BENCHMARKING LARGE ACCOUNTING FRAMEWORKS: A GENERALIZED MULTIVARIATE MODEL

We present a multivariate benchmarking model for achieving consistency between large quarterly and annual accounting frameworks. The method is based on a quadratic optimization problem, for which many efficient numeric solvers exist. The method combines several features, such as linear constraints, ratio constraints, weights, and inequalities, in one model. Therefore, a wide range of modelling possibilities is supported. This method is especially interesting for national statistical offices, to simplify their processes to achieve consistency between publications.     

Nieuwe mijnwetgeving voor Nederlandsch-Indië

Zandvoort, September 1903ONTWERP van een ordonnantie tot regeling van dit onderwerp, met Toelichting. Op machtiging der Regeering nitgegeven ter Landsdrukkerij te Batavia.     

Forensic identification: the island problem and its generalisations

In forensics it is a classical problem to determine, when a suspect S shares a property Γ with a criminal C, the probability that S = C. In this article we give a detailed account of this problem in various degrees of generality. We start with the classical case where the probability of having Γ, as well as the a priori probability of being the criminal, is the same for all individuals. We then generalize the solution to deal with heterogeneous populations, biased search procedures for the suspect, Γ‐correlations, uncertainty about the subpopulation of the criminal and the suspect, and uncertainty about theΓ‐frequencies. We also consider the effect of the way the search for S is conducted, in particular when this is done by a database search. A returning theme is that we show that conditioning is of importance when one wants to quantify the ‘weight’ of the evidence by a likelihood ratio. Apart from these mathematical issues, we also discuss the practical problems in applying these issues to the legal process. The posterior probabilities of C = S are typically the same for all reasonable choices of the hypotheses, but this is not the whole story. The legal process might force one to dismiss certain hypotheses, for instance when the relevant likelihood ratio depends on prior probabilities. We discuss this and related issues as well. As such, the article is relevant both from a theoretical and from an applied point of view.     

Consistent estimation of percolation quantities

We consider ordinary independent percolation on the integer lattice, and construct consistent estimators for most of the important quantities associated to this model. We also present some simulation results.     

How useful is the PSE in determining agricultural support?

The support of the agricultural sector in developed countries plays a major role in the international policy agenda. The producer support estimate (PSE) is one of the best known measures which has been developed by OECD and is used all over the globe. In the PSE all types of support are aggregated and one of the main components (70% at OECD level) is the market price support (MPS). Here we show by means of characteristic examples that the MPS has no clear relation to basic economic measures determining support for producers as a consequence of policy intervention. The MPS overestimates the consequences of tariffs and export subsidies and underestimates the consequences of quota systems in determining producer support. Misperception of the size and directions of support may affect policy decision-making wrongly. The paper indicates that weighted average producer prices, corrected for quantity restrictions, may be more useful than the reference prices and quantities used by OECD.