For reason of empirical tractability, analysis of cointegrated economic time series is often developed in a partial setting, in which a subset of variables is explicitly modeled conditional on the rest. This approach yields valid inference only if the conditioning variables are weakly exogenous...

Model uncertainty remains a challenge to applied researchers in economics. When many competing models are available for estimation and without enough guidance from theory, model averaging represents an alternative to model selection. Despite model averaging approaches have been present in...

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

What are the output responses to fiscal policy? Despite important advances reported in the literature, quantifying the size of the fiscal multiplier remains a challenge. Indeed, the quest to estimate a unique fiscal multiplier is probably an ill-posed one. The magnitude of the multiplier may...

The Spanish growth experience over the 1995-2007 period was characterized by the remarkable surge in employment and investment as well as the dismal evolution of productivity. These macroeconomic fluctuations were coupled with an unprecedented credit boom fueled by a housing bubble. This article...

The COVID-19 shock impacted firms severely all over the world. Governments were swift to implement policy measures to aid these firms, but these are coming to an end in the midst of a highly uncertain macroeconomic environment as a result of the war in Ukraine and the surge in energy prices. In...

The Arellano and Bond (1991) estimator is widely-used among applied researchers when estimating dynamic panels with fixed effects and predetermined regressors. This estimator might behave poorly in finite samples when the cross-section dimension of the data is small (i.e. small N), especially if...

For reason of empirical tractability, analysis of cointegrated economic time series is often developed in a partial setting, in which a subset of variables is explicitly modeled conditional on the rest. This approach yields valid inference only if the conditioning variables are weakly exogenous...

Using a panel of Spanish firms over the period 2002-2012, we investigate the interactions between high growth episodes in terms of size and productivity. We find that high growth in productivity (size) increases the likelihood of high growth in size (productivity). However, the effect from size...

We empirically analyse the impact of public employment and public wages shocks on private labour market outcomes by examining whether policies operate differently in periods of economic slack than in normal times. We use local projection methods and focus on the Spanish and euro area aggregate...