IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/51055.html
   My bibliography  Save this paper

Measuring Economic Growth from Outer Space: A Comment

Author

Listed:
  • Berliant, Marcus
  • Weiss, Adam

Abstract

We examine econometric and elementary economic theory issues arising from the model specification in Henderson, Storeygard and Weil (2012), that uses night light data to proxy for missing or unreliable GDP growth data. An alternative approach based on the expenditure function is outlined. It can accommodate prices as well as quantity information from other commodity markets.

Suggested Citation

  • Berliant, Marcus & Weiss, Adam, 2013. "Measuring Economic Growth from Outer Space: A Comment," MPRA Paper 51055, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:51055
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/51055/1/MPRA_paper_51055.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jerison, Michael, 1984. "Aggregation and pairwise aggregation of demand when the distribution of income is fixed," Journal of Economic Theory, Elsevier, vol. 33(1), pages 1-31, June.
    2. 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.
    3. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jingxu Wang & Shike Qiu & Jun Du & Shengwang Meng & Chao Wang & Fei Teng & Yangyang Liu, 2022. "Spatial and Temporal Changes of Urban Built-Up Area in the Yellow River Basin from Nighttime Light Data," Land, MDPI, vol. 11(7), pages 1-14, July.
    2. Frank Bickenbach & Eckhardt Bode & Peter Nunnenkamp & Mareike Söder, 2016. "Night lights and regional GDP," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(2), pages 425-447, May.
    3. Xu Shengxia & Liu Qiang & Lu Xiaoli, 2021. "Measuring the Imbalance of Regional Development from Outer Space in China," Journal of Systems Science and Information, De Gruyter, vol. 9(5), pages 519-532, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christophe Muller & Pierre Pecher, 2018. "Transborder Ethnic Kin and Local Prosperity: Evidence from Night-Time Light Intensity in Africa," Working Papers halshs-01801170, HAL.
    2. Lin, Ying & Yang, Xiuyun & Li, Yanan & Yao, Shunbo, 2020. "The effect of forest on PM2.5 concentrations: A spatial panel approach," Forest Policy and Economics, Elsevier, vol. 118(C).
    3. Seiffert, Sebastian, 2015. "The Role of Economic Geography in Subnational African Development," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113186, Verein für Socialpolitik / German Economic Association.
    4. repec:rri:wpaper:201303 is not listed on IDEAS
    5. Alfred Garloff & Carsten Pohl & Norbert Schanne, 2013. "Do small labor market entry cohorts reduce unemployment?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(15), pages 379-406.
    6. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    7. Corral, Leonardo R. & Schling, Maja, 2017. "The impact of shoreline stabilization on economic growth in small island developing states," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 210-228.
    8. Baltagi, Badi H. & Yen, Yin-Fang, 2014. "Hospital treatment rates and spillover effects: Does ownership matter?," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 193-202.
    9. Jan Jacobs & Jenny Ligthart & Hendrik Vrijburg, 2010. "Consumption tax competition among governments: Evidence from the United States," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 17(3), pages 271-294, June.
    10. Hayakawa, Kazunobu & Keola, Souknilanh & Silaphet, Korrakoun & Yamanouchi, Kenta, 2022. "Estimating the impacts of international bridges on foreign firm locations: a machine learning approach," IDE Discussion Papers 847, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    11. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    12. Beyer, Robert C.M. & Franco-Bedoya, Sebastian & Galdo, Virgilio, 2021. "Examining the economic impact of COVID-19 in India through daily electricity consumption and nighttime light intensity," World Development, Elsevier, vol. 140(C).
    13. Boslett, Andrew & Hill, Elaine & Ma, Lala & Zhang, Lujia, 2021. "Rural light pollution from shale gas development and associated sleep and subjective well-being," Resource and Energy Economics, Elsevier, vol. 64(C).
    14. Merima Ali & Odd-Helge Fjeldstad & Boqian Jiang & Abdulaziz B Shifa, 2019. "Colonial Legacy, State-building and the Salience of Ethnicity in Sub-Saharan Africa," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1048-1081.
    15. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," CESifo Working Paper Series 5428, CESifo.
    16. Yu Kun Wang & Li Zhang, 2022. "Tax Revenue, Night Lights and Underground Economy: Evidence from China," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 8(2), pages 186-198.
    17. Sumit Agarwal & Thomas Kigabo & Ms. Camelia Minoiu & Mr. Andrea F Presbitero & Andre Silva, 2018. "Financial Access Under the Microscope," IMF Working Papers 2018/208, International Monetary Fund.
    18. Julian Donaubauer & Peter Kannen & Frauke Steglich, 2022. "Foreign Direct Investment & Petty Corruption in Sub-Saharan Africa: An Empirical Analysis at the Local Level," Journal of Development Studies, Taylor & Francis Journals, vol. 58(1), pages 76-95, January.
    19. Huang, Siyu & Shi, Yi & Chen, Qinghua & Li, Xiaomeng, 2022. "The growth path of high-tech industries: Statistical laws and evolution demands," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    20. Flückiger, Matthias & Ludwig, Markus, 2015. "Economic shocks in the fisheries sector and maritime piracy," Journal of Development Economics, Elsevier, vol. 114(C), pages 107-125.
    21. Andaleeb Rahman & Sumit Mishra, 2020. "Does Non-farm Income Affect Food Security? Evidence from India," Journal of Development Studies, Taylor & Francis Journals, vol. 56(6), pages 1190-1209, June.

    More about this item

    Keywords

    GDP; Night light data; Omitted variable; Expenditure function; Spatial autocorrelation;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:51055. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.