Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Non-parametric projections of the net-income distribution for all U.S. states for the Shared Socioeconomic Pathways
Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. Such impacts are especially important at subnational levels, but projections of income distributions at these levels are scarce. Here, we project U.S. state-level income distributions for the Shared Socioeconomic Pathways (SSPs). We apply a non-parametric approach, specifically a recently developed principal components algorithm to generate net income distributions for deciles across 50 U.S. states and the District of Columbia. We produce these projections to 2100 for three SSP scenarios in combination with varying projections of GDP per capita to represent a wide range of possible futures and uncertainties. In the generation of these scenarios, we also generated tax adjusted historical deciles by U.S. states, which we used for validating model performance. Our method thus produces income distributions by decile for each state, reflecting the variability in state income, population, and tax regimes. Our net income projections by decile can be used in both emissions- and impact-related research to understand distributional effects at various income levels and identify economically vulnerable populations.
Non-parametric projections of the net-income distribution for all U.S. states for the Shared Socioeconomic Pathways
Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. Such impacts are especially important at subnational levels, but projections of income distributions at these levels are scarce. Here, we project U.S. state-level income distributions for the Shared Socioeconomic Pathways (SSPs). We apply a non-parametric approach, specifically a recently developed principal components algorithm to generate net income distributions for deciles across 50 U.S. states and the District of Columbia. We produce these projections to 2100 for three SSP scenarios in combination with varying projections of GDP per capita to represent a wide range of possible futures and uncertainties. In the generation of these scenarios, we also generated tax adjusted historical deciles by U.S. states, which we used for validating model performance. Our method thus produces income distributions by decile for each state, reflecting the variability in state income, population, and tax regimes. Our net income projections by decile can be used in both emissions- and impact-related research to understand distributional effects at various income levels and identify economically vulnerable populations.
Non-parametric projections of the net-income distribution for all U.S. states for the Shared Socioeconomic Pathways
Kelly C Casper (Autor:in) / Kanishka B Narayan (Autor:in) / Brian C O’Neill (Autor:in) / Stephanie T Waldhoff (Autor:in) / Ying Zhang (Autor:in) / Camille P Wejnert-Depue (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
| DOAJ | 2023
Creating quantitative scenario projections for the UK shared socioeconomic pathways
| DOAJ | 2023
International Migration Projections across Skill Levels in the Shared Socioeconomic Pathways
| DOAJ | 2022
Gridded GDP Projections Compatible With the Five SSPs (Shared Socioeconomic Pathways)
| DOAJ | 2021
| DOAJ | 2020