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Semi-Parametric Econometric Models: Health, Obesity and Patient Expenditures

Total Cost €


EC-Contrib. €






Project "SPEM" data sheet

The following table provides information about the project.


Organization address
postcode: YO10 5DD

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2019-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF YORK UK (YORK NORTH YORKSHIRE) coordinator 183˙454.00


 Project objective

Econometric modelling of healthcare costs serves many purposes: to obtain key parameters in cost-effectiveness analyses; to implement risk adjustment in insurance systems; and to examine the impact of risk factors such as smoking and obesity. Modelling healthcare costs is challenging because the cost data are typically non-negative, heavy tailed and highly skewed.

Filling the gap in the literature: SPEM will develop an ambitious research programme that simultaneously meet these conditions: (1) no need for retransformation of costs; (2) be able to estimate both the conditional mean and the whole distribution; (3) no need to differentiate zero costs from positive costs; (4) be less parametric and more flexible; and (5) be able to accommodate panel data. Such a method does not exist in the literature. Another highlight of SPEM is that the new method will be used for out-of-sample prediction and full distributional analysis which are typically not considered in the semiparametric framework.

Promoting more informed decision making: SPEM will produce accurate and robust estimates of the relationship between childhood obesity and healthcare costs, which are crucial in the design and evaluation of government programmes aimed at treating and preventing childhood obesity. This will be achieved through an empirical application. The Longitudinal Study of Australian Children (6 waves: 2004-2014) and linked records from Medicare will be used to investigate the relationship between childhood obesity and healthcare costs.


year authors and title journal last update
List of publications.
2019 Rajan Sharma, Yuanyuan Gu, Kompal Sinha, Mona Aghdaee, Bonny Parkinson
Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children
published pages: 2429-2441, ISSN: 0962-9343, DOI: 10.1007/s11136-019-02220-x
Quality of Life Research 28/9 2020-01-29

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The information about "SPEM" are provided by the European Opendata Portal: CORDIS opendata.

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