Transcript Slide 1
The ABS Industry MFP
Database
Hui Wei
Australian Bureau of Statistics
Outline
Overview of the ABS Industry MFP
Database
How key variables are measured
Outstanding issues
Towards KLEMS model
Overview
First release of experimental industry MFP
database in 2007
The framework of Jorgenson, Gollop and
Fraumeni (1987)
12 industries
Gross value added MFP estimates span from
1964-65 to 2008-09
Gross output MFP estimates span from 199495 to 2007-08
Industry Coverage
Agriculture, forestry & fishing
Mining
Manufacturing
Electricity, gas, water & waste services
Construction
Wholesale trade
Retail trade
Accommodation & food services
Transport, postal & warehousing
Information, media & telecommunications
Financial & insurance services
Arts & recreation services
How Variables Are Measured
VA, GO and intermediate inputs are measured as
chained Laspeyres indexes
Tornqvist capital services index based on weighted
changes in productive capital stock
Labour input is plain hours worked index without
accounting for quality factor
The Measurement of Intermediate Inputs
Intermediate inputs are measured as total
intermediate usage in one bundle
The constant price measures are derived using high
level price deflators
Current price intermediate usage is available at
detailed commodity level
It is feasible to break down intermediate inputs into
energy, material and services and derive constant
price measures
Capital Asset Types
Cultivated biological resources
Livestock fixed assets
Orchards, plantations & vineyards
Intellectual property products
Computer software
R&D
Mineral & petroleum exploration
Artistic Originals
Inventories
Machinery & equipment
Electrical & electronic equipment
Industrial machinery & equipment
Other plant & equipment
Other transport equipment
Road vehicles
Land
Non-dwelling construction
Ownership transfer costs
Capital Services
Hyperbolic age-efficiency function is used in
estimating productive capital stock
Rental prices are derived using the framework of
Hall and Jorgenson (1967)
Rates of return are estimated by using a
combination of endogenous and exogenous
methods (with CPI + 4% as floor)
A small positive number (0.001) is applied in case of
negative rental prices
Labour Input
Hours worked data are from Labour Force
Survey (LFS)
Total hours worked is the product of
employment number by average hours
worked per person
Employment number estimates are subject
to notable sampling error as LFS not
stratified by industry
Work-in-progress for Labour Input
Full Australian Census Data (1981 1986 1991 1996
2001 2006)
Key variables: gender, age, education, income,
hours worked, number of persons, employee & selfemployed, industry
Census benchmarks are applied to averages of LFS
data to derive annual estimates
Annual Average Growth Rates in
Value Added Based MFP
Agriculture, Forestry and Fishing
Mining
Manufacturing
Electricity, Gas, Water and Waste Services
Construction
Wholesale Trade
Retail Trade
Accommodation and Food Services
Transport, Postal and Warehousing
Information, Media and Telecommunications
Financial and Insurance Services
Arts and Recreation Services
12 Selected industries
1985-86 to 1988-89 to 1993-94 to 1998-99 to 2003-04 to 1985-86 to
1988-89
1993-94
1998-99
2003-04
2007-08
2007-08
0.8
4.0
4.0
2.9
-1.2
3.1
2.5
3.0
0.6
-0.3
-4.2
0.3
2.1
0.1
0.4
1.4
-0.9
0.7
5.7
3.2
1.9
-1.7
-4.4
0.8
-2.3
-0.5
2.8
0.8
0.8
0.7
1.2
-2.1
5.8
1.1
0.3
1.6
-2.2
2.0
2.3
1.1
0.5
1.3
-1.1
-0.3
1.7
0.4
0.1
0.4
-1.2
1.7
2.3
2.0
1.6
1.9
2.9
6.3
3.8
-0.4
0.9
3.3
3.9
4.9
1.3
1.0
2.5
3.3
-2.2
-1.6
-1.5
1.2
-1.0
-1.1
1.0
1.0
2.1
0.9
-0.2
1.3
Outstanding Issues
MFP puzzles for ‘problematic’ industries
Agriculture
Mining
Electricity, gas & water
Robust MFP measures for services
industries
Increased user demand for MFP measures
of education and health sectors
Towards KLEMS Model
Likely to be on our forward work program in
the near future
EU KLEMS Program offers useful short cuts
to generate separate volume indexes for
energy, material and services for the ABS
Product balanced SU tables in constant
prices not available at the ABS
SU tables are balanced in aggregate to
balance GDP measures