947 resultados para PROBABILISTIC FORECASTS
Resumo:
The Iowa Department of Administrative Services - Human Resources Enterprise (DAS-HRE) has developed a variety of tools and resources to address those concerns. Loss of institutional knowledge, or knowledge transfer as it is more frequently referred to, is one of the main topics of the Workforce Planning Guide. Potential difficulties finding new workers was one of the major reasons for adding a chapter on recruitment in the Applicant Screening Manual.
Resumo:
This paper fills a gap in the existing literature on least squareslearning in linear rational expectations models by studying a setup inwhich agents learn by fitting ARMA models to a subset of the statevariables. This is a natural specification in models with privateinformation because in the presence of hidden state variables, agentshave an incentive to condition forecasts on the infinite past recordsof observables. We study a particular setting in which it sufficesfor agents to fit a first order ARMA process, which preserves thetractability of a finite dimensional parameterization, while permittingconditioning on the infinite past record. We describe how previousresults (Marcet and Sargent [1989a, 1989b] can be adapted to handlethe convergence of estimators of an ARMA process in our self--referentialenvironment. We also study ``rates'' of convergence analytically and viacomputer simulation.