Population and Economic Growth: a Panel Causality Analysis

Gaston Cayssials (), Fernando Antonio Ignacio González () and Silvia London ()
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Gaston Cayssials: Universidad de la República, Montevideo, Uruguay
Fernando Antonio Ignacio González: Universidad Católica del Norte, Coquimbo, Chile
Silvia London: Universidad Nacional del Sur, Bahía Blanca, Argentina

Population and Economics, 2024, vol. 8, issue 3, 220-240

Abstract: This paper examines the relationship between population growth and economic growth using panel data from 111 countries over the period from 1960 to 2019. In the first stage of the analysis, we divided the sample into three groups of countries using a non-parametric method. Unlike the ad hoc decisions made in previous studies, which were based on factors such as size or economic performance, these categories were determined objectively. We conducted a Granger causality analysis on internally homogeneous groups, composed of countries with similar trajectories in population and economic growth, which are clearly distinct from one another. Our results reveal significant qualitative differences in the dynamics of population and economic growth between these groups.

Keywords: time; series; analysis; minimal; spanning; tree; hierarchical; tree; population; dynamics; economic; growth; panel; causality; test (search for similar items in EconPapers)
JEL-codes: C10 C14 C38 J0 O40 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:arh:jpopec:v:8:y:2024:i:3:p:220-240

DOI: 10.3897/popecon.8.e109133

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