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Joining Panel Data with Cross-Sections for Efficiency Gains: an Application to a Consumption Equation for Nicaragua

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  • R. Bruno
  • M. Stampini

Abstract

This 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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Paper provided by Dipartimento Scienze Economiche, Universita' di Bologna in its series Working Papers with number 619.

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Date of creation: Dec 2007
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Handle: RePEc:bol:bodewp:619

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  1. Nijman, T.E. & Verbeek, M.J.C.M., 1988. "Estimation of time dependent parameters in linear models using cross sections, panels or both," Research Memorandum, Tilburg University, Faculty of Economics and Business Administration 302, Tilburg University, Faculty of Economics and Business Administration.
  2. Berhman, J.R., 1990. "The action of human resources and poverty on one another: what we have yet to learn," Papers, World Bank - Living Standards Measurement 74, World Bank - Living Standards Measurement.
  3. Marco Stampini & Benjamin Davis, 2003. "Discerning Transient from Chronic Poverty in Nicaragua: Measurement with a two period panel data set," Working Papers, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA) 03-03, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
  4. Pitt, Mark M & Rosenzweig, Mark R & Gibbons, Donna M, 1993. "The Determinants and Consequences of the Placement of Government Programs in Indonesia," World Bank Economic Review, World Bank Group, World Bank Group, vol. 7(3), pages 319-48, September.
  5. Benjamin Davis & Marco Stampini, 2002. "Pathways Towards Prosperity in Rural Nicaragua: Why households drop in and out of poverty, and some policy suggestions on how to keep them out," Working Papers, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA) 02-12, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
  6. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, Elsevier, vol. 30(1-2), pages 109-126.
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