Is geographical proximity necessary for knowledge spillovers within a cooperative technological network? The case of the French biotechnology sector, Regional Studies. The models of the geography of innovation do not take into account the channels for spillovers diffusion. The main interest of...

In this paper we analyse the role of learning through experience in Research and Development (R&D) activities in strengthening firms’ capabilities to achieve innovation outcomes. Using a production function approach, we estimate a count-data model using a panel dataset of Spanish manufacturing...

Increasing crime rates invariably result in calls for more police protection which requires the allocation of additional scarce resources to policing and public order. In an environment of fiscal pressures, the effectiveness of such public spending in deterring crime emerges as an important...

Most existing empirical evidences on the impact of profit taxation on multinational firm activity are based on cross-country data. One major drawback of such data is that countries differ not only with regard to taxes but also with other dimensions which might be hard to capture by means of...

This paper develops stochastic search variable selection (SSVS) for zero-inflated count models which are commonly used in health economics. This allows for either model averaging or model selection in situations with many potential regressors. The proposed techniques are applied to a data set...

In response to increasing health expenditures and a high number of physician visits, the German government introduced a copayment for ambulatory care in 2004 for individuals with statutory health insurance (SHI). Because persons with private insurance were exempt from the copayments, this health...

In several scientific fields, such as finance, economics and bioinformatics, important theoretical and practical issues exist involving multimodal and asymmetric count data distributions due to heterogeneity of the underlying population. For accurate approximation of such distributions we...

We develop a model to account for the long memory property in a bivariate count data framework. We propose a bivariate integer-valued fractional integrated (BINFIMA) model and apply the model to high frequency stock transaction data. The BINFIMA model allows for both positive and negative...

During the last decades there has been a widespread relaxation of legal entry barriers into the banking industry, with potential benefits for financial integration and competition. Obstacles to banks' geographical and business expansion have been removed and branching has been substantially...

When event data are retrospectively reported, more temporally distal events tend to get “heaped” on even multiples of reporting units. Heaping may introduce a type of attenuation bias because it causes researchers to mismatch time-varying right-hand side variables. We develop a model-based...