In this work, we investigate the interrelations among technology, output and employment in the different states of the U.S. economy (recessions vs. expansions). More precisely, we estimate different threshold vector autoregression (TVAR) models with TFP, hours, and GDP, employing the latter as...

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances...

In this work, we investigate the interrelations among technology, output and employment in the different states of the U.S. economy (recessions vs. expansions). More precisely, we estimate different threshold vector auto-regression (TVAR) models with TFP, hours, and GDP, employing the latter as...

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances is...

This paper seeks to identify the largest two shocks that can explain the movement in Canadian GDP for the period 1981Q1 to 2011Q4. I employ a very flexible identification method proposed by Uhlig (2003) that allows us to identify the key shocks from the time series data without imposing any...

The dynamics of startup activity are crucial for job creation, innovation, and a competitive economy. Does regional firm formation exhibit hysteresis, such that shocks, including those induced by temporary policy interventions, have permanent effects? Due to the pronounced heterogeneity among...