GDP Prediction (two
papers)
This model is a semi-empirical one and
expresses the future GDP as a function of only one parameter - population of
some specific single year of age.
1. GDP growth rate and population (Abstract, Draft
paper)
Abstract
Real GDP growth rate in developed
countries is found to be a sum of two terms. The first term is the reciprocal
value of the duration of the period of mean income growth with work experience,
Tcr. The current value of Tcr in the
(1/2)*dN9(t) /N9(t)
where N9(t) is the number of 9-year-olds at time t. The Tcr
grows as the square root of real GDP per capita.
Hence,
evolution of real GDP is defined by only one parameter - the number of people
of the specific age. Predictions for the
A similar relationship is derived for real GDP per capita. Annual increment of GDP per capita is also a combination of economic trend term and the same specific age population term. The economic trend term during last 55 years is equal to $400 (2002 US dollars) divided by the attained level of real GDP per capita. Thus, the economic trend term has an asymptotic value of zero.
Inversion of the measured GDP values is used to recover the corresponding change of the specific age population between 1955 and 2003. The population recovery method based on GDP potentially is of a higher accuracy than routine censuses.
2. GDP per capita and economic trend (Abstract, Draft
paper)
Abstract
Growth rate of real GDP per capita is represented as a sum
of two components – a monotonically decreasing economic trend and fluctuations
related to a specific age population change. The economic trend is modeled by
an inverse function of real GDP per capita with a numerator potentially
constant for the largest developed economies. Statistical analysis of 19
selected OECD countries for the period between 1950 and 2004 shows a very weak
linear trend in the annual GDP per capita increment for the largest economies:
the