2013
DOI: 10.2139/ssrn.2208622
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Managerial Overconfidence and Cost Stickiness

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Cited by 52 publications
(40 citation statements)
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References 26 publications
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“…Such excessive optimism would increase cost stickiness. Empirical evidence indicates that both rational and irrational managerial expectations play a key role in asymmetric cost behaviour (Chen, Gores, & Nasev, 2013). China is known as one of the fastest growing economies among countries in the world and as the second largest economy valued by using Purchasing Power Parity (Allen, Qian, & Qian, 2005).…”
Section: Managerial Expectationsmentioning
confidence: 99%
“…Such excessive optimism would increase cost stickiness. Empirical evidence indicates that both rational and irrational managerial expectations play a key role in asymmetric cost behaviour (Chen, Gores, & Nasev, 2013). China is known as one of the fastest growing economies among countries in the world and as the second largest economy valued by using Purchasing Power Parity (Allen, Qian, & Qian, 2005).…”
Section: Managerial Expectationsmentioning
confidence: 99%
“…Another factors that watched Chen, Gores and Nasev (2013) as the cause of sticky costs was excessive confidence of managers. The authors assumed that too confident manager have a greater overestimation of future demand and therefore managers are the ones who usually do not reduce costs when demand decreases.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unfortunately, no cost reduction in a situation of demand declining resulted in enterprises into emergence of sticky costs. (Chen et al, 2013) Differences in sticky cost between different countries were examined in the study of the authors Calleja, Steliarosa and Thomas (2006). They used the sample of American, English, French and German enterprises to detect differences between various countries.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Since construction of ΔLnINVAS and DEC*ΔLnINVAS variables using partial sum methods introduce non-linearity to the adjustment process, Chen et al [26] and Chen et al [14] call specification (2) as the non-linear regression model.…”
Section:  mentioning
confidence: 99%