wexpect {causalweight} | R Documentation |
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)