Monte-Carlo Evidence On Adaptive Maximum LIkelihood Estimation Of A Regression

David A. Hsieh and Charles Manski

No 292597, SSRI Workshop Series from University of Wisconsin-Madison, Social Systems Research Institute

Abstract: This paper reports preliminary monte carla evidence on the fixed sample size properties of adaptive maximum likelihood(AML} estimates of a simple linear regression. The focus is on the problem of selecting the smoothing and trimming parameters used in estimating the score function. We examine the performance of AML estimators when these parameters are pre-selected or, alternatively, are determined by a databased bootstrap method.

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Pages: 18
Date: 1984-10
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uwssri:292597

DOI: 10.22004/ag.econ.292597

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