Dr Paulo Dias Costa Parente
Lecturer in Economics
Streatham Court, University of Exeter, Rennes Drive, Exeter, EX4 4PU, UK
Dr Parente has a BSc in Mathematics Applied to Economics and Management (5 year program) from the Technical University in Portugal, and a MSc in Economics (2 year program) from Nova University, also in Portugal. After working in the research department of the Portuguese National Statistics Institute for three years, he did a PhD in Economics at Warwick University. Before joining the Department of Economics of the University of Exeter Business School in 2008, Dr Parente was a Postdoctoral Research Fellow at the University of Cambridge and Assistant Professor at the University of Amsterdam.
BSc (Mathematics Applied to Economics and Business) (Technical University, Lisbon), MSc (Econ) (Nova University, Lisbon), PhD (Econ) (Warwick)
- Econometric theory
- Estimation and inference in Econometrics
- Hypothesis testing
- Model selection
Dr Parente’s research is in the area of Theoretical Econometrics. He has written articles on different aspects of inference and estimation in models in Economics. His work is focused not only on estimators such as the Generalised Method of moments and on alternative estimators based on divergence measures, but also on resampling methods. He has had articles published in The Econometrics Journal and Econometric Theory on these issues. The major benefit of this type of research is that it brings mathematical rigour to the analysis of relationships between economic variables and provides statistical tools that practitioners can easily implement in practice.
Dr Parente’s current research is focused on developing statistical tools for choosing between two or more economic models and also on resampling / simulation methods that allow estimation and inference in Time-Series models.
Publications by category
Publications by year
Dr Parente has taught courses in Econometrics and Statistics at BSc, MSc and PhD levels. The focus of his teaching has been to introduce students to quantitative techniques that will equip them with the skills needed to successfully tackle many of the statistical and econometric problems that occur in real life.
The more advanced modules that he teaches help students understand the underlying econometric theory that is important in order to make reasonable judgements about the methods to implement in applied econometric analysis.