Robin-Hooding Rents: Exploiting the Pecuniary Effects of In-Kind Programs

39 Pages Posted: 28 Jun 2004 Last revised: 10 Oct 2022

See all articles by Richard J. Zeckhauser

Richard J. Zeckhauser

Harvard University - Harvard Kennedy School (HKS); National Bureau of Economic Research (NBER)

Stephen Coate

Cornell University - Department of Economics; National Bureau of Economic Research (NBER)

Stephen Johnson

Decision Research

Date Written: July 1992

Abstract

The pecuniary effects of cash and in-kind programs differ. A program that builds housing for the poor, for example, is likely to result in a lower price of existing low-income housing than would an equally costly cash transfer program. Low-income renters in general would benefit; landlords would lose. The process we label Robin-Hooding rents employs in-kind programs to transfer rents from one group in society to another, Direct taxation of "donor" groups may be infeasible because their incomes can't be monitored, they are engaged in illegal activities, they are foreign, or the government's administrative apparatus is ineffective. A general equilibrium analysis reveals that absent the ability to target taxation, Robin-Hooding may be a valuable second-best transfer instrument. Robin-Hooding also has drawbacks, Its incentive effects are significant, for today's rents flow from yesterday's investment activities. Moreover, even when Robin-Hooding is undesirable, parochial government agencies may be tempted to employ it as a means to escape the scrutiny of the budget process. The real world use of Robin-Hooding in both developed and developing nations is discussed.

Suggested Citation

Zeckhauser, Richard J. and Coate, Stephen and Johnson, Stephen, Robin-Hooding Rents: Exploiting the Pecuniary Effects of In-Kind Programs (July 1992). NBER Working Paper No. w4125, Available at SSRN: https://ssrn.com/abstract=226806

Richard J. Zeckhauser (Contact Author)

Harvard University - Harvard Kennedy School (HKS) ( email )

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Stephen Coate

Cornell University - Department of Economics ( email )

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Stephen Johnson

Decision Research

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