IDEAS home Printed from https://ideas.repec.org/p/grz/wpaper/2018-03.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://unipub.uni-graz.at/obvugrveroeff/download/pdf/9585173?originalFilename=true
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:grz:wpaper:2015-05 is not listed on IDEAS
    2. repec:grz:wpaper:2015-03 is not listed on IDEAS
    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. Wendner, Ronald, 2015. "Do positional preferences for wealth and consumption cause inter-temporal distortions?," MPRA Paper 64086, University Library of Munich, Germany.
    5. repec:grz:wpaper:2015-01 is not listed on IDEAS
    6. repec:grz:wpaper:2015-06 is not listed on IDEAS
    7. repec:grz:wpaper:2015-04 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Schünemann, Johannes & Trimborn, Timo, 2023. "Boosting taxes for boasting about houses? Status concerns in the housing market," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 120-143.
    3. Christoph Kuzmics & Daniel Rodenburger, 2018. "A case of evolutionary stable attainable equilibrium in the lab," Graz Economics Papers 2018-05, University of Graz, Department of Economics.
    4. Consuelo Nava & Maria Grazia Zoia, 2019. "An econometric analysis of the Italian cultural supply," Papers 1910.00073, arXiv.org, revised May 2020.
    5. Yadira Mori Clement & Birgit Bednar-Friedl, 2017. "Do Clean Development Mechanism projects generate local employment? Testing for sectoral effects across Brazilian municipalities," Graz Economics Papers 2017-05, University of Graz, Department of Economics.
    6. Hof, Franz X. & Prettner, Klaus, 2019. "The quest for status and R&D-based growth," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 290-307.
    7. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2018. "Choice of Benchmark When Forecasting Long-term Stock Returns," Graz Economics Papers 2018-08, University of Graz, Department of Economics.
    8. Laureti Tiziana & Polidoro Federico, 2022. "Using Scanner Data for Computing Consumer Spatial Price Indexes at Regional Level: An Empirical Application for Grocery Products in Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 23-56, March.
    9. Andreas Darmann & Julia Grundner & Christian Klamler, 2017. "Consensus in the 2015 Provincial Parliament Election in Styria, Austria: Voting Rules,Outcomes, and the Condorcet Paradox," Graz Economics Papers 2017-13, University of Graz, Department of Economics.
    10. von Auer, Ludwig & Weinand, Sebastian, 2022. "A nonlinear generalization of the country-product-dummy method," Discussion Papers 45/2022, Deutsche Bundesbank.
    11. Chunyun Wang & Xiaoxi Yu & Jiang Zhao, 2022. "Identifying the Real Income Disparity in Prefecture-Level Cities in China: Measurement of Subnational Purchasing Power Parity Based on the Stochastic Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    12. Jonas Dovern & Hans Manner, 2020. "Order‐invariant tests for proper calibration of multivariate density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 440-456, June.
    13. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.
    14. Adam Gorajek, 2018. "Econometric Perspectives on Economic Measurement," RBA Research Discussion Papers rdp2018-08, Reserve Bank of Australia.
    15. Cassetta, Ernesto & Nava, Consuelo R. & Zoia, Maria Grazia, 2022. "A three-step procedure to investigate the convergence of electricity and natural gas prices in the European Union," Energy Economics, Elsevier, vol. 105(C).
    16. Gholamreza Hajargasht, 2022. "Reliability of Ideal Indexes," Papers 2210.13684, arXiv.org.
    17. Chihiro Shimizu & Erwin Diewert, 2023. "Scanner Data, Product Churn and Quality Adjustment," Working Papers e185, Tokyo Center for Economic Research.
    18. Joern Kleinert, 2018. "Globalization Effects on the Distribution of Income," Graz Economics Papers 2018-07, University of Graz, Department of Economics.
    19. Nian Yang & Jun Yang & Yu Chen, 2018. "Contracting in a Continuous-Time Model with Three-Sided Moral Hazard and Cost Synergies," Graz Economics Papers 2018-06, University of Graz, Department of Economics.
    20. Diewert, Erwin, 2019. "Quality Adjustment and Hedonics: A Unified Approach," Microeconomics.ca working papers erwin_diewert-2019-2, Vancouver School of Economics, revised 14 Mar 2019.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:grz:wpaper:2018-03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stefan Borsky (email available below). General contact details of provider: https://edirc.repec.org/data/vgrazat.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.