Verfügbarkeit: The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations

The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations:

The 2005 International Comparison Program''s (ICP) estimates of economy-wide purchasing power parity (PPP) are based on parity estimates for 155 basic expenditure headings, mainly estimated using country product dummy (CPD) regressions. The estimates are potentially inefficient and open to...

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1. Verfasser:	Silver, Mick (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Washington, D.C International Monetary Fund 2009
Schriftenreihe:	IMF Working Papers Working Paper No. 09/271
Online-Zugang:	UBW01 UEI01 LCO01 SBR01 UER01 SBG01 UBG01 FAN01 UBT01 FKE01 UBY01 UBA01 FLA01 UBM01 UPA01 UBR01 FHA01 FNU01 BSB01 TUM01 Volltext
Zusammenfassung:	The 2005 International Comparison Program''s (ICP) estimates of economy-wide purchasing power parity (PPP) are based on parity estimates for 155 basic expenditure headings, mainly estimated using country product dummy (CPD) regressions. The estimates are potentially inefficient and open to omitted variable bias for two reasons. First, they use average prices across outlets as the left-hand-side variable. Second, quality-adjusted prices of non-comparable replacements, required when products in outlets do not match the required specifications, cannot be effectively included. This paper provides an analytical framework based on panel data and hedonic CPD regressions for ameliorating these sources of bias and inefficiency
Beschreibung:	1 Online-Ressource (28 p)
ISBN:	1451874162 9781451874167

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spelling	Silver, Mick Verfasser aut The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations Silver, Mick Washington, D.C International Monetary Fund 2009 1 Online-Ressource (28 p) txt rdacontent c rdamedia cr rdacarrier IMF Working Papers Working Paper No. 09/271 The 2005 International Comparison Program''s (ICP) estimates of economy-wide purchasing power parity (PPP) are based on parity estimates for 155 basic expenditure headings, mainly estimated using country product dummy (CPD) regressions. The estimates are potentially inefficient and open to omitted variable bias for two reasons. First, they use average prices across outlets as the left-hand-side variable. Second, quality-adjusted prices of non-comparable replacements, required when products in outlets do not match the required specifications, cannot be effectively included. This paper provides an analytical framework based on panel data and hedonic CPD regressions for ameliorating these sources of bias and inefficiency Online-Ausg http://elibrary.imf.org/view/IMF001/10575-9781451874167/10575-9781451874167/10575-9781451874167.xml Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Silver, Mick The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title_auth	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title_exact_search	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title_exact_search_txtP	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title_full	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations Silver, Mick
title_fullStr	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations Silver, Mick
title_full_unstemmed	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations Silver, Mick
title_short	The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations
title_sort	the hedonic country product dummy method and quality adjustments for purchasing power parity calculations
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