Estimating Distributed Lag Models from Cross Section Data
The Case of Hospital Admissions and Discharges
University of Washington, Seattle, WA
and National Bureau of Economic Research
G. William Schwert
University of Rochester, Rochester, NY 14627
and National Bureau of Economic Research
Journal of the American Statistical Association, 69 (September 1974) 627-633
It is natural to think of estimating distributed lag models from time series
data since it is time series contexts that such models arise. This article
studies the estimation of rational distributed lags in the context of
hospital admissions and discharges where a relevant body of cross-section data
exists in the form of lengths-of-stay and appears to be more appropriate for
this purpose than do the available time series data. The cross-section
approach presumably has applications in many situations in which
length-of-stay in the system or its counterpart can be observed.
Key words: Hospital, Length-of-stay, Distributed lag, Maximum likelihood
JEL Classifications: C22
Cited 3 times in the SSCI through April 1996
© Copyright 1974, American Statistical Association
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