Nathan Vieira*, Bertille Picard**

Internal seminars
phd seminar

Nathan Vieira*, Bertille Picard**

AMSE
China and its state-owned enterprises, what role do they play in macroeconomic policies? A case study of the 11th five-year plan*
Fairness of welfare-maximizing algorithms in experimental designs**
Joint with
Vera Z. Eichenauer, Feicheng Wang*
Venue

IBD Amphi

Îlot Bernard du Bois - Amphithéâtre

AMU - AMSE
5-9 boulevard Maurice Bourdet
13001 Marseille

Date(s)
Tuesday, February 21 2023| 11:00am to 12:30pm
Contact(s)

Camille Hainnaux: camille.hainnaux[at]univ-amu.fr
Daniela Horta Saenz: daniela.horta-saenz[at]univ-amu.fr
Jade Ponsard: jade.ponsard[at]univ-amu.fr
Nathan Vieira: nathan.vieira[at]univ-amu.fr

Abstract

*In 2021, a total of 141 state-owned enterprises (SOEs) were included on the 2021 Fortune Global 500, among them 82 were Chinese. Chinese SOEs are a heritage of the planned economic system and their role in today’s state capitalism is not clearly defined. Using a rich dataset of Chinese firms, we investigate the role played by SOEs in Chinese industrial policies. Our triple difference-in-difference model estimates provide evidence that government policies have differently affected SOEs and the private sector. We find that China relies both on market incentives for the private sector and public reforms for SOEs to achieve a same common macroeconomic objective.

**Welfare-maximizing algorithms offer new insights in experimental economics. During an experiment, they identify the most beneficial treatment for the subjects and thus maximize the experiment's overall welfare impact. However, for experimentalists or policy implementers, this implies transferring decision-making power to an algorithm. Allocating individuals to treatment arms using an algorithm exposes us to contemporary criticisms of artificial intelligence, such as discrimination or exacerbation of inequalities. Can we meet the requirements of fairness in these automated designs? I will present preliminary work implementing strategies to control inequalities generated by basic algorithms using recent results on inference in this experimental setup.