Skilled and unskilled wage dynamics in Italy in the 1990s: changes in individual characteristics,institutions, trade and technology

In this paper, we use individual micro data on workers combined with industry and regional data to study the wage dynamics of skilled and unskilled workers in Italy in the 1991–1998 period. In contrast to previous empirical studies, our data make it possible to analyse, within a single framework, the role of many of the factors indicated in the literature as possible determinants of skilled and unskilled wage dynamics: changes in the individual characteristics of workers, changes in labour market institutions, increasing international integration, and skill‐biased technological progress. Our results show that international integration, both in terms of trade in goods and in terms of international labour mobility, plays a role in determining the wage dynamics of skilled (white‐collar) and unskilled (blue‐collar) workers. Moreover, in line with labour economics research, our findings show that the individual characteristics of workers and the institutional variables are more relevant in explaining skilled and unskilled wage dynamics than wage differentials.     

On the influence of US monetary policy on crude oil price volatility

Forecasting oil prices is not straightforward, such that it is convenient to build a confidence interval around the forecasted prices. To this end, the principal ingredient for obtaining a reliable crude oil confidence interval is its volatility. Moreover, accurate crude oil volatility estimation has fundamental implications in terms of risk management, asset pricing and portfolio handling. Generally, current studies consider volatility models based on lagged crude oil price realizations and, at most, one additional macroeconomic variable as crude oil determinant. This paper aims to fill this gap, jointly considering not only traditional crude oil driving forces, such as the aggregate demand and oil supply, but also the monetary policy rate. Thus, this work aims to contribute to the debate concerning the potential impact of (lagged) US monetary policy as well as the other crude oil future price (COFP) determinants on daily COFP volatility. By means of the recently proposed generalized autoregressive conditional heteroskedasticity mixed data sampling model, different proxies of the US monetary policy alongside US industrial production (proxy of the US aggregate demand) and oil supply are included in the COFP volatility equation. Strong evidence that an expansionary (restrictive) variation in monetary policy anticipates a positive (negative) variation in COFP volatility is found. We also find that a negative (positive) variation of industrial production increases (decreases) COFP volatility. This means that volatility behaves counter-cyclically, according to the literature. Furthermore, the out-of-sample forecasting procedure shows that including these additional macroeconomic variables generally improves the forecasting performance.     

Non-convexities in the adjustment of different capital inputs: A firm-level investigation

Recent developments in investment research have highlighted the importance of non-convexities and irreversibilities in firms’ adjustment of quasi-fixed inputs. Aggregation across capital goods may smooth out the discontinuities associated with the adjustment of individual assets. Lack of suitable data is one of the reasons why empirical work has typically relied on the assumption of capital homogeneity. In this paper we exploit a data set of 1539 Italian firms which allows us to disaggregate capital into equipment and structures, and purchases and sales of assets. We construct measures of fundamental Q to capture investment opportunities associated with each asset. We uncover the pattern of dynamic adjustment by using non-parametric techniques to relate each individual investment to its own fundamental Q.     

Internal finance and growth: Microeconometric evidence on Chinese firms

Using a panel of 79,841 Chinese firms over the period 2000-2007, we examine the extent to which liquidity constraints affect firms' assets growth. We find that state owned enterprises are not affected, while the availability of internal finance represents a binding constraint for the growth of private firms, especially those operating in coastal regions, with negligible foreign ownership. Thanks to their high productivity, cash flow is, however, so abundant for these firms that they are able to grow at a very fast rate, despite being discriminated against by financial institutions. Hence, well developed external capital markets may not always be needed for fast economic growth.     

Redistribution policy: A European model

Following the rationale for regional redistribution programs described in the official documents of the European Union, this paper studies a simple multicountry model built around two regions: a core and a periphery. Technological spillovers link firms' productivity within each of the two regions, and each country's territory falls partly in the core and partly in the periphery, but the exact shares vary across countries. In line with the official view of the European Union, we find that the efficient regional allocation requires both national and international transfers. If migration is fully free across all borders, the optimal redistribution policy results from countries' uncoordinated policies. However, if countries have the option of setting even imperfect border barriers, then efficiency is likely to require coordination on both barriers and international transfers (both of which will be set at positive levels). The need for coordination increases as the Union increases in size.     

Assessing and predicting financial vulnerability of Italian households: a micro-macro approach

In this study we develop a micro-founded model to analyse the economic-financial conditions of Italian households. Using household level data, we build an indicator to identify vulnerable households based on their budget constraint and the composition of their financial portfolio. Then, we calculate the impact of the predicted trends of macroeconomic variables on the indicator in order to monitor its evolution in the short term (2015–2017). The empirical analysis is based on the Survey of Household Income and Wealth of the Bank of Italy and on a set of macroeconomic forecasts. Our findings suggest that the macroeconomic scenario for the period 2015–2017 implies a progressive reduction in the percentage of vulnerable households for the full extent of the projection.     

Do foreigners replace native immigrants? A panel cointegration analysis of internal migration in Italy

This paper examines the impact of the immigration of foreigners on domestic labor mobility. Since David Card's seminal study on the regional labor market impact of the Mariel Boatlift it is controversial whether domestic labor mobility equilibrates economic conditions across regions. However, there is little or no evidence that natives leave destinations where migrants tend to cluster. In this paper we reconcile the existing evidence by taking another route: we analyze whether the immigration of foreigners replaces domestic mobility from poor to rich regions. We focus on Italy, which is characterized by large North-South wage and unemployment differentials, and apply panel cointegration methods. The main finding is that, conditional on unemployment and wage differentials, the presence of foreign workers in the labor force of the destination regions discourages internal labor mobility significantly. As a consequence, spatial correlation studies which use the variance of the foreigner share across regions for identifying the wage and employment effects of immigration, tend to understate the actual impact of foreign immigration.