This article studies the immigrants’ attitude towards immigration with special emphasis on the transition from the first to the second generations. We use European Social Survey data for the 2002-2020 period, which include many questions on the attitude to immigration, in order to estimate the...

We carry out a non parametric analysis of financial durations. We make use of an existing algorithm to describe non parametrically the dynamics of the process in terms of its lagged realizations and of a latent variable, its conditional mean. The devices needed to effectively apply the algorithm...

In this paper I introduce a latent variable augmented version of the conditional autoregressive range (CARR) model. The new model, called stochastic conditional- range (SCR) can be estimated by Kalman filter or by efficient importance sampling depending on the hypotheses on the distributional...

In this paper we introduce a parameter driven model for the dynamics of range, the stochastic conditional range (SCR). We propose to estimate its parameters by Kalman filter, importance sampling and simulated maximum likelihood depending on the hypotheses on the distributional form of the...

We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional correlation (mDCC) model to separate long-run from short-run components. We allow for smooth changes in the unconditional...

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This exciting volume presents cutting-edge developments in high frequency financial econometrics, spanning a diverse range of topics: market microstructure, tick-by-tick data, bond and foreign exchange markets and large dimensional volatility modelling. The chapters on market microstructure deal...