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Estimation of Poverty Transition Matrices with Noisy Data

  • John Strauss
  • Nayoung Lee
  • Geert Ridder


This paper investigates potential measurement error biases in estimated poverty transition matrices. Transition matrices based on survey expenditure data has been compared to transition matrices based on measurement-error-free simulated expenditure. The simulation model uses estimates that correct for measurement error in expenditure. This dynamic model needs error-free initial conditions that can not be derived from these estimates. [Working Paper No. 270]

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Paper provided by eSocialSciences in its series Working Papers with number id:2796.

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Date of creation: Aug 2010
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Handle: RePEc:ess:wpaper:id:2796
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