The impact of local and external university knowledge on the creation of knowledge-intensive firms: evidence from the Italian case

This paper investigates how far in space university knowledge goes to breed the creation of knowledge-intensive firms (KIFs), depending on the nature (either codified or tacit) and quality of this knowledge. We consider the impact of knowledge codified in academic patents and scientific publications and tacit knowledge embodied in university graduates on KIF creation in Italian provinces in 2010, while distinguishing between local university knowledge created by universities located in the same province and external university knowledge created by universities located outside the province. Our econometric estimates indicate that the positive effects of scientific publications and university graduates are confined within the boundaries of the province in which universities are located. Conversely, the creation of new KIFs in a focal province is positively affected by both local and external university knowledge codified in academic patents, even though the positive effect of this external knowledge rapidly diminishes with geographic distance. Furthermore, the above effects are confined to high-quality universities; low-quality universities have little effect on KIF creation.     

Linear predictability vs. bull and bear market models in strategic asset allocation decisions: evidence from UK data

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets through careful selection of predictor variables that capture business cycles and market sentiment. Yet, a distinct literature exists that shows that non-linear econometric frameworks, such as Markov switching, are also natural tools to compute optimal portfolios arising from the existence of good and bad market states. This paper examines whether and how simple VARs can produce portfolio rules similar to those obtained under a simple Markov switching, by studying the effects of expanding both the order of the VAR and the number/selection of predictor variables included. In a typical stock-bond strategic asset allocation problem for UK data, we compute the out-of-sample certainty equivalent returns for a wide range of VARs and compare these measures of performance with those of non-linear models. We conclude that most VARs cannot produce portfolio rules, hedging demands or (net of transaction costs) out-of-sample performances that approximate those obtained from simple non-linear frameworks.     

A reduced lattice model for option pricing under regime-switching

We present a binomial approach for pricing contingent claims when the parameters governing the underlying asset process follow a regime-switching model. In each regime, the asset dynamics is discretized by a Cox–Ross–Rubinstein lattice derived by a simple transformation of the parameters characterizing the highest volatility tree, which allows a simultaneous representation of the asset value in all the regimes. Derivative prices are computed by forming expectations of their payoffs over the lattice branches. Quadratic interpolation is invoked in case of regime changes, and the switching among regimes is captured through a transition probability matrix. An econometric analysis is provided to pick reasonable volatility values for option pricing, for which we show some comparisons with the existing models to assess the goodness of the proposed approach.     

Can Linear Predictability Models Time Bull and Bear Real Estate Markets? Out-of-Sample Evidence from REIT Portfolios

A recent literature has shown that REIT returns contain strong evidence of bull and bear dynamic regimes that may be best captured using nonlinear econometric models of the Markov switching type. In fact, REIT returns would display regime shifts that are more abrupt and persistent than in the case of other asset classes. In this paper we ask whether and how simple linear predictability models of the vector autoregressive (VAR) type may be extended to capture the bull and bear patterns typical of many asset classes, including REITs. We find that nonlinearities are so deep that it is impossibile for a large family of VAR models to either produce similar portfolio weights or to yield realized, ex-post out-of-sample long-horizon portfolio performances that may compete with those typical of bull and bear models. A typical investor with intermediate risk aversion and a 5-year horizon ought to be ready to pay an annual fee of up to 5.7 % to have access to forecasts of REIT returns that take their bull and bear dynamics into account instead of simpler, linear forecast.     

Tax compliance under horizontal and vertical equity conditions: An experimental approach

Tax compliance is a complex phenomenon, which requires to be addressed from different perspectives. We report the results of a real-effort experiment aiming at testing the effect of different equity conditions on individual tax compliance levels. We show that equity considerations seem to change individual behaviour only when a vertically unfair tax system is implemented. Also, random effects Tobit estimations show that being audited in the previous period has a negative effect on tax evasion, whereas the level of the fine paid in the previous period positively affects income underreporting. Also, we find that when subjects are in the vertical inequity condition they are significantly more likely to fully evade taxes than in the equity condition, whereas such result cannot be found in the horizontal inequity condition. Finally, we find a standard gender effect showing that female participants are less likely to evade taxes than man and that risk aversion negatively affect tax evasion behaviour.     

Price integration in the Australian rock lobster industry: implications for management and climate change adaptation

Rock lobster fisheries are Australia's most valuable wild fisheries in terms of both value of production and value of exports. Different states harvest and export different lobster species, with most of the landings being sent to the Hong Kong market. A perception in the Australian lobster industry is that the different species are independent on the export market, such that a change in landings of one species has no impact on the price of the others. This study investigates the market integration of Australian exports to Hong Kong for the four species and different exporting states. Our results indicate all four species and producers/export states are perceived to be substitutes for one another, so that, in the long run, prices paid to operators in the industry will move together. The integrated nature of the Hong Kong export market for Australian lobster suggests that the potential impacts of alternative fisheries management and development strategies at state and species levels cannot be considered in isolation, at least from an economic perspective. In addition, impacts of external shocks affecting production in one state (e.g. climate change) can be expected to affect all Australian lobster fisheries.     

Recent Developments at DG Competition: 2013–2014

The Directorate General for Competition at the European Commission enforces competition law in the areas of antitrust, merger control, and state aids. In 2013–2014 important antitrust decisions (Samsung and Motorola) were in the area of standard essential patents. In merger control the European Commission carried out an ex-post evaluation of past mergers in the INEOS/Solvay case in order to obtain valuable insights for the merger under review. In state aid, as a part of the State Aid Modernisation programme, guidelines were prepared to help EU member states to design and carry out ex post assessments of state aid schemes.     

Using surveys of business perceptions as a guide to growth‐enhancing fiscal reforms

This paper assesses the merits of using business perceptions of growth constraints as a guide to growth‐enhancing fiscal policy reforms. Using endogenous growth models in which the government levies an income tax to provide public inputs to the production of private firms, the paper demonstrates that such perceptions of growth constraints may be misleading from a policy perspective. In particular, firms can be expected to systematically overestimate the growth‐enhancing effects of lower tax rates relative to public services and public capital, and underestimate the growth‐enhancing effects of greater provision of public capital relative to taxation and public services. In addition, we show that firms rank different public services and different types of public capital according to the actual costs they impose on firms. It is then shown that these theoretical predictions regarding how firms rank constraints correspond closely to the observed ranking of constraints by firms in the World Bank's Enterprise Surveys.