A theory of long run growth that explains jointly i) declining cross-country inequality, ii) rising within-country inequality, and iii) weak growth in advanced economies + evidence from Germany.
Economic Growth since the mid 1990s is characterized by i) declining cross-country inequality, ii) rising within-country inequality, and iii) overall weak
growth in advanced economies. I provide a unifying explanation for these facts by developing a theory of long-run growth that focuses on the interaction of
innovation and technology adoption in a globalized world. I model both activities as skill-intensive, and study how goods market integration with emerging
markets shapes the returns to innovation vis-a-vis technology adoption. While the development of frontier technology in advanced economies is boosted by
globalization, increasing innovation comes at the cost of rising inequality and reduced domestic technology adoption. When ideas are getting harder to find,
the growth drag from reduced adoption dominates positive innovation effects, which explains slow TFP growth and stagnant wages for non-college workers in
advanced economies. The mechanism is corroborated by cross-sectional evidence from German micro data, which leverages regional specialization in
innovation vs. production together with the fall of the Iron Curtain.
Some data, and a simple model of human capital risk and structural
change, to understand capital flows out of fast-growing emerging
markets.
High saving rates in fast growing “miracle” economies and the
associated capital outflows have long been a puzzle in the
international economics literature. I provide evidence that the
demand for safe assets is systematically higher for
urban (non-agricultural) relative to rural (agricultural) households
suggesting a strong precautionary savings motive in urban areas. I
combine this with the insight that miracle economies display fast
structural change out of traditional farming. The interplay of
structural change and rising demand of safe assets of urban
households can account for the puzzling capital outflows during the
growth miracle. I then develop a tractable model of miracle growth
and human capital risk that rationalizes these findings. The key
ingredients of the model are structural transformation away from
traditional agricultural production, a heterogeneous income growth
experience of households in the urban sector which gives rise to an
unequal income distribution, and initial uncertainty about a
household’s position on this distribution. The model characterizes
in closed form the trade-off between consumption smoothing and
precautionary savings,and offers a simple sufficient statistic to
sign the direction of capital flows along the transition path.
A quantitative model of ``miracle'' growth to understand how risk,
inequality, and financial frictions shape aggregate savings and
investment.
I develop a theory of ``miracle'' convergence growth that
rationalizes three salient facts.
First, growth miracles are often associated with net capital
outflows, driven by demand for safe assets. Second, net FDI inflows
occur along the transition path. Third, inequality is rising dramatically.
I develop an incomplete market model with growth rate heterogeneity so that convergence
growth itself is unevenly distributed. In combination with financial
frictions, the model generates strong household savings pressure, and net capital outflows alongside FDI inflows.
The theory highlights that the distribution
of growth in emerging markets matters for global capital
flows.
Measurement of human capital risk in developing economies + incomplete
market model that quantifies its impact on urbanization and growth.
I measure urban-rural
differences in human capital risk to understand differences in
wealth accumulation and savings behavior across urban and rural
households in poor and middle-income countries. I explore how risk
interacts with human capital accumulation and structural change from
rural to urban economic activity. In a final step I assess whether
public safety nets can be effective tools to accelerate the process of
urbanization through the lens of a two-sector incomplete market model of long-run structural change.
Use detailed micro data on shipping companies to study investment
dynamics and technological change in China.