Joining Panel Data with Cross-Sections for Efficiency Gains: an Application to a Consumption Equation for Nicaragua
AbstractThis paper explores how cross-sectional data can be exploited jointly with longitudinal data, in order to increase estimation efficiency while properly tackling the potential bias due to unobserved individual characteristics. We propose an innovative procedure and we show its implementation by analysing the determinants of consumption in Nicaragua, based on data from three Living Standard Measurement Study surveys from 1993, 1998 and 2001. The last two rounds constitute an unbalanced longitudinal data set, while the first is a cross-section of different households. Under the assumption that the relationship between observed and unobserved characteristics is homogeneous across time, information from longitudinal data is used to clean the bias in the unpaired sample. In a second step, corrected unpaired observations are used jointly with panel data. This reduces the standard errors of the estimation coefficients and might increase their significance as well, otherwise compromised by the limited variation provided by the short longitudinal data.
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Bibliographic InfoPaper provided by Dipartimento Scienze Economiche, Universita' di Bologna in its series Working Papers with number 619.
Date of creation: Dec 2007
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Other versions of this item:
- Bruno, Randolph Luca & Stampini, Marco, 2007. "Joining Panel Data with Cross-Sections for Efficiency Gains: An Application to a Consumption Equation for Nicaragua," IZA Discussion Papers 3231, Institute for the Study of Labor (IZA).
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
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Open Access publications from Tilburg University
urn:nbn:nl:ui:12-153289, Tilburg University.
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