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Nina Smith
Professor
,
Institut for Økonomi
https://orcid.org/0000-0002-3728-3839
Fastnet
+4587165565, +4561701288
E-mail
nsmith
econ.au
dk
Fuglesangs Allé 4
,
2622, 114
8210
Aarhus V
Danmark
1994 …
2024
Publikationer pr. år
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Fingeraftryk
Netværk
Projekter
(1)
Publikation
(435)
Aktiviteter
(13)
Priser
(8)
Lignende profiler
(6)
Fingeraftryk
Dyk ned i forskningsemnerne, hvor Nina Smith er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
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Alfabetisk
Economics, Econometrics and Finance
Organisation for Economic Co-Operation and Development
100%
Labor Market
100%
Network Economics
80%
Firm Performance
40%
Labor Supply
40%
Gender Diversity
40%
Immigrant
30%
Fixed Effects
30%
Profit
30%
Human Capital
26%
Employment
20%
Risk Attitude
20%
Panel Study
20%
Tax Avoidance
20%
Private Company
20%
Multiple Job Holding
20%
Labour Force
20%
Private Sector
20%
Descriptive Statistics
20%
Women's Earnings
20%
Specific Industry
20%
Efficiency
20%
Business Cycle
20%
Wage Structure
20%
Start-up Company
20%
Entrepreneurial Activity
20%
Birth Order
16%
Panel Data Model
16%
Taxation
14%
Welfare
12%
Instrumental Variables
10%
Metropolitan Area
10%
Welfare State
6%
Allocation
6%
Self-Financing
6%
Social Sciences
Danish
81%
Denmark
60%
Gender Difference
52%
Labor Market
48%
Professional Occupations
45%
Academic Achievement
40%
Educational Achievement
40%
Family Structure
40%
Occupational Career
32%
Social Norms
20%
Gender Stereotyping
20%
School Size
20%
Working Hours
20%
Survey Analysis
20%
Stereotypes
20%
Small Schools
20%
Behavioral Disorder
20%
Child Well-Being
20%
Board of Directors
20%
Discrimination
15%
OECD Countries
10%
Gender Equality
10%
Child Development
10%
Birth Order
10%
Educational Choice
10%
Social Policy
10%
Career Success
10%
Fertility Rate
10%
Female Employment
10%
Family Welfare
10%
Hiring Decision
10%
Supervisory Board
10%
Child Care
10%
Gender Identity
10%
Executive Position
10%
Equal Opportunity
7%
Capital Transfer
6%
Firm Performance
5%
Economic Efficiency
5%
Descriptive Statistics
5%
Gender Stereotype
5%
Spouses
5%
Marital Status
5%
Parental Leave
5%
Private Sector
5%
Labor Force Participation
5%
Number of Children
5%
Career Advancement
5%
Mathematics
5%
Gender Research
5%
