Integer valued AR (INAR) processes are perfectly suited for modelling count data. We consider the inclusion of explanatory variables into the INAR model to extend the applicability of INAR models and give an alternative to Poisson regression models. An efficient MCMC algorithm is constructed to analyze the model and incorporates both explanatory variable and order selection. The methodology is ...

Compositional explanatory variables should not be directly used in a linear regression model because any inference statistic can become misleading. While various approaches for this problem were proposed, here an approach based on the isometric logratio (ilr) transformation is used. It turns out that the resulting model is easy to handle, and that parameter estimation can be done like in usual ...

We study the implications of microeconomic heterogeneity for aggregate technology, showing that the aggregate elasticity of substitution between capital and labor can be expressed as a simple function of plant level structural parameters and sufficient statistics for plant heterogeneity. This allows for a new approach to estimating the aggregate elasticity using microeconomic data and allows us...

We propose a timescale decomposition approach to measurement-based admission control (MBAC). We identify a critical timescale f T h such that: 1) aggregate traac uctuation slower than f T h can be tracked by the admission controller and compensated for by ow admissions and departures; 2) uctuations faster than f T h have to be absorbed by reserving spare bandwidth on the link. The critical time...

Electricity is cited as one of the biggest impediments to firm growth in developing countries. In the World Bank Enterprise Survey (2006), 35.2% of Indian firms list electricity as the single biggest obstacle to business and report that power outages result in losses equivalent to 6.6% of annual sales. However, some businesses can adjust their means of production to cope with electricity shorta...

This paper evaluates the effects of job creation schemes on the participating individuals in Germany. Since previous empirical studies of these measures have been based on relatively small datasets and focussed on East Germany, this is the first study which allows to draw policy-relevant conclusions. The very informative and exhaustive dataset at hand not only justifies the application of a mat...