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Economies Of Scale In The Household: Puzzles And Patterns From The American Past

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  • TREVON D. LOGAN

Abstract

Household economies of scale arise when households with multiple members share public goods, making larger households better off at lower per capita expenditures. While estimates of household economies of scale are critical for measuring income and living standards, we do not know how these scale economies change over time. I use American household expenditure surveys to produce the first comparable historical estimates of household scale economies. I find that scale economies changed significantly from 1888 to 1935 for all expenditure categories considered (food, clothing, entertainment, and housing), but not all trends in scale economies are consistent with theoretical predictions. I use these historical estimates of household scale economies to resolve several theoretical and empirical puzzles in the literature. I find that existing explanations for puzzles in the household economies of scale literature do not hold in the past. As such, our notions about household economies of scale must be reassessed in light of this historical evidence.
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  • Trevon D. Logan, 2011. "Economies Of Scale In The Household: Puzzles And Patterns From The American Past," Economic Inquiry, Western Economic Association International, vol. 49(4), pages 1008-1028, October.
  • Handle: RePEc:bla:ecinqu:v:49:y:2011:i:4:p:1008-1028
    DOI: j.1465-7295.2009.00240.x
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    Cited by:

    1. Akresh, Richard & Edmonds, Eric V., 2010. "The Analytical Returns to Measuring a Detailed Household Roster," IZA Discussion Papers 4759, Institute of Labor Economics (IZA).
    2. Md. Matiur Rahman & Seung-Hoon Jeon & Kyoung-Soo Yoon, 2020. "Estimation of Equivalence Scale and Assessment of Its Impact on Poverty Measurement in Bangladesh," Sustainability, MDPI, vol. 12(21), pages 1-13, October.
    3. Timothy J. Halliday, 2010. "Mismeasured Household Size and its Implications for the Identification of Economies of Scale," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 246-262, April.
    4. Alejandrina Salcedo & Todd Schoellman & Michèle Tertilt, 2012. "Families as roommates: Changes in U.S. household size from 1850 to 2000," Quantitative Economics, Econometric Society, vol. 3(1), pages 133-175, March.
    5. Tscharaktschiew, Stefan & Hirte, Georg, 2010. "How does the household structure shape the urban economy?," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 498-516, November.
    6. Echeverría, Lucía & Molina, José Alberto, 2022. "Exploring household heterogeneities of the Deaton-Paxson puzzle: Evidence for Argentina," Nülan. Deposited Documents 3622, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    7. Sanae Tashiro, 2009. "Differences in Food Preparation by Race and Ethnicity: Evidence from the American Time Use Survey," The Review of Black Political Economy, Springer;National Economic Association, vol. 36(3), pages 161-180, December.
    8. Stefan Öberg, 2015. "Sibship size and height before, during, and after the fertility decline," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(2), pages 29-74.
    9. Jayasinghe, Maneka & Chai, Andreas & Ratnasiri, Shyama & Smith, Christine, 2017. "The power of the vegetable patch: How home-grown food helps large rural households achieve economies of scale & escape poverty," Food Policy, Elsevier, vol. 73(C), pages 62-74.
    10. Gutierrez, Federico H., 2018. "A Sharing Model of the Household: Explaining the Deaton-Paxson Paradox and Computing Household Indifference Scales," GLO Discussion Paper Series 166, Global Labor Organization (GLO).
    11. Schneider, Kate R., 2022. "Nationally representative estimates of the cost of adequate diets, nutrient level drivers, and policy options for households in rural Malawi," Food Policy, Elsevier, vol. 113(C).
    12. Schneider, Kate, 2021. "Nationally Representative Estimates of the Cost of Adequate Diets, Nutrient Level Drivers, and Policy Options for Households in Rural Malawi," 2021 Conference, August 17-31, 2021, Virtual 315035, International Association of Agricultural Economists.
    13. Trevon D. Logan, 2008. "Are Engel Curve Estimates of CPI Bias Biased?," NBER Working Papers 13870, National Bureau of Economic Research, Inc.
    14. Berendeeva, Ekaterina & Ratnikova, Tatiana, 2016. "The Deaton–Paxson paradox in the consumption of Russian households," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 54-74.
    15. Jacobson, David & Mavrikiou, Petroula M. & Minas, Christos, 2010. "Household size, income and expenditure on food: The case of Cyprus," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 39(2), pages 319-328, April.
    16. Henderson, Heath & Follett, Lendie, 2022. "Targeting social safety net programs on human capabilities," World Development, Elsevier, vol. 151(C).
    17. Maneka Jayasinghe & Christine Smith, 2021. "Poverty Implications of Household Headship and Food Consumption Economies of Scales: A Case Study from Sri Lanka," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 157-185, May.
    18. Karbasi, A. & Mohammadzadeh, S.H., 2018. "Estimating Household Expenditure Economies of Scale in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277152, International Association of Agricultural Economists.
    19. Donald Vitaliano, 2015. "A note on the ‘food paradox’: some contradictory evidence," Review of Economics of the Household, Springer, vol. 13(4), pages 1043-1053, December.
    20. Shari Eli & Nicholas Li, 2015. "Caloric Requirements and Food Consumption Patterns of the Poor," NBER Working Papers 21697, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

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