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Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Aquaro, Michele; Bailey, Natalia; Pesaran, M. Hashem - 2015
This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011288787
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Transformed maximum likelihood estimation of short dynamic panel data models with interactive effects
Hayakawa, Kazuhiko; Pesaran, M. Hashem; Smith, L. Vanessa - 2014
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive fixed effects, and provides an extension of Hsiao et al. (2002) that allows for a multifactor error structure. This is an important extension since it retains the advantages of...
Persistent link: https://www.econbiz.de/10010358963
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Reexamining the estimation of simultaneous equations systems
Kimura, Yoshio - 1999
This paper generalises a classical theorem on the minimisation of the ratio of two quadratic forms so as to permit the denominator to be nonnegative definite, provides a modified formula for the minimum variance ratio estimation including the limited information maximum likelihood, and...
Persistent link: https://www.econbiz.de/10009781682
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Estimation and inference for spatial models with heterogeneous coefficients : an application to U.S. house prices
Aquaro, Michele; Bailey, Natalia; Pesaran, M. Hashem - 2019
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011983664
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Identification and estimation of heterogeneous agent models : a likelihood approach
Parra-Alvarez, Juan Carlos; Posch, Olaf; Wang, Mu-Chun - 2017
In this paper, we study the statistical properties of heterogeneous agent models with incomplete markets. Using a Bewley-Hugget-Aiyagari model we compute the equilibrium density function of wealth and show how it can be used for likelihood inference. We investigate the identifiability of the...
Persistent link: https://www.econbiz.de/10011745280
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Estimating the trade and welfare effects of brexit : a panel data structural gravity model
Oberhofer, Harald; Pfaffermayr, Michael - 2017
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit. The suggested Constrained Poisson Pseudo Maximum Likelihood Estimator exhibits some useful properties for trade policy analysis and allows to obtain estimates and confidence...
Persistent link: https://www.econbiz.de/10011781959
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A generalized poisson-pseudo maximum likelihood estimator
Kwon, Ohyun; Yoon, Jangsu; Yotov, Yoto - 2022
We propose a Generalized Poisson-Pseudo Maximum Likelihood (G-PPML) estimator that relaxes the PPML estimator's assumption that the dependent variable's conditional variance is proportional to its conditional mean. Instead, we employ an iterated Generalized Method of Moments (iGMM) to estimate...
Persistent link: https://www.econbiz.de/10013472407
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Spillovers between food and energy prices and structural breaks
Al-Maadid, Alanoud; Caporale, Guglielmo Maria; … - 2015
framework is suitable to analyse both mean and volatility spillovers, and also allows for possible parameter shifts resulting … food crisis and 2008 financial crisis leading to the most significant shifts in the (volatility) spillovers between the …
Persistent link: https://www.econbiz.de/10010498617
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Energy markets and global economic conditions
Baumeister, Christiane; Korobilis, Dimitris; Lee, Thomas - 2020
This paper evaluates alternative indicators of global economic activity and other market fundamentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. We find that world industrial production is one of the most useful indicators that has been...
Persistent link: https://www.econbiz.de/10012213172
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Liquidity risk, credit risk and the overnight interest rate spread : a stochastic volatility modelling approach
Beirne, John; Caporale, Guglielmo Maria; Spagnolo, Nicola - 2010
In this paper we model the volatility of the spread between the overnight interest rate and the central bank policy … 2007. During the crisis, the policy spread exhibited signs of volatility, owing to the breakdown in interbank market … activity. The determinants of this volatility are assessed using Stochastic Volatility models to gauge the role played by …
Persistent link: https://www.econbiz.de/10003983199