Economía de la Salud


Opciones: Vista Clásica

Use Monospaced Font
Por defecto enseñar Text Part
Esconda cabeceras de correo

Tema: [<< Primero] [< Prev] [Siguiente >] [Último >>]

Print Responder
Received: by LISTSERV.REDIRIS.ES (LISTSERV-TCP/IP release 16.0) with spool id 17331298 for [log in para visualizar]; Fri, 10 May 2019 17:18:52 +0200 from ( []) by (Postfix) with ESMTP id BEB3C22E12 for <[log in para visualizar]>; Fri, 10 May 2019 17:18:52 +0200 (CEST) from ( []) by (RedIRIS) with ESMTP id 0BB0A437EA2; Fri, 10 May 2019 17:17:03 +0200 (CEST)
Content-Type: text/plain; charset="UTF-8"
Date: Fri, 10 May 2019 17:18:52 +0200
Reply-To: Economía de la Salud <[log in para visualizar]>
Content-Transfer-Encoding: quoted-printable
Emisor: AES ECONSALUD <[log in para visualizar]>
Sender: Economía de la Salud <[log in para visualizar]>
Mime-Version: 1.0
Parts/Attachments: text/plain (26 lines)
International Doctoral Courses in Health Economics & Policy
Swiss School of Public Health +
JULY 8-12, 2019
Application Deadline: June 17, 2019

SCOPE: This course will arm you with tools to measure health inequality and to consider the normative implications of these measures. You will also become familiar with the theoretical and empirical literature in economics that seeks to explain socioeconomic disparities in health. We will introduce you to the analysis of equity in the distribution of health care and demonstrate how the tools of health inequality measurement can be used to make cost-effectiveness analysis equity-sensitive.

TARGET STUDENTS: The course is targeted at economists embarking on research on population health, as well as at researchers from the field of public health wishing to become competent in techniques used by economists to analyse inequality in health and healthcare. The material is also of interest to cost-effectiveness researchers that want to broaden their toolkit to equity-sensitive health economic evaluation.

FORMAT: Lectures introduce concepts, explain measures and models, and review evidence. Computing sessions, using STATA®, give students hands-on experience calculating measures, applying decomposition techniques and estimating models. Example STATA® do-files will be provided. Students will complete an assignment and present results on the final afternoon. The tentative course syllabus can be found here. Teaching is in English
PREREQUISITES: The course is open to research master students, PhD students, Postdocs and researchers with an interest in a quantitative approach to health inequality. Students should have done an intermediate course in statistics, be familiar with regression analysis and preferably have completed an intermediate course in microeconomics. Those with a public health background who have not previously followed a course in economics should be comfortable with statistical analysis. Familiarity with the statistical package STATA is an advantage.
LECTURERS:    Owen O’Donnell and Tom Van Ourti, Erasmus University Rotterdam.
FEES: The cost of the course is CHF500 for students and CHF1500 for professionals/industry. More details can be found here.
APPLICATIONS: Apply online here.
Questions? Please contact:  Nikola Jovanoski [log in para visualizar] or [log in para visualizar]