Economics and information theory

By H. Theil. 1967

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A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices (2018, background): “Traditionally, inequality indices such as Coefficient of Variation [1], Gini [5, 16], Atkinson [3], Hoover [29], and Theil [37], have been proposed to quantify how unequally incomes are distributed across individuals and groups in a population.”
Proactive R&D management and firm growth: A punctuated equilibrium model (2011, methodology): “Corporate diversification We use an entropy measure (Theil, 1967) to determine the extent of firm diversification.”
Spatial interaction modelling (2003, methodology): “This problem was addressed by Theil (1967) , who multiplied Tij in (6) by a bias factor Qij defined as:”
The Redistributive Effects of Tax Benefit Systems in the Enlarged EU (2010, background): “Theil (1967) ). The GE measures of inequality can be interpreted in an economic way”
Cooperation and noise in public goods experiments: applying the contribution function approach (2001, unknown): “We measure the concentration by considering two inequality indices, the Theil (1967) coefficient and the Gini coefficient (the area between the Lorenz curve and the 458 line).”