Competition Among Universities and the Emergence of the Élite Institution

We consider an environment where two education institutions compete by selecting the proportion of their funding devoted to teaching and research and the criteria for admission for their students, and where students choose whether and where to attend university. We study the relationship between the cost incurred by students for attending a university located away from their home town and the equilibrium configuration that emerges in the game played by the universities. Symmetric equilibria, where universities choose the same admission standard, only exist when the mobility cost is high; when the mobility cost is very low, there is no pure strategy equilibrium. For intermediate values of the mobility cost, only asymmetric equilibria may exist; the final section of the paper provides an example where asymmetric equilibria do indeed exist for a plausible and robust set of parameters.     

Economic impact of onabotulinumtoxinA for overactive bladder with urinary incontinence in Europe

Background: Overactive bladder (OAB) is a common condition that has a significant impact on patients’ health-related quality-of-life and is associated with a substantial economic burden to healthcare systems. OnabotulinumtoxinA has a well-established efficacy and safety profile as a treatment for OAB; however, the economic impact of using onabotulinumtoxinA has not been well described.

Methods: An economic model was developed to assess the budget impact associated with OAB treatment in France, Germany, Italy, Spain and the UK, using onabotulinumtoxinA alongside best supportive care (BSC)—comprising incontinence pads and/or anticholinergic use and/or clean intermittent catheterisation (CIC)—vs BSC alone. The model time horizon spanned 5 years, and included direct costs associated with treatment, BSC, and adverse events.

Results: Per 100,000 patients in each country, the use of onabotulinumtoxinA resulted in estimated cost savings of €97,200 (Italy), €71,580 (Spain), and €19,710 (UK), and cost increases of €23,840 in France and €284,760 in Germany, largely due to day-case and inpatient administration, respectively. Projecting these results to the population of individuals aged 18 years and above gave national budget saving estimates of €9,924,790, €27,458,290, and €48,270,760, for the UK, Spain, and Italy, respectively, compared to cost increases of €12,160,020 and €196,086,530 for France and Germany, respectively. Anticholinergic treatment and incontinence pads were the largest contributors to overall spending on OAB management when onabotulinumtoxinA use was not increased, and remained so in four of five scenarios where onabotulinumtoxinA use was increased. This decreased resource use was equivalent to cost offsets ranging from €106,110 to €176,600 per 100,000 population.

Conclusions: In three of five countries investigated, the use of onabotulinumtoxinA, in addition to BSC, was shown to result in healthcare budget cost savings over 5 years. Scenario analyses showed increased costs in Germany and France were largely attributable to the treatment setting rather than onabotulinumtoxinA acquisition costs.     

Rethinking the import-productivity nexus for Italian manufacturing

We provide evidence on the firm level productivity effects of imports of intermediates. By exploiting a large panel of Italian manufacturing firms, we are able to separately explore the role of importing from high and low income countries. Importing does not permanently affect the firm productivity growth. This finding holds both when we test for the import entry by means of Propensity Score Matching techniques and when we analyse the import intensity within a dynamic panel data model framework. On the contrary, we confirm the existence of self-selection into importing. Also, our evidence supports the learning-by-exporting effects in Italian manufacturing and we prove that this result is robust to the control of firm import activity.     

Bayesian inference in cointegrated systems

In this paper I deal with Bayesian methods for conducting inference on important features of (potentially) cointegrated VAR models involving I(1) variables. Firstly, (informal) inference is made on the cointegrating rank of the system. Secondly, posterior analysis is used to verify the validity of over-identifying restrictions on the cointegration parameters. Thirdly, posterior distributions are obtained for impulse response functions and predictive densities at different horizons. The relevant posterior distributions are obtained by means of Monte Carlo integration. The analysis is based on the use of simple weakly informative priors. Two applications on simulated data and on the Danish money demand data are presented.     

The productive effect of transport infrastructures: does road transport liberalization matter?

In this paper we analyze the impact of motorway networks on production for a panel of twenty one manufacturing and service sectors of eleven EU countries observed over the period 1980–2003. In particular, we analyze if the degree of regulation of the road transport sector affects the link between productivity and motorway infrastructures. Overall results suggest that output elasticity with respect to motorway is found to be lower for countries characterised by a high degree of entry barriers in the road transport sector. This result is found to be more evident for industries which rely more heavily on transport services.     

Bayesian exploratory factor analysis

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a high dimensional set of psychological measurements.     

Risk and Capital Structure in the Regulated Firm

This paper studies the role of capital structure in a regulated firm. We show that it affects the prices set by the regulator, the expected price being lower the higher the proportion of debt finance. However, when debt is increased beyond a certain level, the benefit of lower expected prices is offset by their increased variability. We also study the socially preferred capital structure. This is such that consumers carry some risk, in the form of higher prices in adverse economic conditions.     

Hierarchical Markov normal mixture models with applications to financial asset returns

Motivated by the common problem of constructing predictive distributions for daily asset returns over horizons of one to several trading days, this article introduces a new model for time series. This model is a generalization of the Markov normal mixture model in which the mixture components are themselves normal mixtures, and it is a specific case of an artificial neural network model with two hidden layers. The article uses the model to construct predictive distributions of daily S&P 500 returns 1971–2005 and one‐year maturity bond returns 1987–2007. For these time series the model compares favorably with ARCH and stochastic volatility models. The article concludes by using the model to form predictive distributions of one‐ to ten‐day returns during volatile episodes for the S&P 500 and bond return series. Copyright © 2010 John Wiley & Sons, Ltd.     

Tourism competitiveness of Italian municipalities

Quality & Quantity - The purpose of the paper is the study of tourism competitiveness and its determinants for the almost 8000 Italian municipalities. The partial least squares method...     

The demand for tobacco in post-unification Italy

This paper studies the demand for tobacco products in post-unification Italy. We construct a very detailed panel data set of yearly consumption in the 69 Italian provinces from 1871 to 1913 and use it to estimate the demand for tobacco products. We find support for the Becker and Murphy (J Polit Econ 96:675–700, 1988) rational addiction model. We also find that, in the period considered, tobacco was a normal good in Italy: aggregate tobacco consumption increased with income. Subsequently, we consider separately the four types of products which aggregate tobacco comprises (fine-cut tobacco, snuff, cigars, and cigarettes), and tentatively suggest that habit formation was a stronger factor on the persistence of consumption than physical addiction. The paper ends by showing that the introduction of the Bonsack machine in the early 1890s did not coincide with changes in the structure of the demand for tobacco, suggesting cost-driven technological change.