Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics
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- Zhou, W. & O’Neill, E. & Moncaster, A. & Reiner, D. & Guthrie, P., 2019. "Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics," Cambridge Working Papers in Economics 1986, Faculty of Economics, University of Cambridge.
References listed on IDEAS
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- Zhou, W. & Moncaster, A. & Reiner, D. & Guthrie, P., 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Cambridge Working Papers in Economics 1967, Faculty of Economics, University of Cambridge.
- Wei Zhou & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Working Papers EPRG1923, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
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More about this item
Keywords
building stock; lifetime distribution; Bayesian Model Averaging; Markov Chain Monte Carlo; embodied energy; operational energy; China;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ORE-2020-07-20 (Operations Research)
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