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Table 4 Predominant car use

From: Less car, more bicycle? Generation Y as pioneers of changing everyday mobility in Germany

 

Model 1

Model 2

Variable

AME

(SE)

AME

(SE)

Year of survey

    

2002

(Ref)

 

(Ref)

 

2017

 − .0561543***

.0044848

 − .0161332***

.0046927

Gender

    

Male

(Ref)

(Ref)

(Ref)

(Ref)

Female

 − .0767708***

.0043858

 − .0273309***

.0047294

Cohort

    

1937–1952

 − .1914059***

.0046968

 − .0183649**

.0069987

1953–1968

(Ref)

(Ref)

(Ref)

(Ref)

1969–1984

.0198468**

.0057986

 − .0119407*

.006033

1985–1999

 − .1043552***

.0081715

 − .069835***

.0086536

Place of residence

    

Post-industrial metropolis

 − .2811143***

.0064027

-.2671929***

.0064564

Other metropolis

 − .18021***

.0092427

 − .1656257***

.0090995

Large cities/mid-sized towns

 − .0391346***

.0055025

 − .032432***

.0054203

Rural areas

(Ref)

(Ref)

(Ref)

(Ref)

Educational status

    

Lower secondary

–

–

(Ref)

(Ref)

Higher secondary

–

–

-.040999

.0045789

Type of household

    

Single-person

–

–

(Ref)

(Ref)

Couple

–

–

.0681526***

.0058612

Three or more adults

–

–

.0819855***

.0083893

Family (children below age 18)

–

–

.1285871***

.0073075

Employment status

    

Full-time

–

–

.2900956***

.007319

Part-time

–

–

.1774316***

.0081302

Non-employed

–

–

(Ref)

(Ref)

Observations

197.225

180.884

  1. Source: Mobility in Germany: MiD person-time-series dataset (own calculations)
  2. AME = Average Marginal Effects; *p < 0.05, **p < 0.01, ***p < 0.001. Survey weights are applied