A Matched Employer-Employee Panel Data Set for Austria: 2002-2005

Freund, Inga; Mahlberg, Bernhard; Prskawetz, Alexia

doi:10.2139/ssrn.2176654

Cited by 1 publication

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“…Including them may cause a small bias. 12 Further details about the dataset and more descriptive statistics can be found in Freund et al (2011). 13 Labour productivity as well as wage per employee are computed taking the number of employees from Structural Business Statistics.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

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Ageing, Productivity and Wages in Austria

et al. 2011

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► We study the relation between the age of employees and productivity as well as wages. ► Firm productivity is not negatively related to the share of older employees. ► We find a negative relationship between the young employees and labour productivity. ► We cannot find any hints for an overpayment of older employees. a b s t r a c t a r t i c l e i n f o Keywords:Age-productivity/-wage profile Employer-employee data Sector affiliation Current demographic developments in industrialized countries and their consequences for workforce ageing challenge the sustainability of intergenerational transfers and economic growth. A shrinking share of the young workforce will have to support a growing share of elderly, non-working people. Therefore, the productivity of the workforce is central to a sustainable economic future. Using a new matched employer-employee panel dataset for Austrian firms for the period 2002-2005, we study the relationship between the age structure of employees, labour productivity and wages. These data allow us to account, simultaneously, for both socio-demographic characteristics of employees and firm heterogeneity, in order to explain labour productivity and earnings. Our results indicate that firm productivity is not negatively related to the share of older employees it employs. We also find no evidence for overpayment of older employees. Our results do not show any association between wages and the share of older employees. Furthermore, we find a negative relationship between the share of young employees and labour productivity as well as wages, which is more prevalent in the industry and construction sector.

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Section: Descriptive Statisticsmentioning

confidence: 99%

“…18 Since data on educational attainment of employees are not available, potential work experience (= age minus years of education minus six) cannot be computed. 19 For details about the construction of the tenure variable see Freund et al (2011). 20 Due to reasons mentioned above we have excluded all firms of NACE division 745…”

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confidence: 99%