Estimation of Poverty Transition Matrices with Noisy Data

John Strauss, Nayoung Lee and Geert Ridder ()

Working Papers from eSocialSciences

Abstract: 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]

Keywords: Measurement error; Economic mobility; Transition matrix (search for similar items in EconPapers)
Date: 2010-08
New Economics Papers: this item is included in nep-ecm
Note: Institutional Papers
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Estimation of Poverty Transition Matrices with Noisy Data (2017)
Working Paper: Estimation of Poverty Transition Matrices with Noisy Data (2010)
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