This paper explores the role of knowledge flows and productivity growth by linking direct survey data on knowledge flows to firm-level data on TFP growth. Our data measure the information flows often considered important, especially by policy-makers, such as from within the firm and from...

This paper explores the role of knowledge flows and productivity growth by linking direct survey data on knowledge flows to firm-level data on TFP growth. Our data measure the information flows often considered important, especially by policy-makers, such as from within the firm and from...

This paper provides an empirical analysis on the determination of wages at the sectoral level in main industrial economies. Nominal wages are bargained between labour unions and employers in imperfect competitive markets, where spillovers across sectors might occur. Using a principal component...

This paper derives a structural relationship between the nominal exchange rate, national price levels, and observed yields on long maturity inflation - indexed bonds. This relationship can be interpreted as defining the fair value of the exchange rate that will prevail in any model or real world...

This paper derives a structural relationship between the nominal exchange rate, national price levels, and observed yields on long maturity inflation - indexed bonds. This relationship can be interpreted as defining the fair value of the exchange rate that will prevail in any model or real world...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary policy and fiscal policy. We use the general framework of sequential predictions also called online machine learning to forecast...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary and "fiscal policy. We use the general framework of sequential predictions, also called online machine learning, to forecast...