This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

The labour force surveys (LFSs) on all Eurostat countries underwent a substantial redesign in January 2021. To ensure coherent labour market time series for the main indicators in the Norwegian LFS, we model the impact of the redesign. We use a state-space model that takes explicit account of...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

This paper examines the post-migration investments in schooling and job search of immigrant families using new longitudinal data for Australia. Higher education levels at time of arrival are associated with a greater probability of enrolling in school after migration. In households where the...

This paper describes how to use the R package gateveys to establish a transparent and reproducible aggregation work flow for longitudinal data stemming from business tendency surveys (BTS). Business tendency survey researchers are addressed in particular though the suggested work flow could also...

In this paper, we review the recent econometric methods related to unit root tests. The central idea is the interaction between structural breaks and unit roots. We consider the standard Dickey-Fuller test and its modifications that allow under the alternative hypothesis one or multiple...

Outliers are observations that deviate significantly from the norm, and their detection has been a critical topic in various research areas and application domains, such as video surveillance, network intrusion detection, and disease outbreak detection. In recent years, deep learning-based...

The Central Banks use diffusion indexes (DIs) to synthesize information from proprietary surveys that complement official statistics generating real-time proxies of the economically relevant variables. According to the evidence, the DIs closely follow the economic cycle reflected in those...