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Efectos económicos y ambientales del plan de descarbonización de Costa Rica : una aplicación de la plataforma IEEM al sector de energía y transporte

Banerjee, Onil; Cicowiez, Martín - 2021

Persistent link: https://www.econbiz.de/10012586761

Qualitative scenario building for post-carbon cities

Breil, Margaretha; Cattaneo, Cristina; Johnson, Katie - 2015

outcomes from the visions and scenarios resulting from these workshops provides insights on the drivers that determine …

Persistent link: https://www.econbiz.de/10011438685

The WITCH 2016 model : documentation and implementation of the shared socioeconomic pathways

Emmerling, Johannes; Drouet, Laurent; Reis, Lara Aleluia; … - 2016

implement the Shared Socioeconomic Pathways (SSPs) set of scenarios and RCP based climate policies to provide a new set of … climate scenarios. In this paper, we describe in detail the mathematical formulation of the WITCH model, the solution method … and calibration, as well as the implementation of the five SSP scenarios. This report therefore provides detailed …

Persistent link: https://www.econbiz.de/10011487772

The potential role of hydrogen towards a low-carbon residential heating in Italy

Tavella, Sergio; Noussan, Michel - 2021

presents an analysis of different scenarios comparing the penetration of buildings' heating technologies for the residential … 2050, by also discussing the main barriers and opportunities that lie ahead. The scenarios are defined starting from …

Persistent link: https://www.econbiz.de/10012519957

Actors, decision-making, and institutions in quantitative system modelling

De Cian, Enrica; Dasgupta, Shouro; Hof, Andries F.; … - 2017

Increasing the realism with respect to the representation of actors, decision-making, and institutions is critical to better understand the transition towards a low-carbon sustainable society since actors, decision-making, and institutions are the defining elements of transition pathways. In...

Persistent link: https://www.econbiz.de/10011715004

Forecasting Inflation from the Term Structure: A Comparison of Alternative Specifications

Li, Fuchun; Pelgrin, Florian; Tkacz, Greg - Institut für Schweizerisches Bankwesen <Zürich> - 2007

Several authors have shown that there exists a signiﬁcant relationship between the term structure of interest rates and future changes in the rate of inﬂation. More recently, this relationship has been strengthened through the introduction of nonlinearities and regime shifts. This paper...

Persistent link: https://www.econbiz.de/10005857756

Forecasting exchange rates with a large Bayesian VAR

Carriero, Andrea (contributor); … - 2008

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate driftless random walk models, especially at short horizons. Multivariate time series models suffer from the same problem. In this paper, we propose to forecast exchange rates with a...

Persistent link: https://www.econbiz.de/10003765975

Forecasting with dynamics models using shrinkage-based estimation

Carriero, Andrea (contributor); … - 2008

The paper provides a proof of consistency of the ridge estimator for regressions where the number of regressors tends to infinity. Such result is obtained without assuming a factor structure. A Monte Carlo study suggests that shrinkage autoregressive models can lead to very substantial...

Persistent link: https://www.econbiz.de/10003785003

Forecasting government bond yields with large Bayesian VARs

Carriero, Andrea; Kapetanios, George; Marcellino, … - 2010

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the information contained in a large panel of yields. In particular, we use a large Bayesian Vector Autoregression (BVAR) with an optimal amount of shrinkage towards univariate AR...

Persistent link: https://www.econbiz.de/10003990415

"Google it!" : forecasting the US unemployment rate with a Google job search index

D'Amuri, Francesco; Marcucci, Juri - 2010

We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best leading indicator to predict the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our preferred leading indicator (GI), the more standard...

Persistent link: https://www.econbiz.de/10008702857