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The Importance of Specification Choices When Analyzing Sectoral Productivity Gaps

Author

Listed:
  • Merfeld, Joshua D.

    (KDI School of Public Policy and Management)

  • Brummund, Peter

    (University of Alabama)

Abstract
A consistent finding in the development literature is that average non-farm labor productivity is higher than average farm labor productivity. These differences in average productivity are sometimes used to promote policies which advance the non-farm sector. In this paper, we analyze the importance of two specification choices when comparing productivity gaps, using detailed household panel data from Malawi. Importantly, we are able to calculate both average revenue products (ARPLs) – similar to most of the sectoral productivity gap literature – as well as marginal revenue products (MRPLs). We show that the choice of productivity measure combined with the choice of production function specification can lead to different sectoral productivity rankings. MRPLs from translog production functions suggest the household farm sector is more productive than the household non-farm sector, while MRPLs from a Cobb-Douglas and ARPLs from both a translog and a Cobb-Douglas find the opposite ranking.

Suggested Citation

  • Merfeld, Joshua D. & Brummund, Peter, 2021. "The Importance of Specification Choices When Analyzing Sectoral Productivity Gaps," IZA Discussion Papers 14864, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp14864
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    References listed on IDEAS

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    1. Peter Brummund & Joshua D. Merfeld, 2022. "Should farmers farm more? Comparing marginal products within Malawian households," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 289-306, March.
    2. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "Agricultural Productivity Differences across Countries," American Economic Review, American Economic Association, vol. 104(5), pages 165-170, May.
    3. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    4. Berthold Herrendorf & Todd Schoellman, 2015. "Why is Measured Productivity so Low in Agriculture?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 1003-1022, October.
    5. Tasso Adamopoulos & Diego Restuccia, 2020. "Land Reform and Productivity: A Quantitative Analysis with Micro Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(3), pages 1-39, July.
    6. Joseph Cooper & A. Nam Tran & Steven Wallander, 2017. "Testing for Specification Bias with a Flexible Fourier Transform Model for Crop Yields," American Journal of Agricultural Economics, John Wiley & Sons, vol. 99(3), pages 800-817, April.
    7. repec:oup:qjecon:v:129:y:2014:i:2:p:939-993. is not listed on IDEAS
    8. Gibson, John & Olivia, Susan & Boe-Gibson, Geua & Li, Chao, 2021. "Which night lights data should we use in economics, and where?," Journal of Development Economics, Elsevier, vol. 149(C).
    9. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 903-921.
    10. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    11. David Lagakos, 2020. "Urban-Rural Gaps in the Developing World: Does Internal Migration Offer Opportunities?," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 174-192, Summer.
    12. Joseph Cooper & A. Nam Tran & Steven Wallander, 2017. "Testing for Specification Bias with a Flexible Fourier Transform Model for Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 800-817.
    13. Joan Hamory & Marieke Kleemans & Nicholas Y Li & Edward Miguel, 2021. "Reevaluating Agricultural Productivity Gaps with Longitudinal Microdata," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1522-1555.
    14. Berthold Herrendorf & Todd Schoellman, 2018. "Wages, Human Capital, and Barriers to Structural Transformation," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(2), pages 1-23, April.
    15. 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.
    16. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    17. McCullough, Ellen B., 2017. "Labor productivity and employment gaps in Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 133-152.
    18. Diego Restuccia & Richard Rogerson, 2013. "Misallocation and productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 1-10, January.
    19. Todd Schoellman, 2012. "Education Quality and Development Accounting," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 388-417.
    20. Dillon, Brian & Barrett, Christopher B., 2017. "Agricultural factor markets in Sub-Saharan Africa: An updated view with formal tests for market failure," Food Policy, Elsevier, vol. 67(C), pages 64-77.
    21. Davis, Benjamin & Di Giuseppe, Stefania & Zezza, Alberto, 2017. "Are African households (not) leaving agriculture? Patterns of households’ income sources in rural Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 153-174.
    22. Sherman Robinson & Hans Meijl & Dirk Willenbockel & Hugo Valin & Shinichiro Fujimori & Toshihiko Masui & Ron Sands & Marshall Wise & Katherine Calvin & Petr Havlik & Daniel Mason d'Croz & Andrzej Tabe, 2014. "Comparing supply-side specifications in models of global agriculture and the food system," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 21-35, January.
    23. Nagler, Paula & Naudé, Wim, 2017. "Non-farm entrepreneurship in rural sub-Saharan Africa: New empirical evidence," Food Policy, Elsevier, vol. 67(C), pages 175-191.
    24. Gerald C. Nelson & Dominique Mensbrugghe & Helal Ahammad & Elodie Blanc & Katherine Calvin & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campen & Martin Lampe & Daniel Ma, 2014. "Agriculture and climate change in global scenarios: why don't the models agree," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 85-101, January.
    25. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "The Agricultural Productivity Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 939-993.
    26. Chang‐Tai Hsieh & Erik Hurst & Charles I. Jones & Peter J. Klenow, 2019. "The Allocation of Talent and U.S. Economic Growth," Econometrica, Econometric Society, vol. 87(5), pages 1439-1474, September.
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    More about this item

    Keywords

    non-farm production; agriculture; labor productivity;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J43 - Labor and Demographic Economics - - Particular Labor Markets - - - Agricultural Labor Markets
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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