A quadratic quasi Cobb-Douglas extension of the multi-input CES formulation

Mountain, Dean C.

doi:10.1016/0014-2921(89)90042-1

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…The derivation presented highlights technological change in the n-factor functional form and expands upon the work of Mountain (1989), Pollack et al (1984) and Chan and Mountain (1983).…”

Section: Introductionmentioning

confidence: 98%

The CES‐‐Translog Production Function, Returns to Scale and AES

Kymn

Hisnanick

2001

Bulletin of Econ Res

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The translog functional form imposes no a priori restrictions on the substitution possibilities between the factor inputs, by relaxing the assumption of strong separability, and the CES± translog cost function specification allows for testing homothetic technology with Hicks-neutral technical change. In this paper an n-factor CES ± translog production function is presented which develops the parameters to directly assess scale effects from those due to technology in the production structure. In addition, by applying Shephard's lemma it was possible to derive the input demand functions, as well as the partial elasticities of substitution and the cross-partial price elasticities of demand for a generalized CES± translog production structure.

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“…The derivation presented highlights technological change in the n-factor functional form and expands upon the work of Mountain (1989), Pollack et al (1984) and Chan and Mountain (1983).…”

Section: Introductionmentioning

confidence: 98%

The CES‐‐Translog Production Function, Returns to Scale and AES

Kymn

Hisnanick

2001

Bulletin of Econ Res

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Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi

Banda¹,

Hassan²

2011

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Technological Innovation and a Changing Energy Mix - A Parametric and Flexible Approach to Modeling Ontario Manufacturing

Mountain¹,

Stipdonk²,

Warren³

1989

The Energy Journal

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For the purposes of explaining historical trends in relative fuel usage and energy efficiency, an encompassing framework must incorporate both the influence of changing fuel prices and technological change. Schurr (1982), Rosenberg (1983), Jorgenson (1984, 1986) and Berndt (1986) have provided recent documentation of the importance of these two factors in explaining productivity growth. Moreover, these studies indicate that a key to understanding such trends is analysis at the individual industrial sector level. In ignoring the influence of technological change on interfuel substitution, modern studies (e.g., Gopalakrishnan, 1987; Moghimzadeh and Kymm, 1986) have left unaltered the approach taken in the pioneering studies of Berndt and Wood (1975), Fuss (1977), Griffin and Gregory (1976) and Halvorsen (1977).

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A quadratic quasi Cobb-Douglas extension of the multi-input CES formulation

Cited by 3 publications

References 23 publications

The CES‐‐Translog Production Function, Returns to Scale and AES

The CES‐‐Translog Production Function, Returns to Scale and AES

Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi

Technological Innovation and a Changing Energy Mix - A Parametric and Flexible Approach to Modeling Ontario Manufacturing

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