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AN INDEX APPROACH TO 
ASSESS THE RELIABILITY OF 
PURCHASING POWER PARITIES 
IN CHINA 
Authors: Dong Qiu and YafeiWang 
Discussant: Michel Mouyelo-Katoula 
IARIW 33rd General Conference, Rotterdam, the 
Netherlands, August 24-30, 2014
2 
I JUSTIFICATION 
II REVIEW OF SIMILAR ATTEMPTS 
III A NEW INDEX APPROACH 
IV INA FORMULAE 
V DATA SOURCES 
VI RESULTS 
VII SELECTED ISSUES 
O 
U 
T 
L 
I 
N 
E
OUTLINE 
I JUSTIFICATION 
• ICP 2011 Global Office published global results in April & June 2014 
3 
1 
• Attracted worldwide attention and generated hot debate 2 
3 • China, largest developing country & 2nd largest economy in the world 
• Nationwide coverage 
• China’s market development not perfect => some product 
prices do not lead to sound price levels 
• Large quality differences between regions and urban rural 
areas => limited representativeness of average prices 
4 • Representativeness as well as resulting biases in PPP estimation not 
yet measured
OUTLINE 
4 
II REVIEW OF SIMILAR ATTEMPTS 
Authors Approach Objective Results 
Hajargasht and 
Rao 
Stochastic 
approach: CPD 
method 
To derive standard 
errors of GK PPP 
Inconclusive 
Angus Maddison Comparative level 
of performance - 
revised 1990 PPP 
China’s GDP = 
half of the level 
2005 results. 
Feenstra et al. Reviewed possible 
causes of 
discrepancies 
China’s real per 
capita GDP = 30% 
higher than ICP 
2005 
Hill and Syed Adjustment of 
results 
To take account of 
unrepresentative 
products, urban-rural 
differences & 
differing outlets. 
Cause: excessive 
sampling of 
unrepresentative 
products in urban 
locations. 
Majumder et al. Demand system 
based 
methodology 
Calculated PPP 
between Indian 
Rupee and 
Vietnamese Dong
OUTLINE 
5 
III A NEW INDEX APPROACH 
1 • Intra-National Assessment [INA] 
• The representative of ICP specifications products’ prices 
• Weights measuring GDP and the reliability of main 
classification level PPPs 
• Reliability: Component failure => overall mechanical failure 
Based 
on 
2 • Dimensions covered by the index 
• Regional differences 
• Urban-rural differences 
• GDP classification levels
6 
IV INA FORMULAE 
1 • Regional differences 
S p D p S p D p 
1 2 
1 2 
( ) 
  
 
S D S D 
I i i i i 
i J J 
i i 
ina p 
J p J p 
2 • Urban-rural differences 
3 • Main classification reliability 
u p  
r p 
1 1 
2 2 
( ) 
* 
u r 
I 
i u r 
ina p 
per u w r w 
 
 
( ) ( ) 
1 
1 
I 
i 
I i 
i 
i 
i 
w 
ina GDP ina P 
w  
 
  
( ) ( ) ( ) 
 1 
1 
I 
i 
I i 
i 
i 
i 
p 
ina P ina p 
p  
 
  
 
J1=S+D1, J2=S+D2
OUTLINE 
V DATA SOURCES [1 OF 3] 
• Food Prices 
7 
1 
Major cities China Urban 
Life and Price 
Yearbook 2012 
Department of 
Urban Society 
China 2012 
Other cities Various 
websites 
Development and 
Reform 
Commission 
2 • Fo od Weights 
National urban 
weights 
China Statistical 
Yearbook 2012 
NBS
OUTLINE 
• Other Consumer Products 
8 
DATA SOURCES [2 OF 3] 
Urban & rural clothing; 
Furniture 
China's Economic and 
Social Development 
Database 
Durable goods, 
transportation & 
communications 
China Yearbook of 
Household Survey 
National Bureau of 
Statistics of China 
Camcorders, computers, 
fixed phones, cars, etc. 
Unit values Customs of China 
Other durables Price Yearbook of 
China 
NBS 
Tourism data The Yearbook of China 
Tourism 
National Tourism 
Administration of China 
2012
OUTLINE 
• Gross Fixed Capital Formation 
9 
DATA SOURCES [3 OF 3] 
Construction 
industry 
Commercial 
housing price 
National 
Bureau of 
Statistics 
Construction 
cost margin 
ratio 
calculating 
the relevant 
indicators 
Machinery 
and 
equipment 
difference 
between 
gross fixed 
capital 
formation 
and the value 
added of 
construction 
statistical 
yearbooks 
of cities
OUTLINE 
10 
VI RESULTS [1 OF 2] 
• Reliability of PPP of GDP and main category levels 
Hhld Gov. GFCF Equip. 
Constr 
. 
0.96 1.09 0.99 1.31 0.85 
Very 
high 
Overv 
alued 
Overv 
alued 
Under 
valued
OUTLINE 
11 
VI RESULTS [2 OF 2] 
• Reliability of PPP of Household Consumption Expenditure 
Food 1.049 
Housing 0.29 
Household consumption 1.08 
Household equipment and maintenance 0.71 
Transport & communication 1.72 
Clothing 0.79 
Education & entertainment 1.04
OUTLINE 
VII SELECTED ISSUES 
• CONSISTENCY ? 
12 
1 
 Sources 
 List of products & Product description 
 Geographical coverage 
 Time coverage 
 Consistency with National Accounts 
2 • COMPARABILITY ? 
 Time 
 Space 
 What about other countries? 
3 • CONSTRUCTION AND HOUSING 
 SNA Rules
13

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Session 6 a 140827 reliability index [discussant mmk]

  • 1. AN INDEX APPROACH TO ASSESS THE RELIABILITY OF PURCHASING POWER PARITIES IN CHINA Authors: Dong Qiu and YafeiWang Discussant: Michel Mouyelo-Katoula IARIW 33rd General Conference, Rotterdam, the Netherlands, August 24-30, 2014
  • 2. 2 I JUSTIFICATION II REVIEW OF SIMILAR ATTEMPTS III A NEW INDEX APPROACH IV INA FORMULAE V DATA SOURCES VI RESULTS VII SELECTED ISSUES O U T L I N E
  • 3. OUTLINE I JUSTIFICATION • ICP 2011 Global Office published global results in April & June 2014 3 1 • Attracted worldwide attention and generated hot debate 2 3 • China, largest developing country & 2nd largest economy in the world • Nationwide coverage • China’s market development not perfect => some product prices do not lead to sound price levels • Large quality differences between regions and urban rural areas => limited representativeness of average prices 4 • Representativeness as well as resulting biases in PPP estimation not yet measured
  • 4. OUTLINE 4 II REVIEW OF SIMILAR ATTEMPTS Authors Approach Objective Results Hajargasht and Rao Stochastic approach: CPD method To derive standard errors of GK PPP Inconclusive Angus Maddison Comparative level of performance - revised 1990 PPP China’s GDP = half of the level 2005 results. Feenstra et al. Reviewed possible causes of discrepancies China’s real per capita GDP = 30% higher than ICP 2005 Hill and Syed Adjustment of results To take account of unrepresentative products, urban-rural differences & differing outlets. Cause: excessive sampling of unrepresentative products in urban locations. Majumder et al. Demand system based methodology Calculated PPP between Indian Rupee and Vietnamese Dong
  • 5. OUTLINE 5 III A NEW INDEX APPROACH 1 • Intra-National Assessment [INA] • The representative of ICP specifications products’ prices • Weights measuring GDP and the reliability of main classification level PPPs • Reliability: Component failure => overall mechanical failure Based on 2 • Dimensions covered by the index • Regional differences • Urban-rural differences • GDP classification levels
  • 6. 6 IV INA FORMULAE 1 • Regional differences S p D p S p D p 1 2 1 2 ( )    S D S D I i i i i i J J i i ina p J p J p 2 • Urban-rural differences 3 • Main classification reliability u p  r p 1 1 2 2 ( ) * u r I i u r ina p per u w r w   ( ) ( ) 1 1 I i I i i i i w ina GDP ina P w     ( ) ( ) ( )  1 1 I i I i i i i p ina P ina p p      J1=S+D1, J2=S+D2
  • 7. OUTLINE V DATA SOURCES [1 OF 3] • Food Prices 7 1 Major cities China Urban Life and Price Yearbook 2012 Department of Urban Society China 2012 Other cities Various websites Development and Reform Commission 2 • Fo od Weights National urban weights China Statistical Yearbook 2012 NBS
  • 8. OUTLINE • Other Consumer Products 8 DATA SOURCES [2 OF 3] Urban & rural clothing; Furniture China's Economic and Social Development Database Durable goods, transportation & communications China Yearbook of Household Survey National Bureau of Statistics of China Camcorders, computers, fixed phones, cars, etc. Unit values Customs of China Other durables Price Yearbook of China NBS Tourism data The Yearbook of China Tourism National Tourism Administration of China 2012
  • 9. OUTLINE • Gross Fixed Capital Formation 9 DATA SOURCES [3 OF 3] Construction industry Commercial housing price National Bureau of Statistics Construction cost margin ratio calculating the relevant indicators Machinery and equipment difference between gross fixed capital formation and the value added of construction statistical yearbooks of cities
  • 10. OUTLINE 10 VI RESULTS [1 OF 2] • Reliability of PPP of GDP and main category levels Hhld Gov. GFCF Equip. Constr . 0.96 1.09 0.99 1.31 0.85 Very high Overv alued Overv alued Under valued
  • 11. OUTLINE 11 VI RESULTS [2 OF 2] • Reliability of PPP of Household Consumption Expenditure Food 1.049 Housing 0.29 Household consumption 1.08 Household equipment and maintenance 0.71 Transport & communication 1.72 Clothing 0.79 Education & entertainment 1.04
  • 12. OUTLINE VII SELECTED ISSUES • CONSISTENCY ? 12 1  Sources  List of products & Product description  Geographical coverage  Time coverage  Consistency with National Accounts 2 • COMPARABILITY ?  Time  Space  What about other countries? 3 • CONSTRUCTION AND HOUSING  SNA Rules
  • 13. 13