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Sunday, November 15, 2020 | History

2 edition of **Confidence regions for calibrated parameters in computable general equilibrium models** found in the catalog.

Confidence regions for calibrated parameters in computable general equilibrium models

Touhami Abdelkhalek

- 362 Want to read
- 34 Currently reading

Published
**1999** by University of Bristol, Department of Economics in Bristol .

Written in English

**Edition Notes**

Statement | Touhami Abdelkhalek and Jean-Marie Dufour. |

Series | Discussion paper / University of Bristol, Department of Economics -- no.99/466, Discussion paper (University of Bristol, Department of Economics) -- no.99/466. |

Contributions | Dufour, Jean-Marie. |

ID Numbers | |
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Open Library | OL18111774M |

A collaborative augmented reality based modeling environment for construction engineering and management education The method of non-overlapping batch means is the standard for constructing a confidence interval for the mean of a steady-state simulation output. The state in which a discrete event simulation is started causes the Cited by: A criterion for selecting among nested econometric models. The AIC is a number associated with each model: AIC=ln (s m 2) + 2m/T where m is the number of parameters in the model, and s m 2 is (in an AR(m) example) the estimated residual variance: s m 2 = (sum of squared residuals for model m)/T. That is, the average squared residual for model m. Douglas N. Arnold, Shawn W. Walker. Comments: 26 pages, 4 figures, 4 tables. Subjects: Numerical Analysis () We study the finite element approximation of the Kirchhoff plate equation on domains with curved boundaries using the Hellan-Herrmann-Johnson (HHJ) method. We prove optimal convergence on domains with piecewise C^ {k+1} boundary. This very simple, unifying formula allows us to evaluate and clarify the role of three key factors: the asymmetry of the profit function, the convexity of the demand function, and the discount rate. These partial equilibrium effects remain important components of any general equilibrium model with (s,S) pricing.

Bayesian Optimisation (BO), a method which models this function as a sample from a Gaussian Process, is used quite successfully in a plethora of applications. In Machine Learning, BO is fast becoming the method of choice to tune hyper parameters for expensive Machine Learning algorithms (e.g. Neural Networks).

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Downloadable. We consider the problem of assessing the uncertainty of calibrated parameters in computable general equilibrium (CGE) models through the construction of confidence sets (or intervals) for these parameters.

We study two different setups under which this can be done. The first one extends earlier work from Abdelkhalek and Dufour () and is based on a. "Confidence Regions for Calibrated Parameters in Computable General Equilibrium Models," Annals of Economics and Statistics, GENES, is pages Jean-Marie Dufour & Abdelkhalek Touhami, Statistical Inference For Computable General Equilibrium Models, With Application To A Model Of The Moroccan Economy Article (PDF Available) in.

Computable general equilibrium (CGE) models are widely used by governmental organizations and academic institutions to analyze the economy-wide effects of Author: Mary Burfisher. Abdelkhalek, T., Dufour, J.M.: Confidence Regions for Calibrated Parameters in Computable General Equilibrium Models.

Annales D’economie et Cited by: 2. Confidence Regions for Calibrated Parameters in Computable General Equilibrium Models, Annales d’Économie et de Statistique, No 81, () (with J.-M.

Dufour). Tests d’Efficacité du Financement des Micro et Petites Entreprises dans la Lutte Contre la. Full text of "Textbook Of Computable General Equilibrium Modelling, Programming And Simulations" See other formats. The New Generation of Computable General Equilibrium Models Federico Perali, Pasquale Lucio Scandizzo This book covers some important topics in the construction of computable general equilibrium (CGE) models and examines use of these models for the analysis of economic policies, their properties, and their implications.

Dale W. Jorgenson, Peter J. Wilcoxen, in Handbook of Computable General Equilibrium Modeling, Conclusions. Econometric general equilibrium modeling is a very important addition to economic methodologies for evaluating energy and environmental policies. The traditional approach originated by Johansen is based on calibration of the models of.

Abdelkhalek, T. and Jean-Marie Dufour, “Confidence regions for calibrated parameters Confidence regions for calibrated parameters in computable general equilibrium models book computable general equilibrium models”, Annales d’économie et de statistique, 81 (), [Leading article].

Introduction. This chapter describes the MONASH style of CGE modeling, which started with the ORANI model of Australia (Dixon et al.,Dixon et al., ).MONASH models are directly descended from the seminal work of Leif Johansen ().The influence of Johansen combined with the institutional arrangements under which MONASH models have been Cited by: The collection of data pertaining to the effect of introducing biofuels on fuel prices encompasses changes in fuel prices, fuel demand and supply elasticity, whether the study is peer reviewed, the year used to calibrate the model, whether a general equilibrium framework is employed, and whether the analysis focuses on the U.S.

or also includes Cited by: 3. The computable general equilibrium (CGE) model employs real data reflecting economic activities to explore the reaction of economic systems changes in policy and technology. The model contains necessary mathematical representations of an economy covering economic and behavioral operations of manufactures, suppliers, consumers, federal and local Author: Keyao Chen, Guizhi Wang, Lingyan Wu, Jibo Chen, Shuai Yuan, Qi Liu, Xiaodong Liu.

ORANI-G: A Generic Single-Country Computable General Equilibrium Model. Mark Horridge. Centre of Policy Studies and Impact Project, Monash University, Australia. Abstract:The ORANI applied general equilibrium (AGE) model of the Australian economy has been widely used by academics and by economists in the government and private sectors.

by Judith Curry The calculation of atmospheric radiative fluxes is central to any argument related to the atmospheric greenhouse/Tyndall gas effect. Atmospheric radiative transfer models rank among the most robust components of climate model, in terms of having a rigorous theoretical foundation and extensive experimental validation both in the laboratory.

The required decarbonization of the energy system is a complex task, with ambitious targets under the Paris Agreement, and related policy analysis should consider possible impacts on the economy and society. By coupling the energy system model TIMES PanEU with the impact assessment model EcoSense and the computable general equilibrium model NEWAGE, we Author: Pinar Korkmaz, Roland Cunha Montenegro, Dorothea Schmid, Markus Blesl, Ulrich Fahl.

“Computable general equilibrium” (CGE) models also have similar components of energy demand and supply sectors and their market interactions, but these components are embedded in a full representation of a complete economy, which among other features includes direct or indirect interactions between the energy sector and all other parts of.

Within the class of the latter emerge the Computable General Equilibrium Models (CGEMs) and the earlier version of Real Business cycles (RBC). The theory of CGEM found its origin in general equilibrium theory developed by Walras and Edgeworth, extended and further developed by Arrow and Debreu (), Debreu (), Scarf (,) and Arrow.

Another way in which macro-economic costs of climate change have been estimated is via structural economic models such as computable general equilibrium (CGE) models. Such models are IAMs in their own right, and include detailed structural relationships between environment and the. Computable General Equilibrium (CGE) Model This type of model simulates second-round behavioral effects of proposed policy changes (see behavioral response), specifically, the effects of a policy change on prices and quantities in the various markets of an economy, taking into account feedback effects between supply and demand.

For example, an. A general equilibrium gravity analysis with the Poisson Pseudo Maximum Likelihood (GEPPML) C. Applications 1. Trade without borders 2. Impact of regional trade agreements D.

Exercises 1. Calculating the general equilibrium impacts of removing a specific border 2. Calculating the general equilibrium impacts of a. This book contains a selection of studies discussed at the first and second Regional Meetings on Computable General Equilibrium, which were held, respectively, in Santiago, Chile on 13 and variety of sources, while other parameters are chosen so that the model is able to reproduce exactly the data of a reference year (calibration).

In principle, the question should dictate the choice of a methodology. For example, computable general equilibrium (CGE) seems to be the most appropriate methodology for an ex ante.

Cross-entropy methods have been used successfully in many types of statistical analyses in both the physical and social sciences and have even been used in IFPRI’s own work, such as balancing the social accounting matrix (SAM) of a computable general equilibrium model (Robinson et al.

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the models are calibrated, (3) the degree to which the models are being extrapolated from methods), the model a uses CGE (Computable General Equilibrium) convention by updating economy-wide stocks at the beginning of each (5-year) period.

A Cobb- As part of our risk assessment of climate systems for national security, we have identified File Size: 4MB. Abstract: This paper continues the exploration of the impacts on an aging population on an economy employing a two region computable general equilibrium model that is linked with an overlapping generations framework.

Two regions are specified, the Chicago metropolitan area and the Rest of the US (ROUS). This banner text can have markup. web; books; video; audio; software; images; Toggle navigation.

“Is the climate computable. Next dumb question.” Well say here is the reason we are told it is computable. If your can model climate you could model the stock market, no one present is trying to model the stock market because they found it was an epic failure years ago and was a waste of money, and that money was private money.

Drawing on a simple computable general equilibrium (CGE) model of East–West migration, we evaluate the costs and benefits of migration in different institutional landscapes, both at the aggregate level and in terms of their effect on income distribution in the sender and in the recipient by: A general equilibrium framework is therefore essential and it must include a disaggregated household sector.

This paper applies the Wayang general equilibrium model of the Indonesian economy to these issues. It concludes that protection of the rice sector increases poverty, but to a much smaller extent than opponents of the tariff have claimed.

CGE: An occasional abbreviation for "computable general equilibrium" models. Contexts: models chained: Describes an index number that is frequently reweighted.

An example is an inflation index made up of prices weighted by frequency with which they are paid, and frequent recomputation of weights makes it a chained inded. Source: Hulten, Prepublication issue for EPA libraries and State Solid Waste Management Agencies' POLLUTION PREDICTION TECHNIQUES FOR WASTE DISPOSAL SITING A State-of-the-Art Assessment This report (SWc) describes work performed for the Office of Solid Waste under contract no.

and is reproduced as received from the contractor. This invaluable book contains lectures presented at the Courant Institute's Mathematical Finance Seminar. The audience consisted of academics from New York University and other universities, as well as practitioners from investment banks, hedge funds and asset-management firms.

Sample Chapter(s) Chapter 1: Introduction (90 KB). These algorithms may serve as nonparametric tests for multiple calibration of applied general equilibrium models or they can be used to compute counterfactual equilibria in applied general equilibrium models defined by the Walrasian equilibrium inequalities.

Applied general equilibrium analysis, Walrasian equilibrium inequalities, Calibration. Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online.

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Lin Liu, Yuqi Qiu, Loki Natarajan, Karen Messer. Source: The Annals of Applied Statistics, Vol Number 3, Abstract: It is common to encounter missing data among the potential predictor variables in the setting of model selection.

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complete stochastic equilibrium displacement model (EDM) that: 1) measures the impact of the mandate on the livestock industries in the presence of a drought-induced crop and pasture shortfall, using the drought as a case study, and 2) provides confidence intervals and P-values to test alternative hypotheses about the impacts.

As an additionalAuthor: Sunil P. Dhoubhadel.1. Introduction. Climate change is inherently a long‐term phenomenon: Under the classical definition of “climate” as the statistics of weather over 30‐year periods (e.g., Arguez & Vose, ), it can only be seen amid more rapid variability from a multidecadalclimate change science—as opposed to the meteorology or physical oceanography of climate Cited by: 5.Equilibrium Propagation (EP) is a biologically inspired learning algorithm for convergent recurrent neural networks, i.e.

RNNs that are fed by a static input x and settle to a steady state. Training convergent RNNs consists in adjusting the weights until the steady state of output neurons coincides with a target y.