The recent price coupling of many European electricity markets has triggered a fundamental change in the interaction of day-ahead prices, challenging additionally the modeling of the joint behavior of prices in interconnected markets. In this paper we propose a regime-switching AR-GARCH copula...

This paper presents new results on the identification of heteroskedastic structural vector autoregressive (HSVAR) models. Point identification of HSVAR models fails when some shifts in the variances of the structural shocks are suspected to be statistically indistinguishable from each other....

This paper uses Bayesian techniques and Maltese data over the period 2001-2019 to estimate the parameters of MEDSEA-FIN, one of the Central Bank of Malta's DSGE models. The model captures linkages between the housing sector, banks and the rest of the economy via a borrowing collateral...

This paper presents a credit gap for Malta derived from a semi-structural multivariate filter. This modelling approach has several advantages over univariate approaches typically used, for example to construct the Basel gap. The multivariate filtering of observed data into trends and cycles is...

Using the data on maintenance expenditures and self-assessed house value, I separate the measure of individual housing stock and house prices, and use these data for testing whether nondurable consumption and housing are characterized by intratemporal nonseparability in households’...

This study examines the long-run relationship between industrial pollution and income in China using provincial panel data. Four types of pollutants are modelled: waste water, solid wastes, soot and SO2 emission. Two types of income effects are considered: the scale and growth effects. The study...

In this paper we attempt to provide a comprehensive understanding of the drivers of academic research and patenting in India. Academic research is conceptualised as a research production process where research inputs (like research time and number of research scholars) are transformed into...

This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...

Ex-post economic impact evaluations are standard requirements for loans and grants from multilateral international development institutions. In many cases, however, lack of sufficient baseline or historical data, or the very nature of the investment itself renders orthodox economic impact...

This paper decomposes the risk premia of individual stocks into contributions from systematic and idiosyncratic risks. I introduce an affine jump-diffusion model, which accounts for both the factor structure of asset returns and that of the variance of idiosyncratic returns. The estimation is...