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This paper focuses on the aggregate demand for electricity, natural gas, and light fuel oil in Canada as a whole and six of its provinces — Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia — in the residential, commercial, and industrial sectors. We employ the...
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In this paper, we build on Ryan and Wales (1998), Moschini (1999), and Serletis and Shahmoradi (2007) and impose curvature conditions locally on the quadratic Almost Ideal Demand System (AIDS) model of Banks et al. (1997), an extension of the simple AIDS model of Deaton and Muellbauer (1980)...
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In this paper we investigate the relationship between crude oil and gasoline prices and also examine the effect of oil price uncertainty on gasoline prices. The empirical model is based on a structural vector autoregression that is modifiÂ…ed to accommodate multivariate GARCH-in-Mean errors,...
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The current mainstream approach to monetary policy is based on the New Keynesian model and is expressed in terms of a short-term nominal interest, such as the federal funds rate in the United States. It ignores the role of leverage and also downplays the role of money in basic monetary theory...
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We estimate a bivariate GARCH-in-Mean VAR with a BEKK variance speciÂ…fication, to investigate whether oil price volatility affects real economic activity. We use the same data set of thirty seven, aggregate and disaggregate, industrial production indices used by Herrera et al. (2011) as a...
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We address the estimation of stochastic volatility demand systems. In particular, we relax the homoscedasticity assumption and instead assume that the covariance matrix of the errors of demand systems is time-varying. Since most economic and fiÂ…nancial time series are nonlinear, we achieve...
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This special issue of the Journal of Econometrics honorsWilliam A. BarnettÂ’s exceptional contributions to unifying economic theory with rigorous statistical inference to interpret economic data and inform public policy. It is devoted to papers that advance microeconometrics,...
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