The wild bootstrap was originally developed for regression models with heteroskedasticity of unknown form. Over the past thirty years, it has been extended to models estimated by instrumental variables and maximum likelihood, and to ones where the error terms are (perhaps multi-way) clustered....

We suggest that the proximity of a country to other countries is a factor that affects its choice as an MNE location. We introduce the concept of a country's proximity to the global distribution of knowledge, markets and resources, and frame this concept as a function of both geographic distance...

Sorting and spillovers can create correlation in individual outcomes. In this situation, standard discrete choice estimators cannot consistently estimate the probability of joint and conditional events, and alternative estimators can yield incoherent statistical models or intractable estimators....

In this paper, we compare the performance of two non-parametric methods of classification, Regression Trees (CART) and the newly Multivariate Adaptive Regression Splines (MARS) models, in forecasting bankruptcy. Models are implemented on a large universe of US banks over a complete market cycle...

We study the role played by geographical distance in the peering decisions between Internet Service Providers. Firstly, we assess whether or not the Internet industry shows clustering in peering; we then concentrate on the dynamics of the agglomeration process by studying the effects of...

We study the internationalisation process in a representative sample of 786 firms in the Italian automotive supply chain. Most of these firms have agglomerated in the Turin industrial district, the cradle of FIAT, the dominant Italian car-maker and one of the global players in the automotive...

This paper analyzes the effects of geographical proximity and agglomeration of FDIs (foreign direct investments) on domestic firms in the privatized glass sector in the Czech Republic. The motivation for this research is based on the scant evidence in Central and Eastern Europe of the effects of...

This paper introduces a method which permits valid inference given a finite number of heterogeneous, correlated clusters. Many inference methods assume clusters are asymptotically independent or model dependence across clusters as a function of a distance metric. With panel data, these...

Fixed effects panel data models are not immune to problems caused by nonstationarity. Using Monte Carlo experiments, we find that OLS standard errors invariably fail to generate significance tests with correct size when either or both of the regressors are I(1). Clustered standard errors...

This paper evaluates the R&D enhancing effects of two large public grant schemes for the German biotechnology industry (BioRegio, BioProfile). Both grant schemes are organized in the form of contents for cooperation with the goal to foster the performance of innovative firms by their...