Detecting Problems in Survey Data Using Benford’s Law
Abstract"It is 15:00 in Nairobi. Do you know where your enumerators are??" Good quality data is paramount for applied economic research. If the data are distorted, corresponding conclusions may be incorrect. We demonstrate how Benford’s law, the distribution that first digits of numbers in certain data sets should follow, can be used to test for data abnormalities. We conduct an analysis of nine commonly used data sets and find that much data from developing countries is of poor quality while data from the United States seems to be of better quality. Female and male respondents give data of similar quality.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Journal of Human Resources.
Volume (Year): 44 (2009)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://jhr.uwpress.org/
You can help add them by filling out this form.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:CitEc Project, subscribe to its RSS feed for this item.
- Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer, vol. 36(3), pages 273-292, August.
- Auffhammer, Maximilian & Carson, Richard T., 2008.
"Forecasting the path of China's CO2 emissions using province-level information,"
Journal of Environmental Economics and Management,
Elsevier, vol. 55(3), pages 229-247, May.
- Auffhammer, Maximilian & Carson, Richard T., 2007. "Forecasting the Path of China's CO2 Emissions Using Province Level Information," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6d28j8rg, Department of Agricultural & Resource Economics, UC Berkeley.
- Auffhammer, Maximilian & Carson, Richard Taylor, 2004. "Forecasting the path of China's CO2 emissions using province level information," CUDARE Working Paper Series 0971, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised 2007.
- Brähler, Gernot & Bensmann, Markus & Emke, Anna-Lena, 2010. "Der Einsatz mathematisch-statistischer Methoden in der digitalen Betriebsprüfung," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 4, number 42010.
- David E. Giles, 2012. "Exact Asymptotic Goodness-of-Fit Testing For Discrete Circular Data, With Applications," Econometrics Working Papers 1201, Department of Economics, University of Victoria.
- Abrantes-Metz, Rosa & Villas-Boas, Sofia B. & Judge, George G., 2013.
"Tracking the Libor Rate,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt2p33x7dk, Department of Agricultural & Resource Economics, UC Berkeley.
- Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010.
"Do Labor Statistics Depend on How and to Whom the Questions Are Asked? Results from a Survey Experiment in Tanzania,"
IZA Discussion Papers
4733, Institute for the Study of Labor (IZA).
- Bardasi, Elena & Beegle, Kathleen & Dillon, Andrew & Serneels, Pieter, 2010. "Do labor statistics depend on how and to whom the questions are asked ? results from a survey experiment in Tanzania," Policy Research Working Paper Series 5192, The World Bank.
- Neher, Frank, 2012. "Preferences for Redistribution around the World," Working Papers 26/2012, Universidade Portucalense, Centro de Investigação em Gestão e Economia (CIGE).
- Beegle, Kathleen & Carletto, Calogero & Himelein, Kristen, 2012.
"Reliability of recall in agricultural data,"
Journal of Development Economics,
Elsevier, vol. 98(1), pages 34-41.
- Paulette Clippe & Marcel Ausloos, 2012.
"Benford's law and Theil transform of financial data,"
- Clippe, Paulette & Ausloos, Marcel, 2012. "Benford’s law and Theil transform of financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6556-6567.
- Lee, Joanne & Judge, George G, 2008. "Identifying falsified clinical data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8x00h1c1, Department of Agricultural & Resource Economics, UC Berkeley.
- Neher, Frank, 2012. "Preferences for redistribution around the world," Discussion Papers 2012/2, Free University Berlin, School of Business & Economics.
- Jesus Gonzalez-Garcia & Gonzalo C. Pastor, 2009. "Benfordâ€™s Law and Macroeconomic Data Quality," IMF Working Papers 09/10, International Monetary Fund.
- Bernhard Rauch & Max Göttsche & Gernot Brähler & Stefan Engel, 2011. "Fact and Fiction in EU‐Governmental Economic Data," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 243-255, 08.
- Kalaichelvan, Mohandass & Lim Kai Jie, Shawn, 2012. "A Critical Evaluation of the Significance of Round Numbers in European Equity Markets in Light of the Predictions from Benford’s Law," MPRA Paper 40960, University Library of Munich, Germany.
- Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
- Aldashev, Gani & Guirkinger, Catherine, 2012. "Deadly anchor: Gender bias under Russian colonization of Kazakhstan," Explorations in Economic History, Elsevier, vol. 49(4), pages 399-422.
- Mir, T.A., 2014. "The Benford law behavior of the religious activity data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 1-9.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.