Daniel Gerszon Mahler
Biographic Data
| ID | 6447331 |
|---|---|
| NAME | Daniel Gerszon Mahler |
| GIVEN NAMES | Daniel Gerszon |
| FAMILY NAME | Mahler |
| SIGNATURE | MAHLER D G |
| AFFILIATIONS | World Bank |
| ORCID | 0000-0001-7126-9240 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
A parsimonious approach to predicting income distributions
The World Bank’s New Inequality Indicator: The Number of Countries with High Inequality
The World Bank recently introduced a new key indicator to guide its work: the number of countries with high inequality, defined as a Gini index above 40. The new indicator was introduced as part of the new World Bank vision of ending poverty on a livable planet. This paper reviews why reducing inequality matters for ending poverty on a livable planet, summarizes the advantages and disadvantages of using the Gini index to track inequality, outline…
Missing Evidence: Tracking Academic Data Use around the World
Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes a method for tracking academic data use by country of subject, applying natural language processing to open-access research papers. The model’s predictions produce country estimates of the number of articles using data that are highly correlated with…
New Evidence on Inequality of Opportunity in Sub-Saharan Africa: More Unequal than we Thought
Unequal access to economic opportunity for individuals with different innate characteristics, such as ethnicity or parents’ socioeconomic status, is often seen as both morally undesirable and bad for economic growth. This paper estimates inequality of opportunity, or the share of inequality explained by birth characteristics, across 18 countries in Sub-Saharan Africa. For many countries, this is the first time inequality of opportunity is measure…
Intergenerational mobility around the world: A new database
Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty
Purchasing power parity exchange rates (PPPs) are used to estimate the international poverty line (IPL) in a common currency and account for relative price differences across countries when measuring global poverty. This paper assesses the impact of the 2017 PPPs on the nominal value of the IPL and global poverty. The analysis indicates that updating the $1.90 IPL in 2011 PPP dollars to 2017 PPP dollars results in an IPL of approximately $2.15—a …
When is there Enough Data to Create a Global Statistic?
To monitor progress toward global goals such as the Sustainable Development Goals, global statistics are needed. Yet cross-country data sets are rarely truly global, creating a trade-off for producers of global statistics: the lower is the data coverage threshold for disseminating global statistics, the more statistics can be made available, but the lower is the accuracy of these statistics. This paper quantifies the availability-accuracy trade-o…
The Impact of Covid-19 on Global Inequality and Poverty
The COVID-19 pandemic has had \n catastrophic economic and human consequences worldwide. This \n paper tries to quantify the consequences of the pandemic on \n global inequality and poverty in 2020. Since face-to-face \n household survey data collection largely came to a halt \n during the pandemic, a combination of data sources is used \n to estimate the impacts on poverty and inequality. This \n includes actual household survey data, where avai…
How much does reducing inequality matter for global poverty
Under what Conditions are Data Valuable for Development?
Data produced by the public sector \n can have transformational impacts on development outcomes \n through better targeting of resources, improved service \n delivery, cost savings in policy implementation, increased \n accountability, and more. Around the world, the amount of \n data produced by the public sector is increasing at a rapid \n pace, yet their transformational impacts have not been \n realized fully. Why has the full value of these …
Nowcasting Global Poverty
This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development Indicators and Google Earth Engine. The methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held-out data. A simple approach that scales the last observed welfare distribution by a fra…
Intergenerational Mobility around the World
Using individual data from over 400 surveys, this paper compiles a global database of intergenerational mobility in education for 153 countries covering 97 percent of the world’s population. For 87 percent of the world’s population, it provides trends in intergenerational mobility for individuals born between 1950 to 1989. The findings show that absolute mobility in education—the share of respondents that obtains higher levels of education than t…
Lives and livelihoods: Estimates of the global mortality and poverty effects of the Covid-19 pandemic
How Much Does Reducing Inequality Matter for Global Poverty
The goals of ending extreme poverty by 2030 and working towards a more equal distribution of incomes are part of the United Nations' Sustainable Development Goals. Using data from 166 countries comprising 97.5 percent of the world's population, we simulate scenarios for global poverty from 2019 to 2030 under various assumptions about growth and inequality. We use different assumptions about growth incidence curves to model changes in inequality, …
How Much Does Reducing Inequality Matter for Global Poverty
Poverty Reduction-Inequality Poverty Reduction-Poverty Assessment Poverty Reduction-Poverty Lines Poverty Reduction-Poverty Monitoring & Analysis Poverty Reduction-Poverty and Health
The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees
This paper proposes a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. It illustrates how these methods represent a substantial improvement over existing empirical approaches to measure inequality of opportunity. First, the new methods minimize the risk of arbitrary and ad hoc model selection. Second, they provide a standardized way to trade off upward and downward biases in inequality of o…
Fair Progress: Economic Mobility across Generations around the World
Fair Progress? Economic Mobility Across Generations Around the World looks at an issue that has gotten much attention in the developed world, but with, for the first time, new data and analysis covering most of the world, including developing economies. The analysis examines whether those born in poverty or in prosperity are destined to remain in the same economic circumstances into which they were born, and looks back over a half a century at wh…
The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees
This paper proposes a set of new methods to estimate inequality of opportunity based on conditional inference regression trees. It illustrates how these methods represent a substantial improvement over existing empirical approaches to measure inequality of opportunity. First, the new methods minimize the risk of arbitrary and ad hoc model selection. Second, they provide a standardized way to trade off upward and downward biases in inequality of o…
Fair Progress: Economic Mobility across Generations around the World
Fair Progress? Economic Mobility Across Generations Around the World looks at an issue that has gotten much attention in the developed world, but with, for the first time, new data and analysis covering most of the world, including developing economies. The analysis examines whether those born in poverty or in prosperity are destined to remain in the same economic circumstances into which they were born, and looks back over a half a century at wh…
How Much Does Reducing Inequality Matter for Global Poverty
Poverty Reduction-Inequality Poverty Reduction-Poverty Assessment Poverty Reduction-Poverty Lines Poverty Reduction-Poverty Monitoring & Analysis Poverty Reduction-Poverty and Health
How Much Does Reducing Inequality Matter for Global Poverty
The goals of ending extreme poverty by 2030 and working towards a more equal distribution of incomes are part of the United Nations' Sustainable Development Goals. Using data from 166 countries comprising 97.5 percent of the world's population, we simulate scenarios for global poverty from 2019 to 2030 under various assumptions about growth and inequality. We use different assumptions about growth incidence curves to model changes in inequality, …
Under what Conditions are Data Valuable for Development?
Data produced by the public sector \n can have transformational impacts on development outcomes \n through better targeting of resources, improved service \n delivery, cost savings in policy implementation, increased \n accountability, and more. Around the world, the amount of \n data produced by the public sector is increasing at a rapid \n pace, yet their transformational impacts have not been \n realized fully. Why has the full value of these …
Nowcasting Global Poverty
This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development Indicators and Google Earth Engine. The methods are evaluated by withholding measured poverty rates and determining how accurately the methods predict the held-out data. A simple approach that scales the last observed welfare distribution by a fra…
Intergenerational Mobility around the World
Using individual data from over 400 surveys, this paper compiles a global database of intergenerational mobility in education for 153 countries covering 97 percent of the world’s population. For 87 percent of the world’s population, it provides trends in intergenerational mobility for individuals born between 1950 to 1989. The findings show that absolute mobility in education—the share of respondents that obtains higher levels of education than t…
Lives and livelihoods: Estimates of the global mortality and poverty effects of the Covid-19 pandemic
Assessing the Impact of the 2017 PPPs on the International Poverty Line and Global Poverty
Purchasing power parity exchange rates (PPPs) are used to estimate the international poverty line (IPL) in a common currency and account for relative price differences across countries when measuring global poverty. This paper assesses the impact of the 2017 PPPs on the nominal value of the IPL and global poverty. The analysis indicates that updating the $1.90 IPL in 2011 PPP dollars to 2017 PPP dollars results in an IPL of approximately $2.15—a …
When is there Enough Data to Create a Global Statistic?
To monitor progress toward global goals such as the Sustainable Development Goals, global statistics are needed. Yet cross-country data sets are rarely truly global, creating a trade-off for producers of global statistics: the lower is the data coverage threshold for disseminating global statistics, the more statistics can be made available, but the lower is the accuracy of these statistics. This paper quantifies the availability-accuracy trade-o…
The Impact of Covid-19 on Global Inequality and Poverty
The COVID-19 pandemic has had \n catastrophic economic and human consequences worldwide. This \n paper tries to quantify the consequences of the pandemic on \n global inequality and poverty in 2020. Since face-to-face \n household survey data collection largely came to a halt \n during the pandemic, a combination of data sources is used \n to estimate the impacts on poverty and inequality. This \n includes actual household survey data, where avai…
How much does reducing inequality matter for global poverty
Intergenerational mobility around the world: A new database
The World Bank’s New Inequality Indicator: The Number of Countries with High Inequality
The World Bank recently introduced a new key indicator to guide its work: the number of countries with high inequality, defined as a Gini index above 40. The new indicator was introduced as part of the new World Bank vision of ending poverty on a livable planet. This paper reviews why reducing inequality matters for ending poverty on a livable planet, summarizes the advantages and disadvantages of using the Gini index to track inequality, outline…
Missing Evidence: Tracking Academic Data Use around the World
Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes a method for tracking academic data use by country of subject, applying natural language processing to open-access research papers. The model’s predictions produce country estimates of the number of articles using data that are highly correlated with…
New Evidence on Inequality of Opportunity in Sub-Saharan Africa: More Unequal than we Thought
Unequal access to economic opportunity for individuals with different innate characteristics, such as ethnicity or parents’ socioeconomic status, is often seen as both morally undesirable and bad for economic growth. This paper estimates inequality of opportunity, or the share of inequality explained by birth characteristics, across 18 countries in Sub-Saharan Africa. For many countries, this is the first time inequality of opportunity is measure…
A parsimonious approach to predicting income distributions
Income, Poverty, and Inequality (14 works) · Economics (12 works) · Mathematics (10 works) · Economic growth (9 works) · Development economics (8 works) · Inequality (8 works) · Poverty (8 works) · Geography (7 works) · Population (5 works) · Demography (4 works)