Credit demand and supply shocks in Italy during the Great Recession

In this article, we use Structural VAR analysis to disentangle credit demand and supply shocks and their effect on real economic activity in Italy during the 2008 to 2014 crisis period. The three endogenous variables considered are the loan interest rate, the loans growth rate and the employment to population ratio. The data are observed at annual frequency for each of 103 Italian provinces. The empirical evidence suggests that the variance of the shocks varies across four Italian macro-regions: North, Centre, South and Islands, and hece heteroscedasticity is used to identify (ex ante) the structural shocks. Sign restrictions are used to interpret shocks ex post. The empirical findings suggest a prominent role of credit supply shock in shaping real activity dynamics and also that credit crunch hits the North of Italy less than the remaining macro-regions, especially the South of Italy.     

International macroeconomic dynamics: A factor vector autoregressive approach

In this paper international comovements among a set of key real and nominal macroeconomic variables in the US, UK, Canada, Japan and the Euro area have been investigated for the 1980–2005 period, using a factor vector autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern only real activity, but are an important feature also of stock market returns, inflation rates, interest rates and, to a smaller extent, monetary aggregates. Both common sources of shocks and similar transmission mechanisms explain international comovements, with the only exception of Japan, where the idiosyncratic features seem to dominate. Finally, concerning the origin of global shocks, evidence of both global supply-side and demand-side disturbances is found.     

A micro-based non-inflationary rate of capacity utilisation as a measure of inflationary pressure: evidence for Austria

We derive a non-inflationary rate of capacity utilisation (NIRCU)—as recently proposed by Köberl and Lein (Can J Econ 44:673–694, 2011)—based on a large Austrian firm-level panel dataset ranging from 1996 to 2011. By conditioning the current capacity utilisation of firms on their current and planned price adjustments, a micro-level NIRCU is defined as the level of capacity utilisation at which there is no need for the firm to adjust its prices. In contrast to other measures of inflationary pressure, this measure (1) is timely available without revisions and (2) does not imply any need for rather arbitrary methods or concepts such as statistical filtering or potential output. In accordance with the results in Köberl and Lein (Can J Econ 44:673–694, 2011), we find that the NIRCU performs well as a driving variable of Austrian inflation in various Phillips Curve estimations. Compared to other inflation driving variables, such as real unit labor cost, the output gap and the unemployment gap, it delivers reasonable parameter estimates which are in line with existing Phillips Curve estimations in the literature.     

Uncertainty about fundamental,pessimistic and overconfident traders: a piecewise-linear maps approach

Decisions in Economics and Finance - We analyze a financial market model with heterogeneous interacting agents where fundamentalists and chartists are considered. We assume that fundamentalists are...     

Threshold cointegration and spatial price transmission when expectations matter

We examine the performance of the threshold cointegration approach, specifically Band‐TVECM, to price transmission analysis in an explicit context where trade decisions are made based on expectation of final prices, because trade takes time. We find that, following a standard inference strategy, a large portion of three‐regime cases are not identified as such. Results show that transfer costs are systematically underestimated, particularly in three‐regime models. The speed of price transmission is also biased in three‐regime models. Furthermore, inferences about occurrence of trade are poor, with estimated models suggesting far lower market integration than is true in the data‐generating process.     

The labour market and the distribution of earnings: an empirical analysis for Italy

Using four waves of data from the Participation Labour Unemployment Survey, a database of information on the Italian labour market supply, we address the question of earnings dispersion by applying a ‘nested’ decomposition procedure of the Theil inequality measure, which combines into a unified framework the standard decompositions by population subgroups and income sources. The empirical evidence obtained points to the key role played by the self-employees in shaping labour income inequality, especially at the upper extreme of the earnings distribution, and the emergence of non-standard forms of employment as an important feature of the contemporary workplace.