This paper addresses two issues. Firstly, because the coarse­scale model inevitably misses out sub­grid heterogeneity, physical dispersion is ignored in the simulation. Secondly, the small­scale heterogeneity is not explicitly known and can only be inferred by history­matching. To solve these problems, local features in the coarse­scale relative permeability curves were adjusted in history­matc...

This paper uses a field experiment to test whether intrahousehold heterogeneity in discount factors leads to inefficient strategic savings behavior. I gave married couples in rural Kenya the opportunity to open both joint and individual bank accounts at randomly assigned interest rates. I also directly elicited discount factors for all individuals in the experiment. Couples who are well matched...

This paper investigates the design and performance of equity auctions— auctions in which bidders pay with equities instead of cash. Such equity auctions arise in many economic situations including mergers and acquisitions, venture capital financing, and oil and gas lease auctions. Among all incentivecompatible mechanisms of equity auctions, I identify the mechanism that maximizes the seller’s e...

Two types of diagnostics are presented for the transformation of explanatory variables in regression. One is based on the likelihood displacement proposed by Cook and Weisberg (1982) for assessing the in uence of individual cases on the maximum likelihood estimate of a transformation parameter. The other is based on the local in uence theory proposed by Cook (1986) for assessing the in uence of...

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...

Characterizing the spatial distribution of hedgerows over landscapes is important for understanding the effects of this distribution on the dynamics of plant and animal populations. Because hedgerows are planted or managed, the authors hypothesized that their distribution depends on the presence of other linear landscape elements, namely, roads and channels. Using proximity analyses, the author...

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 ...