Background: The occurrence of health shocks affects households economically in various ways. It most often leads to missed work, thus inducing a decrease in productivity and a loss of income. These effects are even more significant if the extent of absenteeism is high or if its duration is long.
Purpose: This study aims to analyse the effects of health shocks on the magnitude of absenteeism and to highlight the potential mitigating effect of health insurance on the magnitude of absenteeism among households affected by the shocks.
Methodology/approach: Absenteeism at work was measured here by the number of days lost due to health problems. Data from the Harmonised Survey on Household Living Conditions (EHCVM) 2019 were used for this purpose. To account for the endogeneity problem in this context, we use Two-Stage Least Square (2SLS) model to achieve our objectives.
Results: Our results suggest that health shocks significantly increase the magnitude of absenteeism from work by increasing the probability of a longer duration of absenteeism. Health insurance mitigates the magnitude of absenteeism by significantly reducing the probability of moving from short to long absenteeism by 3.27.
Conclusion: Health shocks have a significant effect on the magnitude of absenteeism. Given the role of health insurance in mitigating the effect of health shocks, this study highlights the need for an extension of health insurance to a greater number of people for a more significant effect.
{"title":"Effect of health shocks on the absenteeism magnitude at work in Togo: is health insurance a mitigating factor?","authors":"Yacobou Sanoussi, Ilessan Akom Dossou, Mawuli Couchoro","doi":"10.1186/s13561-024-00578-4","DOIUrl":"https://doi.org/10.1186/s13561-024-00578-4","url":null,"abstract":"<p><strong>Background: </strong>The occurrence of health shocks affects households economically in various ways. It most often leads to missed work, thus inducing a decrease in productivity and a loss of income. These effects are even more significant if the extent of absenteeism is high or if its duration is long.</p><p><strong>Purpose: </strong>This study aims to analyse the effects of health shocks on the magnitude of absenteeism and to highlight the potential mitigating effect of health insurance on the magnitude of absenteeism among households affected by the shocks.</p><p><strong>Methodology/approach: </strong>Absenteeism at work was measured here by the number of days lost due to health problems. Data from the Harmonised Survey on Household Living Conditions (EHCVM) 2019 were used for this purpose. To account for the endogeneity problem in this context, we use Two-Stage Least Square (2SLS) model to achieve our objectives.</p><p><strong>Results: </strong>Our results suggest that health shocks significantly increase the magnitude of absenteeism from work by increasing the probability of a longer duration of absenteeism. Health insurance mitigates the magnitude of absenteeism by significantly reducing the probability of moving from short to long absenteeism by 3.27.</p><p><strong>Conclusion: </strong>Health shocks have a significant effect on the magnitude of absenteeism. Given the role of health insurance in mitigating the effect of health shocks, this study highlights the need for an extension of health insurance to a greater number of people for a more significant effect.</p>","PeriodicalId":46936,"journal":{"name":"Health Economics Review","volume":"14 1","pages":"104"},"PeriodicalIF":2.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1016/j.eneco.2024.108102
Eleftheria G. Paschalidou, Nikolaos S. Thomaidis
This study investigates the dynamic connection between Spanish day-ahead electricity prices and various fundamental determinants, including average surface temperature, forecasted electricity demand, predicted renewable energy injection, natural gas futures prices and CO2 emission rights cost. Structural Dynamic Factor Models (SDFM) are employed to decompose each hourly price signal into systematic components linked to any of the fundamental indices mentioned above and unveil structural shocks moving the entire panel of variables. Empirical results indicate that Spanish day-ahead electricity prices have a strong fundamental basis; a great deal of their observed short- or long-run variations are explained by changes in temperature, load, renewable energy supply, natural gas and carbon permit cost.
{"title":"Risk factors in the formulation of day-ahead electricity prices: Evidence from the Spanish case","authors":"Eleftheria G. Paschalidou, Nikolaos S. Thomaidis","doi":"10.1016/j.eneco.2024.108102","DOIUrl":"https://doi.org/10.1016/j.eneco.2024.108102","url":null,"abstract":"This study investigates the dynamic connection between Spanish day-ahead electricity prices and various fundamental determinants, including average surface temperature, forecasted electricity demand, predicted renewable energy injection, natural gas futures prices and CO2 emission rights cost. Structural Dynamic Factor Models (SDFM) are employed to decompose each hourly price signal into systematic components linked to any of the fundamental indices mentioned above and unveil structural shocks moving the entire panel of variables. Empirical results indicate that Spanish day-ahead electricity prices have a strong fundamental basis; a great deal of their observed short- or long-run variations are explained by changes in temperature, load, renewable energy supply, natural gas and carbon permit cost.","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"40 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1177/00420980241293659
I-Ting Chuang, Qingqing Chen
This study empirically examines the adequacy of sidewalk widths in Auckland’s Central Business District in light of increasing active mobility and sustainable urban planning trends. Recognising the need to retrofit street spaces to prioritise pedestrians, we aim to determine whether current sidewalk dimensions meet the diverse requirements of users. We analysed average sidewalk widths and developed four mobility metrics – inflow and outflow travel distance, and density of visitors and locals – using a large-scale mobile location dataset comprising 113 million data points from 1.4 million users. These metrics, reflecting urban vibrancy and sidewalk use, were correlated with sidewalk widths to assess their adequacy. Furthermore, we applied cluster analysis to these mobility metrics, along with the diversity of Points of Interest, to categorise sidewalk segments, uncovering intricate usage patterns. Our findings indicate that sidewalks typically range from 2 to 5 m, catering to varied urban needs. Notably, we observed no direct correlation between sidewalk width and mobility patterns, but significant differences in inflow and outflow travel distances were evident, especially between key urban hubs and quiet residential neighbourhoods. Moreover, we identified seven distinct sidewalk categories, each reflecting unique qualities, suggesting that uniform widths do not define sidewalk utility or character. This highlights the need to rethink current capacity-focused sidewalk design, advocating for a nuanced approach that addresses the intricate demands of urban spaces. Our methodology offers flexibility and can be tailored to suit different urban contexts, providing a versatile tool for urban analysis and planning.
{"title":"Urban street dynamics: Assessing the relationship of sidewalk width and pedestrian activity in Auckland, New Zealand, based on mobile phone data","authors":"I-Ting Chuang, Qingqing Chen","doi":"10.1177/00420980241293659","DOIUrl":"https://doi.org/10.1177/00420980241293659","url":null,"abstract":"This study empirically examines the adequacy of sidewalk widths in Auckland’s Central Business District in light of increasing active mobility and sustainable urban planning trends. Recognising the need to retrofit street spaces to prioritise pedestrians, we aim to determine whether current sidewalk dimensions meet the diverse requirements of users. We analysed average sidewalk widths and developed four mobility metrics – inflow and outflow travel distance, and density of visitors and locals – using a large-scale mobile location dataset comprising 113 million data points from 1.4 million users. These metrics, reflecting urban vibrancy and sidewalk use, were correlated with sidewalk widths to assess their adequacy. Furthermore, we applied cluster analysis to these mobility metrics, along with the diversity of Points of Interest, to categorise sidewalk segments, uncovering intricate usage patterns. Our findings indicate that sidewalks typically range from 2 to 5 m, catering to varied urban needs. Notably, we observed no direct correlation between sidewalk width and mobility patterns, but significant differences in inflow and outflow travel distances were evident, especially between key urban hubs and quiet residential neighbourhoods. Moreover, we identified seven distinct sidewalk categories, each reflecting unique qualities, suggesting that uniform widths do not define sidewalk utility or character. This highlights the need to rethink current capacity-focused sidewalk design, advocating for a nuanced approach that addresses the intricate demands of urban spaces. Our methodology offers flexibility and can be tailored to suit different urban contexts, providing a versatile tool for urban analysis and planning.","PeriodicalId":51350,"journal":{"name":"Urban Studies","volume":"41 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142869844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1007/s10754-024-09388-x
Cristian Pardo, Jorge Sabat
This paper analyzes the impact of flat premiums on equity and efficiency within a regulated market. We examine the consequences of shifting from a risk-adjusted premium model to a flat premium system, particularly focusing on how this shift affects different income groups and market efficiency. Using a combination of theoretical modeling and empirical analysis, we find that flat premiums may lead to increased cross-subsidization among participants, with notable effects on both equity and efficiency. Our results suggest that while flat premiums simplify the regulatory framework, they also introduce trade-offs that policymakers must carefully consider.
{"title":"Equity and efficiency effects of flat premiums.","authors":"Cristian Pardo, Jorge Sabat","doi":"10.1007/s10754-024-09388-x","DOIUrl":"https://doi.org/10.1007/s10754-024-09388-x","url":null,"abstract":"<p><p>This paper analyzes the impact of flat premiums on equity and efficiency within a regulated market. We examine the consequences of shifting from a risk-adjusted premium model to a flat premium system, particularly focusing on how this shift affects different income groups and market efficiency. Using a combination of theoretical modeling and empirical analysis, we find that flat premiums may lead to increased cross-subsidization among participants, with notable effects on both equity and efficiency. Our results suggest that while flat premiums simplify the regulatory framework, they also introduce trade-offs that policymakers must carefully consider.</p>","PeriodicalId":44403,"journal":{"name":"International Journal of Health Economics and Management","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}