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The Estimation of Industrylevel Capital Stock for EmergingMarket and Transition Economies

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Title: The Estimation of Industrylevel Capital Stock for EmergingMarket and Transition Economies


1
The Estimation of Industry-level Capital Stock
for Emerging-Market and Transition Economies
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • Hak K. Pyo
  • pyohk_at_plaza.snu.ac.kr
  • Seoul National University

2
1. Introduction
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • As the international comparison of productivities
    among nations move from aggregate level to
    industry-level such as EU KLEMS project, there
    are two key issues to be resolved.
  • One is the method of generating purchasing power
    parity and the choice between expenditure
    purchasing power parities and unit value ratios
    as recently addressed by Timmer ,Ypma and van Ark
    (2007c).
  • The other is to estimate capital stock at
    industry-level to impute capital service input by
    industry.
  • The purpose of the present paper is to address
    the second issue particularly in the context of
    international comparison of productivities with
    emerging market economies and transition
    economies.

3
1. Introduction
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • The Perpetual Inventory Method (PIM) may generate
    capital stock series far from realities that can
    be inconsistent with underlying magnitudes of
    output and other inputs.
  • The validity of PIM crucially depends on whether
    the following three conditions are met
  • the availability of real investment series longer
    than expected lifetime of assets
  • the stability of investment deflator being used
    to deflate current price investment series
  • the reasonable estimates of depreciation rates by
    both types of assets and industries.
  • These conditions are not usually met by emerging
    market economies and transition economies.

4
1. Introduction
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • In particular, if we are interested in comparing
    level-productivity among nations including
    emerging market and transition economies, we need
    to supplement PIM.
  • For level comparison of productivities among
    nations we cannot ignore initial values of
    capital stocks in each country and therefore, and
    should come up with some ways of recovering
    initial values and supplementing PIM.

5
1. Introduction
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • For this purpose, the paper is organized as
    follows.
  • In section 2, a simultaneous estimation of
    production functions and capital stocks proposed
    by Dadkhah and Zahedi (1986) is applied to
    estimate the initial values from which PIM can be
    used.
  • Section 3 deals with industrial decomposition of
    capital stocks when earlier investment data are
    missing and when the investment data are
    available by either types of assets or by
    industries but not by both.
  • Section 4 revisits several issues in estimating
    capital stocks for emerging market and transition
    economies such as estimation of depreciation
    rates, the decomposition of ICT and non-ICT
    capital stocks and the imputation of capital
    service inputs.
  • The last section concludes the paper.

6
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.1 Model
7
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.1 Model
8
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Table 1 Currency Unit and Data Period by Country
Sources EU KLEMS (March 2008 Release)
9
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Figure 1 Estimated Depreciation Rates and Capital
Stock

10
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Figure 1 Estimated Depreciation Rates and Capital
Stock(continued)

11
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Figure 1 Estimated Depreciation Rates and Capital
Stock(continued)

12
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Table 2 Estimated Parameters
Sources EU KLEMS (March 2008 Release) and KIP
Database(2007)

13
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Table 3 Estimated Initial Capital Stock

14
2. The Estimation of Initial Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
2.2 Data and Results
Figure 2 Percentage Difference between K_EUKLEMS
and Estimated Initial Capital Stock

15
3. Industry-level Decomposition of Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • In principle, the above method of generating
    initial capital stock for the aggregate economy
    can be applied to each industry if the industrial
    GDP and labor input data are available.
  • But in practice, estimating Cobb-Douglas
    production for each industry may not be an easy
    task and the assumption of constant returns to
    scale may not hold for each industry.
  • For many emerging market and transition
    economies, such information may not be available
    making it difficult to apply PIM specifically to
    each industry.


16
3. Industry-level Decomposition of Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
Table 4 Cumulative Weights of Real Gross Fixed
Capital Formation by Assets in Korea (1970-2005)

(In 2000 Prices)
Source Bank of Korea, National Accounts (2007)

17
3. Industry-level Decomposition of Capital Stocks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
Figure 4 Cumulative Weights of Real Gross Fixed
Capital Formation by Kind of Economic Activity in
Korea (1970-2005)
(In 2000 Prices)
Source Bank of Korea, National Accounts (2007)

18
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.1 Depreciation
  • In applying PIM to decomposed industry-level
    capital stock, we need to decide on which method
    of depreciation is to be used
  • As noted in OECD Manual(2002), it is practical to
    apply geometric depreciation rate to most of
    emerging market and transition economies because
    it can be applied to PIM to generate past series
    of capital stock prior to benchmark year or
    initial year of the estimation even though the
    data on past capital formation do not exist.
  • Straight-line depreciation and sum-of-the-digits
    depreciation can not be applied because they
    require past records of asset acquisition.


19
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.1 Depreciation
Table 6 Geometric Depreciation Rates Used in EU
KLEMS and Estimated in Pyo(2003)
Sources EU KLEMS (2007) and Pyo (2002) (2003)

20
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.1 Depreciation
Figure 5. ICT Capital Stock with Depreciation
Rates by EU KLEMS in Korea
Figure 6. ICT Capital Stock with Adjusted
Depreciation Rates in Korea

21
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Table 7 ICT Asset Classification by EU KLEMS and
OECD

22
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Table 8 Gross Fixed Capital Formation and Final
Consumption Expenditure of Durable Goods in Korea
(1970-2005)

23
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Figure 7 The Ratio of Durable Goods Consumed to
Gross Fixed Capital Formation in Korea
(1970-2005)
()

24
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Figure 8 ICT Investment in Japan
Source JIP 2008 Database

25
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Figure 9 ICT Investment in Korea
Source KIP Database

26
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.2 ICT and Non-ICT Decomposition
Figure 10 ICT Investment/GDP Ratio in the Major
Developed Countries
Sources EUKLEMS Database 2008 March Release, KIP
Database, JIP 2008 Database

27
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.3 Estimation of User Cost

28
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.3 Estimation of User Cost
Figure 11 Inflation Rate Measured by Aggregate
Investment Deflator in Korea(1970-2005)
Sources Bank of Korea, National Accounts(2007)

29
4. Depreciation, ICT Asset Decomposition and User
Costs
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
4.3 Estimation of User Cost
Figure 12 Estimated User Costs and Determinants
of User Costs in Korea(1970-2005)

30
5. Concluding Remarks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • We have outlined an alternative method of
    indirectly checking the compatibility of initial
    values of net capital stock with underlying
    production structures and parameters by adopting
    the model of Dadkhah and Zahedi (1986) and using
    EU KLEMS Database.
  • The estimated results of initial capital stocks
    for some countries diverge from EU KLEMS
    estimates of initial values based on PIM.
  • It suggests to use some reliable benchmark years
    estimates as far as possible some information is
    better than no information or assuming zero value
    of initial capital stocks.


31
5. Concluding Remarks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • We have pointed out that the depreciation rate
    (31.5 ) of Computing Equipment and Software
    assumed by EU KLEMS may turn out to be too high.
  • Even though it may reflect higher user cost of
    such ICT assets, it will make the net capital
    stocks of these assets diverge from the realistic
    age-efficiency profile
  • In case of Korea, the resulting estimates of ICT
    capital stock estimated by assuming 31.5 percent
    depreciation rate turn out to be declining rather
    than accumulating so that we had to use
    downward-adjusted rates of depreciation.


32
5. Concluding Remarks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • We have discussed the decomposition of ICT and
    Non-ICT assets and noted that EU KLEMS definition
    of ICT capital could be too narrow compared to
    that of OECD to relect the contribution of ICT
    assets to economic growth.
  • We also have noted the difference in the use
    pattern of ICT-assets in Japan and Korea.
  • We have also noted that even though both Japan
    and Korea are strong ICT-equipment producers,
    they lag behind UK, US and Germany in the
    relative weight of ICT investment to GDP.
  • We propose to include consumer durables in the
    imputation of ICT assets capital service flow.


33
5. Concluding Remarks
The 2008 World Congress on National Accounts and
Economic Performance Measures for Nations May
12-17, 2008, Washington DC May 14 Session 1
  • Finally we have discussed the possibility of
    outliers in the data of emerging market and
    transition economies which will make imputation
    of user costs difficult.
  • Smoothing by moving averages and aggregation over
    broader categories of assets and industries may
    help out the imputation
  • Since EU KLEMS may have interest in encompassing
    important economies like Brazil, Russia, India
    and China, it seems desirable to reiterate
    inherent problems of PIM before it diverges too
    far away from realities.

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