Global value chains and technology transfer: new evidence from developing countries

Review of World Economics - International trade has long been considered a channel of technology transfer. This paper draws from the World Bank’s Enterprise Surveys to provide a sample of 18...     

PFIs involving multiple public partners: a case study from the Italian healthcare sector

The financial crisis experienced by many countries since 2008 has given new importance to private finance initiatives (PFIs) for providing public services. This paper analyses the relationships between multiple public and private sector actors participating in a PFI in the healthcare sector in order to better understand the motives and behaviour of public and private sector partners. High levels of trust and the active participation of a regulatory body were found to be significant factors in terms of creating a partnership that benefits all sides.     

Nonlinear dynamics in economic modelling

Decisions in Economics and Finance -     

Managing liquidity with portfolio staleness

Decisions in Economics and Finance - Liquidity is a risk factor of primary relevance that can significantly affect the asset allocation decisions of investors. In this paper, we introduce the...     

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.     

Stable Asymptotics for M‐estimators

We review some first‐order and higher‐order asymptotic techniques for M‐estimators, and we study their stability in the presence of data contaminations. We show that the estimating function (ψ) and its derivative with respect to the parameter play a central role. We discuss in detail the first‐order Gaussian density approximation, saddlepoint density approximation, saddlepoint test, tail area approximation via the Lugannani–Rice formula and empirical saddlepoint density approximation (a technique related to the empirical likelihood method). For all these asymptotics, we show that a bounded ψ (in the Euclidean norm) and a bounded (e.g. in the Frobenius norm) yield stable inference in the presence of data contamination. We motivate and illustrate our findings by theoretical and numerical examples about the benchmark case of one‐dimensional location model.     

Fiscal policy under loose commitment

Due to time-inconsistency or political turnover, policymakers' promises are not always fulfilled. We analyze an optimal fiscal policy problem where the plans made by the benevolent government are periodically revised. In this loose commitment setting, the properties of labor and capital income taxes are significantly different than under the full-commitment and no-commitment assumptions. Because of the occasional reoptimizations, the average capital income tax is positive even in the long-run. Also, the autocorrelation of taxes is lower, their volatility with respect to output increases and the correlation between capital income taxes and output changes sign. Our method can be used to analyze the plausibility and the importance of commitment in a wide-class of dynamic problems.     

Productivity,innovation strategies and industrial relations in SMEs. Empirical evidence for a local production system in northern Italy

The paper aims to provide an original contribution to evaluating several kinds of relations between four areas of innovation activities – training, technology, organization, ICT (information and communication technologies) – and industrial relations and firm’s economic performance. Quantitative evidence for a SME‐based local production system is provided by exploiting two datasets: the first is derived from a direct survey carried out in 2005 collecting data on innovations, labour flexibility and industrial relations; the second is represented by a panel of official balance sheets data for the period 1998–2004. The analysis is divided in two consequential parts. We first examine the drivers of different innovation strategies and subsequently we exploit innovation indicators as potential drivers of firm’s productivity. The results show that training activities and organizational changes have strong links with many industrial relations indicators, thus emerging as industrial relations driven innovations. On the contrary, ICT and technological innovation seem to be more influenced by firms’ past performances than by industrial relations. The analysis on labour productivity drivers shows that training activities are the most relevant factors; then, ranked consequently, technological innovation, organisational innovations and, finally, ICT also appear to impact on productivity levels. It is worth noting that the role of ICT emerges more robustly when endogeneity is specifically addressed. Finally, the role of firm size seems here to be overshadowed by other drivers.     

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.     

Reshaping the schooling system: The role of immigration

This paper studies how the schooling system may be impacted by the number and skill type of immigrants. When the number of low-skilled immigrants is large, the education regime tends to become segregated. Wealthy locals are more likely to choose private schools and vote for a lower tax rate to finance public education. In contrast, high-skilled immigrants tend to reinforce the public system. The optimal immigration policy is highly skill-biased. The admission of high-skilled immigrants expedites redistribution toward the less-skilled local households through both a stronger fiscal support for public education and a reduction in the skill wage premium.