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Empirical applications of the Solow Model
Pubali Chakraborty
Ashoka University
Pubali Chakraborty (Ashoka University)
Empirical applications of the Solow Model
1 / 13
Overview
Reference: Chapter 2 and 3, Jones and Vollrath
Summarizing what we learnt from the Solow model so far:
differences in investment rates, population growth rates can explain
differences in per capita incomes
economies exhibit sustained growth only in the presence of technological
progress
Pubali Chakraborty (Ashoka University)
Empirical applications of the Solow Model
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Solow residual
Solow residual
Suppose the production function is represented as:
Y = BK α L1−α
where B: total factor productivity or multifactor productivity term (residual)
ẏ
k̇
Ḃ
=α +
y
k
B
growth rate of output per worker is decomposed into
contribution of physical capital per worker
contribution from multifactor productivity growth
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Empirical applications of the Solow Model
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Solow residual
Growth accounting over time
from 1948-2010, one-half of U.S. growth was due to factor accumulation;
one-half was due to improvements in the productivity of these factors
productivity slowdown post 1973 (several explanations)
role of IT has increased over the last few years
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Solow residual
Growth accounting across countries
1
A = B 1−α
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Empirical applications of the Solow Model
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Convergence
Convergence
backward countries would tend to grow faster than rich countries, catchup
phenomenon is called convergence
narrowing of gaps between countries
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Convergence
inverse relationship between growth rate and per capita GDP
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Empirical applications of the Solow Model
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Convergence
For OECD countries between 1960-2008, convergence in growth rates
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Convergence
absence of convergence between 1960-2008 when the world is considered
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Convergence
growth rate of capital per effective worker:
k̃˙
k̃
= s k̃ α−1 − (n + δ + g )
among countries that have the same steady state, the convergence hypothesis
should hold: poor countries should grow faster on average than rich countries
the further an economy is below its steady state, the faster the economy will
grow, and vice versa
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Empirical applications of the Solow Model
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Convergence
Conditional convergence
conditional convergence: deviation from own steady state is relevant
policy changes/ shocks can throw countries out of their steady states
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Empirical applications of the Solow Model
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Inequality
Evolution of income distribution
evidence of overall increase in inequality
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Inequality
Twin peaks income distribution
absolute poverty has been decreasing over time
poorest countries have become relatively poorer
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Empirical applications of the Solow Model
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