Dissertation_Paula Aleksandrowicz_12 ... - Jacobs University
Dissertation_Paula Aleksandrowicz_12 ... - Jacobs University Dissertation_Paula Aleksandrowicz_12 ... - Jacobs University
• In your opinion, are there alternatives to early exit and dismissals of older workers which would reconcile both workers´ and corporate interests? Occupational old-age pension provision • Does your firm support savings into an occupational pension plan? What form does that support take (e.g. an own occupational pension plan or contributions to an external second-pillar scheme)? • What models of deferred compensation (Entgeltumwandlung) does your firm support? • How is the occupational old-age pension level calculated in case of early exit? When is the earliest takeup of that pension possible? • Do you perceive any connection between early exit and occupational old-age pension provision supported by your firm? • Are periods of child-care leave counted as years of service and does the firm pay contributions to the occupational pension plan during that time? • Do you cooperate with any consultancy firm on matters of occupational old-age pension provision? END OF THE INTERVIEW / Needed data • May I contact you again in two years in order to track changes in your firm´s personnel policy? • Could you please provide me with the following data: - company and personnel report; - completed short firm questionnaire [see next page]; statistical data on the age structure of your firm and on exit pathways; - results of personnel surveys (if any), any documentation of age management measures; - collective agreements and works council agreements on personnel policy matters touched upon in this interview? 265
Annex B: Short Firm Questionnaire (Example: Interview Guidelines used in Germany at the first interview wave in 2004) Complementary statistical data for firm case studies Name of the firm, main location _______________________________ Branch affiliation ____________________ Number of locations Germany ___________ of which: manufacturing sites ______________ Affiliation to a corporation/name of owner ______________________________ Number of employees (at studied location) 2003 ____________ 1995____________ Share of occupational groups (in %) White-collar workers __________ Blue-collar workers ___________ Changes in number of employees 2003 to 2002_______________________ Share of women (2003) ____________ Share of part-time workers (2003) (without ATZ) ___________ Share of older workers participating in the early retirement scheme (2003) Total ________ Women ________ Men ________ Share of severely disabled persons __________ Average age of workers 2003___________ 1995______________ Age structure of the workforce at the studied location in 2003 (in numbers of persons or in %) Up to 24 years _____________ men _____________ women____________ 25-29 _______________ men ______________ women____________ 30-34 _______________ men ______________ women____________ 35-39 _______________ men ______________ women____________ 40-44 _______________ men ______________ women____________ 45-49 _______________ men ______________ women____________ 50-54 _______________ men ______________ women____________ 55--59 _______________ men ______________ women____________ 60-64 _______________ men ______________ women____________ 65+ _______________ men ______________ women____________ 266
- Page 225 and 226: Figure 14: Firm typology Firm label
- Page 227 and 228: The qualitative support for the hyp
- Page 229 and 230: eacted to pension reforms which sou
- Page 231 and 232: Germany are more successful in prot
- Page 233 and 234: older workers, but I nevertheless u
- Page 235 and 236: 5. Barriers and Opportunities for P
- Page 237 and 238: At firm level, the neo-classical la
- Page 239 and 240: go policies´ (Schömann 2006: 135)
- Page 241 and 242: differences in EU impact are visibl
- Page 243 and 244: prevention does not play a role yet
- Page 245 and 246: from coal heating to gas and oil, r
- Page 247 and 248: innovative ideas of work-life balan
- Page 249 and 250: term orientated, personnel policy r
- Page 251 and 252: Badura, Bernhard; Schellschmidt, He
- Page 253 and 254: Brown, Halina Szejnwald; Angel, Dav
- Page 255 and 256: Dunn, Suzanne, 2005: “Effective S
- Page 257 and 258: Frerichs, Frerich; Bögel, Jan (eds
- Page 259 and 260: Heidenreich, Martin, 1991: "Verallg
- Page 261 and 262: Kistler, E.; Ebert, A.; Guggemos, P
- Page 263 and 264: Marstedt, Gerd et al., 2003: Alt we
- Page 265 and 266: etrieblicher Personalpolitik und st
- Page 267 and 268: Rustemeyer, Ruth, 1992: Praktisch-m
- Page 269 and 270: Stettes, Oliver, 2007: Impact of Co
- Page 271 and 272: Weitbrecht, Hansjörg, 2003: „Hum
- Page 273 and 274: Annex A: Interview Guidelines (Exam
- Page 275: early retirement scheme, freeze on
- Page 279 and 280: Annex C: Constructing Firm Typologi
Annex B: Short Firm Questionnaire<br />
(Example: Interview Guidelines used in Germany at the first interview wave in 2004)<br />
Complementary statistical data for firm case studies<br />
Name of the firm, main location<br />
_______________________________<br />
Branch affiliation<br />
____________________<br />
Number of locations<br />
Germany ___________ of which: manufacturing sites ______________<br />
Affiliation to a corporation/name of owner<br />
______________________________<br />
Number of employees (at studied location)<br />
2003 ____________ 1995____________<br />
Share of occupational groups (in %)<br />
White-collar workers __________ Blue-collar workers ___________<br />
Changes in number of employees<br />
2003 to 2002_______________________<br />
Share of women (2003)<br />
____________<br />
Share of part-time workers (2003) (without ATZ)<br />
___________<br />
Share of older workers participating in the early retirement scheme (2003)<br />
Total ________ Women ________ Men ________<br />
Share of severely disabled persons __________<br />
Average age of workers<br />
2003___________ 1995______________<br />
Age structure of the workforce at the studied location in 2003 (in numbers of persons or in %)<br />
Up to 24 years _____________ men _____________ women____________<br />
25-29 _______________ men ______________ women____________<br />
30-34 _______________ men ______________ women____________<br />
35-39 _______________ men ______________ women____________<br />
40-44 _______________ men ______________ women____________<br />
45-49 _______________ men ______________ women____________<br />
50-54 _______________ men ______________ women____________<br />
55--59 _______________ men ______________ women____________<br />
60-64 _______________ men ______________ women____________<br />
65+ _______________ men ______________ women____________<br />
266
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