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Publication date: 27 September 2022

Jakub Harman and Eva Rievajová

The purpose of this paper is to explore the relationship between suicide rates broken down by gender and socio-economic factors in the Slovak Republic.

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Abstract

Purpose

The purpose of this paper is to explore the relationship between suicide rates broken down by gender and socio-economic factors in the Slovak Republic.

Design/methodology/approach

This paper uses panel data of 79 counties of the Slovak Republic for the period 1997–2019. Methodology used includes fixed effects regression and sensitivity analysis. Also, regressions with lagged variables are used.

Findings

The results show that per capita income and unemployment rate are associated with increased risk of suicide rates for both genders. Economic growth is negatively correlated and significant only for women. Women’s participation in the labor market does not have a significant impact. Social factors, such as divorce and fertility rate, have a significant effect on men but insignificant on women. Strong faith is associated with increasing men’s suicide rates. Sensitivity analysis confirmed the results. This paper also examined the possibility of cumulation of the effects by using lagged variables. Unemployment rate has a significant effect only in the simultaneous year and for men only. Per capita income and economic growth have insignificant impact for both the genders. Divorce rate has a significant positive relationship for men, if measured in the previous year. The fertility rate is negatively correlated with the suicide rate of women up to two years after the birth. Higher participation of women in the labor market has a positive relationship with men’s suicides in the simultaneous year.

Research limitations/implications

Few limitations of this paper need to be stated. First, the data are not balanced, as data for some districts and years are missing. Also, it is possible to collect data only for a maximum period of 29 years (as the Slovak Republic exists only from year 1993). Moreover, important variables in suicide research, like alcohol consumption or drug use, are not collected on the district level. Therefore, poor data availability is putting barriers to research of this area in the Slovak Republic. Second, there is a lack of previous studies in the Slovak Republic. According to the authors’ knowledge, this is the first paper to deal with issue of suicides and socio-economic factors in the Slovak Republic; therefore, some important factors of the Slovak Republic influencing the results of this paper may be missed. Third, limitations in the methodological approach might influence the paper. The lagged-variables approach might require further methodological improvements and research like implementing a structural regression model.

Originality/value

According to knowledge of the authors, this relationship has not yet been examined in Slovakia. This provided space for this paper. According to the information presented in this paper, it is important to take individual economic and social circumstances into account when developing suicide prevention programs. The results of this paper may lead to useful guidelines for health policymakers, but addressing this issue certainly requires further research.

Details

Journal of Aggression, Conflict and Peace Research, vol. 15 no. 4
Type: Research Article
ISSN: 1759-6599

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Article
Publication date: 13 September 2023

Jakub Harman and Lucia Bartůsková

The gender pay gap is a well-documented phenomenon in labor economics. Based on the 2018 Structure of Earnings Survey (SES), the authors estimate the impact of observable…

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Abstract

Purpose

The gender pay gap is a well-documented phenomenon in labor economics. Based on the 2018 Structure of Earnings Survey (SES), the authors estimate the impact of observable characteristics on the gender pay gap in Visegrad Group countries and provide policy recommendations on reducing the gender pay gap.

Design/methodology/approach

The Oaxaca-Blinder decomposition is applied to estimate the values of explained and unexplained parts of the gender pay gap. Gender pay gap in unadjusted as well as adjusted form is estimated using data on the individual level.

Findings

The results show that unadjusted gender pay gap proved to be stable at more than 20%. The authors found evidence that education widens gender pay gap implying that men have higher returns on education than women. Tertiary education proved to be the highest contributor to widening of gender pay gap. Results also show that there is strong sectoral and occupational segregation. Decomposition proved that only 21% of gender pay gap could be explained by observed characteristics. The unexplained part showed negative values, meaning women would have higher wages, if they had characteristics like men.

Research limitations/implications

Structure of Earnings Survey data are published every four years; therefore the authors’ dataset from year 2018 might not completely reflect today's reality. Unfortunately, newer data are note available yet. Second, Structure of Earning Survey data do not contain variables representing social factors of respondents like marital status, number of children or labour market absence due to birth or childcare. Third, data used for this study do not contain firms that have less than 10 employees; therefore, considerable portion of the labour market is omitted.

Originality/value

Results of this study will help policymakers understand the roots and causes of the gender pay gap in Visegrad Group countries but addressing this issue requires further research.

Details

Journal of Economic Studies, vol. 51 no. 4
Type: Research Article
ISSN: 0144-3585

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