Friedland03.Data

Reading: Friedland, J.F., Estimating Unpaid Claims Using Basic Techniques, Casualty Actuarial Society, Third Version, July 2010. The Appendices are excluded.

Chapter 3: Understanding the Types of Data Used in the Estimation of Unpaid Claims

Study Tips

There is a lot of good, basic information in this chapter but aside from a few key facts to memorize, it isn't something you can fully absorb on your first pass. You are probably familiar with some of it anyway from your work duties. So don't spend too long here – you can always refer back when necessary. Among the facts you have to memorize are:

• advantages/disadvantages of various data aggregation methods (CY, AY, RY, PY)

BattleTable

Based on past exams, the main things you need to know (in rough order of importance) are:

• fact A...
• fact B...

reference	part (a)	part (b)	part (c)	part (d)
E (2019.Spring #13)	combining data: - argue for	combining data: - argue against	rate recommendation: - provide comment
E (2017.Spring #14)	wrong chapter - move to 7
E (2016.Fall #17)	data for analysis: - compare strategies
E (2016.Spring #15)	Friedland05.Triangles	data aggregation: - is CY appropriate?	data aggregation: - is AY appropriate?	Friedland07.Development
E (2015.Fall #14)	Friedland07.Development	Friedland07.Development
E (2015.Fall #15)	large claim thresold: - selection considerations	Friedland09.BornFerg
E (2015.Fall #16)	Friedland05.Triangles	data aggregation: - RY versus AY