Technological refinements appears to be much more frequent than breakthrough innovations. We argue that this could be the result of an optimizing choice when the innovation revenues are exposed to Knightian uncertainty and innovators are loss-averse. The innovator's choice between breakthrough...

We consider the effect of money illusion - defined referring to Stevens' ratio estimation function - on the long-run Phillips curve in an otherwise standard New Keynesian model of sticky wages. We show that if agents under-perceive real economic variables, negative money non-superneutralities...

We investigate the sources and determinants of output growth of Italian manufacturing firms. Applying stochastic frontier techniques, we decompose output growth into factor accumulation and TFP growth from 1998 to 2003. TFP growth is further decomposed into technological change, efficiency...

Negative values for estimated variances can arise in a panel data context. Empirical and theoretical literature dismisses the problem as not serious and a practical solution is to replace negative variances by its boundary value, i.e. zero. While this is not a concern when the individual...

A simple, two period framework is used to interpret existing contributions to the literature on decision rules for HTA under uncertainty and to contrast them with a dynamic, economic model solved using backward induction.

This paper develops a new moment condition for estimation of linear panel data models. When added to the set of instruments devised by Anderson, Hsiao (1981, 1982) for the dynamic model, the proposed approach can outperform the GMM methods customarily employed for estimation. The proposal builds...

We examine the role played by Mutual Guarantee Institutions (MGIs) in the lending policies undertaken by banks at the peak of the Great Crisis of 2007-2009. We address this issue by using a large database on Italian firms built from the credit files of UniCredit banking Group and focusing on...

In a panel data model with random effects, when autocorrelation in the error is considered, (Gaussian) maximum likelihood estimation produces a dramatically large number of corner solutions: the variance of the random effect appears (incorrectly) to be zero, and a larger autocorrelation is...