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  • 8/18/2019 Holler 1

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     Personal Lines Actuarial Research Department 

    Generalized Linear Models

    CAGNY

    Wednesday, November 28, 2001

    Keith D. Holler

    Ph.D., FCA, AA, A!", "AAA

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     Personal Lines Actuarial Research Department 

    Hi#h $evel

    e.#. %ye Color  A#eWei#htCo&&ee i'e

    (iven Chara)teristi)s*

    Predi)t !es+onse*

    e.#. Probability someone taes Friday o&&, #iven it-s

    snny and /0

    e.#. %+e)ted amont s+ent on ln)h

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     Personal Lines Actuarial Research Department 

    Personal ato or H.4. )lass +lans

    Ded)tible or 5$F severity models

    $iability non6e)onomi) )laim settlement amont

    Hrri)ane dama#e )rves7Dire)t mail res+onse and )onversion7

    Poli)yholder retention7

    WC transition &rom ".4. to $..7

    Ato +hysi)al dama#e total loss identi&i)ation7

    Claim dis+osal +robabilities7

    5nsran)e %am+les

    7 $o#isti) !e#ression

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     Personal Lines Actuarial Research Department 

    %am+le : Personal Ato$o# ;$oss Cost< = 5nter)e+t Driver Car 

      A#e i'e

      Fa)tor i Fa)tor >

    Driver A#e Car i'e

    5nter)e+t ?on# 4lder mall "edim $ar#e

    @.0 ./ 0 .0 .20 0

    e.#. ?on# Driver, $ar#e Car 

    $oss Cost = e+ ;@.0 ./ 0< = B1,908

    Parameters

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     Personal Lines Actuarial Research Department 

     

    e)hni)al its

    1. %+onential &amilies : #amma, +oisson, normal, binomial

    2. Fit +arameters via maimm lielihood

    3. olve "$% by 5!$ or Neton6!a+hson9. $in Fn)tion ;e.#. $o# $oss Cost<

    i. 161 &n)tion

    ii. !an#e Predi)ted Eariable ; 6∞ , ∞ <

    iii. $N mlti+li)ative model, id additive model

    lo#it binomial model ;yesno<

    . Di&&erent means, same s)ale

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     Personal Lines Actuarial Research Department 

    Personal Ato Class Plan 5sses*

    1. erritories or other many level variables

    2. Ded)tibles and $imits

    3. $oss Develo+ment

    9. rend

    . FreGen)y, everity or Pre Premim

    @. %+osre

    /. "odel ele)tion : +enali'ed lielihood an o+tion

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     Personal Lines Actuarial Research Department 

    Why ($"

    1. "ltivariate : ad>sts &or +resen)e o& other variables. No

    overla+.

    2. For non6normal data, ($" better than 4$.3. Pre+ro#rammed : easy to rn, &leible model str)tres.

    9. "aimm lielihood allos testin# im+ortan)e o& variables.

    . $inear str)tre allos balan)e beteen amont o& data and

    nmber o& variables.

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     Personal Lines Actuarial Research Department 

    o&tare and !e&eren)es

    o&tare* A, ($5", P$I, %"$%",

    (%NA, "A$A, AA, P

    !e&eren)es* Part J +a+er biblio#ra+hy(re# aylor ;!e)ent Astin<

    te+hen "ildenhall ;1JJJ<

    Hosmer and $emesho

    Farroh (iahi ;ne 2000<Karl P. "r+hy ;Winter 2000