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Inequality and growth: From micro theory to macro empirics

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TLDR
In this paper, the authors show that the way individual income data should be aggregated into an index of inequality in order to explain countries' growth performance is theory specific, and that the use of a wrong measure might obscure the inequality-growth relationship and that relative performance of different measures of inequality can be informative about the channel through which inequality influences economic growth.
Abstract
We show that the way individual income data should be aggregated into an index of inequality in order to explain countries' growth performance is theory specific. A simulation set-up shows that the use of a wrong measure might obscure the inequality-growth relationship and that the relative performance of different measures of inequality can be informative about the channel through which inequality influences economic growth.

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A comparison of different project duration forecasting methods using earned value metrics

TL;DR: In this paper, the authors compare the classic earned value performance indicators SV and SPI with the newly developed earned schedule performance indicators S( t ) and SPI( t ), and compare the three methods from literature to forecast total project duration.
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Predicting customer retention and profitability by using random forests and regression forests techniques

TL;DR: The research findings demonstrate that both random forests techniques provide better fit for the estimation and validation sample compared to ordinary linear regression and logistic regression models, and suggest that past customer behavior is more important to generate repeat purchasing and favorable profitability evolutions.
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Heterogeneity and aggregation

TL;DR: In this paper, a survey covers recent solutions to aggregation problems in three application areas, consumer demand analysis, consumption growth and wealth, and labor participation and wages, which involves treatment of heterogeneity and nonlinearity at the individual level.
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Effort and Comparison Income: Experimental and Survey Evidence

TL;DR: In this article, the authors test the hypothesis that individual effort on the job depends both on one's own income and on the individual's position in the relevant income distribution, finding that an individual's rank in the income distribution more strongly determines effort than does others' average income.

Neural network survival analysis for personal loan data

TL;DR: This paper contrasts the performance of a neural network survival analysis model with that of the proportional hazards model for predicting both loan default and early repayment using data from a UK financial institution.
References
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Journal ArticleDOI

On the Measurement of Inequality

TL;DR: In this paper, the problem of comparing two frequency distributions f(u) of an attribute y which for convenience I shall refer to as income is defined as a risk in the theory of decision-making under uncertainty.
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A Rational Theory of the Size of Government

TL;DR: In a general equilibrium model of a labor economy, the size of government, measured by the share of income redistributed, is determined by majority rule as mentioned in this paper, where voters rationally anticipate the disincentive effects of taxation on the labor-leisure choices of their fellow citizens and take the effect into account when voting.
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Distributive Politics and Economic Growth

TL;DR: This paper analyzed the relationship between economics and politics and concluded that inequality is conducive to the adoption of growth-retarding policies, and presented cross-country evidence consistent with it. But their analysis focused on how an economy's initial configuration of resources shapes the political struggle for income and wealth distribution, and how that, in turn, affects long run growth.
Book

Is inequality harmful for growth

TL;DR: In this article, a theoretical model for the relationship between inequality and economic growth is proposed, and the model implications are supported by the evidence that both historical panel data and post-war cross-sectional data indicate a significant and large negative relation between inequalities and growth.
Posted Content

A New Data Set Measuring Income Inequality

TL;DR: In this article, a new data set on inequality in the distribution of income is presented, and the authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares.
Related Papers (5)
Trending Questions (1)
Does aggregation hide the harmful effects of inequality on growth?

Yes, the use of a wrong measure of inequality can obscure the inequality-growth relationship and hide the harmful effects of inequality on growth.