1984
DOI: 10.2307/1240807
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Confidence Intervals for Elasticities and Flexibilities from Linear Equations

Abstract: Information regarding the precision of elasticity and flexibility estimates from equations linear in original variables is typically missing from empirical studies. A result due to Fieller which allows construction of exact confidence intervals for elasticities and flexibilities from such equations is demonstrated. Exact confidence intervals are not necessarily narrowest at mean levels nor are they symmetric about the point estimates of the elasticities and flexibilities. Empirical examples indicate that exact… Show more

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Cited by 30 publications
(10 citation statements)
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“…This is done for two reasons. First, a number of researchers have warned against the use of asymptotic standard errors when evaluating the significance of estimated elasticities (Dorfman, Kling, & Sexton, 1990;Green, Hahn, & Rocke, 1987;Miller, Capps, & Wells, 1984). Krinsky and Robb (1991) show that the Monte Carlo approach works well.…”
Section: Competitive Behavior Of National Brandsmentioning
confidence: 99%
“…This is done for two reasons. First, a number of researchers have warned against the use of asymptotic standard errors when evaluating the significance of estimated elasticities (Dorfman, Kling, & Sexton, 1990;Green, Hahn, & Rocke, 1987;Miller, Capps, & Wells, 1984). Krinsky and Robb (1991) show that the Monte Carlo approach works well.…”
Section: Competitive Behavior Of National Brandsmentioning
confidence: 99%
“…The Marshallian elasticities for labor consist of a ratio of stochastic variables, while those for output and wood comprise a product and a ratio. Thus, elasticity variances were calculated using the first order Taylor series approach described in Miller et al (1984). Since Table 3 presents point estimates, variances and covariances of price and quantity terms we computed from trend-adjusted series.…”
Section: Resultsmentioning
confidence: 99%
“…Fuller and Martin (1961) first propose the Fieller for the construction of intervals for the case of the dynamic elasticity and Fuller (1962) subsequently uses the Fieller to derive the confidence intervals of isoclines based on an estimated production function. Miller et al (1984) were the first to demonstrate how the Fieller could be widely employed for elasticities. This result was affirmed by Dorfman et al (1990) with the addition of resampling methods in the comparison of techniques although the applications they considered resulted in less dramatic differences which may be due to some factors we discuss in Sections 2.3 and 2.4.…”
Section: Elasticity Estimates and The Fieller Intervalmentioning
confidence: 99%