Conditional assessment of the impact of a Hausman pretest on confidence intervals

In the analysis of clustered and longitudinal data, which includes a covariate that varies both between and within clusters, a Hausman pretest is commonly used to decide whether subsequent inference is made using the linear random intercept model or the fixed effects model. We assess the effect of this pretest on the coverage probability and expected length of a confidence interval for the slope, conditional on the observed values of the covariate. This assessment has the advantages that it (i) relates to the values of this covariate at hand, (ii) is valid irrespective of how this covariate is generated, (iii) uses exact finite sample results, and (iv) results in an assessment that is determined by the values of this covariate and only two unknown parameters. For two real data sets, our conditional analysis shows that the confidence interval constructed after a Hausman pretest should not be used.     

Why Do Some Multinational Firms Respond Better Than Others to the Hostility of Host Governments? Proximal Embedding and the Side Effects of Local Partnerships

Using a multiple-case study of alleged expropriations reported before the World Bank, we examine how multinational companies (MNC) react to the escalating hostility of host governments. Our study reveals how different choices regarding the interaction with local nonmarket stakeholders – which we refer to as proximal vs. mediated embedding – shape how managers respond to these disputes by affecting their ability to collect, process and interpret information, and to act upon it in a way that effectively mobilizes local and international support. In contrast to the prevailing view that local partners in international joint ventures shelter MNCs from abuse from political authorities, our findings show that primary reliance on local partners to manage the local nonmarket environment can actually reinforce a liability of outsidership and even create a ‘liability of insidership’, to the extent that relying on local partners prevents the MNC from establishing quality connections with a broad range of nonmarket stakeholders, reducing its alertness and responsiveness to hostile acts from host governments.     

The impact of production offshoring on the skill composition of manufacturing firms: evidence from Italy

In this work we explore how the international outsourcing of production impacts the skill composition of employment within Italian manufacturing firms. In particular, our aim is to assess whether the choice to offshore production activities to cheap‐labour countries implies a bias in the employment of skilled workers relative to unskilled ones.

Using a balanced panel of firms covering the period 1995–2003, we set up a counterfactual analysis in which, by using a difference‐in‐differences propensity score matching estimator, we compare the dynamics of skill demand for treated and control firms while addressing the possible problem of selection bias.

Our results identify a ‘potential’ skill bias effect of production offshoring. In particular, we find that treated firms tend to show an upward shift in the skill ratio with respect to the counterfactual sample, but coefficients are not significantly different from zero. When we look at the elements of the skill ratio separately, we find that the skill bias is driven by a fall in the employment of production workers (blue collars), rather than by the increase in the employment of non‐production workers (white collars), thus providing further evidence on the unskilled labour‐saving nature of international outsourcing.     

Linking learning with governance in networks and clusters: key issues for analysis and policy

In this paper we analyse the relationship between governance and learning in clusters and networks. In particular, we see these two key elements as interdependent, suggesting that, under particular circumstances, such interdependence may drive clusters and networks towards a dynamic development trajectory. A pure ‘governance perspective’ makes the development of any locality dependent on the system of powers which exists within the locality or across the global value chain. In parallel, a pure ‘competence-based approach’ focuses mainly on the capabilities of actors to learn and undertake activities. In contrast, we open the prospects for an interdependent relation that may change the actual competences of actors as well as the governance settings and dynamics in networks and clusters. When supported by public policies, the learning process may have the potential to modify the governance environment. Simultaneously, the learning process is intrinsically influenced by economic power, which may seriously affect the development prospects of clusters and networks. This is why an intertwined consideration of both aspects is necessary to promote specific approaches to learning and to design appropriate policies. In this paper we offer two preliminary case studies to clarify some of these dynamics: the first taken from the computers cluster in Costa Rica and the second from an Italian bio-pharmaceutical firm and its production network. The first case study refers to the software cluster that was created from scratch in Costa Rica thanks to an enlightened government policy in coordination with new local enterprises and an important foreign direct investor; while the second reflects on the ability of an individual company to create a network of relationships with large transnational companies in order to acquire new competences without falling into a subordinate position with respect to its larger partners.     

Some reflections on past and future of nonlinear dynamics in economics and finance

This paper offers an overview of the literature on the economic and financial applications of theory of nonlinear dynamics, especially bifurcation theory. After a short introductory discussion of the first nonlinear dynamic models in social sciences and the economic relevance of the zoo of bifurcations and complicated dynamics that such models can generate, we present an overview of the literature on nonlinear dynamic models in the areas of underdevelopment, environmental poverty traps, the management of common goods, industrial organization and financial markets. The review of the literature is enriched by reflections and ideas for future research.     

The two sides of academic research: do basic and applied activities complement each other?

It is generally acknowledged that the cuts in government funding for research implemented in several European countries will induce academic researchers to increase their interaction with non academic entities to promote the acquisition of external funding for research. Indirectly this implies that there will be a shift in the focus of academic scientific activity from basic to applied research via private research contracts and consultancy work. The aim of our paper is to assess the extent of the trade-off between basic research and applied activity in academic research departments. We use data for the universe of Italian academic departments over the period 2006–2011 and estimate whether increased applied activity is substituting or complementing basic research activity. We provide empirical evidence of a strong substitution effect for life sciences departments and, to a lesser extent, for engineering and technology departments, while there does not seem to be evidence of a substitution effect for departments whose scientific activity revolves around basic science.     

Su di una politica di bonus

Si prende in considerazione una politica di Bonus attuata da una Compagnia di assicurazione e si studia l'andamento della perdita attesa della Compagnia al variare dell'entità del Bonus nei casi in cui:

1. la funzioneL(s), che esprime il livello minimo dell'entità dei sinistri non occultabili all'istantes, sia lineare ins;
2. la funzioneL(s) renda massima la previsione del guadagno di ogni singolo assicurato.

     

Nonlinear economic growth: Some theory and cross-country evidence

This paper aims to test the existence of different growth regimes, that is of different relationships between growth rate and income level. We propose a simple nonlinear growth model and test its empirical implications by estimating Markov transition matrices and stochastic kernels. We show that growth is indeed nonlinear: a first phase of slow or zero growth is followed by a take-off and, finally, by a phase of deceleration. We discuss the relevance of these results with respect to the issue of convergence and reversibility of development, in the light of models of structural change and technological diffusion.