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On measuring economic growth from outer space: a single country approach

Author

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  • Víctor M. Guerrero

    (Instituto Tecnológico Autónomo de México (ITAM))

  • Juan A. Mendoza

    (University of Chicago)

Abstract

This article proposes a simple statistical approach to combine nighttime light data with official national income growth figures. The suggested procedure arises from a signal-plus-noise model for official growth along with a constant elasticity relation between observed night lights and income. The methodology implemented in this paper differs from the approach based on panel data for several countries at once that uses World Bank ratings of income data quality for the countries under study to produce an estimate of true economic growth. The new approach: (a) leads to a relatively simple and robust statistical method based only on time series data pertaining to the country under study and (b) does not require the use of quality ratings of official income statistics. For illustrative purposes, some empirical applications are made for Mexico, China and Chile. The results show that during the period of study there was underestimation of economic growth for both Mexico and Chile, while official figures of China over-estimated true economic growth.

Suggested Citation

  • Víctor M. Guerrero & Juan A. Mendoza, 2019. "On measuring economic growth from outer space: a single country approach," Empirical Economics, Springer, vol. 57(3), pages 971-990, September.
  • Handle: RePEc:spr:empeco:v:57:y:2019:i:3:d:10.1007_s00181-018-1464-1
    DOI: 10.1007/s00181-018-1464-1
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    1. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
    2. Elias Papaioannou, 2014. "National Institutions and Subnational Development in Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 151-213.
    3. Hodler, Roland & Raschky, Paul A., 2014. "Economic shocks and civil conflict at the regional level," Economics Letters, Elsevier, vol. 124(3), pages 530-533.
    4. Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
    5. S. Niggol Seo, 2011. "The impacts of climate change on Australia and New Zealand: a Gross Cell Product analysis by land cover," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 220-238, April.
    6. Mariaflavia Harari & Eliana La Ferrara, 2018. "Conflict, Climate, and Cells: A Disaggregated Analysis," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 594-608, October.
    7. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    8. Guerrero, Victor M., 2007. "Time series smoothing by penalized least squares," Statistics & Probability Letters, Elsevier, vol. 77(12), pages 1225-1234, July.
    9. Elliott, Robert J.R. & Strobl, Eric & Sun, Puyang, 2015. "The local impact of typhoons on economic activity in China: A view from outer space," Journal of Urban Economics, Elsevier, vol. 88(C), pages 50-66.
    10. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    11. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
    12. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
    13. Roland Hodler & Paul A. Raschky, 2014. "Regional Favoritism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 995-1033.
    14. Inyoung Kim & Noah D. Cohen & Raymond J. Carroll, 2003. "Semiparametric Regression Splines in Matched Case-Control Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 1158-1169, December.
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    Cited by:

    1. Francisco Corona & Elio Atenógenes Villaseñor & Jesús López-Pérez & Ranyart R. Suárez, 2023. "Estimating Mexican municipal-level economic activity indicators using nighttime lights," Empirical Economics, Springer, vol. 65(3), pages 1197-1214, September.
    2. Rangel González Erick & Llamosas-Rosas Irving, 2021. "Observing the Evolution of the Informal Sector from Space: A Municipal Approach 2013-2020," Working Papers 2021-18, Banco de México.
    3. Jiandong Chen & Ming Gao & Shulei Cheng & Yiyin Xu & Malin Song & Yu Liu & Wenxuan Hou & Shuhong Wang, 2022. "Evaluation and drivers of global low-carbon economies based on satellite data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.

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    More about this item

    Keywords

    Digital number; Generalized least squares; Median; Night lights; Tchebysheff’s theorem;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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