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    <title>topic Re: 2 stage regression in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/2-stage-regression/m-p/116410#M6104</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If you have access to the SAS/Econometrics and Time Series module, PROC MODEL should be able to fit this two-stage instrumental variable nonlinear model.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sun, 23 Jun 2013 21:38:41 GMT</pubDate>
    <dc:creator>1zmm</dc:creator>
    <dc:date>2013-06-23T21:38:41Z</dc:date>
    <item>
      <title>2 stage regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/2-stage-regression/m-p/116409#M6103</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;Hello,&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;I am running a logit regression, while because my dependent variable and &lt;SPAN style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;my independent variable &lt;/SPAN&gt;are&amp;nbsp; affecting each other simultaneously&amp;nbsp; , which is (as I understood ) the problem of endogeneity, I have to use instrumental variable, which I have to estimate by OLS.&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;would you please help me how can I do it in SAS?&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;My main regression is logit, and the regression for Instrumental variable is OLS.&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;for more explanation;my model is like following:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;adoption_new_technology(dummy)= a1*(age)+a2*(education)+a3*(job)+ a4*(interest_buy_insurance)&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;here if some one is adopted to new technology, it will affect his decision on buying insurance. here we have indogeneity in " interest_buy_insurance "&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;&lt;/P&gt;&lt;P style="font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;Thanks&lt;/P&gt;&lt;H1 style="font-size: 26px; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif; background-color: #ffffff;"&gt;&lt;/H1&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 23 Jun 2013 13:28:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/2-stage-regression/m-p/116409#M6103</guid>
      <dc:creator>H_G</dc:creator>
      <dc:date>2013-06-23T13:28:19Z</dc:date>
    </item>
    <item>
      <title>Re: 2 stage regression</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/2-stage-regression/m-p/116410#M6104</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If you have access to the SAS/Econometrics and Time Series module, PROC MODEL should be able to fit this two-stage instrumental variable nonlinear model.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 23 Jun 2013 21:38:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/2-stage-regression/m-p/116410#M6104</guid>
      <dc:creator>1zmm</dc:creator>
      <dc:date>2013-06-23T21:38:41Z</dc:date>
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