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Productivity dispersion and persistence among the world's most numerous firms

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  • Maue, Casey C.
  • Burke, Marshall
  • Emerick, Kyle

Abstract

A vast firm productivity literature finds that otherwise similar firms differ widely in their productivity and that these differences persist through time, with important implications for the broader macroeconomy. These stylized facts derive largely from studies of manufacturing firms in wealthy countries, and thus have unknown relevance for the world's most common firm type, the smallholder farm. We use detailed micro data from over 12,000 smallholder farms and nearly 100,000 agricultural plots across four countries in Africa to study the size, source, and persistence of productivity dispersion among smallholder farmers. Applying standard regression-based approaches to measuring productivity residuals, we find much larger dispersion but less persistence than benchmark estimates from manufacturing. We then show, using a novel framework that combines physical output measurement, estimates from satellites, and machine learning, that about half of this discrepancy can be accounted for by measurement error in output. After correcting for measurement error, productivity differences across firms and over time in our smallholder agricultural setting closely match benchmark estimates for non-agricultural firms. These results question some common implications of observed dispersion, such as the importance of misallocation of factors of production.
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  • Maue, Casey C. & Burke, Marshall & Emerick, Kyle, 2020. "Productivity dispersion and persistence among the world's most numerous firms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304287, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea20:304287
    DOI: 10.22004/ag.econ.304287
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    1. Kibrom A. Abay & Leah E. M. Bevis & Christopher B. Barrett, 2021. "Measurement Error Mechanisms Matter: Agricultural Intensification with Farmer Misperceptions and Misreporting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 498-522, March.
    2. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    3. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
    4. James B. Bushnell & Catherine Wolfram, 2009. "The Guy at the Controls: Labor Quality and Power Plant Efficiency," NBER Chapters, in: International Differences in the Business Practices and Productivity of Firms, pages 79-102, National Bureau of Economic Research, Inc.
    5. Calogero Carletto & Sydney Gourlay & Paul Winters, 2015. "Editor's choice From Guesstimates to GPStimates: Land Area Measurement and Implications for Agricultural Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 24(5), pages 593-628.
    6. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    7. Margaret McMillan & Kenneth Harttgen, 2014. "Working Paper - 209 - What is driving the African Growth Miracle," Working Paper Series 2145, African Development Bank.
    8. Udry, Christopher, 1996. "Gender, Agricultural Production, and the Theory of the Household," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1010-1046, October.
    9. Abay, Kibrom A. & Bevis, Leah E.M. & Barrett, Christopher B., 2019. "Measurement Error Mechanisms Matter: Agricultural intensification with farmer misperceptions and misreporting," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295189, African Association of Agricultural Economists (AAAE).
    10. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    11. Lucia S. Foster & Cheryl A. Grim & John Haltiwanger & Zoltan Wolf, 2017. "Macro and Micro Dynamics of Productivity: From Devilish Details to Insights," NBER Working Papers 23666, National Bureau of Economic Research, Inc.
    12. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    13. Marianne Bertrand & Antoinette Schoar, 2003. "Managing with Style: The Effect of Managers on Firm Policies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1169-1208.
    14. Abay, Kibrom A. & Abate, Gashaw T. & Barrett, Christopher B. & Bernard, Tanguy, 2019. "Correlated non-classical measurement errors, ‘Second best’ policy inference, and the inverse size-productivity relationship in agriculture," Journal of Development Economics, Elsevier, vol. 139(C), pages 171-184.
    15. Kraay, Aart & McKenzie, David, 2014. "Do poverty traps exist ?," Policy Research Working Paper Series 6835, The World Bank.
    16. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    17. Alex Cohen, 2019. "Estimating Farm Production Parameters with Measurement Error in Land Area," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 305-334.
    18. Gourlay,Sydney & Kilic,Talip & Lobell,David & Gourlay,Sydney & Kilic,Talip & Lobell,David, 2017. "Could the debate be over ? errors in farmer-reported production and their implications for the inverse scale-productivity relationship in Uganda," Policy Research Working Paper Series 8192, The World Bank.
    19. Abay, Kibrom A. & Abate, Gashaw T. & Barrett, Christopher B. & Bernard, Tanguy, 2018. "Correlated non-classical measurement errors, ‘second best’ policy inference and the inverse size-productivity relationship in agriculture:," IFPRI discussion papers 1710, International Food Policy Research Institute (IFPRI).
    20. McCullough, Ellen B., 2017. "Labor productivity and employment gaps in Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 133-152.
    21. Lobell,David B. & Azzari,George & Marshall,Burke & Gourlay,Sydney & Jin,Zhenong & Kilic,Talip & Murray,Siobhan, 2018. "Eyes in the sky, boots on the ground : assessing satellite- and ground-based approaches to crop yield measurement and analysis in Uganda," Policy Research Working Paper Series 8374, The World Bank.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Desiere, Sam & Jolliffe, Dean, 2018. "Land productivity and plot size: Is measurement error driving the inverse relationship?," Journal of Development Economics, Elsevier, vol. 130(C), pages 84-98.
    24. Virgiliu Midrigan & Daniel Yi Xu, 2014. "Finance and Misallocation: Evidence from Plant-Level Data," American Economic Review, American Economic Association, vol. 104(2), pages 422-458, February.
    25. Carletto,Calogero & Gourlay,Sydney & Winters,Paul Conal & Carletto,Calogero & Gourlay,Sydney & Winters,Paul Conal, 2013. "From guesstimates to GPStimates : land area measurement and implications for agricultural analysis," Policy Research Working Paper Series 6550, The World Bank.
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    Cited by:

    1. Bruno Morando, 2021. "Market access and inefficient cropping patterns in Uganda," Economics Department Working Paper Series n309-21.pdf, Department of Economics, National University of Ireland - Maynooth.
    2. Carletto,Calogero & Dillon,Andrew S. & Zezza,Alberto, 2021. "Agricultural Data Collection to Minimize Measurement Error and Maximize Coverage," Policy Research Working Paper Series 9745, The World Bank.
    3. Porteous, Obie, 2022. "Reverse Dutch disease with trade costs: Prospects for agriculture in Africa's oil-rich economies," Journal of International Economics, Elsevier, vol. 138(C).
    4. Bruno Morando, 2023. "Subsistence Farming and Factor Misallocation: Evidence from Ugandan Agriculture," The World Bank Economic Review, World Bank, vol. 37(4), pages 570-598.
    5. Bruno Morando, 2022. "Aggregate productivity and inefficient cropping patterns in Uganda," Journal of Productivity Analysis, Springer, vol. 58(2), pages 221-237, December.
    6. Bruno Morando & Carol Newman, 2021. "Capital Misallocation, Agricultural Subsidies and Productivity: A European Perspective," Trinity Economics Papers tep0221, Trinity College Dublin, Department of Economics.

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    More about this item

    Keywords

    International Development; Productivity Analysis; Production Economics;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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