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Calvo (staggered) contracts : ウィキペディア英語版 | Calvo (staggered) contracts A Calvo contract is the name given in macroeconomics to the pricing model that when a firm sets a nominal price there is a constant probability that a firm might be able to reset its price which is independent of the time since the price was last reset. The model was first put forward by Guillermo Calvo in his 1983 article "Staggered Prices in a Utility-Maximizing Framework".〔Calvo, Guillermo A. (1983). "Staggered Prices in a Utility-Maximizing Framework". Journal of Monetary Economics 12 (3): 383–398. doi:10.1016/0304-3932(83)90060-0〕 The original article was written in a continuous time mathematical framework, but nowadays is mostly used in its discrete time version. The Calvo model is the most common way to model nominal rigidity in new Keynesian DSGE macroeconomic models. ==The Calvo model of pricing==
We can define the probability that the firm can reset its price in any one period as h (the hazard rate), or equivalently the probability (1-h) that the price will remain unchanged in that period (the survival rate). The probability h is sometimes called the "Calvo probability" in this context. In the Calvo model the crucial feature is that the price-setter does not know how long the nominal price will remain in place. The probability of the current price lasting for exactly i periods more is: The probability of surviving i subsequent periods thus follows a geometric distribution, with the expected duration of the nominal price from when it is first set is . For example, if the Calvo probability ''h'' is 0.25 per period, the expected duration is 4 periods. Since the Calvo probability is constant and does not depend on how long it has been since the price was set, the probability that it will survive i ''more'' periods is given by exactly the same geometric distribution for all . Thus if ''h'' = 0.25, then however old the price is, it is expected to last another 4 periods.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Calvo (staggered) contracts」の詳細全文を読む
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