Paul Hufe
Biographic Data
| ID | 4466953 |
|---|---|
| NAME | Paul Hufe |
| GIVEN NAMES | Paul |
| FAMILY NAME | Hufe |
| SIGNATURE | HUFE P |
| AFFILIATIONS | University of Bristol |
| ORCID | 0000-0002-2264-761X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Just cheap talk? Investigating fairness preferences in hypothetical scenarios
The measurement of preferences often relies on surveys in which individuals evaluate hypothetical scenarios. This paper proposes and validates a novel factorial survey tool to measure fairness preferences. We examine whether a non-incentivized survey captures the same distributional preferences as an impartial spectator design, where choices may apply to a real person. In contrast to prior studies, our design involves high stakes, with respondent…
Learning income levels and inequality from spatial and sociodemographic data in Germany
This study explores the potential of predicting income inequality and income levels from attributes of the built, natural and social environment in Germany. Furthermore, it investigates differences in explanatory variables and estimation accuracy for municipalities with different social and spatial structure profiles. We use income tax data, the 2011 national census, and spatial data from various sources. The explanatory variables capture the spa…
Lower and upper bound estimates of inequality of opportunity for emerging economies
Equality of opportunity is an important normative ideal of distributive justice. In spite of its wide acceptance and economic relevance, standard estimation approaches suffer from data limitations that can lead to both downward and upward biased estimates of inequality of opportunity. These shortcomings may be particularly pronounced for emerging economies in which comprehensive household survey data of sufficient sample size is often unavailable…
The Roots of Inequality
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…
The local impacts of large-scale land acquisitions
Large-scale land acquisitions (LSLAs) are controversially discussed with respect to their local impacts. On the one hand, they are regarded as an opportunity for employment creation and a transfer of knowledge and technology, which enhances productivity and output in agriculture. On the other hand, they are said to impair food security and to foster land conflicts and environmental degradation. Despite the existence of numerous case studies, syst…
No prominent works on this page.
The local impacts of large-scale land acquisitions
Large-scale land acquisitions (LSLAs) are controversially discussed with respect to their local impacts. On the one hand, they are regarded as an opportunity for employment creation and a transfer of knowledge and technology, which enhances productivity and output in agriculture. On the other hand, they are said to impair food security and to foster land conflicts and environmental degradation. Despite the existence of numerous case studies, syst…
The Roots of Inequality
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…
Lower and upper bound estimates of inequality of opportunity for emerging economies
Equality of opportunity is an important normative ideal of distributive justice. In spite of its wide acceptance and economic relevance, standard estimation approaches suffer from data limitations that can lead to both downward and upward biased estimates of inequality of opportunity. These shortcomings may be particularly pronounced for emerging economies in which comprehensive household survey data of sufficient sample size is often unavailable…
Learning income levels and inequality from spatial and sociodemographic data in Germany
This study explores the potential of predicting income inequality and income levels from attributes of the built, natural and social environment in Germany. Furthermore, it investigates differences in explanatory variables and estimation accuracy for municipalities with different social and spatial structure profiles. We use income tax data, the 2011 national census, and spatial data from various sources. The explanatory variables capture the spa…
Just cheap talk? Investigating fairness preferences in hypothetical scenarios
The measurement of preferences often relies on surveys in which individuals evaluate hypothetical scenarios. This paper proposes and validates a novel factorial survey tool to measure fairness preferences. We examine whether a non-incentivized survey captures the same distributional preferences as an impartial spectator design, where choices may apply to a real person. In contrast to prior studies, our design involves high stakes, with respondent…
Economics (3 works) · Geography (3 works) · Income, Poverty, and Inequality (3 works) · Inequality (3 works) · Economic inequality (2 works) · Agricultural risk and resilience (1 work) · Agriculture (1 work) · Agriculture, Land Use, Rural Development (1 work) · Bounding overwatch (1 work) · Business (1 work)