TY - JOUR
T1 - Secondary products and the measurement of productivity growth
AU - Raa, Thijs ten
AU - Wolff, Edward N.
N1 - Funding Information:
*We would like to acknowledge financial support from the Division of Information Science and Technology of the National Science Foundation, the C.V. Starr Center for Applied Economics at New York University, the Netherlands Organization for the Advancement of Research (N.W.O. grant B 45-78) and CentER at Tilburg University. The research of the first author has been made possible by a Senior Fellowship of the Royal Netherlands Academy of Arts and Sciences.
PY - 1991/12
Y1 - 1991/12
N2 - The paper considers alternative treatments of secondary products in input-output systems and analyzes their implications for the measurement of productivity growth at both the sectoral and overall level. Two standard models of secondary products are used: (1) the commodity technology model and (2) the industry technology model. It is argued that the first model correctly relates sectoral and overall levels of productivity growth; the second model, though more conventional, aggregates sectoral levels to a biased estimate of overall productivity growth. Estimates of the two measures are provided using U.S. 85-sector input-output data for 1967, 1972, and 1977. The empirical results indicate that the alternative assumptions do not lead to significantly different estimates of commodity-level and industry-level productivity growth over this period for the full economy but do for several sectors. Moreover, changes in secondary production did not contribute significantly to the decline in productivity growth over this period but secondary production was found to have a much lower rate of productivity growth than primary production.
AB - The paper considers alternative treatments of secondary products in input-output systems and analyzes their implications for the measurement of productivity growth at both the sectoral and overall level. Two standard models of secondary products are used: (1) the commodity technology model and (2) the industry technology model. It is argued that the first model correctly relates sectoral and overall levels of productivity growth; the second model, though more conventional, aggregates sectoral levels to a biased estimate of overall productivity growth. Estimates of the two measures are provided using U.S. 85-sector input-output data for 1967, 1972, and 1977. The empirical results indicate that the alternative assumptions do not lead to significantly different estimates of commodity-level and industry-level productivity growth over this period for the full economy but do for several sectors. Moreover, changes in secondary production did not contribute significantly to the decline in productivity growth over this period but secondary production was found to have a much lower rate of productivity growth than primary production.
UR - http://www.scopus.com/inward/record.url?scp=0026306668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026306668&partnerID=8YFLogxK
U2 - 10.1016/0166-0462(91)90022-F
DO - 10.1016/0166-0462(91)90022-F
M3 - Article
AN - SCOPUS:0026306668
SN - 0166-0462
VL - 21
SP - 581
EP - 615
JO - Regional Science and Urban Economics
JF - Regional Science and Urban Economics
IS - 4
ER -