This paper aims to reconcile the logic behind stochastic models of firm growth and the notion of organizational capabilities as drivers of economic performance. In the proposed behavioral model of bounded rational firms, two mechanisms drive growth: independent stochastic growth of individual...

This paper focuses on decentralized energy in Germany and how households' environmental behavior in terms of energy consumption is shaped in these contexts. It sets out to gain a more precise understanding of whether decentralized energy initiatives are a good tool to promote the adoption of...

This study examines the association between investments in automation technologies and employment outcomes at the firm level, utilizing a panel dataset of about 10,450 Italian firms. Focusing on the proliferation of non-standard, flexible labor contracts introduced by labor market reforms in the...

Experimental results in research on time preference are often controversial. We propose a systematic investigation of choice task in multiple price list format (MPL) that is frequently implemented in experiments on time preference, through a computer simulation analysis. We conduct experiments...

The paper investigates the changes in job creation and destruction flows considering a very disaggregate level of analysis. If institutional setup plays a more important role compared to other factors, than at lower levels of aggregation we should observe that job flows regularities are in line...

We analyse labor market dynamics with an agent based model, which replicates a set of stylized facts in the labor market as well as aggregate regularities. We are able to reproduce the Beveridge curve, job creation and destruction flows, a persistent unemployment level, and wages stickiness. On...

Three well-known aggregate regularities (i.e. Beveridge, Wage, and Okun's curves) seem to provide a quite complete picture of the interplay between labor market macro-dynamics and business cycle. Nevertheless, existing theoretical literature still lacks micro-founded models which are able to...

This paper presents a counter-factual model identifying Average Treatment Effects (ATEs) by Conditional Mean Independence when externality (or neighbourhood) effects are incorporated within the traditional potential outcome model. As such, it tries to generalize the usual approach, widely used...

A Structural Marginal Model and Inverse Probability of Treatment Weighting (IPTW) estimation strategy is proposed in a dynamic 2-dimensional treatment setting in order to identify and estimate both the direct and the indirect average treatment effects of a policy over time. This approach is used...

This work discusses and empirically investigates the relationship between labor regulation and robotization. In particular, the empirical analysis focuses on the relationship between the discipline of workers' dismissal and the adoption of indus- trial robots in nineteen Western countries over...