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Production Risk, Energy Use Efficiency and Productivity of Korean Industries

Khayyat, Nabaz T. - 2014

Korea imports all of its primary energy, which leads to high dependency and vulnerability related to its energy supply. Efficiency in the use of energy is a way to reduce dependency and emissions. This study provides empirical results of the stochastic production process in energy use. Special...

Persistent link: https://www.econbiz.de/10013055565

Estimating stochastic production frontiers : a one-stage multivariate semiparametric Bayesian concave regression method

Preciado Arreola, José Luis; Johnson, Andrew L.; Chen, … - In: European journal of operational research : EJOR 287 (2020) 2, pp. 699-711

Persistent link: https://www.econbiz.de/10012293942

The impact of climate change and policies on productivity : A report of the ESCB Expert Group on productivity, innovation and technological changes

Anyfantaki, Sofia; Colciago, Andrea; De Mulder, Jan; … - 2024

productivity costs. This shift will have varied implications for businesses, contingent upon their scale, access to financial … without displacing other initiatives, yet stringent climate regulations might impede the productivity ascent of … productivity disparities exist between top and bottom emitters within specific industries. The transition period poses a risk to a …

Persistent link: https://www.econbiz.de/10014479727

Production under input endogeneity and farm-specific risk aversion : evidence from contract farming and Bayesian method

Mishra, Ashok K.; Rezitis, Anthony N.; Tsionas, Efthymios G. - In: European review of agricultural economics 47 (2020) 2, pp. 591-618

Persistent link: https://www.econbiz.de/10012181767

Implications of macroeconomic volatility in the Euro area

Hauzenberger, Niko; Böck, Maximilian; Pfarrhofer, Michael - 2018

In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to assess the effects of an uncertainty shock in the Euro area. This allows us to treat macroeconomic uncertainty as a latent quantity during estimation. Only a limited number of...

Persistent link: https://www.econbiz.de/10011978764

The value of information in water quality monitoring and management

Luhede, Amelie; Yaqine, Houda; Bahmanbijari, Reza; … - 2023

Environmental managers face substantial uncertainty when deciding on management actions. To reduce this uncertainty prior to decision-making, collecting new data may help arrive at more informed decisions. Whether any resulting improvement in the decision will outweigh the cost of collecting the...

Persistent link: https://www.econbiz.de/10014228294

Crash Risk in Currency Returns

Chernov, Mikhail - 2015

We quantify crash risk in currency returns. To accomplish this task, we develop and estimate an empirical model of exchange rate dynamics using daily data for four currencies relative to the US dollar: the Australian dollar, the British pound, the Swiss franc, and the Japanese yen. The model...

Persistent link: https://www.econbiz.de/10013037072

Dealing with Drift Uncertainty : A Bayesian Learning Approach

De Franco, Carmine - 2018

One of the main challenges investors have to face is model uncertainty. Typically, the dynamic of the assets is modeled using two parameters: the drift vector and the covariance matrix, which are both uncertain. Since the variance/covariance parameter is assumed to be estimated with a certain...

Persistent link: https://www.econbiz.de/10012907937

A Bayesian Understanding of Information Uncertainty and the Cost of Capital

Johnstone, David - 2013

higher expected utility portfolios. This is a technical version of the traditional view in accounting theory that financial …

Persistent link: https://www.econbiz.de/10013085394

Advancing Style Analysis and Risk Modeling by Incorporating Model Uncertainty with Bayesian Model Averaging

Zhou, Hao (David) - 2013

Investors have increasing interests in sophisticated yet transparent analytic tools to handle model uncertainty, tail risk and market dynamics. This paper demonstrates how macroeconomic factor models, based on Bayesian model averaging (BMA), can help address the challenges in some specific...

Persistent link: https://www.econbiz.de/10013073771