TY - UNPB
T1 - Lifetimes of Machinery and Equipment. Evidence from Dutch Manufacturing
AU - Erumban, Abdul Azeez
N1 - Relation: http://www.ggdc.net/
date_submitted:2005
Rights: University of Groningen. GGDC, Groningen Growth and Development Centre
PY - 2006
Y1 - 2006
N2 - This paper estimates service lifetimes for capital assets in Dutch manufacturing industries, using information on asset retirement patterns. A Weibull distribution function is estimated using a nonlinear regression technique to derive service lifetimes for three selected asset types: transport equipment, machinery and computers. For this purpose the benchmark capital stock surveys for different two digit industries are linked to annual discard surveys. On average the estimated lifetimes are respectively 6, 9 and 26 years for transport equipments, computers and machinery. However, these estimates vary across industries. A comparison of our estimates with Canadian, US and Japanese estimates shows notable differences in the lifetimes of all the asset types, with machinery showing the largest difference.
AB - This paper estimates service lifetimes for capital assets in Dutch manufacturing industries, using information on asset retirement patterns. A Weibull distribution function is estimated using a nonlinear regression technique to derive service lifetimes for three selected asset types: transport equipment, machinery and computers. For this purpose the benchmark capital stock surveys for different two digit industries are linked to annual discard surveys. On average the estimated lifetimes are respectively 6, 9 and 26 years for transport equipments, computers and machinery. However, these estimates vary across industries. A comparison of our estimates with Canadian, US and Japanese estimates shows notable differences in the lifetimes of all the asset types, with machinery showing the largest difference.
M3 - Working paper
BT - Lifetimes of Machinery and Equipment. Evidence from Dutch Manufacturing
PB - s.n.
ER -