Arnaud Deseau

Postdoctorant ,  Aix-Marseille Université , Faculté d'économie et de gestion (FEG)

Développement et économie politique
Deseau
Statut
Postdoctorant
Domaine(s) de recherche
Économie du développement, Macroéconomie
Thèse
2023, Université Catholique de Louvain
Téléchargement
CV
Contact
arnaud.deseau[at]univ-amu.fr
Site
https://arnauddeseau.github.io/
Résumé This paper evaluates the importance of access to justice (ATJ) for economic growth. To do so, we create a new database on the number of judges per capita by collecting data from various public institutions and academic publications. We use these data as a country-level indicator to capture the structural evolution of ATJ from 1970 to 2019 for a wide range of developed and developing countries. Using an instrumental variable approach in a dynamic panel setting to deal with endogeneity, we show that ATJ has a sizable positive effect on economic growth. The substantial aggregate effect of ATJ on growth is independent of countries' legal origin, customary law, rule of law or level of democracy. However, we find evidence that the economic returns from ATJ are higher in poorer countries. In terms of mechanisms, our results suggest that ATJ promotes growth via higher government accountability and improved institutional quality.''Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels'' [Sustainable Development Goal 16 (United Nations, 2015)] ✩ We would like to thank the editor, Evi Pappa, several anonymous referees, as well as Alexia Autenne,
Mots clés Access to justice, Economic Growth, Institutions, Judges, Access to justice Economic growth Institutions Judges
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Résumé The Malthusian trap is a well recognized source of stagnation in per capita income prior to industrialization. However, previous studies have found mixed evidence about its exact strength. This article contributes to this ongoing debate by estimating the speed of convergence for a panel of 9 preindustrial European economies over a long period of time (14th–18th century). The analysis relies on a calibrated Malthusian model for England and -convergence regressions. I find evidence of significant differences in the strength of the Malthusian trap between preindustrial European economies. The strongest estimated Malthusian trap is in Sweden, with a half-life of 20 years. The weakest estimated Malthusian trap is in England, with a half-life of about 230 years. This implies that some preindustrial economies were able to experience prolonged variations in their standards of living after a shock, while still being subject to Malthusian stagnation in the long run.
Mots clés Convergence, Homeostasis, Malthusian trap, Preventive checks, Positive checks, Malthusian model, Beta-convergence
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Résumé The Malthusian trap is a well recognized source of stagnation in per capita income prior to industrialization. However, previous studies have found mixed evidence about its exact strength. This article contributes to this ongoing debate, by estimating the speed of convergence for a wide range of economies and a large part of the Malthusian era. I build a simple Malthusian growth model and derive the speed of convergence to the steady state. A calibration exercise for the English Malthusian economy reveals a relatively weak Malthusian trap, or weak homeostasis, with a half-life of 112 years. I then use β-convergence regressions and historical panel data on per capita income and population to empirically estimate the speed of convergence for a large set of countries. I find consistent evidence of weak homeostasis, with the mode of half-lives around 120 years. The weak homeostasis pattern is stable from the 11th to the 18th century. However, I highlight significant differences in the strength of the Malthusian trap, with some economies converging significantly faster or slower than others.
Mots clés Marriage, Fertility, Malthusian model, Beta-convergence, Preventive checks, Malthusian trap, Homeostasis, Convergence
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