The Singularity of the Efficiency Bound of the Mixed Proportional Hazard Model
Geert Ridder () and
No 20019, UWO Department of Economics Working Papers from University of Western Ontario, Department of Economics
We reconsider the efficiency bound for the semi-parametric Mixed Proportional Hazard (MPH) model with parametric baseline hazard and regression function. This bound was first derived by Hahn (1994). One of his results is that if the baseline hazard is Weibull, the efficiency bound is singular, even if the model is semi-parametrically identified. This implies that neither the Weibull parameter nor the regression coefficients can be estimated at the root N rate. We show that Hahn's results are confined to a class of models that is closed under the power transformation. The Weibull model is the most prominent model of this class. We also present a new nonparametric identification result. This identification results allows for infinite mean of the mixing distribution and ensures that the efficiency bound is nonsingular. This implies that root N estimation is possible.
Keywords: Duration; Semi-parametric Efficiency Bound; Mixed Proportional Hazard (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations View citations in EconPapers (6) Track citations by RSS feed
Downloads: (external link)
http://economics.uwo.ca/research/department_workin ... /wp2001/wp2001_9.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:uwo:uwowop:20019
Ordering information: This working paper can be ordered from
http://economics.uwo ... itting_ordering.html
The price is Paper copy available by mail at a cost of $10.00 Canadian each.
Access Statistics for this paper
More papers in UWO Department of Economics Working Papers from University of Western Ontario, Department of Economics Department of Economics, Reference Centre, Social Science Centre, University of Western Ontario, London, Ontario, Canada N6A 5C2.
Series data maintained by ().