Are the Poorest Catching Up?

Are global incomes converging or diverging Despite recent empirical evidence supporting the hypothesis of unconditional beta convergence, this paper argues that such findings overlook the stark reality facing the world’s poorest people. Many lower income countries, including those among the so-called “Bottom Billion,” continue to slip further behind the rest of the world, while the numbers of those living in extreme poverty are beginning to rise again after decades of decline. The paper explores how these contradictions can coexist and discusses the policy importance of looking beyond global average trends. The paper identifies three confusions that can arise when analyzing trends in income convergence. First, a focus on unconditional convergence can overlook important policy questions, such as whether countries are likely to eradicate extreme poverty or to catch up with the rest of the world. Tests for convergence may yield only partial answers, especially in light of recent findings that show that unconditional beta convergence can coexist with a significant group of countries slipping ever further behind the rest of the world. Meanwhile extreme poverty numbers are increasing rather than decreasing. Second, average trends can both obscure and be distorted by underlying differences in country composition. In the extreme case, while fast-growing China was below global mean incomes between 2000 and 2020, it significantly boosted empirical support for global convergence. Now that China has passed this threshold, the finding will likely reverse in the coming years as more data is available. Third, different levels of availability of time periods and country coverage can distort and even bias empirical findings, especially where limitations to data availability is correlated with lower income or diverging economies.

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Bibliographic Details
Main Authors: Collier, Paul, Cust, James, Rivera-Ballesteros, Alexis
Format: Working Paper biblioteca
Language:English
English
Published: World Bank, Washington, DC 2023-12-05
Subjects:EXTREME POVERTY, POVERTY DATA, DEVELOPMENT ECONOMICS, ECONOMIC GROWTH, CONVERGENCE, INEQUALITY,
Online Access:http://documents.worldbank.org/curated/en/099257212012320427/IDU04b6e9b6e0a87504b5d09a0b0012bb203154e
https://openknowledge.worldbank.org/handle/10986/40687
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spelling dig-okr-10986406872024-05-13T17:52:09Z Are the Poorest Catching Up? Collier, Paul Cust, James Rivera-Ballesteros, Alexis EXTREME POVERTY POVERTY DATA DEVELOPMENT ECONOMICS ECONOMIC GROWTH CONVERGENCE INEQUALITY Are global incomes converging or diverging Despite recent empirical evidence supporting the hypothesis of unconditional beta convergence, this paper argues that such findings overlook the stark reality facing the world’s poorest people. Many lower income countries, including those among the so-called “Bottom Billion,” continue to slip further behind the rest of the world, while the numbers of those living in extreme poverty are beginning to rise again after decades of decline. The paper explores how these contradictions can coexist and discusses the policy importance of looking beyond global average trends. The paper identifies three confusions that can arise when analyzing trends in income convergence. First, a focus on unconditional convergence can overlook important policy questions, such as whether countries are likely to eradicate extreme poverty or to catch up with the rest of the world. Tests for convergence may yield only partial answers, especially in light of recent findings that show that unconditional beta convergence can coexist with a significant group of countries slipping ever further behind the rest of the world. Meanwhile extreme poverty numbers are increasing rather than decreasing. Second, average trends can both obscure and be distorted by underlying differences in country composition. In the extreme case, while fast-growing China was below global mean incomes between 2000 and 2020, it significantly boosted empirical support for global convergence. Now that China has passed this threshold, the finding will likely reverse in the coming years as more data is available. Third, different levels of availability of time periods and country coverage can distort and even bias empirical findings, especially where limitations to data availability is correlated with lower income or diverging economies. 2023-12-05T15:34:24Z 2023-12-05T15:34:24Z 2023-12-05 Working Paper http://documents.worldbank.org/curated/en/099257212012320427/IDU04b6e9b6e0a87504b5d09a0b0012bb203154e https://openknowledge.worldbank.org/handle/10986/40687 English en Policy Research Working Papers; 10622 CC BY 3.0 IGO https://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf text/plain World Bank, Washington, DC
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libraryname Biblioteca del Banco Mundial
language English
English
topic EXTREME POVERTY
POVERTY DATA
DEVELOPMENT ECONOMICS
ECONOMIC GROWTH
CONVERGENCE
INEQUALITY
EXTREME POVERTY
POVERTY DATA
DEVELOPMENT ECONOMICS
ECONOMIC GROWTH
CONVERGENCE
INEQUALITY
spellingShingle EXTREME POVERTY
POVERTY DATA
DEVELOPMENT ECONOMICS
ECONOMIC GROWTH
CONVERGENCE
INEQUALITY
EXTREME POVERTY
POVERTY DATA
DEVELOPMENT ECONOMICS
ECONOMIC GROWTH
CONVERGENCE
INEQUALITY
Collier, Paul
Cust, James
Rivera-Ballesteros, Alexis
Are the Poorest Catching Up?
description Are global incomes converging or diverging Despite recent empirical evidence supporting the hypothesis of unconditional beta convergence, this paper argues that such findings overlook the stark reality facing the world’s poorest people. Many lower income countries, including those among the so-called “Bottom Billion,” continue to slip further behind the rest of the world, while the numbers of those living in extreme poverty are beginning to rise again after decades of decline. The paper explores how these contradictions can coexist and discusses the policy importance of looking beyond global average trends. The paper identifies three confusions that can arise when analyzing trends in income convergence. First, a focus on unconditional convergence can overlook important policy questions, such as whether countries are likely to eradicate extreme poverty or to catch up with the rest of the world. Tests for convergence may yield only partial answers, especially in light of recent findings that show that unconditional beta convergence can coexist with a significant group of countries slipping ever further behind the rest of the world. Meanwhile extreme poverty numbers are increasing rather than decreasing. Second, average trends can both obscure and be distorted by underlying differences in country composition. In the extreme case, while fast-growing China was below global mean incomes between 2000 and 2020, it significantly boosted empirical support for global convergence. Now that China has passed this threshold, the finding will likely reverse in the coming years as more data is available. Third, different levels of availability of time periods and country coverage can distort and even bias empirical findings, especially where limitations to data availability is correlated with lower income or diverging economies.
format Working Paper
topic_facet EXTREME POVERTY
POVERTY DATA
DEVELOPMENT ECONOMICS
ECONOMIC GROWTH
CONVERGENCE
INEQUALITY
author Collier, Paul
Cust, James
Rivera-Ballesteros, Alexis
author_facet Collier, Paul
Cust, James
Rivera-Ballesteros, Alexis
author_sort Collier, Paul
title Are the Poorest Catching Up?
title_short Are the Poorest Catching Up?
title_full Are the Poorest Catching Up?
title_fullStr Are the Poorest Catching Up?
title_full_unstemmed Are the Poorest Catching Up?
title_sort are the poorest catching up?
publisher World Bank, Washington, DC
publishDate 2023-12-05
url http://documents.worldbank.org/curated/en/099257212012320427/IDU04b6e9b6e0a87504b5d09a0b0012bb203154e
https://openknowledge.worldbank.org/handle/10986/40687
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