Nonclassical measurement error with applications to labor and development issues

Zero correlation between measurement error and model error has been assumed in existing panel data models dealing specifically with measurement error. We extend this literature and propose a simple model where one regressor is mismeasured, allowing the measurement error to correlate with model error. Zero correlation between measurement error and model error is a special case in our model where correlated measurement error equals zero. We ask two research questions. First, we wonder if the correlated measurement error can be identified in the context of panel data. Second, we wonder if classical instrumental variables in panel data need to be adjusted when correlation between measurement error and model error cannot be ignored. Under some regularity conditions the answer is yes to both questions. We then propose a two-step estimation corresponding to the two questions. The first step estimates correlated measurement error from a reverse regression; and the second step estimates usual coefficients of interest using adjusted instruments.

Quantificació de l'error comès pels models de níxol ecològic al predir la distribució d'especies generalistes

Report for the scientific sojourn carried out at the University of California at Berkeley, from September to December 2007. Environmental niche modelling (ENM) techniques are powerful tools to predict species potential distributions. In the last ten years, a plethora of novel methodological approaches and modelling techniques have been developed. During three months, I stayed at the University of California, Berkeley, working under the supervision of Dr. David R. Vieites. The aim of our work was to quantify the error committed by these techniques, but also to test how an increase in the sample size affects the resultant predictions. Using MaxEnt software we generated distribution predictive maps, from different sample sizes, of the Eurasian quail (Coturnix coturnix) in the Iberian Peninsula. The quail is a generalist species from a climatic point of view, but an habitat specialist. The resultant distribution maps were compared with the real distribution of the species. This distribution was obtained from recent bird atlases from Spain and Portugal. Results show that ENM techniques can have important errors when predicting the species distribution of generalist species. Moreover, an increase of sample size is not necessary related with a better performance of the models. We conclude that a deep knowledge of the species’ biology and the variables affecting their distribution is crucial for an optimal modelling. The lack of this knowledge can induce to wrong conclusions.

Department of Health, Social Services and Public Safety Service Delivery Agreement (SDA) 2002-03. (PDF 80 KB)

Department of Health, Social Services and Public Safety Service Delivery Agreement (SDA) 2002-03.

Error estimate and control in the MSFV method for multiphase flow in porous media

n this paper the iterative MSFV method is extended to include the sequential implicit simulation of time dependent problems involving the solution of a system of pressure-saturation equations. To control numerical errors in simulation results, an error estimate, based on the residual of the MSFV approximate pressure field, is introduced. In the initial time steps in simulation iterations are employed until a specified accuracy in pressure is achieved. This initial solution is then used to improve the localization assumption at later time steps. Additional iterations in pressure solution are employed only when the pressure residual becomes larger than a specified threshold value. Efficiency of the strategy and the error control criteria are numerically investigated. This paper also shows that it is possible to derive an a-priori estimate and control based on the allowed pressure-equation residual to guarantee the desired accuracy in saturation calculation.

Community Pharmacy Contractor Agreement for Provision of Community Pharmacy Services Under the Health Act 1970

MEMORANDUM OF AGREEMENT BETWEEN THE DEPARTMENT OF HEALTH AND THE IRISH PHARMACEUTICAL UNION IN RESPECT OF THE PROVISION OF COMMUNITY PHARMACY SERVICES UNDER THE HEALTH ACT, 1970 Read the memorandum  

Public Service Agreement 2010 - 2014 (Croke Park Agreement) - Departmental Progress Report September 2011

1. Summary of Main Progress Achieved in the Six Month Period April 2011 to September 2011 ICT services and Accounts/Finance services are being provided by the Department to the new Department of Children and Youth Affairs on an ongoing basis.A Special Delivery Unit, as provided for in the Programme for Government, is currently being established.A survey of all staff workloads is currently underway to verify that all staff are appropriately deployed and utilised.   Click here to download PDF 46KB

Public Service Agreement 2010-2014 (Croke Park Agreement) - Departmental Progress Report - May 2011

Public Service Agreement 2010-2014 (Croke Park Agreement) – Departmental Progress Report – May 2011. Click here to download PDF 106KB

Public Service Agreement 2010 - 2014 (Croke Park Agreement): Departmental Action Plan

Public Service Agreement 2010 – 2014 (Croke Park Agreement): Departmental Action Plan Click here to download PDF 33KB

Public Service Agreement - Health Sector Progress Report and Savings - May 2011

Public Service Agreement – Health Sector Progress Report and Savings – May 2011 Click here to download PDF 4.69MB

Public Service Agreement - Health Sector Progress Report - October 2011

Public Service Agreement – Health Sector Progress Report – October 2011 Click here to download PDF 7.66MB

Non-Commercial State Agencies - Public Service Agreement Progress Report - October 2011

Non-Commercial State Agencies – Public Service Agreement Progress Report – October 2011 Click here to download PDF 35KB