly Journal of Economics, MIT Press, vol. 119(1), pages 249-275, February.
  6. Michael Bamberger & Vijayendra Rao & Michael Woolcock, 2009. "Using Mixed Methods in Monitoring and Evaluation: Experiences from International Development’," Brooks World Poverty Institute Working Paper Series 10709, BWPI, The University of Manchester.
  7. Karlan, Dean S. & Zinman, Jonathan, 2007. "Expanding Credit Access: Using Randomized Supply Decisions to Estimate the Impacts," CEPR Discussion Papers 6407, C.E.P.R. Discussion Papers.
  8. Eric Zitzewitz & Michael Kremer & Paul Glewwe & Sylvie Moulin, 2004. "Retrospective vs. prospective analyses of school inputs: The case of flip charts in kenya," Natural Field Experiments 00256, The Field Experiments Website.
  9. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, 07.
  10. Hoddinott, John & Skoufias, Emmanual, 2003. "The impact of Progresa on food consumption," FCND discussion papers 150, International Food Policy Research Institute (IFPRI).
  11. Paul Schultz, T., 2004. "School subsidies for the poor: evaluating the Mexican Progresa poverty program," Journal of Development Economics, Elsevier, vol. 74(1), pages 199-250, June.
  12. repec:feb:artefa:0090 is not listed on IDEAS
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