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Table 2 Variables and definitions. (Source: Own compilation)

From: Does self-employment really raise job satisfaction? Adaptation and anticipation effects on self-employment and general job changesErhöht eine Selbständigkeit wirklich die Arbeitszufriedenheit? Adaptions- und Antizipationseffekte der Selbständigkeit und genereller Arbeitsplatzwechsel

Variable

Definition

Self employment (lags and leads)

Self-employed

Dummy

Self-employed T −4

Dummy; will become self-employed in 4–5 years, employee till then

Self-employed T −3

Dummy; will become self-employed in 3–4 years, employee till then

Self-employed T −2

Dummy; will become self-employed in 2–3 years, employee till then

Self-employed T −1

Dummy; will become self-employed in 1–2 years, employee till then

Self-employed T

Dummy; became self-employed during the last year

Self-employed T + 1

Dummy; became self-employed 1–2 years ago, since then self-employed

Self-employed T + 2

Dummy; became self-employed 2–3 years ago, since then self-employed

Self-employed T + 3

Dummy; became self-employed 3–4 years ago, since then self-employed

Self-employed T + 4+

Dummy; became self-employed more than 4 ago, since then self-employed

Job change (lags and leads)

Job change T −4

Dummy; will change job in 4–5 years, in the same job till then

Job change T −3

Dummy; will change job in 3–4 years, in the same job till then

Job change T −2

Dummy; will change job in 2–3 years, in the same job till then

Job change T −1

Dummy; will change job in 1–2 years, in the same job till then

Job change T

Dummy; changed job during the last year

Job change T + 1

Dummy; changed job 1–2 years ago, since then in same job

Job change T + 2

Dummy; changed job 2–3 years ago, since then in same job

Job change T + 3

Dummy; changed job 3–4 years ago, since then in same job

Job change T + 4

Dummy; changed job 4–5 years ago, since then in same job

Job

Job satisfaction

(Dependent variable) 11-point scale: 0 = totally unhappy, 10 = totally happy

ln(personal income)

ln(monthly net income (earned), €)

Experience full-time

Years of labour market experience as full-time worker

Experience part-time

Years of labour market experience as part-time worker

Experience unemployment

Years of labour market experience as unemployed

Activity is job

Activity is job

Working hours

Working hours per week

Working hours2

Working hours per week2/100

Work less

Would prefer to work X hours less, when taking into account that income would change accordingly(not available for 1996, observations from 1996 are excluded from regression estimations)

Work more

Would prefer to work X hours more, when taking into account that income would change accordingly (not available for 1996, observations from 1996 are excluded from regression estimations)

Part-time

Dummy; part time worker with 5–29 h of work per week

Liberal profession

Dummy

Occupation

25 dummies for occupations based on ISCO88 classification: Military; Legislators and senior officials; Corporate managers; Managers of small enterprises; Physical, mathematical, and engineering science professionals; Life science and health professionals; Teaching professionals; Other professionals; Physical and engineering science associate professionals; Life science and health associate professionals; Teaching associate professionals; Other associate professionals; Customer services clerks; Personal and protective services workers; Models, salespersons, and demonstrators; Skilled agricultural and fishery workers; Extraction and building trades workers; Metal, machinery, and related trades workers; Precision, handicraft, craft printing and related trades workers; Other craft and related trades workers; Stationary plant and related operators; Machine operators and assemblers; Drivers and mobile plant operators; Sales and services elementary occupations; Agricultural, fishery, and related labourers; Labourers in mining, construction, manufacturing, and transport (reference: office clerks)

Industry

17 industry dummies based on NACE classification: farming, forestry, fishing; mining etc.; manufacturing; energy and water supply; construction; trading; hotel and restaurant industry; traffic and transport; insurance; real estate; services for enterprises; public sector; education; health and social; private households; religion, culture and sports; other services (reference: research and databases)

Personal

Age2

= Age in years2/100

Hobbies (h/weekday)

Average hours spent for hobbies on a weekday

Marital status

5 dummies for married and living separated, single, divorced, widowed, and partner abroad (reference: married and living together)

Partnership

Dummy living in a partnership

Household

Household size

5 dummies for 2, 3, 4, 5, and 6 or more person households (reference: single households)

Children

3 dummies for 1, 2, 3 or more children up to the age of 16 in household (reference: no children)

Mortgage

Interest and mortgage payment per month in €/1000

Rent

Monthly rent excluding heating costs in €/1000

Owner

Owner of house or flat

ln(residual income)

ln((household net income—personal income)€/1000)

Region

East Germany

Dummy variable

German federal states

15 dummies for German federal states: Berlin, Schleswig-Holstein; Hamburg; Bremen; North Rhine-Westphalia; Hessen; Rhineland-Palatinate; Saarland; Baden-Wuerttemberg; Bavaria; Mecklenburg-West Pomerania; Brandenburg; Saxony-Anhalt; Thuringia; Saxony (reference: Lower Saxony)

Year

Wave dummies for 1989–2005; (reference: 1988)