Statistical Manipulation: An Analysis of Potential Economic Data Tampering

Ryan Coutu, Oltiana Muharremi
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Abstract


Information on a country’s economy is important for many parties, including domestic politicians, potential investors, and international financial institutions. However, an individual country’s official statistics are generated and published by the governing body, creating the opportunity for manipulation of these measures. Our research is based on the assumptions that all governments are incentivized to exaggerate economic metrics and that stricter measures on civil liberties, like speech and media, allow for this manipulation to remain. We identified two variables suitable for proxying economic growth, per capita Health Care Expenditure (HCE) and per person electricity consumption to compare to the stated economic data. We utilized a Fixed Effect-OLS regression to find the relationship between these proxy variables and Gross Domestic Product dependent on government type for 151 countries from 2000-2020. Our research revealed that, despite two government-type indicators, the relationship between electricity consumption and GDP was greater with more autocratic governments. This provides evidence to support that autocratic governments may manipulate their economic data. This research expands upon the literature on the role both corruption and government style have on GDP, as well as providing additional evidence that governments may have manipulated economic statistics.

Keywords


Corruption, Autocracy, Statistics, Manipulation

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References


Ak, R. (2012). The relationship between health expenditure and economic growth: Turkish case. International Journal Business Management Economic Research (IJBMER), 3(1), 404-409.

Alon, I., Li, S., & Wu, J. (2016). Corruption, regime type, and economic growth. Public Finance and Management, 16(4), 332-361.

Andries, A., Morse, S., Murphy, R. J., Lynch, J., & Woolliams, E. R. (2022). Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future. Sustainability, 14(3), 1191. https://doi.org/10.3390/su14031191

Andrzej Cieślik, & Łukasz Goczek. (2018). Control of corruption, international investment, and economic growth – Evidence from panel data. World Development, 103, 323-335. https://doi.org/10.1016/j.worlddev.2017.10.028

Bedir, S. (2016). Healthcare Expenditure and Economic Growth in Developing Countries. Advances in Economics and Business, 4(2), 76-86. http://www.hrpub.org DOI: 10.13189/aeb.2016.040202

Bhargava, A., Jamison, D. T., Lau, L., & Murray, C. J. L. (2001). Modeling the effects of health on economic growth. GPE Discussion Paper Series: No. 33.

Bloom, D. E., Canning, D., & Sevilla, J. (2001). The effects of health on economic growth: theory and evidence. Working Paper 8587, National Bureau of Economic Research.

Bruzelius, E., Le, M., Kenny, A., Downey, J., Danieletto, M., Baum, A., Doupe, P., Silva, B., Landrigan, P. J., & Singh, P. (2019). Satellite images and machine learning can identify remote communities to facilitate access to health services. Journal of the American Medical Informatics Association, 26(8-9), 806-812. https://doi.org/10.1093/jamia/ocz111.

Clark, H., Pinkovskiy, M., & Sala-i Martin, X. (2017). China’s GDP Growth May be Understated. NBER Working Paper 23323.

Elmi, Z. M., & Sadeghi, S. (2012). Health Care Expenditures and Economic Growth in Developing Countries: Panel Co-Integration and Causality. Middle East Journal of Scientific Research, 12(1), 88-91. DOI: 10.5829/idosi.mejsr.2012.12.1.64196

Frajman Ivković, A. (2016). LIMITATIONS OF THE GDP AS A MEASURE OF PROGRESS AND WELL-BEING. Ekonomski vjesnik/Econviews - Review of Contemporary Business, Entrepreneurship and Economic Issues, 29(1), 257–272.

Freedom House. (2017). Populists and Autocrats: The Dual Threat to Global Democracy. Freedom in the World Report 2017.

Gehlbach, S., Sonin, K., & Svolik, M. W. (2016). Formal Models of Nondemocratic Politics. Annual Review of Political Science, 19(1), 565–584.

Hanf M, Van-Melle A, Fraisse F, Roger A, Carme B, et al. (2011). Corruption Kills: Estimating the Global Impact of Corruption on Children Deaths. PLOS ONE, 6(11), e26990.

Henderson, J. V., Storeygard, A., & Weil, D. N. (2012). Measuring Economic Growth from Outer Space. American Economic Review, 102(2), 994-1028.

Jerven, M. (2011). Users and producers of African income: Measuring the progress of African economies. African Affairs, 110(439), 169–190.

Kander, A., Malanima, P., & Warde, P. (2013). Power to the People: Energy in Europe over the Last Five Centuries (Vol. 46). Princeton University Press. https://doi.org/10.2307/j.ctt4cgb93

Kanybek Nur-tegin & Hans J. Czap. (2012). Corruption: Democracy, Autocracy, and Political Stability. Economic Analysis and Policy, 42(1), 51-66.

Khan AR, Abedin S, Rahman MM, Khan S (2022) Effects of corruption and income inequality on the reported number of COVID-19 cases and deaths: Evidence from a time series cross-sectional data analysis. PLOS Glob Public Health, 2(11), e0001157.

King, D. (1997). The Commissar Vanishes: The Falsification of Photographs and Art in Stalin’s Russia. Canongate Books.

King, G., Pan, J., & Roberts, M. E. (2013). How Censorship in China Allows Government Criticism but Silences Collective Expression. American Political Science Review, 107(2), 1–18.

King, G., Pan, J., & Roberts, M. E. (2017). How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument. American Political Science Review, 111(3), 484–501.

Kraipornsak, P. (2018). Good Governance and Economic Growth: An Investigation Of Thailand And Selected Asian Countries. Eurasian Journal of Economics and Finance, 6(1), 93-106. DOI: 10.15604/ejef.2018.06.01.009

Li, H., & Huang, L. (2009). Health, education, and economic growth in China: empirical findings and implications. China Economic Review, 20, 374-387.

Lucas, E. (2022). How Autocrats Undermine Media Freedom. Journal of Democracy, 33(1), 131-146. doi:10.1353/jod.2022.0009.

Madisson, A. (2006). Do Official Statistics Exaggerate China’s GDP Growth? A Reply to Carsten Holz. Review of Income and Wealth, 52(1), 121–126.

Martinez, L. R. (2018). How Much Should We Trust the Dictator’s GDP Growth Estimates? Journal of Political Economy, 130(10), 2731-2769. doi:10.1086/720458

Mayer, D. (2001). The long-term impact of health on economic growth in Latin America. World Development, 29(6), 1025-1033.

McMann, Kelly M., & Tisch, Daniel J. (2023). How Lower Levels of Corruption in Democracies Prevented COVID Deaths. V-Dem Working Paper 2023:139.

Mehrotra, A., & P¨a¨akk¨onen, J. (2011). Comparing China’s GDP Statistics with Coincident Indicators. Journal of Comparative Economics, 39(3), 406–411.

Merridale, C. (1996). The 1937 Census and the Limits of Stalinist Rule. The Historical Journal, 39(1), 225–240.

Mushkin, S. J. (1962). Health as an Investment. Journal of Political Economy, 70(5), 129-157.

Nakamura, E., Steinsson, J., & Liu, M. (2016). Are Chinese Growth and Inflation Too Smooth? Evidence from Engel Curves. American Economic Journal: Macroeconomics, 8(3), 113–144.

Saha, S., & Sen, K. (2021). The corruption–growth relationship: Does the political regime matter? Journal of Institutional Economics, 17(2), 243-266. doi:10.1017/S1744137420000375

Sandefur, J., & Glassman, A. (2015). The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics. Journal of Development Studies, 51(2), 116–132. DOI: 10.1080/00220388.2014.968138

Silver, M. (2007). Core Inflation: Measurement and Statistical Issues in Choosing among Alternative Measures. IMF Staff Papers, 54(1), 163–190.

Stern, D. I, Burke, P. J, & Bruns, S. B. (2019). The Impact of Electricity on Economic Development: A Macroeconomic Perspective. UC Berkeley: Center for Effective Global Action. Retrieved from https://escholarship.org/uc/item/7jb0015q

Thach, N., Duong, M., & Tran, O. (2017). Effects of Corruption on Economic Growth - Empirical Study of Asia Countries.

Young, A. (2003). Gold into Base Metals: Productivity Growth in the People’s Republic of China during the Reform Period. Journal of Political Economy, 111(6), 1220–1261.

Zaloznaya, M. (2015). Does Authoritarianism Breed Corruption? Reconsidering the Relationship Between Authoritarian Governance and Corrupt Exchanges in Bureaucracies. Law & Social Inquiry, 40(2), 345–376. JSTOR. Accessed 15 Sept. 2023.




DOI: https://doi.org/10.46328/ijonest.221

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