Silva Lopes, Artur (2024): Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results.
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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.
Item Type: | MPRA Paper |
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Original Title: | Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results |
English Title: | Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results |
Language: | English |
Keywords: | ncome convergence; growth empirics; low frequency; interval forecasting |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods N - Economic History > N1 - Macroeconomics and Monetary Economics ; Industrial Structure ; Growth ; Fluctuations > N10 - General, International, or Comparative O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Empirical Studies of Economic Growth ; Aggregate Productivity ; Cross-Country Output Convergence |
Item ID: | 120143 |
Depositing User: | Artur C. B. da Silva Lopes |
Date Deposited: | 20 Feb 2024 15:14 |
Last Modified: | 20 Feb 2024 15:14 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/120143 |