Can Business Owners Form Accurate Counterfactuals? Eliciting Treatment and Control Beliefs about Their Outcomes in the Alternative Treatment Status
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- Mckenzie,David J. & Mckenzie,David J., 2016. "Can business owners form accurate counterfactuals ? eliciting treatment and control beliefs about their outcomes in the alternative treatment status," Policy Research Working Paper Series 7668, The World Bank.
References listed on IDEAS
- Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
- Martin Ravallion, 2014. "Can We Trust Shoestring Evaluations?," World Bank Economic Review, World Bank Group, vol. 28(3), pages 413-431.
- David McKenzie, 2011. "How Can We Learn Whether Firm Policies Are Working in Africa? Challenges (and Solutions?) For Experiments and Structural Models -super-†," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 20(4), pages 600-625, August.
- Delavande, Adeline & Giné, Xavier & McKenzie, David, 2011.
"Measuring subjective expectations in developing countries: A critical review and new evidence,"
Journal of Development Economics,
Elsevier, vol. 94(2), pages 151-163, March.
- Delavande, Adeline & Gine, Xavier & McKenzie, David, 2009. "Measuring Subjective Expectations in Developing Countries: A Critical Review and New Evidence," Policy Research Working Paper Series 4824, The World Bank.
- McKenzie, David, 2011. "How can we learn whether firm policies are working in africa ? challenges (and solutions?) for experiments and structural models," Policy Research Working Paper Series 5632, The World Bank.
- Randall A. Lewis & Justin M. Rao, 2015. "The Unfavorable Economics of Measuring the Returns to Advertising," The Quarterly Journal of Economics, Oxford University Press, vol. 130(4), pages 1941-1973.
More about this item
Keywordsbusiness growth; counterfactual elicitation; randomized experiment; subjective expectations;
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
- O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-BEC-2016-05-21 (Business Economics)
- NEP-DEV-2016-05-21 (Development)
- NEP-EXP-2016-05-21 (Experimental Economics)
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