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- Henninger, Ella & Smith, E. Keith (2024): Beyond the haze: Decomposing the effect of economic inequality on global air quality from 2000 to 2020
Empirically, studies have focused on either between-country (cross-national comparisons) or within-country (temporal changes) dynamics, but these related effects have not been simultaneously addressed. Employing a comprehensive dataset spanning 156 countries over two decades (2000−2020), we take a distinctive dual approach to examine the effects of economic inequality, economic development, and democratic institutions on air pollution exposure within and across countries. First, against expectations, we find that within countries over time, increases in economic inequality correlate with reduced air pollution. ... Second, between countries, economic inequality has a limited association with air pollution levels. Third, the effects of economic inequality on air pollution levels within and between countries are substantively small in comparison to the impact of economic development and democracy.
RePEc:eee:ecolec:v:222:y:2024:i:c:s0921800924001071 Save to MyIDEAS - Han, Sae Hwang (2021): Health consequences of retirement due to non-health reasons or poor health
This study aimed to contribute to our understanding of the complex linkage between retirement and health by estimating health consequences of retirement transitions that were not driven by health reasons separately from those caused by poor health, while taking into consideration the health differences that exist between individuals who engage in different labor force behaviors.
RePEc:eee:socmed:v:273:y:2021:i:c:s027795362100099x Save to MyIDEAS - Tibor András Marton & Anna Kis & Anna Zubor-Nemes & Anikó Kern & Nándor Fodor (2020): Human Impact Promotes Sustainable Corn Production in Hungary
The within-between random effect model was performed with three generic specifications to address time constant indicators as well. ... We addressed the effect of elevated carbon dioxide (CO 2 ) as an important factor of diverse human impact.
RePEc:gam:jsusta:v:12:y:2020:i:17:p:6784-:d:402091 Save to MyIDEAS - Zachary Parolin (2018): Race, Social Assistance & the Risk of Child Poverty across the 50 United States
Building on theorizations of opportunity hoarding and minority threat, I then apply a ‘within-between’ random-effects model to state-year panel data and conclude that states with larger percentages of black residents are less likely to prioritize the ‘provision of cash assistance’ spending priority and more likely to prioritize the ‘discouragement of lone motherhood.’
RePEc:hdl:wpaper:1804 Save to MyIDEAS - Gemma Abio & Ció Patxot & Alexandrina Stoyanova & Raquel Andrés & Guadalupe Souto (2022): Lifecycle consumption and household structure: A pseudo-panel approach
After reviewing the previous literature, adjusting cohort averages to timeinvariant and time-variant household characteristics, we propose employing the multilevel modelling approach WBRE (Within-Between Random Effects model). ... We observe a negative effect for number of toddlers when this characteristic is considered as a lifecycle predictor, while its impact is positive when comparisons are made between cohorts. Changing status from renter to owner has a positive within effect (lifecycle predictor), while the effect of owning on consumption is negative when contextual comparisons are made.
RePEc:ewp:wpaper:436web Save to MyIDEAS - Sochas, Laura & Chanfreau, Jenny (2024): Austerity as reproductive injustice: Did local government spending cuts unequally impact births?
Using nationally representative UK Household Longitudinal Study (UKHLS) data and a within-between random effects model, we analyse whether local government spending cuts were associated with intersectional inequalities in childbearing over the 2010-2020 period.
RePEc:osf:socarx:894p3 Save to MyIDEAS - Sem Duijndam & Pieter van Beukering (2021): Understanding public concern about climate change in Europe, 2008–2017: the influence of economic factors and right-wing populism
European survey data shows strong temporal fluctuations in climate change concern within European countries and large differences in concern between these countries. ... This study is the first to apply within-between random effects models to simultaneously analyze longitudinal and cross-sectional determinants of climate change concern, and examine if and how the influence of these determinants has changed over time. Substantively, it researches the nexus between climate change and two other crises that have captured the imagination of European publics over the studied period: the liberal democracy crisis and the economic crisis. ... We find only a weak negative longitudinal relationship between such concern and the popularity of right-wing populist parties, and no significant cross-sectional relationship. ... However, this negative longitudinal relationship with unemployment weakens considerably over time, illustrating the importance of including dynamic effects in modeling efforts to generate more reliable results.Key policy insights The percentage of European respondents mentioning climate change as one of the most serious world problems declined from 65% in 2008 to 43% in 2017.This study does not find a strong direct relationship between the rise of climate skeptic right-wing populist parties and public concern about climate change.Economic factors are important predictors of climate change concern, with GDP per capita being the dominant driver of between-country differences, and unemployment the dominant within-country predictor.The marginal impact of unemployment was much stronger during, rather than after, the economic crisis.
RePEc:taf:tcpoxx:v:21:y:2021:i:3:p:353-367 Save to MyIDEAS