Logo
Munich Personal RePEc Archive

Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results

Silva Lopes, Artur (2024): Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results.

[thumbnail of MPRA_paper_120143.pdf]
Preview
PDF
MPRA_paper_120143.pdf

Download (134kB) | Preview

Abstract

Relying on low frequency econometric methods, a new simple procedure to assess international income convergence is introduced. It implements the long-run forecasting definition and discards short and medium-term information contents of the data as these may produce misleading evidence. Robustness to non-stationarities is achieved using first differences of (logged) per capita incomes.

Application to a selected sample of 90 different countries provides mixed but generally more positive evidence than most previous studies. Nevertheless, it casts many doubts on the inevitability of income convergence, at least in practically relevant time frames and as worldwide phenomenon.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.