a Deadline

Wednesday, 11/15/2017.   ARCHIVED EVENT

This call is for one-page abstracts for paper presentations at a Feb 23, 2018 workshop of about 30 invited participants to be held at USC. The workshop, “Adult Mortality Determinants in Low and Middle Income Countries and Comparisons with High Income Countries,” is designed to share leading research methods and findings on comparative patterns of adult mortality risk factors in low- and middle-income countries (LMIC). The goal is to build a robust evidence base for understanding the drivers of cross-national mortality and health expectancy patterns, especially in populations with unusually high or low adult mortality. The newly expanded availability of longitudinal HRS-type surveys in LMIC make this an opportune time to gather a network of researchers using such data to study mortality patterns, in order to share innovative methods, new results, and ideas for the most promising research agenda going forward.

We solicit abstracts for papers using longitudinal data from one or more LMIC, particularly from harmonized HRS family studies in China (CHARLS), Costa Rica (CRELES), Ghana (SAGE), Korea (KLOSA), Indonesia (IFLS), Mexico (MHAS), and South Africa (SAGE). We also encourage use of other LMIC micro-data with mortality follow-ups, e.g. from Taiwan (SEBAS), China (CLHLS), South Africa (HAALSI), and elsewhere, as well as comparisons with data from higher income countries such as the US (HRS), Japan (JSTAR or NUJLSOA), England (ELSA), and Europe (SHARE).

For data sources, see link to the Global Aging Data website below.

Abstracts must be submitted by November 15, 2017 to jungk@usc.edu and evasile@berkeley.edu. For inquiries about topical areas please contact Will Dow wdow@berkeley.edu and Eileen Crimmins Crimmin@usc.edu.

The sponsors will cover hotel accommodations and meals during the workshop. Participants should be prepared to bear other costs associated with travel to the conference.

For further information, contact Jung Ki Kim at USC: jungk@usc.edu.

Related Material:

Global Aging Data website