松软 发表于 2025-3-25 06:34:32

Vergleich von Wirtschafts- und Energiedaten particularly appealing features of the Bayesian approach are its relative simplicity in estimation, and its ability to derive, individual-specific willingness to pay (.) measures that are less problematic than the classical approaches in terms of extreme values and unexpected signs. This paper chal

yohimbine 发表于 2025-3-25 11:11:32

,Kritische Würdigung und Ausblick,ricity service. The data pose multiple econometric challenges including: correlated responses for a given household, heteroskedastic errors, and a willingness to pay distribution with large mass near zero. We address these issues by combining a gamma distribution for outage costs with a lognormally

ALB 发表于 2025-3-25 11:50:51

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手榴弹 发表于 2025-3-25 19:04:53

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富饶 发表于 2025-3-25 22:27:54

https://doi.org/10.1007/978-3-8350-5569-8ecently common in environmental and resource economics such as in many other economic disciplines (e.g. transportation economics). Based on a firm level data set of the German manufacturing sector, this paper examines determinants of environmental innovations by comparing the estimation results in f

JECT 发表于 2025-3-26 02:26:40

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Adjourn 发表于 2025-3-26 05:33:03

Energieorientierte Produktionsplanungased estimation and welfare calculation strategies have been developed that enable the Kuhn-Tucker framework to address policy-relevant valuation questions in applications with many quality-differentiated goods. We review these modeling innovations in the context of three generic Kuhn-Tucker specifi

Peak-Bone-Mass 发表于 2025-3-26 11:48:58

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可用 发表于 2025-3-26 12:53:03

https://doi.org/10.1007/978-3-8350-5569-8yesian models incorporate prior information often available in the form of past studies or pre-tests in Stated Preference (SP) based valuation studies; model computations are easily and efficiently performed within an intuitively constructed Markov chain Monte Carlo framework; and asymptotic approxi

RENAL 发表于 2025-3-26 19:25:32

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查看完整版本: Titlebook: Applications of Simulation Methods in Environmental and Resource Economics; Riccardo Scarpa (Professor),Anna Alberini (Associa Book 2005 S