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Computing Sub-national PPPs with CPI Data: An Empirical Analysis on Italian Data Using Country Product Dummy Models

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  • Luigi Biggeri

    (University of Florence)

  • Tiziana Laureti

    (University of Tuscia)

  • Federico Polidoro

    (Istat)

Abstract

The Italian National Statistical Office is implementing a new project for computing sub-national Purchasing Power Parities (PPPs) on a regular basis, which is based on an appropriate use of existing Consumer Price Index (CPI) data and new sources of data. Concerning the use of CPI data, in this paper the role of the Country Product Dummy (CPD) method for compiling sub-national PPPs at Basic–Heading (BH) level is analysed together with the specific issues that arise in this context, such as the need to take spatial autocorrelation among price relatives into account. The results of various experiments based on CPI data concerning 7 BHs and 19 Italian regional chief towns are presented and discussed with the aim of exploring the performance of various CPD models and analysing to what extent the type and characteristics of the data affect the estimates obtained. The statistical uncertainty associated with the ranks derived from the regional PPPs was then calculated by means of a simulation procedure. Our findings prove to be interesting and confirm that methods and CPI data for spatial comparisons are reciprocally influenced.

Suggested Citation

  • Luigi Biggeri & Tiziana Laureti & Federico Polidoro, 2017. "Computing Sub-national PPPs with CPI Data: An Empirical Analysis on Italian Data Using Country Product Dummy Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 93-121, March.
  • Handle: RePEc:spr:soinre:v:131:y:2017:i:1:d:10.1007_s11205-015-1217-x
    DOI: 10.1007/s11205-015-1217-x
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    1. Bruce A. Blonigen & Ronald B. Davies & Glen R. Waddell & Helen T. Naughton, 2019. "FDI in Space: Spatial Autoregressive Relationships in Foreign Direct Investment," World Scientific Book Chapters, in: Foreign Direct Investment, chapter 2, pages 55-88, World Scientific Publishing Co. Pte. Ltd..
    2. D. Coondoo & A. Majumder & R. Ray, 2004. "A Method of Calculating Regional Consumer Price Differentials with Illustrative Evidence from India," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 51-68, March.
    3. D. S. Prasada Rao, 2005. "On The Equivalence Of Weighted Country‐Product‐Dummy (Cpd) Method And The Rao‐System For Multilateral Price Comparisons," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 571-580, December.
    4. Erwin Diewert, 2010. "New Methodological Developments For The International Comparison Program," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 11-31, June.
    5. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    6. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    7. Majumder, Amita & Ray, Ranjan & Sinha, Kompal, 2015. "Spatial Comparisons Of Prices And Expenditure In A Heterogeneous Country: Methodology With Application To India," Macroeconomic Dynamics, Cambridge University Press, vol. 19(5), pages 931-989, July.
    8. Julie Le Gallo & Bernard Fingleton, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties," Post-Print hal-00485035, HAL.
    9. Amita Majumder & Ranjan Ray & Kompal Sinha, 2014. "A Unified Framework for the Estimation of Intra and Inter Country Food Purchasing Power Parities with Application to Cross Country Comparisons of Food Expenditure: India, Indonesia and Vietnam," Monash Economics Working Papers 31-14, Monash University, Department of Economics.
    10. Erwin Diewert, 2005. "Weighted Country Product Dummy Variable Regressions And Index Number Formulae," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 561-570, December.
    11. Ankita Mishra & Ranjan Ray, 2014. "Spatial Variation in Prices and Expenditure Inequalities in Australia," The Economic Record, The Economic Society of Australia, vol. 90(289), pages 137-159, June.
    12. Catherine Baumont,, 2004. "Spatial effects in housing price models : do housing prices capitalize urban development policies in the agglomeration of Dijon (1999) ?," Working Papers hal-01525664, HAL.
    13. Hill, Robert J. & Hill, T. Peter, 2009. "Recent Developments In The International Comparison Of Prices And Real Output," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 194-217, September.
    14. George Leckie & Harvey Goldstein, 2011. "Understanding Uncertainty in School League Tables," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 207-224, June.
    15. Amita Majumder & Ranjan Ray & Kompal Sinha, 2015. "Estimating Purchasing Power Parities from Household Expenditure Data Using Complete Demand Systems with Application to Living Standards Comparison: India and Vietnam," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 302-328, June.
    16. BAUMONT, Catherine, 2004. "Spatial effects in housing price models. Do housing prices capitalize urban development policies in the agglomeration of Dijon (1999)?," LEG - Document de travail - Economie 2004-04, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    17. Luc Anselin & Daniel Arribas-Bel, 2013. "Spatial fixed effects and spatial dependence in a single cross-section," Papers in Regional Science, Wiley Blackwell, vol. 92(1), pages 3-17, March.
    18. Robert J. Hill & Iqbal A. Syed, 2015. "Improving International Comparisons of Prices at Basic Heading Level: An Application to the Asia-Pacific Region," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 515-539, September.
    19. Mick Silver, 2009. "The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations," IMF Working Papers 2009/271, International Monetary Fund.
    20. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    21. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    22. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    23. Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147, February.
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    2. Menggen Chen, 2021. "Sub-National PPPs Based on House and Real Income Disparity across China: a Distinctive Spatial Deflator," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 187-219, February.

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