This paper uses firm level panel data to investigate empirically the effects of direct foreign investment (DFI) on the productivity performance of domestic firms in three emerging economies of Central and Eastern Europe, Bulgaria, Romania and Poland. To this end a unique firm level panel data...

This Paper uses a unique representative firm level data set to analyse the effect of domestic and international competitive pressure and ownership changes in three emerging economies, Bulgaria Poland and Romania. Our main findings can be summarized as follows: Domestic competitive pressure,...

Stochastic frontier production functions are estimated for Bulgarian (1993–5) and Romanian (1994–5) manufacturing industries using firm-level panel data. The technical efficiency of firms is found to vary significantly both within and across industrial sectors in each country. We find strong...

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non- linear multivariate specification (one-step...

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as ragged edges and mixed frequencies. We examine the theoretical benefits of this extension and corroborate the...

To perform real-time business cycle inferences and forecasts of GDP growth rates in the Euro area, we use an extension of the Markov-switching dynamic factor models that accounts for the specificities of the day to day monitoring of economic developments such as ragged edges, mixed frequencies...