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Newer need not be better: evaluating the Penn World Tables and the World Development Indicators using nighttime lights

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Abstract

Nighttime lights data are a measure of economic activity whose measurement error is plausibly independent of the errors of most conventional indicators. Therefore, we can use nighttime lights as an independent benchmark to assess existing measures of economic activity (Pinkovskiy and Sala-i-Martin 2016). We employ this insight to find out which vintages of the Penn World Tables (PWT) and of the World Development Indicators (WDI) better estimate true income per capita. We find that revisions of the PWT do not necessarily dominate their predecessors in terms of explaining nighttime lights (and thus, of predicting unobserved true income). In particular, we find that the PWT 7.1 chain-based GDP series substantially outperforms the constant-price series in both PWT 8.0 and PWT 8.1, the two most recent vintages of the PWT. We additionally find that the World Development Indicators are as good, and often better, measures of unobserved true income as any recent vintages of the Penn World Tables. Furthermore, we find that each new round of the International Comparisons Programme has improved the WDI?s ability to predict log unobserved true income. We also find that vintages tend to be good or bad at predicting unobserved true income roughly equally across the sample period and do not tend to be particularly good at predicting unobserved income in the year of their price survey. We conclude that GDP series based on unadjusted domestic growth rates alone predict growth rates of true income better than series based on purchasing-power-parity adjustments to growth rates.

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  • Maxim L. Pinkovskiy & Xavier X. Sala-i-Martin, 2016. "Newer need not be better: evaluating the Penn World Tables and the World Development Indicators using nighttime lights," Staff Reports 778, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:778
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    2. Stelios Michalopoulos & Elias Papaioannou, 2018. "Spatial Patterns of Development: A Meso Approach," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 383-410, August.
    3. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
    4. Christopher J. Fariss & Therese Anders & Jonathan N. Markowitz & Miriam Barnum, 2022. "New Estimates of Over 500 Years of Historic GDP and Population Data," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(3), pages 553-591, April.
    5. Roger, Lionel, 2019. "A replication of "The long-run impact of foreign aid in 36 African countries: Insights from multivariate time series analysis" (Oxford Bulletin of Economics and Statistics, 2014)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-53.
    6. Majdi Debbich, 2019. "Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17," IMF Working Papers 2019/221, International Monetary Fund.
    7. Paul Johnson & Chris Papageorgiou, 2020. "What Remains of Cross-Country Convergence?," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 129-175, March.
    8. Campbell, Susanna G. & Üngör, Murat, 2020. "Revisiting human capital and aggregate income differences," Economic Modelling, Elsevier, vol. 91(C), pages 43-64.
    9. Adhvaryu, Achyuta & Fenske, James & Khanna, Gaurav & Nyshadham, Anant, 2021. "Resources, conflict, and economic development in Africa," Journal of Development Economics, Elsevier, vol. 149(C).
    10. Verme, Paolo & Schuettler, Kirsten, 2021. "The impact of forced displacement on host communities: A review of the empirical literature in economics," Journal of Development Economics, Elsevier, vol. 150(C).
    11. Pui Sun Tam, 2018. "Economic Transition and Growth Dynamics in Asia: Harmony or Discord?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 361-387, September.
    12. Clark, Hunter & Pinkovskiy, Maxim & Sala-i-Martin, Xavier, 2020. "China's GDP growth may be understated," China Economic Review, Elsevier, vol. 62(C).
    13. Kacprzyk, Andrzej & Kuchta, Zbigniew, 2020. "Shining a new light on the environmental Kuznets curve for CO2 emissions," Energy Economics, Elsevier, vol. 87(C).
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    15. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    16. Pavel S. Pronin, 2020. "International Trade And Democracy: How Trade Partners Affect Regime Change And Persistence," HSE Working papers WP BRP 75/PS/2020, National Research University Higher School of Economics.
    17. Masayuki Kudamatsu, 2019. "Observing Economic Growth in Unrecognized States with Nighttime Light," OSIPP Discussion Paper 19E002, Osaka School of International Public Policy, Osaka University.
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    19. Roberto Samaniego & Juliana Sun, 2020. "The Relative Price of Capital and Economic Structure," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 127-155, July.

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    More about this item

    Keywords

    measurement; nighttime lights; GDP;
    All these keywords.

    JEL classification:

    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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