Quadratic functions are often used in regression to infer the existence of an extremum in a relationship although tests of the location of the extremum are rarely performed. We investigate the construction of the following confidence intervals: Delta, Fieller, estimated first derivative, bootstrapping, Bayesian and likelihood ratio. We propose interpretations for the unbounded intervals that may be generated by some of these methods. The coverage of the confidence intervals is assessed by Monte Carlo; the Delta and studentized bootstrap can perform quite poorly. Of all the methods, the first derivative method is easiest to implement.
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Length: 24 pages Date of creation: 2004 Date of revision: Handle: RePEc:mlb:wpaper:906
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Find related papers by JEL classification: C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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