Many studies have found that forecast combination improves forecast accuracy. An often-used approach developed by Granger and Ramanathan (GR, 1984) utilises a linear-Gaussian regression model to combine point forecasts. This presentation generalises their approach for an asymmetrically distributed target variable.
In this seminar, Valerie Ramey will present an overview of her paper “Ten years after the financial crisis: What have we learned from the Renaissance in fiscal research?” This paper takes stock of what she has learned from the ‘Renaissance’ in fiscal research in the ten years since the financial crisis.
In this seminar, Hang Hoang presents the results of her investigation on how firms transform innovation knowledge into firm growth.
A decreasing elasticity of substitution between clean and dirty energy and the potential implications for policy
Using a stylised structural model of electricity generation, Tony derives a (bimodal) production function for clean and dirty technologies with two elasticities: a high elasticity for low clean penetration and a low elasticity for high clean penetration.
This event explores the implication of aging on labour force participation, productivity, and growth while examining the role and potential of technology to harness the gain from longevity dividend, in order to draw actionable policy recommendations and priorities.
In this seminar, Xuan-Lam develops a business cycle model of two asymmetric countries in which independent banking sectors are subject to moral hazards due to their ability to divert assets.
Bao Nguyen present his paper on the dynamic relationship between China’s economic growth and international oil market.
In this seminar, Phitawat Poonpolkul will present an overview of his dissertation on ‘Essays on Demographic Changes and Macroeconomic Implications’.
In this seminar, Beili Zhu will provide an overview of her recent paper, Bayesian analysis of a moving average stochastic volatility model with leverage and heavy-tailed distributions using scale mixtures.
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