wexpect: Wage expectations of students in Switzerland

In causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting

Wage expectations of students in Switzerland

Description

A dataset containing information on wage expectations of 804 students at the University of Fribourg and the University of Applied Sciences in Bern in the year 2017.

Usage

wexpect

Format

A data frame with 804 rows and 39 variables:

wexpect1

wage expectations after finishing studies: 0=less than 3500 CHF gross per month; 1=3500-4000 CHF; 2=4000-4500 CHF;...; 15=10500-11000 CHF; 16=more than 11000 CHF

wexpect2

wage expectations 3 years after studying: 0=less than 3500 CHF gross per month; 1=3500-4000 CHF; 2=4000-4500 CHF;...; 15=10500-11000 CHF; 16=more than 11000 CHF

wexpect1othersex

expected wage of other sex after finishing studies in percent of own expected wage

wexpect2othersex

expected wage of other sex 3 years after studying in percent of own expected wage

male

1=male; 0=female

business

1=BA in business

econ

1=BA in economics

communi

1=BA in communication

businform

1=BA in business informatics

plansfull

1=plans working fulltime after studies

planseduc

1=plans obtaining further education (e.g. MA) after studies

sectorcons

1=planned sector: construction

sectortradesales

1=planned sector: trade and sales

sectortransware

1=planned sector: transport and warehousing

sectorhosprest

1=planned sector: hospitality and restaurant

sectorinfocom

1=planned sector: information and communication

sectorfininsur

1=planned sector: finance and insurance

sectorconsult

1=planned sector: consulting

sectoreduscience

1=planned sector: education and science

sectorhealthsocial

1=planned sector: health and social services

typegenstratman

1=planned job type: general or strategic management

typemarketing

1=planned job type: marketing

typecontrol

1=planned job type: controlling

typefinance

1=planned job type: finance

typesales

1=planned job type: sales

typetechengin

1=planned job type: technical/engineering

typehumanres

1=planned job type: human resources

posmanager

1=planned position: manager

age

age in years

swiss

1=Swiss nationality

hassiblings

1=has one or more siblings

motherhighedu

1=mother has higher education

fatherhighedu

1=father has higher education

motherworkedfull

1=mother worked fulltime at respondent's age 4-6

motherworkedpart

1=mother worked parttime at respondent's age 4-6

matwellbeing

self-assessed material wellbeing compared to average Swiss: 1=much worse; 2=worse; 3=as average Swiss; 4=better; 5=much better

homeowner

1=home ownership

treatmentinformation

1=if information on median wages in Switzerland was provided (randomized treatment)

treatmentorder

1=if order of questions on professional plans and personal information in survey has been reversed (randomized treatment), meaning that personal questions are asked first and professional ones later

References

Fernandes, A., Huber, M., and Vaccaro, G. (2020): "Gender Differences in Wage Expectations", arXiv preprint arXiv:2003.11496.

Examples

data(wexpect)
attach(wexpect)
# effect of randomized wage information (treatment) on wage expectations 3 years after
# studying (outcome)
treatweight(y=wexpect2,d=treatmentinformation,x=cbind(male,business,econ,communi,
businform,age,swiss,motherhighedu,fatherhighedu),boot=199)
# direct effect of gender (treatment) and indirect effect through choice of field of
# studies (mediator) on wage expectations (outcome)
medweight(y=wexpect2,d=male,m=cbind(business,econ,communi,businform),
x=cbind(treatmentinformation,age,swiss,motherhighedu,fatherhighedu),boot=199)

causalweight documentation built on Sept. 11, 2024, 8:06 p.m.