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LATE for History

Author

Listed:
  • Alberto Bisin
  • Andrea Moro

Abstract

In Historical Economics, Persistence studies document the persistence of some historical phenomenon or leverage this persistence to identify causal relationships of interest in the present. In this chapter, we analyze the implications of allowing for heterogeneous treatment effects in these studies. We delineate their common empirical structure, argue that heterogeneous treatment effects are likely in their context, and propose minimal abstract models that help interpret results and guide the development of empirical strategies to uncover the mechanisms generating the effects.

Suggested Citation

  • Alberto Bisin & Andrea Moro, 2020. "LATE for History," NBER Working Papers 28113, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28113
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    Cited by:

    1. Damian Clarke & Manuel Llorca Jaña & Daniel Pailañir, 2023. "The use of quantile methods in economic history," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 56(2), pages 115-132, April.
    2. Martina Cioni & Giovanni Federico & Michelangelo Vasta, 2022. "Correction to: Persistence studies: a new kind of economic history?," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 309-309, December.
    3. Alberto Bisin & Giovanni Federico, 2021. "Merger or Acquisition? Introduction to the Handbook of Historical Economics," NBER Working Papers 28786, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods

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