The government's ability to deliver inclusive growth crucially depends on the quality of
governance. This paper reviews the linkages between governance and inclusive growth …

Alternative datasets are widely used for macroeconomic nowcasting together with machine
learning–based tools. The latter are often applied without a complete picture of their …

Nowcasting, that is, forecasting the current economic conditions, is a key ingredient for
decision making, but it is complex, even more so for a small open economy, due to the …

Nowcasting macroeconomic aggregates have proved extremely useful for policy-makers or
financial investors, in order to get real-time, reliable information to monitor a given economy …

In this paper, we present a new approach based on dynamic factor models (DFMs) to
perform nowcasts for the percentage annual variation of the Mexican Global Economic …

This paper investigates the predictive ability of a brand new dataset that is based on big
unstructured data published by the UK Office for National Statistics as “Faster Indicators of …

We present two new lasso estimators, the HAC-lasso and AC-lasso, that are suitable for time-
series applications. The estimators are variations of the theory-based or 'rigorous' lasso of …

Seismometers continuously record a wide range of ground vibrations that are not
necessarily related to earthquake activity, but are rather caused by human activity such as …

In this work, we rely on unconventional data sources to nowcast the year-on-year growth
rate of Finnish indus-trial production, for different industries. As predictors, we use real-time …

This dissertation comprises three chapters. The first two address issues within the education
system, focusing on strategies to attract and retain high-quality teachers in the public sector …