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Project Citation: 

Chen, Chaoran. Replication data for: Untitled Land, Occupational Choice, and Agricultural Productivity. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114099V1

Project Description

Summary:  View help for Summary The prevalence of untitled land in poor countries helps explain the international agricultural productivity differences. Since untitled land cannot be traded across farmers, it creates land misallocation and distorts individuals' occupational choice between farming and working outside agriculture. I build a two-sector general equilibrium model to quantify the impact of untitled land. I find that economies with higher percentages of untitled land would have lower agricultural productivity; land titling can increase agricultural productivity by up to 82.5 percent. About 42 percent of this gain is due to eliminating land misallocation, and the remaining is due to eliminating distortions in individuals' occupational choice.

Scope of Project

Subject Terms:  View help for Subject Terms Macroeconomic Development
JEL Classification:  View help for JEL Classification
      J24 Human Capital; Skills; Occupational Choice; Labor Productivity
      J43 Agricultural Labor Markets
      O13 Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
      P14 Capitalist Systems: Property Rights
      Q12 Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
      Q15 Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
      Q24 Renewable Resources and Conservation: Land
Geographic Coverage:  View help for Geographic Coverage Developing Countries
Data Type(s):  View help for Data Type(s) program source code; aggregate data


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