Longitudinal analysis - the importance of age, period and cohort effects
15 December 2016
University of Sheffield
This is a one-day hands-on training workshop led by Dr Andrew Bell, Sheffield Methods Institute, University of Sheffield.
Age, period and cohort (APC) are three ways in which things change over time; however they are exactly collinear, in that if we know an individual’s age and year of measurement, we can work out their birth year (age=period-cohort). This presents problems for any longitudinal analysis, because we cannot include all three APC terms in a statistical model without some kind of constraint. Yet if we fail to include all three terms in a model, we can radically mis-apportion affects: what can, for example, appear to be an age effect, could in fact be a combination of period and cohort effects.
This course will introduce the age-period-cohort identification problem, and what it means for longitudinal social science research. We will consider some supposed solutions to the identification problem, some old (such as the combining age categories) and some new (such as the hierarchical age-period-cohort model) and consider the extent to which these can and cannot produce accurate age-period-cohort estimates. Finally, we will consider what we can do as researchers interested in age, period and cohort effects. The course will be taught using the software package Stata.
To offer intensive training in age period and cohort effects and ways of modelling them, using Stata
Learn about the age-period-cohort identification problem, and what it means.
Learn how to use Stata to implement age period cohort models, and consider the extent to which these models work (or don’t work) effectively
Consider how models are sensitive to APC modelling assumptions
Consider appropriate methodologies for researchers interested in age, period and cohort effects.
Criteria for selection
Participants must have a good understanding of multiple regression modelling and inferential statistics, especially regression intercepts and slopes. Experience of the software package Stata, and/or experience of multilevel models, would be beneficial but not essential. As a check, participants should be comfortable with completing module 3 of the LEMMA online course, using Stata that can be found here: https://www.cmm.bris.ac.uk/lemma
About the Trainer:
Andy is a lecturer in Quantitative Social Sciences at the University of Sheffield, having completed his undergraduate degree at the University of Bristol. His current substantive research focuses on mental health from a life course perspective, but also spans a diverse range of other subject areas, including geography, political science, social epidemiology and economics. Methodologically, Andy’s interests are in the development and application of multilevel models, with work focusing on age-period-cohort analysis and fixed and random effects models.
This training course is offered free of charge to doctoral students registered on a social science degree programme at a Scottish University or to doctoral students studying at an ESRC-funded Doctoral Training Centre.
Remaining places will be open to others for a fee:
|Doctoral students studying at a non-DTC institution||£30|
|Academic staff, ESRC funded researchers and UK registered charitable organisations||£60|
Please note that AQMeN can only accept payment for training via the University of Edinburgh ePay system. We are unable to issue invoices or accept cheques for payment. All payments must be received within 14 days of a place being offered otherwise the place will be released. Payment should not be made until you have received confirmation that you have been allocated a place on the course.
There are 15 places available on the course and places will be allocated following a process of application. Please submit your application by 12 noon on 2nd December 2016. Successful applicants will be notified by 5th December 2016.
Travel and accommodation bursaries:
Doctoral students registered on a social science degree programme at a Scottish university or at an ESRC-funded DTC may be eligible to claim travel and/or accommodation costs to attend.
In order to be eligible for a bursary you must reside outside Sheffield and attend a university outside Sheffield. Reimbursement can only take place if you follow the reimbursement process detailed below and bursaries for eligible students will be capped at the following rates:
|Travel time (by rail) from Sheffield||Maximum Travel Contribution
|Up to 1 hour (travelling each day)||2 return trips @£25/trip = £50||NIL|
|Up to 1 hour(with accomodation)||1 return trip @£25/trip = £25||Up to 1 nights accomodation at maximum £60 per night|
|Up to 2 hours||1 return trip @£50/trip = £50||Up to 1 nights accomodation at maximum £60 per night|
|Over 2 hours||1 return trip @£100/trip = £100||Up to 1 nights accomodation at maximum £60 per night|
Students are responsible for arranging travel and/or accommodation (if applicable) themselves and will only be reimbursed upon presentation of original receipts (no photocopies or credit card receipts will be accepted) and completion of the relevant expense claim form which will be provided post-event.
AQMeN will not reimburse the following costs (unless agreed prior to the event):
- First class travel
- Meals or room service
- Inter-city travel (e.g. buses to and from event venue)
- Taxi fares
- Credit card fees
- Sundries (e.g.wireless internet access or newspapers at accommodation)
All expense claims and receipts must be received by the AQMeN office no later than 2 weeks following the last day of the event in order to be eligible for reimbursement.
Cancellation and Non-attendance:
By applying for this course, you are expected to attend for the full duration. Failure to attend all sessions (unless by prior agreement with the AQMeN core team) may result in a charge of £50 per day of the course missed, non-reimbursement of expenses and ineligibility to be considered for future AQMeN training courses and events.
If after receiving an allocated place on the course you are no longer able to attend, you must notify AQMeN as soon as possible to allow the place to be offered to someone on the waiting list. Failure to do so may result in a charge of £50 per day of the course, non-reimbursement of expenses and ineligibility to be considered for future AQMeN training courses and events.
Course fees are non-refundable. In exceptional cirumstances a refund may by permitted at the discretion of the AQMeN Research and Development Manager.
If you have any questions regarding the course, please feel free to contact firstname.lastname@example.org or + 44 (0) 131 650 2105