The International Comparisons Program (ICP) run by the World Bank compares prices and real incomes across countries, and plays a pivotal role in the Penn World Table. Using a unique dataset consisting of over 600,000 price quotes from nine countries in the Asia-Pacific region, we consider ways of improving the basic heading price indexes that form the building blocks of ICP. Current ICP methodology computes these price indexes using the country–product–dummy (CPD) method applied to the country average prices. We contrast this approach with: (i) a weighted version of CPD; (ii) CPD applied directly to the individual price quotes; and (iii) extended versions of CPD that include adjustments for unrepresentative products, urban–rural price differences, and different outlet-types. Also considered are new CPD-based methods for measuring urban–rural price differences, and the implications of our findings for the downward revision in China's GDP in ICP 2005."> The International Comparisons Program (ICP) run by the World Bank compares prices and real incomes across countries, and plays a pivotal role in the Penn World Table. Using a unique dataset consisting of over 600,000 price quotes from nine countries in the Asia-Pacific region, we consider ways of improving the basic heading price indexes that form the building blocks of ICP. Current ICP methodology computes these price indexes using the country–product–dummy (CPD) method applied to the country average prices. We contrast this approach with: (i) a weighted version of CPD; (ii) CPD applied directly to the individual price quotes; and (iii) extended versions of CPD that include adjustments for unrepresentative products, urban–rural price differences, and different outlet-types. Also considered are new CPD-based methods for measuring urban–rural price differences, and the implications of our findings for the downward revision in China's GDP in ICP 2005."> The International Comparisons Program (ICP) run by the World Bank compares prices and real incomes across countries, and plays a pivotal role in the Penn World Table. Using a u">
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Improving International Comparisons of Prices at Basic Heading Level: An Application to the Asia-Pacific Region

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  • Robert J. Hill
  • Iqbal A. Syed
Abstract
type="main"> The International Comparisons Program (ICP) run by the World Bank compares prices and real incomes across countries, and plays a pivotal role in the Penn World Table. Using a unique dataset consisting of over 600,000 price quotes from nine countries in the Asia-Pacific region, we consider ways of improving the basic heading price indexes that form the building blocks of ICP. Current ICP methodology computes these price indexes using the country–product–dummy (CPD) method applied to the country average prices. We contrast this approach with: (i) a weighted version of CPD; (ii) CPD applied directly to the individual price quotes; and (iii) extended versions of CPD that include adjustments for unrepresentative products, urban–rural price differences, and different outlet-types. Also considered are new CPD-based methods for measuring urban–rural price differences, and the implications of our findings for the downward revision in China's GDP in ICP 2005.

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  • 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.
    • Handle: RePEc:bla:revinw:v:61:y:2015:i:3:p:515-539
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    2. Manisha Chakrabarty & Amita Majumder & Ranjan Ray, 2018. "A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 703-730, September.
    3. José‐María Montero & Tiziana Laureti & Román Mínguez & Gema Fernández‐Avilés, 2020. "A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 512-533, September.
    4. Alicia Gómez-Tello & Alfonso Díez-Minguela & Julio Martinez-Galarraga & Daniel A. Tirado, 2019. "Regional prices in early twentieth-century Spain: a country-product-dummy approach," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(2), pages 245-276, May.
    5. Amita Majumder & Ranjan Ray, 2017. "Estimates of Spatial Prices in India and Their Sensitivity to Alternative Estimation Methods and Choice of Commodities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 145-167, March.
    6. Luigi Biggeri & D. S. Prasada Rao, 2017. "Income, Poverty and Prices: Comparisons at National and Sub-national Level: Editors’ Introduction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 1-6, March.
    7. 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.
    8. 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.
    9. Amita Majumder & Ranjan Ray, 2015. "Estimates of Spatial Prices in India and their Sensitivity to Alternative Estimation Methods and Choice of Items," Monash Economics Working Papers 11-15, Monash University, Department of Economics.
    10. Chen,Xiaomeng & Mungai,Rose & Nakamura,Shohei & Pearson,Thomas Patrick & Wambile,Ayago Esmubancha & Yoshida,Nobuo, 2020. "How Useful is CPI Price Data for Spatial Price Adjustment in Poverty Measurement? : A Case from Ghana," Policy Research Working Paper Series 9388, The World Bank.

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