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    <title>topic Price Elasticity at customer level in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Price-Elasticity-at-customer-level/m-p/239853#M12691</link>
    <description>&lt;P&gt;Has anyone worked on Price Elasticity model at customer level? In Insurance Industry,&amp;nbsp;insurance policies from a insurer that have been given a renewal offer in the period of 2 years&amp;nbsp;are taken. Target Variable: (Binary) whether a customer renew an existing insurance contract or policy? I have read somewhere they generally use&amp;nbsp;the treatment -&amp;nbsp;the rate change: percentage change in&lt;BR /&gt;premium from the current to the new rate, categorized into&amp;nbsp;ordered values. My question - How price elasticity would be calculated give it's a logistic regression model (binary)?&amp;nbsp; How can model help in finding the customers which are more sensitive toward policy premium changes?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any help would be highly appreciated!&lt;/P&gt;</description>
    <pubDate>Thu, 17 Dec 2015 21:17:57 GMT</pubDate>
    <dc:creator>Ujjawal</dc:creator>
    <dc:date>2015-12-17T21:17:57Z</dc:date>
    <item>
      <title>Price Elasticity at customer level</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Price-Elasticity-at-customer-level/m-p/239853#M12691</link>
      <description>&lt;P&gt;Has anyone worked on Price Elasticity model at customer level? In Insurance Industry,&amp;nbsp;insurance policies from a insurer that have been given a renewal offer in the period of 2 years&amp;nbsp;are taken. Target Variable: (Binary) whether a customer renew an existing insurance contract or policy? I have read somewhere they generally use&amp;nbsp;the treatment -&amp;nbsp;the rate change: percentage change in&lt;BR /&gt;premium from the current to the new rate, categorized into&amp;nbsp;ordered values. My question - How price elasticity would be calculated give it's a logistic regression model (binary)?&amp;nbsp; How can model help in finding the customers which are more sensitive toward policy premium changes?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any help would be highly appreciated!&lt;/P&gt;</description>
      <pubDate>Thu, 17 Dec 2015 21:17:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Price-Elasticity-at-customer-level/m-p/239853#M12691</guid>
      <dc:creator>Ujjawal</dc:creator>
      <dc:date>2015-12-17T21:17:57Z</dc:date>
    </item>
    <item>
      <title>Re: Price Elasticity at customer level</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Price-Elasticity-at-customer-level/m-p/240278#M12714</link>
      <description>&lt;P&gt;Hmm.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;I never really thought about this before. &amp;nbsp; Here's an idea for price elasticity:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;a) compute the parameters of your logitstic regression.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For each person in your sample:&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;b) predict the probability that someone will renew at Price = &amp;nbsp; &amp;nbsp;Price &amp;nbsp; based on that person's &amp;nbsp;characteristics &amp;nbsp;.This is quantity B&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;c) predict the probability that someone will renew at Price = &amp;nbsp; &amp;nbsp;Price - 0.5% &amp;nbsp; &amp;nbsp;based on that person's &amp;nbsp;characteristics&lt;SPAN&gt;&amp;nbsp;.This is quantity C.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;d) predict the probability that someone will renew at Price = &amp;nbsp; &amp;nbsp;Price + 0.5% &amp;nbsp; &amp;nbsp;&amp;nbsp;based on that person's characteristics&amp;nbsp;.This is quantity D.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;e)The quantity demanded for that person increases by &amp;nbsp; (C-D)/ B percent &amp;nbsp;for each 1% price drop. &amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Average the amount obtained in e) &amp;nbsp;over your whole population to get average price elasticity.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;------------- regarding the "finding which customers are more sensible to price changes", you would need to interact the "price" variable with other variables.&lt;/P&gt;
&lt;P&gt;For example, you could have &amp;nbsp;"price" variable &amp;nbsp;and "price * binary male=1" variable &amp;nbsp; &amp;nbsp; &amp;nbsp;If the coefficient for "price*male" is greater than 0, then men are more sensitive to price than women.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 21 Dec 2015 20:56:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Price-Elasticity-at-customer-level/m-p/240278#M12714</guid>
      <dc:creator>morglum</dc:creator>
      <dc:date>2015-12-21T20:56:56Z</dc:date>
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