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Spatial Chaining in International Comparisons of Prices and Real Incomes

Author

Listed:
  • Reza Hajargasht

    (Swinburne Business School, Swinburne University of Technology, Australia)

  • Robert J. Hill

    (University of Graz, Austria)

  • D. S. Prasada Rao

    (School of Economics, University of Queensland, Australia)

  • Sriram Shankar

    (ANU Centre for Social Research and Methods & Research School of Economics, Australian National University, Australia)

Abstract

Multilateral international comparisons of the purchasing power of currencies and real income often use as building blocks bilateral comparisons between all possible pairs of countries. The standard approach in the literature weights all these bilaterals equally. One problem with this approach is that some bilaterals are typically of lower quality, and their inclusion therefore can undermine the integrity of the multilateral comparison. Formulating multilateral comparisons as a graph theory problem, we show how quality can be improved by replacing bilateral comparisons with their shortest path spatially chained equivalents. We consider a few variants on this approach, and illustrate these multilateral methods using data from the 2011 round of the International Comparisons Program (ICP). Using some novel bounds criteria, we demonstrate how spatial chaining improves the quality of the overall multilateral comparison.

Suggested Citation

  • Reza Hajargasht & Robert J. Hill & D. S. Prasada Rao & Sriram Shankar, 2018. "Spatial Chaining in International Comparisons of Prices and Real Incomes," Graz Economics Papers 2018-03, University of Graz, Department of Economics.
  • Handle: RePEc:grz:wpaper:2018-03
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    References listed on IDEAS

    as
    1. Porfirio Guevara & Robert Hill & Michael Scholz, 2017. "Hedonic indexes for public and private housing in Costa Rica," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 10(1), pages 140-155, February.
    2. Wendner, Ronald, 2015. "Do positional preferences for wealth and consumption cause inter-temporal distortions?," MPRA Paper 64086, University Library of Munich, Germany.
    3. Rao, D.S. Prasada & Hajargasht, Gholamreza, 2016. "Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP)," Journal of Econometrics, Elsevier, vol. 191(2), pages 414-425.
    4. Sofie R. Waltl, 2016. "A hedonic house price index in continuous time," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 9(4), pages 648-670, October.
    5. Miriam Steurer & Caroline Bayr, 2015. "Quantifying Urban Sprawl using Land Use Data," Graz Economics Papers 2015-06, University of Graz, Department of Economics.
    6. Gabriel Bachner, 2015. "Land Transport Systems under Climate Change: A Macroeconomic Assessment of Adaptation Measures for the Case of Austria," Graz Economics Papers 2015-01, University of Graz, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Hajargasht, Gholamreza & Rao, D.S. Prasada, 2019. "Multilateral index number systems for international price comparisons: Properties, existence and uniqueness," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 36-47.
    2. Laureti, Tiziana & Prasada Rao, D.S., 2018. "Measuring Spatial Price Level Differences within a Country: Current status and Future Developments /Medición de las diferencias de nivel de precios espaciales dentro de un país: Estado actual y evoluc," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 119-148, Enero.
    3. Daniel Reiter, 2020. "Socioeconomic Integration through Language: Evidence from the European Union," Graz Economics Papers 2020-15, University of Graz, Department of Economics.

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    More about this item

    Keywords

    International Comparisons Program (ICP); Price Index; Spatial Chaining; Weighted GEKS; Shortest Path; Spanning tree; Country-Product-Dummy(CPD) Method; Afriat bounds;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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