Economic Development and Inequality: a complex system analysis
Angelica Sbardella, Emanuele Pugliese, and Luciano Pietronero

TL;DR
This paper uses complex system analysis to explore the relationship between economic development, industrialization, and inequality globally and within US counties, revealing a shift in inequality trends over time.
Contribution
It introduces a novel application of the Fitness-Complexity algorithm to county-level data and uncovers a changing pattern of wage inequality with development.
Findings
Global inequality follows a Kuznets-like pattern from 1990 to 2008.
County-level analysis shows a reversal trend with increasing inequality as development progresses.
Wage inequality within US counties increased monotonically with industrialization in recent years.
Abstract
By borrowing methods from complex system analysis, in this paper we analyze the features of the complex relationship that links the development and the industrialization of a country to economic inequality. In order to do this, we identify industrialization as a combination of a monetary index, the GDP per capita, and a recently introduced measure of the complexity of an economy, the Fitness. At first we explore these relations on a global scale over the time period 1990--2008 focusing on two different dimensions of inequality: the capital share of income and a Theil measure of wage inequality. In both cases, the movement of inequality follows a pattern similar to the one theorized by Kuznets in the fifties. We then narrow down the object of study ad we concentrate on wage inequality within the United States. By employing data on wages and employment on the approximately 3100 US…
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Taxonomy
TopicsEconomic and Technological Innovation · Complex Systems and Time Series Analysis
