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Jad Beyhum, and Eric Gautier
vol. 41, n. 1, 2023, pp. 270–281
This article considers linear panel data models where the dependence of the regressors and the unobservables is modeled through a factor structure. The number of time periods and the sample size both go to infinity. Unlike in most existing methods for the estimation of this type of models,...
Koen Jochmans
vol. 14, 2023, pp. 417–433
We consider point estimation and inference based on modifications of the profile likelihood in models for dyadic interactions between n agents featuring agent-specific parameters. The maximum-likelihood estimator of such models has bias and standard deviation of order n-1 and so is asymptotically...
Estelle Medous, Camelia Goga, Anne Ruiz-Gazen, Jean-François Beaumont, Alain Dessertaine, and Pauline Puech
vol. 49, n. 2, December 2023, pp. 385–410
In this paper, we investigate how a big non-probability database can be used to improve estimates of finite population totals from a small probability sample through data integration techniques. In the situation where the study variable is observed in both data sources, Kim and Tam (2021) proposed...
Ingela Alger, and Laurent Lehmann
vol. 13, December 2023, p. 1288–1319
We model the evolution of preferences guiding behavior in pairwise interactions in group-structured populations. The model uses long-term evolution theory to examine different interaction scenarios, including conditional preference expression upon recognition of the partner’s type. We apply the...
Hai-Anh H. Dang, Toan L.D. Huynh, and Manh-Hung Nguyen
December 2023
Purpose:The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic. Design/methodology/approach:The authors contribute new theoretical and empirical evidence on the distributional impacts of the...
Christopher Rieser, Anne Ruiz-Gazen, and Christine Thomas-Agnan
vol. 72, December 2023, pp. 762–773
We consider models for network-indexed multivariate data, also known as graph signals, involving a dependence between variables as well as across graph nodes. The dependence across nodes is typically established through the entries of the Laplacian matrix by imposing a distribution that relates the...
Victor Gay
vol. 2, 2023
In this article, I perform a verification and a reproduction of the main results in Fernández and Fogli(2009), which estimates the role of culture in explaining the labor and fertility decisions of secondgeneration immigrant women to the United States in 1970. While I am able to verify Fernández...
Milo Bianchi, Matthieu Bouvard, Renato Gomes, Andrew Rhodes, and Vatsala Shreeti
vol. 65, n. 101068, December 2023
We connect various streams of academic literature to analyze how alternative competition and regulatory policies may affect the development of digital financial services, and particularly of mobile payments. Our main objective is to highlight the extent to which existing models, often coming from...
Henrik Paul Lopuhaä, Valérie Gares, and Anne Ruiz-Gazen
vol. 51, n. 6, December 2023, pp. 2415–2439
We provide a unified approach to S-estimation in balanced linear models with structured covariance matrices. Of main interest are S-estimators for linear mixed effects models, but our approach also includes S-estimators in several other standard multivariate models, such as multiple regression,...
Jingling Zhang, Jane Conway, and César Hidalgo
“Proceedings of the 14th IEEE International Conference on Cognitive Infocommunications”, 2023
People are known to judge artificial intelligence using a utilitarian moral philosophy and humans using a moral philosophy emphasizing perceived intentions. But why do people judge humans and machines differently? Psychology suggests that people may have different mind perception models for humans...
