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Regular version of the site
Article
Statistical inference for scale mixture models via Mellin transform approach

Belomestny D., Morozova E., Panov V.

Statistics. 2024. Vol. 58. No. 1. P. 209-229.

Book chapter
Higher education and regional elite formation in Russia

Aleksei Egorov, Sergey Malinovskiy.

In bk.: Assessing the Contributions of Higher Education: Knowledge for a Disordered World. Cheltenham: Edward Elgar Publishing, 2023. Ch. 14. P. 286-299.

Working paper
Decompounding under general mixing distributions

Belomestny D., Morozova E., Panov V.

math.ST. arXiv.org. Cornell University, 2024. No. 2405.05419.

FES International Research Seminar Series with professor Arthur Lewbel Boston College, USA

Event ended

SpeakerArthur Lewbel, Boston College

TitleIdentification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions (joint with Geoffrey R. Dunbar and Krishna Pendakur)

Abstract: Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual level consumption in multi-person households is not directly observed. We consider random resource shares, which vary across observationally identical households. We provide theorems that identify the distribution of random resource shares across households, including children’s shares. We also provide a new method of identifying the level of fixed or random resource shares that does not require previously needed preference similarity restrictions or marriage market assumptions. Our results can be applied to data with or without price variation. We apply our results to households in Malawi, estimating the distributions of child and of female poverty across households.

Date: September 25, 2017

Time13:40-15:00

Venue: Shabolovka campus, room 3211

FES Seminars webpagehttps://economics.hse.ru/en/seminars/ 

For external participants: to order the pass, please contact avolchina@hse.ru