Relational Goods at Work! Crime and Sport Participation in Italy: Evidence from Panel Data Regional Analysis Over the Period 1997-2003

Building upon prior theoretical and empirical work, this study explores the sport participation trajectories of children across different socio-economic status (SES) categories to assess the possibility of changes in the SES-sport participation relationship as children age. Using representative panel data from the National Longitudinal Survey of Children and Youth, a multilevel analysis of 4,858 children aged 6 to 9 suggests that as children age the SES effect on sport participation persists over time. However, the SES effect on sport participation appears to have relatively small predictive import compared to other factors.

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1Are Some Groups More Vulnerable to Business Cycle Shocks than Others? A Regional Analysis of Pakistan’s Labor Market

THE LAHORE JOURNAL OF ECONOMICS ◽

10.35536/lje.2017.v22.isp.a9 ◽

2017 ◽

Vol 22 (Special Edition) ◽

pp. 199-231

Author(s):

Mehak Ejaz ◽

Kalim Hyder

Keyword(s):

Panel Data ◽

Business Cycle ◽

Social Innovation ◽

Negative Impact ◽

Regional Analysis ◽

Vulnerability Index ◽

Safety Net ◽

Policy Implications ◽

Vulnerable Groups ◽

Socioeconomic Groups

This study identifies the extent to which various socioeconomic groups are vulnerable to aggregate business cycle fluctuations. Socioeconomic groups are classified by gender, location, employment status, education, income and age cohort. The asymmetric behavior of aggregate economic growth indicates that some groups gain less during recovery and boom phases and are thus most vulnerable to recessions. A vulnerability index in calculated for different socioeconomic groups and the empirical results show that employers with a graduate degree in Balochistan are the most vulnerable group and that female workers are more vulnerable than male workers. Additionally, the study employs panel data on inflation and employment to investigate the implications of macroeconomic fluctuations on vulnerable groups. The results indicate that food inflation has a strong negative impact on real earnings, while nonfood inflation increases real earnings. The panel data and vulnerability index findings are consistent with each other. The study also presents policy implications for existing public social safety net programs and prospective private social innovation programs targeting vulnerable households.

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How Does Economic Policy Uncertainty Affect CO2 Emissions? A Regional Analysis in China

10.21203/rs.3.rs-385163/v1 ◽

2021 ◽

Author(s):

Yan Liu ◽

Zepeng Zhang

Keyword(s):

Economic Policy ◽

Panel Data ◽

Environmental Regulation ◽

Regional Analysis ◽

Policy Implications ◽

Kuznets Curve ◽

Policy Uncertainty ◽

Economic Policy Uncertainty ◽

Explanatory Variables ◽

The Impact

Abstract More recently, the COVID-19 pandemic outbreak has created massive economic policy uncertainty (EPU). EPU and its economic fallout have been a hot topic of study, however, the impact of EPU on CO2 emissions has been seldom addressed to date. This paper investigates the direct impact of the EPU on CO2 emissions and indirect effect via the environmental regulation at the national and regional levels using the panel data model and provincial panel data from 2003 to 2017 in China. The empirical results show that the central region is the most special one, which all explanatory variables except energy consumption are all non-significant even at the 10% level. For other samples, there is a significant positive correlation between EPU and CO2 emissions, whether in the national or regional level. Additionally, environmental regulation alone can achieve the purpose of curtailing carbon emissions. However, when the EPU is taken into consideration, environmental regulation exerts a significantly positive effect on CO2 emissions, leading to unintended increase in emissions. Moreover, the Environmental Kuznets Curve (EKC) hypothesis was confirmed in the national and eastern samples, while CO2 emissions increase monotonically as economic level grows for western datasets. Based on the overall findings, some policy implications were put forward.

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