Provider: Ingenta Connect
Database: Ingenta Connect
Content: application/x-research-info-systems
TY - ABST
AU - Gil-Alana, Luis A.
AU - Mendi, Pedro
TI - Fractional integration in total factor productivity: evidence from US data
JO - Applied Economics
PY - 2005-07-10T00:00:00///
VL - 37
IS - 12
SP - 1369
EP - 1383
N2 - This study examines the stochastic properties of different measures of Total Factor Productivity (TFP) in the USA and their components using fractional integration. The results show that its structure is more complicated than expected, formed by the interaction of various seasonal and non-seasonal unit (or fractional) processes. Thus, output (measured in terms of the GDP or the business sector value added) may be modelled as a unit root; the order of integration of capital is much higher than 1 and it may be specified even as an I (2) process, while labour contains a seasonal unit root. However, in all these cases, fractional degrees of integration may be even better characterizations for these series. As a result, the TFP series appear to be seasonally fractionally integrated, with d constrained between 0.5 and 1. A deeper investigation of the orders of integration at each of the frequencies shows that the order of integration at zero plays a much more important role that the seasonal frequencies, a result that is explained by the different stochastic nature of the components underlying the TFP.
UR - http://www.ingentaconnect.com/content/routledg/raef/2005/00000037/00000012/art00004
M3 - doi:10.1080/00036840500118721
UR - http://dx.doi.org/10.1080/00036840500118721
ER -