Infra-monthly economic time series have become increasingly popular in official statistics in recent years. This evolution has been largely fostered by official statistics’ digital transformation during the last decade. The COVID-19 pandemic outbreak in 2020 has added fuel to the fire as many...

Bayesian dynamic linear models (DLM) are useful in time series modelling because of the flexibility that they present in obtaining a good forecast. They are based on a decomposition of the relevant factors which explain the behavior of the series through a series of state parameters....

Nonresponse in surveys may result in a distortion of the distribution of interest. In a panel survey the participation behavior in later waves is different from the participation behavior at the start. With register data that cover also the information for non-respondents one can observe a fade...

This paper proposes a test for missing at random (MAR). The MAR assumption is shown to be testable given instrumental variables which are independent of response given potential outcomes. A nonparametric testing procedure based on integrated squared distance is proposed. The statistic's...

In this paper we study the macroeconomic effects of large exchange rate appreciations. Using a sample of 128 countries from 1960-2008, we identify large nominal and real appreciations shocks and study their macroeconomic effects in a dummy-augmented panel autoregressive model. Our results show...

Acknowledging the fact that the growth experience of countries is seldom well described by the average growth rate, this paper aims at identifying countries that are similar in terms of their growth process, thus emphasizing the dynamics of growth rates. To that end, the growth experience of...