scholarly journals Gender, Competitiveness, and Study Choices in High School: Evidence from Switzerland

2017 ◽  
Vol 107 (5) ◽  
pp. 125-130 ◽  
Author(s):  
Thomas Buser ◽  
Noemi Peter ◽  
Stefan C. Wolter
Keyword(s):  
High School ◽  
Gender Differences ◽  
Labor Market ◽  
Gender Difference ◽  
Labor Market Outcomes ◽  
Educational Choices ◽  
Market Outcomes ◽  
Experimental Measure ◽  
Willingness To Compete ◽  
And Gender

Willingness to compete has been found to predict individual and gender differences in educational choices and labor market outcomes. We provide further evidence for this relationship by linking Swiss students' Baccalaureate school (high school) specialization choices to an experimental measure of willingness to compete. Boys are more likely to specialize in math in Baccalaureate school. In line with previous findings, competitive students are more likely to choose a math specialization. Boys are more likely to opt for competition than girls and this gender difference in competitiveness could partially explain why girls are less likely to choose a math-intensive specialization.

scholarly journals Hours, Occupations, and Gender Differences in Labor Market Outcomes

2017 ◽  
Author(s):  
Andrés Erosa ◽  
Luisa Fuster ◽  
Gueorgui Kambourov ◽  
Richard Rogerson
Keyword(s):  
Gender Differences ◽  
Labor Market ◽  
Labor Market Outcomes ◽  
Market Outcomes ◽  
And Gender

scholarly journals Is there a Causal Effect of High School Math on Labor Market Outcomes?

2009 ◽  
Vol 44 (1) ◽  
pp. 171-198 ◽  
Author(s):  
Juanna Schrøter Joensen ◽  
Helena Skyt Nielsen
Keyword(s):  
High School ◽  
Labor Market ◽  
Causal Effect ◽  
Labor Market Outcomes ◽  
Market Outcomes ◽  
High School Math

What happens to young people who move to another country to find work?

2018 ◽  
pp. 389-418
Author(s):  
Mehtap Akgüç ◽  
Miroslav Beblavý
Keyword(s):  
Labor Market ◽  
Market Integration ◽  
Labor Market Outcomes ◽  
Individual Characteristics ◽  
Market Outcomes ◽  
Social Surveys ◽  
Work Related ◽  
Migrant Youth ◽  
Contract Type ◽  
And Gender

This chapter analyzes the labor market integration of South–North and East–West migrants, together with intra-European and non-European Union migrants, vis-à-vis native peers in main European destinations. The analysis considers individual characteristics and labor market outcomes by migrant origins. Labor market outcomes are estimated, controlling for sociodemographic characteristics and for country-fixed and year effects. Using interaction effects, the chapter estimates whether the work-related outcomes of young migrants differ vis-à-vis native peers. The econometric analysis using pooled European Social Surveys (2002–2015) suggests that individual characteristics explain part of the migrant–native peer differences. Particularly, migrants from Eastern and Southern Europe exhibit important gaps vis-à-vis native peers regarding unemployment, contract type, and overqualification. Overall, migrant youth and women seem to be in vulnerable situations in destination labor markets. In addition to nondiscriminatory treatment, transparent competence screening and smooth skills transferability could alleviate such youth and gender vulnerabilities.

Marriage and Labor Market Outcomes

2020 ◽  
Author(s):  
Terra McKinnish
Keyword(s):  
Labor Market ◽  
Labor Supply ◽  
Labor Market Outcomes ◽  
Marriage Market ◽  
Marital Stability ◽  
Market Outcomes ◽  
Outside Option ◽  
Income Effects ◽  
And Gender ◽  
Premarital Investments

Marriage and labor market outcomes are deeply related, particularly for women. A large literature finds that the labor supply decisions of married women respond to their husbands’ employment status, wages, and job characteristics. There is also evidence that the effects of spouse characteristics on labor market outcomes operate not just through standard neoclassical cross-wage and income effects but also through household bargaining and gender norm effects, in which the relative incomes of husband and wife affect the distribution of marital surplus, marital satisfaction, and marital stability. Marriage market characteristics affect marital status and spouse characteristics, as well as the outside option, and therefore bargaining power, within marriage. Marriage market characteristics can therefore affect premarital investments, which ultimately affect labor market outcomes within marriage and also affect labor supply decisions within marriage conditional on these premarital investments.

A Gender Agenda: A Progress Report on Competitiveness

2017 ◽  
Vol 107 (5) ◽  
pp. 115-119 ◽  
Author(s):  
Muriel Niederle
Keyword(s):  
Gender Differences ◽  
Labor Market ◽  
Labor Market Outcomes ◽  
Progress Report ◽  
Open Area ◽  
Market Outcomes ◽  
Behavioral Trait ◽  
Institutional Differences ◽  
Trait Competitiveness

I review the role of a new behavioral trait, competitiveness, on the gender agenda. I first describe how to measure competitiveness in the laboratory and show that gender differences in competitiveness are robust. I then establish the external economic relevance of the experimental measure of competitiveness: competitiveness correlates with education and labor market outcomes and can help account for gender differences therein. Finally, institutions can differ in the importance they place on competitiveness and hence can affect gender differences in economic outcomes. Exploring these institutional differences and their effects remains an open area of behavioral market design.

scholarly journals Masking Real Unemployment: The Overall and Racial Impact of Survey Non-Response on Measured Labor Market Outcomes

2021 ◽  
pp. 1-22
Author(s):  
Yixia Cai ◽  
Dean Baker
Keyword(s):  
Labor Market ◽  
Labor Force ◽  
Black Men ◽  
Labor Market Outcomes ◽  
Market Outcomes ◽  
Percentage Points ◽  
Market Status ◽  
And Gender ◽  
Ethnicity And Gender

A large and growing percentage of households are missed in the monthly Current Population Survey (CPS). For the survey as a whole, the rate of nonresponse is roughly 13 percent. This is higher for Blacks, with the share for young Black men being about 30 percent. The BLS’s current methodology effectively assumes that, with adjustment for various characteristics, people who are not included in a follow-up survey may not differ systematically from those who are included. The present paper, however, provides evidence that this may not be the case. With the rotation panel structure of the CPS data from 2003 to 2019, we investigate bias from nonresponse in CPS and its association with one’s prior labor market status, paying particular attention to how the relationship differs by race, ethnicity, and gender. Our analysis suggests that people are considerably more likely to be missing in a subsequent observation if they are unemployed or not in the labor force in the prior observation. We also estimate what the real labor market outcomes might have been when adjusting for nonresponse and undercoverage. Findings indicate that the current methodology may underestimate the national unemployment and labor force participation rates by about 0.7 and 1.2 percentage points, respectively. The gap between observed and adjusted unemployment rates tends to grow beginning in 2015. The unemployment rate is more understated for Blacks than for whites, particularly with a gap of about 3.3 percentage points for young Black men (age 16 to 34).

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