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Inference for Misallocation Statistics Using Influence Functions

Fakos, Alexandros - 2023

I provide formulas for the influence function of two common misallocation statistics: TFP loss from misallocation and … sample analogs to influence functions for calculating the asymptotic variance and standard errors of statistics. This … approach applies to a wide range of statistics and is useful for conducting inference in a minimum-distance estimation …

Persistent link: https://www.econbiz.de/10014346767

Does the Choice of Well-Being Measure Matter Empirically? An Illustration with German Data

Decancq, Koen - 2014

We discuss and compare five measures of individual well-being, namely income, an objective composite well-being index, a measure of subjective well-being, equivalent income, and a well-being measure based on the von Neumann-Morgenstern utilities of the individuals. After examining the...

Persistent link: https://www.econbiz.de/10013044420

A nifty fix for published distribution statistics : simplified distribution-free statistical inference

Beach, Charles M. - 2021

methodology of Beach (2021) to percentile-based distribution statistics such as quintile income shares and decile means typically …

Persistent link: https://www.econbiz.de/10012670923

Sequential Stochastic Dominance and the Robustness of Poverty Orderings

Duclos, Jean-Yves; Makdissi, Paul - 2014

When comparing poverty across distributions, an analyst must select a poverty line to idendify the poor, an equivalence scale to compare individuals from households of different compositions and sizes, and a poverty index to aggregate individual deprivation into an index of total poverty. A...

Persistent link: https://www.econbiz.de/10014191767

Chapter 6. Statistical Methods for Distributional Analysis

Cowell, Frank A.; Flachaire, Emmanuel - In: Handbook of income distribution : volume 2, (pp. 359-465). 2015

This chapter discusses the formal and informal techniques that are commonly used to give quantitative answers in the field of distributional analysis. To this end, it covers subjects including inequality, poverty, and the modeling of income distributions. It also deals with parametric and...

Persistent link: https://www.econbiz.de/10014025345