This paper studies the impact of size on labor cost and productivity for Italian manufacturing firms. The distributions of both labor cost and productivity display a wide support, even when disaggregated by sector of industrial activity. Further, both labor cost and productivity, when considered...

If the relation between investment and economic growth is well established in the macroeconomic literature, the existence of a similar link at the level of the firm has been challenged by empirical work. This paper investigates the channels linking investment and firm performance in the French...

This paper analyzes how multi-product firms adjust their exported product-mix across destinations. Using cross sections of Italian and French data, we show that firms do not follow a rigid ordering in their product mix exported in different markets but rather they adapt their choices to better...

Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational "fitness" within a competitive environment, firm growth is also a central concern to both the practice and...

In this paper, we perform an empirical comparison of Italian and US business cycles. After filtering the time series of the main macroeconomic variables of the two countries, through an approximate bandpass filter, we analyze the cross-correlations between each filtered variable and the filtered...

In uniform price, sealed-bid day-ahead electricity auctions, the market price is set at the intersection between aggregate demand and supply functions built by a market operator. Each day, just one agent - the marginal generator - owns the market-clearing plant. Day-ahead auctions are moreover...

In this paper we investigate whether long run time series of income per capita are better described by a trend-stationary model with few structural changes or by unit root processes in which permanent stochastic shocks are responsible for the observed growth discontinuities. To this purpose, we...

This paper introduces a little known category of estimators - Linear Non-Gaussian vector autoregression models that are acyclic or cyclic - imported from the machine learning literature, to revisit a well-known debate. Does exporting increase firm productivity? Or is it only more productive...

This paper characterizes the impact of serial dependence on the non-asymptotic estimation error bound of penalized regressions (PRs). Focusing on the direct relationship between the degree of cross-correlation of covariates and the estimation error bound of PRs, we show that orthogonal or weakly...