2019
DOI: 10.1016/j.econlet.2018.11.024
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A model of capacity choice under Knightian uncertainty

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Cited by 10 publications
(4 citation statements)
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“…where QðtÞ is the total market output, a > 0 denotes the production technology parameter, and γ ð0,1Þ indicates the elasticity of output that ensures diminishing returns on capital. The chosen production function aligns with previous studies such as Bertola and Caballero (1994), Nakamura (2002), Lyandres et al (2020), Niu et al (2019), and Huberts and Silveira (2023).…”
Section: Basic Economic Settingmentioning
confidence: 56%
“…where QðtÞ is the total market output, a > 0 denotes the production technology parameter, and γ ð0,1Þ indicates the elasticity of output that ensures diminishing returns on capital. The chosen production function aligns with previous studies such as Bertola and Caballero (1994), Nakamura (2002), Lyandres et al (2020), Niu et al (2019), and Huberts and Silveira (2023).…”
Section: Basic Economic Settingmentioning
confidence: 56%
“…Proper scaling of the firm's capital value helps to enhance its expansion decision. As articulated by Niu et al (2019), the principles of Knightian uncertainty can be included in the standard model for capacity choice to indicate that it reduces the capital of marginal value. It makes the firm's investment decision more conservative.…”
Section: Literature Review the Role Of Assets-in-place On A Firm's In...mentioning
confidence: 99%
“…However, [15] and [11] investigate the case in which the payoff is received as a perpetual flow and show that higher levels of KU may delay investment because it is not resolved after the investment has been undertaken. [16] incorporate KU into a model of capacity choice and expansion. They too find that the optimal investment threshold under KU is substantially higher, but the payoff in the model is also a flow and, as such, the KU is not resolved upon stopping.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, many facets of investment and management problems are incorporated into their basic framework (see [2] and [9] for relatively recent and comprehensive reviews). As I pointed out, the impact of operational delay is underresearched but the impact of KU has gained traction on both the theoretical and empirical fronts ( [6]; [15]; [20]; [11]; [19]; [16] and [5] are just a limited sample).…”
Section: Introductionmentioning
confidence: 99%