Rethinking the import-productivity nexus for Italian manufacturing

We provide evidence on the firm level productivity effects of imports of intermediates. By exploiting a large panel of Italian manufacturing firms, we are able to separately explore the role of importing from high and low income countries. Importing does not permanently affect the firm productivity growth. This finding holds both when we test for the import entry by means of Propensity Score Matching techniques and when we analyse the import intensity within a dynamic panel data model framework. On the contrary, we confirm the existence of self-selection into importing. Also, our evidence supports the learning-by-exporting effects in Italian manufacturing and we prove that this result is robust to the control of firm import activity.     

Sticky cost behaviour: evidence from small and medium sized companies

This paper investigates whether cost stickiness occurs in small and medium sized companies using a sample of Italian nonlisted and listed firms during the period 1999–2008. Our findings show that cost stickiness emerges only for the total cost of labour and not for selling, general and administrative (SG&A) costs, cost of goods sold and operating costs. Stickiness of operating costs is only detected in a sample of listed companies. We further contribute to the literature on sticky cost behaviour by discussing critical issues associated with the extant approach of empirical analysis and interpretation of sticky cost behaviour.     

Imports,Exports and the Firm Product Scope: Evidence From Turkey

By exploiting an original firm‐product level dataset for Turkish manufacturing, ‐way trading on firm product scope and innovation in a multiple treatment setting. Our evidence points at the prominent role of exporting, while no effect is found for importing only. Nonetheless, we corroborate existing evidence on the virtuous nexus between the two international activities and add to the literature by showing that joint firm involvement in exporting and importing fosters product innovation and quality upgrading.     

Labor market institutions and inflation volatility in the euro area

Despite having had the same currency for many years, EMU countries still have quite different inflation dynamics. In this paper we explore one possible reason: country specific labor market institutions, giving rise to different inflation volatilities. When unemployment insurance schemes differ, as they do in EMU, reservation wages react differently in each country to area-wide shocks. This implies that real marginal costs and inflation also react differently. We report evidence for EMU countries supporting the existence of a cross-country link over the cycle between labor market structures on the one side and real wages and inflation on the other. We then build a DSGE model that replicates the data evidence. The inflation volatility differentials produced by asymmetric labor markets generate welfare losses at the currency area level of approximately 0.3% of steady state consumption.     

On the statistical identification of DSGE models

Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented. In this article we illustrate how the concept of statistical identification, that was introduced and used by Spanos [Spanos, Aris, 1990. The simultaneous-equations model revisited: Statistical adequacy and identification. Journal of Econometrics 44, 87–105] to criticize traditional evaluation methods of Cowles Commission models, could be relevant for DSGE models. We conclude that the recently proposed model evaluation method, based on the DSGE–VAR(λ)$\left(\lambda \right)$, might not satisfy the condition for statistical identification. However, our application also shows that the adoption of a FAVAR as a statistically identified benchmark leaves unaltered the support of the data for the DSGE model and that a DSGE–FAVAR can be an optimal forecasting model.     

Internationalization of Italian Firms in Central and Eastern European Countries: Headquarters–Subsidiary Relationship

This article aims at providing further empirical evidence about the international activity of Italian small and medium enterprises (SMEs). In particular, the present contribution can be ascribable to the stream of research regarding the headquarters–subsidiary relationship. Focusing our attention on the subsidiary of Italian SMEs internationalized in Central and Eastern European countries (CEECs), we provide evidences about the main variables affecting their autonomy. Literature review provides us evidences of the fact that subsidiary autonomy is an extremely heterogeneous topic to investigate. Consequently, we decided to add to the quantitative analysis also a qualitative one. Through personal interviews with the Italian entrepreneurs and the managers of the local subsidiaries, we got a better and deeper insight into the evidences coming from the quantitative data.     

Import penetration and returns to tasks: recent evidence from the Peruvian labour market

This paper provides original evidence on the impact of import penetration on wages of individuals performing manual/cognitive task-intensive jobs in the Pe     

On the predictability of time-varying VAR and DSGE models

Over the last few years, there has been a growing interest in DSGE modelling for predicting macroeconomic fluctuations and conducting quantitative policy analysis. Hybrid DSGE models have become popular for dealing with some of the DSGE misspecifications as they are able to solve the trade-off between theoretical coherence and empirical fit. However, these models are still linear and they do not consider time variation for parameters. The time-varying properties in VAR or DSGE models capture the inherent nonlinearities and the adaptive underlying structure of the economy in a robust manner. In this article, we present a state-space time-varying parameter VAR model. Moreover, we focus on the DSGE–VAR that combines a microfounded DSGE model with the flexibility of a VAR framework. All the aforementioned models as well simple DSGEs and Bayesian VARs are used in a comparative investigation of their out-of-sample predictive performance regarding the US economy. The results indicate that while in general the classical VAR and BVARs provide with good forecasting results, in many cases the TVP–VAR and the DSGE–VAR outperform the other models.     

Trade and Wage Inequality: Local versus Global Comparative Advantages

This paper shows that disentangling the local and global dimensions of trade can be crucial to get a better understanding of the trade impact on wage inequality. In particular, it allows us to reconcile the empirical evidence with the Heckscher–Ohlin–Samuelson predictions. Our focus here is on Italy. As for local trade – within its own cone of diversification – Italy is specialised in the production of unskill‐intensive goods, while for global trade – with respect to the other cone of diversification – it is mainly specialised in the production of skill‐intensive goods. On the evidence of these specialisation patterns, we point out that the local trade has a strong impact on wage inequality. In particular, in line with the Heckscher–Ohlin–Samuelson predictions, the local export performance reduces wage inequality as it favours blue‐collar workers. As for global trade, it affects and increases wage inequality through the export channel, again consistent with the Heckscher–Ohlin–Samuelson predictions.