Equilibrium Policy Experiments and the Evaluation of Social Programs

By Jeremy Lise, S. Seitz, Jeffrey A. Smith. Social Science Research Network, 2003

171 citations recorded by the source corpus.

This paper makes three primary contributions. First, we demonstrate the usefulness of general equilibrium models as tools with which to draw policy implications for policies implemented in practice only as small-scale social experiments. Second, we illustrate the usefulness of social experiments as a tool to evaluate equilibrium models. In particular, we calibrate our model using only data on an experimental control group and from general data sets, and then use it to predict (in partial equilibrium) the outcomes experienced by an experimental treatment group. We find that it predicts these outcomes remarkably well. Third, we apply our methodology to the evaluation of the Canadian Self-Sufficiency Project (SSP), a policy providing generous financial incentives for Income Assistance (IA) recipients to obtain stable employment. This policy is similar to many other policies designed to 'make work pay' currently under debate or in place in the US, the UK and elsewhere. Our results reveal several important feedback effects associated with the SSP policy; taken together, these feedback effects reverse the cost-benefit conclusions implied by the partial equilibrium experimental evaluation.

Subfields: Economics and Econometrics, Gender Studies, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c7e79af8009e356e015d4ef635f1dcc7dd5978e5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Bruno Crépon
  2. Michael P. Keane
  3. Petra E. Todd
  4. Ken Wolpin
  5. Esther Duflo
  6. Marc Gurgand
  7. Roland Rathelot
  8. James J. Heckman

In Gender Studies

  1. Petra E. Todd
  2. Ken Wolpin
  3. Michael P. Keane
  4. Esther Duflo
  5. Bruno Crépon
  6. Roland Rathelot
  7. Anna Lusardi
  8. Guido W. Imbens

In Statistics and Probability

  1. Bruno Crépon
  2. Ken Wolpin
  3. Esther Duflo
  4. Michael P. Keane
  5. Petra E. Todd
  6. Marc Gurgand
  7. Roland Rathelot
  8. M. Lechner

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