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A simple solution to the distance puzzle: balanced data and Poisson estimation

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  • David Buehler
  • Roger White

Abstract

We propose the use of a balanced panel data set and Poisson regression as a solution to the distance puzzle. Employing annual data for the period 1972-2010, we confirm the existence of the puzzle by applying OLS regression to both an unbalanced panel data set and a narrowly defined balanced panel. We find that Poisson regression remedies the distance puzzle, producing a constant trend for the distance coefficient when the unbalanced panel is examined and a positive trend for the balanced data. The findings confirm the common intuition that the influence of transport costs on trade flows has decreased over time.

Suggested Citation

  • David Buehler & Roger White, 2015. "A simple solution to the distance puzzle: balanced data and Poisson estimation," Applied Economics Letters, Taylor & Francis Journals, vol. 22(7), pages 587-592, May.
  • Handle: RePEc:taf:apeclt:v:22:y:2015:i:7:p:587-592
    DOI: 10.1080/13504851.2014.959650
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    References listed on IDEAS

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    8. Gabriel J Felbermayr & Wilhelm Kohler, 2014. "Exploring the Intensive and Extensive Margins of World Trade," World Scientific Book Chapters, in: European Economic Integration, WTO Membership, Immigration and Offshoring, chapter 4, pages 115-148, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

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    2. Orestis VRAVOSINOS, 2017. "On the life and death of distance," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(610), S), pages 207-214, Spring.
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    4. Sucharita Ghosh & Donald Lien & Steven Yamarik, 2017. "Does the Confucius Institute Network Impact Cultural Distance? A Panel Data Analysis of Cross-Border Flows in and out of China," Asian Economic Journal, East Asian Economic Association, vol. 31(3), pages 299-323, September.

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