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Catherine Cazals, Thierry Magnac, Jonathan Pope, and Soterios Soteri
Pier Luigi Parcu, Timothy J. Brennan, and Victor Glass (eds.), Springer Nature Switzerland AG, 2023
Michele Bisceglia, and Jorge Padilla
vol. 32, n. 1, 2023, pp. 207–222
Hybrid marketplaces, such as Amazon's and Zalando's stores or Apple's and Google's app stores, which distribute their own products and services in competition with those of third-party sellers, play a significant and growing role in the internet economy. This paper shows that such platforms react...
Mamadou Thiam
vol. 74, n. 2, 2023, pp. 83–94
In this paper we discuss the trade liberalization effects on employment and wages in two symmetrical unionized countries. Two firms which produce differentiated goods compete in Cournot. The employment-wage equilibrium results from efficient bargaining between firm and union. We find that trade...
Mamadou Thiam, and Jean-Claude Kouakou Brou
vol. 43, n. 4, December 2023, pp. 1642–1655
This paper aims to study the impact of external debt on capital flight conditional on the institutional quality of host countries. Three major contributions emerge. First, the role of external debt in capital flight is clarified. Econometric results based on 26 sub-Saharan African countries over...
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...
