Home|Events|Contact Us|Cookies|My RSS
Search :   Go
spacer.gif
spacer.gif
spacer.gif
Events Calendar
Audio and Video
RSS online and virtual events
The Beveridge Memorial Lecture
Annual Conference
Conference Archive
Read Paper Meetings
Annual General Meeting
Education Events
Venue Hire
You are here : Events Diary : Events : View Event Details

Event Information

Start Time: 11 December 2012 17:00
End Time: 11 December 2012 19:30



Applications of multilevel models with country as a unit of analysis
at the Royal Statistical Society

Applications of multilevel models with countries as a unit of analysis

Vanessa Gash (City University)
The Social Consequences of Unemployment in Europe: a Two-Stage Multilevel Analysis

In this paper we examine the relationship between unemployment and social participation and aim to identify the role of national policies and attitudes as possible mediators. We use the 2006 EU-SILC module on social participation – a dataset that provides rich information on social participation for 24 EU countries. We adopt a two-stage multilevel design, allowing us to directly examine the impact of national policies and norms on individual outcome. The paper reveals clear evidence that the negative impact of unemployment on participation levels can be alleviated by macro-level factors. Societies where egalitarian ideals are held high have higher social participation rates amongst their unemployed.
 
Malcolm Fairbrother (University of Bristol)
Exploiting Space and Time in Multilevel Models: Applications to Climate Change and Religiosity

Multilevel/mixed models are routinely fitted to longitudinal data (with observations nested within units) and also to units nested within groups at a given point in time (such as respondents to a survey nested within their countries of residence). Increasing numbers of datasets in many fields of research are characterised by both types of clustering simultaneously. I present two useful techniques for analysing data with these characteristics. These techniques allow change over time in y to be a function of change over time in x and/or the time-invariant level of x. Simulation studies show that these techniques are generally robust even to the presence of complications that may arise with real-world data. I then demonstrate the kinds of insights they can provide, using applications to two very different topics: the relationships between climate and economic growth, and between social inequality and religiosity.
 
Ian Plewis (University of Manchester) will act as a discussant for the papers.

Register by email

Meeting organised by the RSS Social Statistics Section.

Meeting contact: Tarani Chandola




Join the RSS - Become part of an organisation working with some of the world's leading Statisticians

Non-RSS Events
 

If you have a non-RSS event you wish to include on the calendar please email Paul Gentry with details.