IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/12388.html
   My bibliography  Save this paper

Was Domar Right? Serfdom and Factor Endowments in Bohemia

Author

Listed:
  • Ogilvie, Sheilagh
  • Klein, Alexander

Abstract

Do factor endowments explain serfdom? Domar (1970) conjectured that high land-labor ratios caused serfdom by increasing incentives to coerce labor. But historical evidence is mixed and quantitative analyses are lacking. Using the Acemoglu-Wolitzky (2011) framework and controlling for political economy variables by studying a specific serf society, we analyze 11,349 Bohemian serf villages in 1757. The net effect of higher land-labor ratios was indeed to increase coercion. The effect greatly increased when animal labor was included, and diminished as land-labor ratios rose. Controlling for other variables, factor endowments significantly influenced serfdom. Institutions, we conclude, are shaped partly by economic fundamentals.

Suggested Citation

  • Ogilvie, Sheilagh & Klein, Alexander, 2017. "Was Domar Right? Serfdom and Factor Endowments in Bohemia," CEPR Discussion Papers 12388, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:12388
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP12388
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. James Fenske, 2012. "Land abundance and economic institutions: Egba land and slavery, 1830–1914," Economic History Review, Economic History Society, vol. 65(2), pages 527-555, May.
    2. Kahan, Arcadius, 1973. "Notes on Serfdom in Western and Eastern Europe," The Journal of Economic History, Cambridge University Press, vol. 33(1), pages 86-99, March.
    3. Hatcher, John & Bailey, Mark, 2001. "Modelling the Middle Ages: The History and Theory of England's Economic Development," OUP Catalogue, Oxford University Press, number 9780199244126.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Domar, Evsey D., 1970. "The Causes of Slavery or Serfdom: A Hypothesis," The Journal of Economic History, Cambridge University Press, vol. 30(1), pages 18-32, March.
    6. Stephen Broadberry & Bishnupriya Gupta, 2006. "The early modern great divergence: wages, prices and economic development in Europe and Asia, 1500–1800," Economic History Review, Economic History Society, vol. 59(1), pages 2-31, February.
    7. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    8. Sheilagh Ogilvie, 2001. "The Economic World of the Bohemian Serf: Economic Concepts, Preferences, and Constraints on the Estate of Friedland, 1583–1692[I should l]," Economic History Review, Economic History Society, vol. 54(3), pages 430-453, August.
    9. Alexander Klein & Sheilagh Ogilvie, 2016. "Occupational structure in the Czech lands under the second serfdom," Economic History Review, Economic History Society, vol. 69(2), pages 493-521, May.
    10. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    11. North, Douglass C. & Thomas, Robert Paul, 1971. "The Rise and Fall of the Manorial System: A Theoretical Model," The Journal of Economic History, Cambridge University Press, vol. 31(4), pages 777-803, December.
    12. Federico Belotti & Partha Deb & Willard G. Manning & Edward C. Norton, 2015. "twopm: Two-part models," Stata Journal, StataCorp LP, vol. 15(1), pages 3-20, March.
    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. Quamrul H. Ashraf & Francesco Cinnirella & Oded Galor & Boris Gershman & Erik Hornung, 2017. "Capital-Skill Complementarity and the Emergence of Labor Emancipation," CESifo Working Paper Series 6423, CESifo.
    2. Sellars, Emily A. & Alix-Garcia, Jennifer, 2018. "Labor scarcity, land tenure, and historical legacy: Evidence from Mexico," Journal of Development Economics, Elsevier, vol. 135(C), pages 504-516.
    3. Geloso, Vincent & Kufenko, Vadim & Arsenault-Morin, Alex P., 2023. "The lesser shades of labor coercion: The impact of seigneurial tenure in nineteenth-century Quebec," Journal of Development Economics, Elsevier, vol. 163(C).
    4. Oto-Peralías, Daniel, 2019. "Delegation of Governmental Authority in Historical Perspective: Lordships, State Capacity and Development," SocArXiv k8mzr, Center for Open Science.

    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. Ogilvie, Sheilagh & Carus, A.W., 2014. "Institutions and Economic Growth in Historical Perspective," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 8, pages 403-513, Elsevier.
    2. Irina B. Grafova & Alan C. Monheit & Rizie Kumar, 2020. "How do changes in income, employment and health insurance affect family mental health spending?," Review of Economics of the Household, Springer, vol. 18(1), pages 239-263, March.
    3. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    4. Kevin J. Boyle & Jeffrey M. Wooldridge, 2018. "Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(3), pages 609-635, March.
    5. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    6. Lippi Bruni, Matteo & Mammi, Irene & Ugolini, Cristina, 2016. "Does the extension of primary care practice opening hours reduce the use of emergency services?," Journal of Health Economics, Elsevier, vol. 50(C), pages 144-155.
    7. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    8. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    9. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    10. Nicole M. Mason & Thomas S. Jayne & Nicolas van de Walle, 2017. "The Political Economy of Fertilizer Subsidy Programs in Africa: Evidence from Zambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 705-731.
    11. Higgins, Daniel & Arslan, Aslihan & Winters, Paul, 2021. "What role can small-scale irrigation play in promoting inclusive rural transformation? Evidence from smallholder rice farmers in the Philippines," Agricultural Water Management, Elsevier, vol. 243(C).
    12. Angelo Secchi & Federico Tamagni & Chiara Tomasi, 2016. "Financial constraints and firm exports: accounting for heterogeneity, self-selection, and endogeneity," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 813-827.
    13. Melo, Grace & Ames, Glenn, 2016. "Driving Factors of Rural-Urban Migration in China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235508, Agricultural and Applied Economics Association.
    14. Federico Belotti & Edoardo Di Porto & Gianluca Santoni, 2021. "The effect of local taxes on firm performance: Evidence from geo‐referenced data," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 492-510, March.
    15. Börner, Lars & Severgnini, Battista, 2011. "Epidemic trade," Discussion Papers 2011/12, Free University Berlin, School of Business & Economics.
    16. Josephson, Anna Leigh & Ricker-Gilbert, Jacob & Florax, Raymond J.G.M., 2014. "How does population density influence agricultural intensification and productivity? Evidence from Ethiopia," Food Policy, Elsevier, vol. 48(C), pages 142-152.
    17. Arnd Kölling & Claus Schnabel, 2022. "Owners, external managers and industrial relations in German establishments," British Journal of Industrial Relations, London School of Economics, vol. 60(2), pages 424-443, June.
    18. Erika Raquel Badillo & Rosina Moreno, 2016. "Are Collaborative Agreements in Innovation Activities Persistent at the Firm Level? Empirical Evidence for the Spanish Case," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 49(1), pages 71-101, August.
    19. Ewout Frankema & Marlous van Waijenburg, 2011. "African Real Wages in Asian Perspective, 1880-1940," Working Papers 0002, Utrecht University, Centre for Global Economic History.
    20. Vigren, Andreas, 2020. "The Distance Factor in Swedish Bus Contracts How far are operators willing to go?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 188-204.

    More about this item

    Keywords

    Land-labor ratio; Rural-urban interaction; Serfdom; Institutions; Labor coercion;
    All these keywords.

    JEL classification:

    • J47 - Labor and Demographic Economics - - Particular Labor Markets - - - Coercive Labor Markets
    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    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:cpr:ceprdp:12388. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.