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Panel Data

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Living Standards Analytics

Part of the book series: Statistics for Social and Behavioral Sciences ((SSBS))

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Abstract

Most household survey data come from a single cross-section of households surveyed at a single point in time. This is useful if the purpose is to get a snapshot of income or poverty, and it does allow for a detailed analysis – for instance, of the proximate determinants of health or malnutrition or income. However, it is rarely possible to get an adequate appreciation of dynamic effects – how incomes in a household rise and fall, how households form and re-form – without panel data.

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Notes

  1. 1.

    We used a robust version of the Hausman test, which allows for clustering in the design. Cameron and Trivedi (2009, p. 262) provide details.

References

  • Boonperm, Jirawan, Jonathan Haughton, and Shahidur R. Khandker. 2011. Does the Village Fund matter in Thailand? Suffolk University, Boston.

    Google Scholar 

  • Breen, Richard, and Pasi Moisio. 2004. Poverty dynamics corrected for measurement error. Journal of Economic Inequality 2: 171–191.

    Article  Google Scholar 

  • Cameron, Colin, and Pravin Trivedi. 2009. Microeconometrics using Stata. College Station: Stata Press.

    MATH  Google Scholar 

  • Haughton, Dominique, Jonathan Haughton, Le Thi Thanh Loan, and Nguyen Phong. 2001. Shooting stars and sinking stones. In Living standards during an economic boom: The case of Vietnam, ed. Dominique Haughton, Jonathan Haughton, and Nguyen Phong. Hanoi: Statistical Publishing House.

    Google Scholar 

  • Haughton, Jonathan, and Shahidur Khandker. 2009. Handbook on poverty and inequality. Washington, DC: World Bank.

    Google Scholar 

  • Jalan, Jyotsna, and Martin Ravallion. 1998. Transient poverty in Postreform rural China. Journal of Comparative Economics 26: 338–357.

    Article  Google Scholar 

  • Lee, Nayoung, Geert Rider, and John Strauss. 2010. Estimation of poverty transition matrices with noisy data. Shatin: Chinese University of Hong Kong.

    Google Scholar 

  • Perkins, Dwight. 1994. Industrialization. In Search of the dragons’ trail: Economic reform in Vietnam [Viet Nam cai cach kinh te cheo huong rong bay], ed. Dapice David, Haughton Jonathan, and Perkins Dwight. Hanoi: Political Publishing House [Nha Xuat Ban Chinh Tri Quoc Gia]. 89–101.

    Google Scholar 

  • Vijverberg, Wim, and Jonathan Haughton. 2004. Household enterprises in Vietnam: Survival, growth, and living standards. In Economic growth, poverty, and household welfare in Vietnam, ed. Paul Glewwe, Nisha Agrawal, and David Dollar. Washington, DC: World Bank.

    Google Scholar 

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Correspondence to Dominique Haughton .

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© 2011 Springer Science+Business Media, LLC

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Haughton, D., Haughton, J. (2011). Panel Data. In: Living Standards Analytics. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0385-2_9

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