Economic Benefits of Gender Equality in the EU

Economic Benefits
of Gender Equality in
the European Union

Improving gender equality has many positive impacts on individuals and also on the society at large.

Economic case for gender equality in the EU

A more gender equal EU would have strong, positive GDP impacts growing over time, higher level of employment and productivity and could respond to challenges related to the ageing population in the EU. 

Effect of gender equality on GDP per capita

  • Slow progress
  • Rapid progress

GDP Per capita

Gender equality has strong, positive impacts on Gross Domestic Product (GDP) per capita which grow over time.

By 2050, improving gender equality would lead to an increase in EU (GDP) per capita by 6.1 to 9.6%, which amounts to €1.95 to €3.15 trillion.

Compared with labour market and education policies, gender equality policies have a strong impact on GDP. For example, a recent study showed that improvements in educational attainment across EU Member States would lead to a 2.2% increase in EU GDP in 2050 (DG EAC, 2016).

Effect of gender equality on Employment

  • Slow progress
  • Rapid progress

Employment

Improvements in gender equality would lead to an additional 10.5 million jobs in 2050, which would benefit both women and men.

About 70% of these jobs would be taken by women, however female and male employment rates meet in the long run, reaching an 80% employment rate by 2050.

New jobs occupied by women are particularly important as they can help to reduce poverty, one of the key priorities of the EU 2020 strategy. Women are generally affected by poverty more often than men because of lower employment and salary prospects. Hence, being in employment lowers the risk for poverty of women (EIGE, 2016).

Impact of gender equality in the GDP of EU Member States in 2050

EU Member States

The estimated GDP impacts of increased gender equality vary considerably across Member States, depending on the present level of achievement of gender equality.

Countries with more room to improve gender equality have much to gain. On average, improved gender equality in these countries is expected to lead to an increase in GDP of about 12% by 2050.

The best performing countries in the area of gender equality have already achieved good levels of gender equality and therefore already enjoy some of the associated economic benefits. However, further improvements in gender equality can generate additional economic gains even in these Member States, often reaching around 4% of GDP. 

Overall, improved gender equality could boost the long-term competitiveness of the EU economy. By 2050, exports are estimated to increase by about 0.7% whereas imports are forecast to decline by up to 1.2%, leading to an improved balance of trade.

How gender equality in STEM education leads to economic growth

Reducing the gender gap in Science, Technology, Engineering and Mathematics (STEM) education areas could help reduce skills gap, increase employment and productivity of women and reduce occupational segregation. Ultimately this would foster economic growth via both higher productivity and increased labour market activity.

However, despite good employment opportunities and highly productive jobs in this area, there is currently a low proportion of women studying and graduating in STEM subjects. 

GDP Impact of closing gender gaps in STEM Education

  • Slow progress
  • Rapid progress

STEM - GDP

Increasing the participation of women in STEM subjects will have a strong positive GDP impact at EU level.

Closing the gender gap in STEM would contribute to an increase in EU GDP per capita by 2.2 to 3.0% in 2050. In monetary terms, closing the STEM gap leads to an improvement in GDP by €610 - €820 billion in 2050.

Employment Impact of closing gender gaps in STEM Education

  • Slow progress
  • Rapid progress

STEM –  Employment

Closing gender gaps in STEM education would have a positive impact on employment.  Total EU employment would rise by 850,000 to 1,200,000 by 2050. These jobs are forecasted mostly in the long term as employment rates will rise only after more women studying STEM finish their education.

The new jobs are likely to be highly productive because women graduating from STEM often progress into high value added positions in sectors such as information and communication or financial and business services.

Higher productivity of STEM jobs is likely to result into higher wages. Remarkably, the study shows a closure of the gender wage gap by 2050.

How closing the gender labour market activity and pay gap leads to economic growth

I        ncreasing women’s participation in the work force and closing the pay gap between women and men will have a positive impact on economic growth in the EU. Despite recent improvements, there are still persistent gender gaps in labour market activity and pay, which result in lower employment rates for women, potentially limiting EU growth.

        

 

  • Slow progress
  • Rapid progress

Activity - GDP

Closing the activity rate gap, which refers to the percentage of people who are either working or looking for work, would generate a GDP per capita increase of 3.2 to 5.5% in 2050. This is up to €280 billion increase in GDP by 2030 and €1,490 billion increase in GDP by 2050.

 

  • Slow progress
  • Rapid progress

Activity - Employment

Closing the activity rate gap, would also lead to a large increase in employment. The study forecasts an increase of 3.5 to 6 million jobs in 2050 as a result of additional women entering the labour force.

 

  • Slow progress
  • Rapid progress

Pay gap - GDP

GDP effects are much lower when closing the gender pay gap, with a 0-0.2% increase in GDP per capita over the 2030-2050 period.

Closing pay gaps has other positive impacts.  An increase in women’s salaries is likely to lower poverty rates among women and reduce the gender gap in old age pensions (EIGE, 2016). A reduction in the pay gap can also increase women’s confidence and allow them to gain more responsibility at work and progress into leadership positions (Booth 2003).

 

  • Slow progress
  • Rapid progress

Pay gap - Activity

Closing the wage gap has rather small effect on the GDP. On the one hand, higher wages encourage more women to enter the labour market, leading to an increase in the productive capacity of the economy and therefore increased employment.

An increase in women’s salaries contributes to reducing the activity rate gap, possibly accounting for part of the positive employment effects associated with improving the labour market activity of women. On the other hand, higher labour costs drive firms to reduce their demand for labour, leading to fewer jobs on offer.  

The outcome of improved gender equality on demographics and labour supply

Improved gender equality measures could also help address demographic challenges for the EU, such as the ageing population. Previous research suggests that gender equality in education, labour market participation and a more balanced sharing of unpaid work between women and men is linked to higher fertility rates, which would lead to a larger population and an increase in long-term labour supply.

This is important in light of current EU demographic projections, which predict a rise in the number of older people out of the labour force.

 

  • Slow progress
  • Rapid progress

Demographics - GDP

The impacts of higher fertility rates on GDP per capita are negative initially, as a higher dependency ratio leads to a fall in consumption per capita (despite an overall increase in consumption and GDP).

In the long term (after 2040), there is an increase in the size of the labour force as the new-borns reach working age. At this point, growth in GDP per capita increases rapidly relative to the baseline.

 

  • Slow progress
  • Rapid progress

Demographics - Employment

An initial increase in fertility rates generates an increase in consumption, leading to an increase in demand for goods and services which affects positively employment.

Over the 2040-2050 period, the pace of increase in employment is more rapid, as more men and women reach working age. This increases the potential productive capacity of the economy, increases real incomes and, through the multiplier effect, leads to additional increases in economic output and employment.

By 2050, there are an additional 2.5 million people in employment under the rapid progress scenario.

The EU policy context

The positive impacts of gender equality can be largely attributed to addressing some of the structural weaknesses of the EU economy, identified in the Europe 2020 strategy: employment, productivity and population ageing issues.

To achieve smart, sustainable and inclusive growth the European Union needs to start mainstreaming gender equality now. 

 

Extra Gains

Tackling all gender equalities together is better than tackling them one by one. EIGE’s study shows that gender equality in one domain has spill-over effects in other domains, e.g. more women in STEM studies can lead to improvements in labour market activity rates of women, and an increase in women’s wages.

Fostering a greater participation of women in the labour market and ensuring pay equality is crucial to meet the Europe 2020 target to achieve an overall employment rate of women and men of at least 75% by 2020.

Putting gender equality at the heart of the follow-up strategy of Europe 2020 and other policy reforms would make the economic system more inclusive. It would enable women to fulfil their full potential and benefit everyone in society.

About the study

EIGE’s study on the economic impact of gender equality in the EU is unique in the EU context, as it uses a robust econometric model to estimate economic impacts of improved gender equality in several broad areas such as education, labour market activity and wages. It also considers the demographic impact of such improvements.

It’s the first time that a study has attempted econometric modelling of such a broad range of potential impacts of improved gender equality in the EU.

Key methodological steps

The following schematic presents the high level overview of the methodology for the socio-economic modelling of the gender equality scenarios.

Step 1: E3M3 modelling framework

Step 2: Pathway selection

Step 3: Approach to modelling the economic impacts of gender equality

 

Evidence of economic benefits of gender equality in other policy areas

The research team reviewed the literature in EU Member States and at EU level in order to map and evidence economic impacts of gender equality in different policy areas:

Increasing gender equality in education

Indicators used to measure the economic impact of increasing gender equality

Fertility rate

Evidence of economic impact

NEGATIVE EFFECT/DECREASE

  • Existing evidence suggests that, especially in developing countries, an increase in female education reduces fertility (Barro and Lee, 1994; Brummet, 2008; World Bank, 2011, Klassen, 2009)

Per capita and total GDP growth rate

Evidence of economic impact

NEGATIVE EFFECT/DECREASE (for female education)

  • Barro and Lee, 1994 found that female education was negatively correlated with economic growth. Barro and Lee attribute this to a sign of ‘backwardness’ in society, where gender differences may be picking up on issues within less developed countries that may not have been captured with an initial GDP variable
  • Lagerlof, 2003 also found that increasing gender equality in education can lead to reduction in economic growth

POSITIVE EFFECT/INCREASE

  • Baliamoune, 2008 found that the gender gap in education has a negative effect on income growth. The study found out that the gender gap in education has a stronger negative effect on growth in Arab countries
  • Brummet, 2008 identified a significant negative impact of the gender gap in education on growth. Similar evidence was provided by Klasen, 2009, who also found that gender gaps in education had a negative impact on economic growth. The regions with the largest gender gaps in education – South Asia, sub-Saharan Africa, and the Middle East and North Africa (MENA) region – were found to incur the largest losses in terms of economic growth. For instance, the total combined effect (direct and indirect) in South Asia, sub-Saharan Africa and the MENA region was estimated respectively at a 1 %, 0.8 % and 0.7 % annual loss in per capita growth

Labour productivity

Evidence of economic impact

POSITIVE/INCREASE

  • There is some evidence that female education has positive impacts on overall labour productivity, which is more pronounced than in the case of male education (Knowles, Lorgelly, Owen, 2002)

Life expectancy/family and child health

Evidence of economic impact

POSITIVE/INCREASE

  • The literature also identified other types of social benefits associated with decreases in gender gaps in education, such as reduced infant and child mortality, improvement in family and child health and increase in life expectancy (Barro and Lee, 1994; Schultz, 1988; Behrman and Deolalikar, 1988; Bellew, Raney and Subbarao, 1992; Subbarao and Raney, 1995)

Investment

Evidence of economic impact

POSITIVE/INCREASE

  • Klasen, 2009 found a positive and significant relationship between increased gender equality and education and investment

Increasing gender equality in labour market participation

Indicators used to measure the economic impact of increasing gender equality

Per capita and total GDP growth rate

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • International level including EU level:
    • 13 % higher GDP in the euro area, with the elimination of the gender employment gap (Daly, 2007)
    • 27–29 % higher GDP for EU average with full gender balance on the labour market (Lofstrom, 2009)
    • Higher GDP ranging from +3 % in Sweden to +19 % in Italy with increasing women’s employment rate (Aguirre et al., 2012)
    • Higher GDP growth (+1.3 %) with improvement in equality of opportunities (measured by the following indicators: fertility rate, secondary enrolment gap and literacy rate gap) and higher GDP growth (+1.19 %) with improvement in equality of outcomes (measured by share of women in parliament and gender gap in labour force participation) (Mitra et al., 2015)
    • Loss in output per worker due to gender inequality in labour market participation (-40 % when all women are excluded from labour market) (Cuberes and Teignier, 2016)
    • 8 % increase in the annual rate of GDP growth due to the growth in women’s share in formal sector employment (Klasen, 1999)
    • Positive effect on the annual rate of GDP growth due to the growth in women’s share of the labour force (magnitude depending on the econometric specification used, Klasen and Lamanna, 2009)
    • 3.4 % growth in total factor productivity due to the growth in the share of women in the labour force (Loko and Diouf, 2009)
  • Country level:
    • 0.28 % GDP increase in Italy with +1 % women’s employment rate (Casarico and Profeta, 2007)
    • Higher Italian GDP if women’s employment rate increases (three different possible scenarios are presented, Zisza, 2008)
    • 0.3 % annual increase in real GDP in Japan if women’s participation rate increases by 9 % (Matsui et al., 1999)
    • Higher GDP in New Zealand if women increase labour force participation (two different possible scenarios are presented, Bryant et al., 2004)
    • From 2 % to 9 % higher GDP in Latin America by removing gender segregation in occupation (Tzannatos, 1999)
    • Higher per capita income (+319 %) by increasing the ratio of women-to-men managers (from 100 % men to 50–50) and higher per capita income (+153 %) by increasing the ratio of women-to-men workers (from women being 50 % of the employed to 66 %) in India (Esteve-Volart, 2009)

Fertility

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Del Boca et al. (2005) show that there is a positive correlation between employment and fertility across MS
  • In countries where it is relatively easy for women to work and have children, women’s employment and fertility both tend to be higher (Daly, 2007)
  • A more gender equal labour market, welfare system, or households can be accompanied by higher fertility at similar or even higher levels of employment (Smith and Bettio, 2008)

Investment in health and education of children

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Higher women’s labour market participation increases bargaining power in the household with positive effects on children’ human capital (Klasen and Lamanna, 2009; Kabeer and Natali, 2013)

Additional taxes and social security contributions

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Higher women’s labour market participation increases public revenues (Maier and Carl, 2003)

Social capital

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Higher labour market participation increases the opportunities of making social connections and networks at the workplace (Putnam 2000; Norris and Inglehart, 2003; Paugam and Russell, 2000)

Time devoted by fathers to childcare activities

Evidence of economic impact

POSITIVE EFFECT /INCREASE

  •  Fathers increase their care-giving time when mothers increase their paid work (Hallberg and Klevmarken, 2003; Sayer et al., 2004; Mancini and Pasqua, 2012)

Reducing the gender pay gap

Indicators used to measure the economic impact of increasing gender equality

GDP growth rate

Evidence of economic impact

POSITIVE EFFECT ON GROWTH

  • No evidence that wage discrimination stimulates economic growth (meta-analysis study, Schober and Winter-Ebmer, 2009)
  • Higher women’s wages reduce men’s wages only marginally and increase GDP (simulation study on Latin America, Tzannatos, 1999)
  • Wage discrimination discourages women’s labour market participation and decreases GDP per capita (theoretical model applied to US data, Cavalcanti and Tavares, 2008)

NEGATIVE EFFECT ON GROWTH FOR EXPORT-ORIENTED COUNTRIES

  • Reducing the pay gap reduces economic growth in the short run (study on 20 export- oriented semi-industrialised countries, Seguino, 2000 and 2011)

Savings rate

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • 1 % increase in the women’s wage bill share raises aggregate savings rate by 0.25 % GDP (Seguino and Floro, 2003)
  • Higher women’s wages increase saving rates (study on older US individuals, Rossi and Sierminska, 2014)
  • Higher women’s wage rates can lead to higher formal savings (Lee et al., 2010)

Expenditures on goods and services for children/sustainable goods

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Women may have a stronger preference than men for spending on goods and services that contribute to the human capital of their children (Stotsky, 2006)
  • Women tend to buy more eco-labelled or organic food, have a higher propensity to recycle, place more value on efficient energy, and pay closer attention to ethical issues in purchases than men (OECD, 2008)

Increasing gender equality in the distribution of unpaid work

Indicators used to measure the economic impact of increasing gender equality

Women’s health

Evidence of economic impact

POSITIVE EFFECT

  • Women's greater hours of unpaid work contribute to women experiencing more stress than men (study on time use data from Canada, McDonald et al., 2005)
  • Equalising gender roles would improve women’s health (study on time use data from US, Bird and Fremont, 1991)

Women’s labour market career

Evidence of economic impact

POSITIVE EFFECT

  • Paternity leave is correlated with shorter career breaks, longer working hours, fewer penalties in terms of promotions and wages and improved labour market positions for mothers (Pylkkanen and Smith, 2003; Keck and Saraceno, 2013)

Children’s well-being (social, emotional, physical and cognitive development)

Evidence of economic impact

POSITIVE EFFECT

  • Fathers’ involvement in childcare is positively associated with children’s social, emotional, physical and cognitive development (Tamis-LeMonda and Cabrera, 2002; Allen and Daly, 2007; Lamb, 2010)

Increasing availability, affordability and quality of social infrastructure

Indicators used to measure the economic impact of increasing gender equality

Fertility

Evidence of economic impact

POSITIVE EFFECT

  • Family reconciliation policies in the Nordic countries have a positive impact on fertility (Datta-Gupta et al., 2008)
  • Family policies can promote the labour supply of women and more equal role-sharing between mothers and fathers in Denmark and Sweden (Pylkkanen and Smith, 2003)
  • Unequal division of non-paid work within the household, and weak support for combining work and parenthood, reduce fertility intentions (Mills et al., 2008)
  • There is a positive correlation in OECD countries between attitudes supporting gender equality in the work environment and fertility (Mortvik and Spant, 2005)
  • Lower labour market penalties due to childbearing breaks induce higher fertility rates (Adsera, 2004)

Labour market attachment for mothers

Evidence of economic impact

POSITIVE EFFECT

  • Long and well-paid leave and generous provision of childcare services help mothers to remain in paid work (Keck and Saraceno, 2013)
  • Policies that help women to reconcile work and family increase women’s employment and reduce employment penalties after motherhood (Pacelli et al., 2013)

Increasing gender equality in firms’ leadership positions

Indicators used to measure the economic impact of increasing gender equality

Firm performance/labour productivity

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • International level including EU level:
    • Greater women’s representation in top positions is associated with 10 % higher rate of return on equity(report on EU companies, McKinsey & Co., 2007)
    • Companies with more women board members experience 53 % higher returns on equity, 42 % higher returns to sales, and 66 % higher returns on invested capital (study on Fortune 500 companies, Catalyst, 2007)
    • Gender-diverse boards are associated with significantly higher firm value (study using data on the Fortune 1000 firms in 1997, Carter et al., 2003)
    • The proportion of women board members is positively correlated with the rate of return on assets and the rate of return on equity (study on the 500 largest EU firms over the years 2010–2012, Isidro and Sobral, 2015)
  • Country-level academic studies:
    • Top women managers are positively associated with firm profits, value added and revenues (study on 2 500 largest Danish firms for the 1993–2001 period, Smith et al., 2006)
    • Top women managers significantly improve firm financial performance, but only when the firm’s strategy is focused on innovation (study on 1 500 US S&P firms, Dezno et al., 2012)
    • Firms with gender-diverse boardrooms are generally associated with increased labour productivity (study on 288 largest Australian firms, Ali et al., 2014)
    • Firms with a higher percentage of women board members are associated with significantly higher firm financial value (study on a sample of Spanish publicly listed companies over the 1995–2000 period, Campbell and Minguez-Vera, 2008)
    • Labour productivity in firms with a woman CEO significantly increases with the share of women workers (study on Italian manufacturing firms with at least 50 employees, Flabbi et al., 2014)
    • Women directors working in women-owned firms are associated with significant improvements in the firm’s operating profitability (study on Italian family-controlled firms over the 2000–2010 period, Amore et al., 2015)

NULL OR NEGATIVE EFFECT

  • Country-level academic studies:
    • Women managers do not significantly impact on firm performance (study on Danish firms with more than 50 employees, Parrotta and Smith, 2013)
    • Women board members do not significantly affect corporate performance, (study on UK listed firms over the 1996–2011 period, Gregory-Smith et al., 2013)
    • Women board members are not significantly associated with Tobin’s Q ([1]) (study on a sample of listed Danish firms during the 1998-2001 period, Rose, 2007)
    • Increased women’s representation in the board of directors significantly reduces Tobin’s Q and operating firm performance (study on the Norwegian law on gender quota in boards, Ahern and Dittmar, 2012)
    • Gender-diverse boards are generally associated with lower firm financial performance (study on a sample of US firms for the 1996–2003 period, Adams and Ferreira, 2009)

Firms’ employment

Evidence of economic impact

POSITIVE EFFECT

  • Firms with increasing share of women on boards are significantly less likely to undertake workforce downsizing (study on firms affected by the Norwegian law on gender quotas on boards, Matsa and Miller, 2014)
  • Firms owned by women are significantly less likely than firms owned by men to downsize their workforce (study on privately owned US firms in the 2006–2009 period, Matsa and Miller, 2013)

Women’s wage/gender wage gap

Evidence of economic impact

POSITIVE EFFECT

  • Women with wages above the median earn on average more when working for a woman CEO than for men CEOs (+7.8 % in the benchmark specification) (study on Italian manufacturing firms with at least 50 employees, Flabbi et al., 2014)
  • Women-owned firms are associated with a reduction in the gender wage gap by 1.5 % (study on Portugal covering the 1987–2000 period, Cardoso and Winter-Ebmer, 2010)

NULL EFFECT

  • No evidence that increases in the proportion of women board members has contributed to narrowing the gender wage gap (study on firms affected by the Norwegian law on gender quotas on boards, Bertrand et al., 2014)

Women’s career advancements

Evidence of economic impact

POSITIVE EFFECT

  • Increasing women’s leadership helps the career advancements of women in the lower echelons of the firm (study on white-collar workers of more than 4 000 Norwegian firms, Kunze and Miller, 2014)

Gender awareness

Evidence of economic impact

POSITIVE EFFECT

  • Women top managers and working proprietors are associated with firms that are more prone to provide childcare facilities and mentor women junior staff (study on Germany, Gagliarducci and Paserman, 2015)
  • Women leaders are more gender-sensitive than men leaders (study on the US, Tate and Yang, 2015)

Increasing gender equality in entrepreneurship positions

Indicators used to measure the economic impact of increasing gender equality

Aggregate productivity and income per capita

Evidence of economic impact

POSITIVE EFFECT

  • Loss in output per worker due to gender inequality in entrepreneurship (-10 % when all women are excluded from entrepreneurship) (Cuberes and Teigner, 2015)

Increasing gender equality in political decision-making

Indicators used to measure the economic impact of increasing gender equality

Policies concerning social issues

Evidence of economic impact

POSITIVE EFFECT /INCREASE

  • Country-level studies with loose control on endogeneity:
    • A larger fraction of women in politics is associated with a significantly higher degree of activity when it comes to issues relating to women, children and families (study on members of the lower houses of 12 US state legislatures in 1988, Thomas, 1991)
    • Women are found to have more gender-sensitive policy priorities (study on members of the lower houses of 12 US state legislatures in 1988, Thomas and Welch, 1991)
    • Child support enforcement policies are higher in states with a high number of women legislators (study on US states for the 1978–1991 period, Case, 1998)
    • Higher fraction of women legislators is significantly and positively related with expenditure on family assistance per capita, and the degree of child support enforcement (study on 48 continental US states over the 1950–1999 period, Besley and Case, 2003)
  • Country-level studies with endogeneity controls/addressing causal interpretation:
    • A greater share of women in local municipalities is associated with a significant increase in the expenditure on childcare and the care of the elderly (study on Swedish local councils, Svaleryd, 2002)
    • Women legislators are found to have a positive impact on policies investing in health and early education, to favour gender-sensitive laws, and to support redistributive policies (study on 16 larger states in India, Clots-Figueras, 2011)

Functioning of the government

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Women politicians are more likely to cooperate (Paxton and Hughes, 2007)
  • Women politicians are more likely to propose new and creative solutions to problems (study based on interviews with women politicians of the Thai parliament, Iwanaga, 2008)

Corruption

Evidence of economic impact

POSITIVE EFFECT/DECREASE

  • Higher shares of women politicians are associated with significantly lower levels of corruption (study on a sample of more than 100 countries, Dollar and Gatti, 2001)
  • Women are significantly more adverse to corruption and tax evasion (Torgler and Valev, 2010; World Bank, 2001; Swamy et al., 2001; Beamen et al., 2009)

Level of education of politicians

Evidence of economic impact

POSITIVE EFFECT/INCREASE

  • Gender quotas in elections significantly increase the years of schooling of politicians (study on Italian local municipalities in 1993–1995, Baltrunaite et al., 2014)

Stereotypes on women

Evidence of economic impact

POSITIVE EFFECT/REDUCTION

  • Gender quotas can be helpful in breaking down negative stereotypes against women (study on Italian local municipalities, De Paola et al., 2010)

Reducing the gender gap in health

Indicators used to measure the economic impact of increasing gender equality

Different labour market outcomes

Evidence of economic impact

  • Health has an impact on most labour market outcomes: wages, labour force participation, hours worked, retirement, job turnover. However, there is a lack of studies that analyse gender differences in labour market behaviour as a response to health shocks (Currie and Madrian, 1999).

POSITIVE EFFECT/REDUCTION

  • Health affects exit out of and entries into employment, with an higher impact on women than men Gomez et al., 2010)
  • Improved maternal health increased labour force participation of married women during the 20th century and generated a rise in income per capita of over 50 % via this channel (Albanesi and Olivetti, 2009)
  • Access to oral contraception has a positive effect on women’s education, career, labour force attachment and earning, and on long-run outcomes of children born (Goldin and Katz, 2002, Hock, 2008, Ananat and Hungerman, 2012, Bailey, 2006, Bailey et al., 2012, Albanesi and Olivetti, 2015)

Fertility/marital stability

Evidence of economic impact

POSITIVE EFFECT

  • Reduction in maternal mortality increased fertility and women’s human capital in 25 advanced and emerging economies between 1900 and 2000 (Albanesi, 2012)
  • Reduction in maternal mortality increased fertility in US states (Albanesi, and Olivetti, 2014)
  • Access to oral contraception has a positive effect on marital stability (Zuppan, 2012)

[1] The Tobin Q ratio is calculated as the market value of a company divided by the value of the firm’s assets.