Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64722 
Year of Publication: 
2010
Series/Report no.: 
cemmap working paper No. CWP22/11
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
The goal of this paper is to develop techniques to simplify semiparametric inference. We do this by deriving a number of numerical equivalence results. These illustrate that in many cases, one can obtain estimates of semiparametric variances using standard formulas derived in the already-well-known parametric literature. This means that for computational purposes, an empirical researcher can ignore the semiparametric nature of the problem and do all calculations as if it were a parametric situation. We hope that this simplicity will promote the use of semiparametric procedures.
JEL: 
C14
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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