Abstract
We propose a set of best practices on how to organize empirical research drawn from our experience. We offer some ideas on organizing, processing and analyzing data efficiently with an eye towards quality control, documentation, and replicability. Although these best practices are by no means unique, they have served us and colleagues well over the years. We hope they will be helpful to students and young economists in their research endeavors.
References
Ball, R., and N. Medeiros. 2012. “Teaching Integrity in Empirical Research: A Protocol for Documenting Data Management and Analysis.” The Jounral of Economic Education 43(2): 182–189.10.1080/00220485.2012.659647Search in Google Scholar
Cameron, A., and P. Trivedi. 2005. Microeconometrics Methods and Applications. Cambridge: University Press.10.1017/CBO9780511811241Search in Google Scholar
Gentzkow, M., and J. Shapiro. 2014. “Code and Data for the Social Sciences: A Practitioner’s Guide.” Working paper, Chicago Booth and NBER.Search in Google Scholar
Schwabish, J. 2014. “An Economist’s Guide to Visualizing Data.” Journal of Economic Perspectives 28(1): 209–234.10.1257/jep.28.1.209Search in Google Scholar
Wooldridge, J. 2013. Introductory Econometrics: A Modern Approach. 5th ed. South-Western, Cengage Learning.Search in Google Scholar
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