Non-clearing goods markets are an important driver of capacity utilisation and total factor productivity (TFP). The trade-off between goods prices and household search effort is central to goods market matching and therefore drives TFP over the business cycle. In this paper, I develop a New-Keynesian DSGE model with capital utilisation, worker effort, and expand it with<i> goods market search-and-matching (SaM)</i> to model non-clearing goods markets. I conduct a horse-race between the different capacity utilisation channels using Bayesian estimation and capacity utilisation survey data. Models that include goods market SaM improve the data fit, while the capital utilisation and worker effort channels are rendered less important compared to the literature. It follows that TFP fluctuations increase for demand and goods market mismatch shocks, while they decrease for technology shocks. This pattern increases as goods market frictions increase and as prices become stickier. The paper shows the importance of non-clearing goods markets in explaining the difference between technology and TFP over the business cycle.

This paper uses novel news ticker data to evaluate the effect of sovereign risk on economic and financial outcomes. The use of intraday news enables me to derive policy events and respective timestamps that potentially alter investors’ beliefs about a sovereign’s willingness to service its debt and thereby sovereign risk. Following the high frequency identification literature, in the tradition of Kuttner (2001) and Guerkaynak et al. (2005), associated variation in sovereign risk is then obtained by capturing bond price movements within narrowly defined time windows around the event time. I conduct the outlined identification for Italy since its large bond market and its frequent coverage in the news render it a suitable candidate country. Using the identified shocks in an instrumental variable local projection setting yields a strong instrument and robust results in line with theoretical predictions. I document a dampening effect of sovereign risk on output. Also, borrowing costs for the private sector increase and inflation rises in response to higher sovereign risk.

Since the onset of globalisation, production activities have become increasingly fragmented and organised in global value chains (GVC). These networks facilitate trade in intermediaries across industrial sectors and countries and change the conditions for policies to respond to shocks. In this paper, we contribute to the understanding of the effects of GVC on productivity and labour shares in advanced and emerging economies. As indicators for globalisation we use the foreign share in intermediate inputs and the foreign share in value added, extracted from international input output tables. Estimates based on local projections reveal a positive relationship between globalisation and productivity. Moreover, we are able to reject the hypothesis that a higher degree of international integration in country-industry pairs is negatively associated with the change in the labour share for advanced countries.

By adopting a difference-in-differences specification combined with propensity score matching, we provide evidence using the microdata of German banks that stateowned savings banks have lent less than credit cooperatives during the COVID-19 crisis. In particular, the weaker lending effects of state-owned banks are pronounced for long-term and nonrevolving loans but insignificant for short-term and revolving loans. Moreover, the negative impact of government ownership is larger for borrowers who are more exposed to the COVID-19 shock and in regions where the ruling parties are longer in office and more positioned on the right side of the political spectrum.

This paper investigates whether and how economic policy uncertainty affects corporate debt maturity. Using a large firm-level dataset for four European countries, we find that an increase in economic policy uncertainty is significantly associated with a shortened debt maturity. Moreover, the impacts are stronger for innovation-intensive firms. We use firms’ flexibility in changing debt maturity and the deviation to leverage target to gauge the causal relationship, and identify the reduced investment and steepened term structure as the transmission mechanisms.