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Building & Construction Industry
Forecasts: Methodology This report was prepared for Master Builders Australia
14 May 2013
This report has been produced for Master Builders Australia (MBA) according to their terms of
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Master Builders Australia Building and Construction Industry Forecasts: Methodology
14 May 2013
Contents
Building and Construction Industry Forecasts................................................................................ 1
Master Builders Australia Building and Construction Industry Forecasts: Methodology
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Building and Construction Industry Forecasts
Independent Economics (Independent) was engaged by Master Builders Australia to develop detailed
forecasts of construction activity (work done) at the national and state level. A Building and
Construction Industry Forecasting Model (Construction Model) was constructed by Independent to
provide these forecasts. This note provides an overview of the Construction Model.
Activity in the following construction types are forecast by the Construction Model.
residential construction
o house construction
o other residential building
o alterations and additions
non-residential building
o retail and wholesale trade building
o office
o transport and other commercial building
o industrial building (aggregation of factories, warehouse, agricultural and aquacultural
buildings and other industrial building)
o educational building
o health and aged care facilities construction
o entertainment and recreation construction
o accommodation construction
o other non-residential building
engineering construction;
o roads, highways and subdivisions construction
o bridges, railways and harbours construction
o electricity generation, transmission and pipelines construction
o water storage and supply, sewerage and drainage construction
o telecommunications construction
o heavy industry construction
o recreation and other engineering construction
The Construction Model is integrated with Independent Economics’ Macro-econometric model
(Macro Model) and uses inputs from Independent Economics’ Demographic model. The linkages
between these three models are shown in the diagram below. A discussion of each model follows the
diagram.
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Building and Construction Industry Modelling Framework
Population by age by state
Demographic
Model
overseas migration
interstate migration
fertility rates
survival rates
Macro Model
World interest rates
World commodity prices
Industry labour productivity
Government policy variables
e.g tax rates and spending
Building & Construction
Model:
Approvals/Commencements
Approvals and
commencements by industry
Approvals and
Commencements by
detailed type Major projects
data
On-the-ground
information from
MBA
Building & Construction
activity by type by state
Building &
Construction Model:
Work Done
Working age population by age by state
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Demographic model
The demographic model provides projections of the population by gender by single year of age for
each state and territory. The projections allows for the following assumptions.
Relatively low total fertility rate of 1.85. This is slightly above the rate projected five years
ago in the Australian Bureau of Statistics (ABS) series B projection, but slightly below the
rate observed in the intervening years.
Net overseas migration (NOM) is assumed to be constant at 200,000. This is mid-way
between the assumptions made in the ABS’ series A and series B population projections and
is just below the level in 2011-12.
Increase in longevity through a gradual improvement in survival rates over time.
Each state’s share of NOM is assumed to be its average share over the last 6 years.
Net interstate migration of individuals reflects each state’s average for the last six years. This
means that individuals are expected to move from New South Wales, South Australia,
Tasmania and Northern Territory to other states, particularly Queensland.
Independent Economics Macro-econometric Model
The all-new Independent macro-econometric model judiciously balances economic principles and
evidence from the historical data in capturing the broad workings of the Australian economy.
The key features of the Independent Macro-econometric model are:
forecasts on a quarter-by-quarter basis to a short-term and long-term horizon;
used with a detailed demographic model to allow for the economic effects of population
ageing in developing robust long-term projections;
strong data consistency for more accurate forecasting;
solid theoretical foundations for more robust policy analysis;
six industry sectors to better capture the macro-economic implications of industry
developments such as the mining boom;
fully-consistent, detailed projections for the eight states and territories from our satellite states
model;
an understanding of how the Reserve Bank pursues its inflation target in setting monetary
policy, taking into account developments in inflation, unemployment and the bond market;
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modelling of consumer and investment behaviour that allows for the GFC;
a new approach to modelling household consumption that takes into account targets for asset
holdings based on labour income; and
allows for structural change in the labour market.
Key features of the Macro Model which make it well suited for forecasting building and construction
activity are as follows.
The model separately identifies a firm’s demand for building and construction versus other
types of investment goods (such as machinery and equipment).
Approvals and commencements are used as the indicator of a firm’s demand for building and
construction investment. This leads to robust short term forecasts of construction activity
because approvals and commencements provide more timely information on building and
construction activity, compared to a National Accounts measure of construction investment.
The model captures the key factors which affect investment decisions by firms, such as the
cost of construction, returns on other assets, depreciation, and profitability.
The three points above are discussed, in turn, below.
There are two main capital goods in the economy, buildings and structures, and machinery and
equipment. The building and construction industry is responsible for supplying buildings and
structures while the manufacturing industry supplies machinery and equipment. The Macro Model
uses a sophisticated methodology to model the demand for each type of capital good in a particular
industry. Specifically, in each industry, the relative demand for these two types of capital goods
varies according to the relative price of the two goods and the substitutability in that industry between
buildings and structures and machinery and equipment. This allows the forecasts to capture more of
the behavioural response of firms when the cost of building and construction changes. For example,
when the relative cost of machinery and equipment to buildings and structures increases, firms would
tend to substitute away from investment in machinery and equipment towards investment in buildings
and structures, all other things being equal. This sophisticated approach would provide more robust
forecasts of building and construction activity, as demand for buildings and structures is explicitly
modelled at the broad industry level.
Approvals and commencements are used as the indicator of a firm’s demand for building and
construction investment. That is, the Macro model directly forecasts approvals and commencements
by industry using sound economic principles. Using approvals and commencements as an indicator,
instead of a National Accounts measure of building and construction investment, leads to robust short
term forecasts of construction activity. This is because approvals and commencements provide more
timely information on building and construction activity.
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A Tobin’s Q approach is used to forecast approvals and commencements. Using Tobin’s Q allows the
model to capture the key factors which affect investment decisions by firms, such as the cost of
construction, returns on other assets, depreciation, and profitability. Specifically, it compares the
actual rate of return on investment to the required rate of return. The actual rate of return is
determined by industry profitability and building and construction costs. The required rate of return is
driven by depreciation, a risk premium and returns to other types of assets. Approvals and
commencements are above normal levels whenever the actual rate of return is higher than the required
rate of return. Similarly, approvals and commencements are below normal levels whenever the actual
rate of return is below the required rate of return.
Building and Construction Industry Forecasting Model
The Construction Model uses inputs from the Demographic Model and Macro Model to develop
forecasts of building and construction activity by type for each state and territory.
At the national level, it takes forecasts of approvals and commencements by industry from the Macro
Model and uses this to drive forecasts of approvals and commencements by detailed types. For
example, approvals in the ownership of dwellings industry are used to drive approvals for housing.
The more detailed forecasts of approvals and commencements by type are then used to drive forecasts
of work done by type.
A “top-down” approach is used to allocate national forecasts of construction approvals by type down
to the state level. First, a state’s share of national approvals for a particular construction type is
forecast. These shares are driven by the relative population size of the state and an industry
composition variable. For example, a state’s share of national housing approvals is influenced by the
state’s share of national working-age population. The industry composition variable captures the
extent to which industry conditions at the national level are relatively favourable or unfavourable for
the relative position of the state. For example, a high level of activity in the Mining sector at the
national level boosts the industry composition variable for the Mining-intensive states of Queensland
and Western Australia. In a Mining boom, these states are likely to require more than their usual
share of new building and construction infrastructure.
Once approvals by type have been forecast for each state, work done by type can then be forecast in
each state. This is done in a similar approach to that used at the national level, under which
movements in approvals gradually flow through to movements in work done based on historical
relationships.
Data Sources
The key data sources used to develop the construction activity forecasts are sourced from the
Australian Bureau of Statistics (ABS). The key publications used are as follows.
8752.0 Building Activity, Australia
8762.0 Engineering Construction Activity, Australia
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8731.0 Building Approvals, Australia
8782.0.65.001 Construction Activity: Chain Volume Measures, Australia
5204.0 Australian System of National Accounts (Annual publication)
5206.0 Australian System of National Accounts (Quarterly publication)