2003
DOI: 10.1016/s1062-9408(03)00024-x
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An estimation of US industry-level capital–labor substitution elasticities: support for Cobb–Douglas

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Cited by 53 publications
(28 citation statements)
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“…The quadratic term is generally significant, but the estimates of the elasticity of substitution between labour and capital are far too volatile to be credible. Given that this parameter is a highly non-linear function of the coefficients of the production function, this finding is not too surprising; it is also consistent with Balistreri et al (2003), who report for 28 US industries over the period 1947-1998 point estimates close to 1 but very wide confidence intervals. A possible explanation may be aggregation bias, with factor reallocation within industries causing the same (different) aggregate combinations of inputs producing different (the same) levels of aggregate output, and ultimately uncertainty in the estimation of the relationship between labour productivity and capital inputs.…”
Section: Labour Productivity Trends In Italy 1981-2004supporting
confidence: 87%
“…The quadratic term is generally significant, but the estimates of the elasticity of substitution between labour and capital are far too volatile to be credible. Given that this parameter is a highly non-linear function of the coefficients of the production function, this finding is not too surprising; it is also consistent with Balistreri et al (2003), who report for 28 US industries over the period 1947-1998 point estimates close to 1 but very wide confidence intervals. A possible explanation may be aggregation bias, with factor reallocation within industries causing the same (different) aggregate combinations of inputs producing different (the same) levels of aggregate output, and ultimately uncertainty in the estimation of the relationship between labour productivity and capital inputs.…”
Section: Labour Productivity Trends In Italy 1981-2004supporting
confidence: 87%
“…Without this assumption, some of the observed variation in the data (e.g., output) is associated with factor variation (and therefore σ) rather than technical change. It is likely that differences between our industry-level results reported later and those of Balisteri et al (2003) are due in part to our allowing different augmentation rates, whereas they do not. We make no claim that ours is the "correct" structure of the U.S. economy.…”
Section: The Empirical Model and Its Assumptionscontrasting
confidence: 55%
“…However, their data limit them to manufacturing industries only and their point estimates fall in the wide range from 0.01 to 2.00. Balisteri et al (2003), using data from 1947 to 1999, estimate σ's for 28 industries that span the entire U.S. economy. However, they fail to use a framework that allows for biased technical change.…”
Section: Introductionmentioning
confidence: 99%
“…These elasticities are used to calibrate parameters of the utility function. In addition, elasticities of substitution in the production functions are taken from Balisteri, McDaniel, and Wong (2002) and Horan, Shortle, and Abler (2002), and Hertel, Stiegert, and Vroomen (1996). Values of these parameters are XX = YY = 0.5, BX = 1.25, MX = 0.585, and MY = 0.951.…”
Section: The Numerical Modelmentioning
confidence: 99%