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	<title>Theta graph - Revision history</title>
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	<updated>2026-04-18T13:11:33Z</updated>
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		<id>https://en.formulasearchengine.com/index.php?title=Theta_graph&amp;diff=10583&amp;oldid=prev</id>
		<title>en&gt;Gbint: Added small introduction to half-\Theta graphs</title>
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		<updated>2013-04-09T19:58:01Z</updated>

		<summary type="html">&lt;p&gt;Added small introduction to half-\Theta graphs&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;In [[econometrics]], the &amp;#039;&amp;#039;&amp;#039;Frisch–Waugh–Lovell (FWL) theorem&amp;#039;&amp;#039;&amp;#039; is named after the econometricians [[Ragnar Frisch]], Frederick V. Waugh, and Michael C. Lovell.&lt;br /&gt;
&lt;br /&gt;
The Frisch–Waugh–Lovell theorem states that if the [[linear regression|regression]] we are concerned with is:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; Y = X_1 \beta_1 + X_2 \beta_2 + u \! &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt; X_1 &amp;lt;/math&amp;gt;  and &amp;lt;math&amp;gt; X_2 &amp;lt;/math&amp;gt; are &amp;lt;math&amp;gt; n \times k_1 &amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt; n \times k_2 &amp;lt;/math&amp;gt; respectively and where &amp;lt;math&amp;gt; \beta_1 &amp;lt;/math&amp;gt; and &amp;lt;math&amp;gt; \beta_2 &amp;lt;/math&amp;gt; are [[conformable matrix|conformable]], then the estimate of &amp;lt;math&amp;gt; \beta_2 &amp;lt;/math&amp;gt; will be the same as the estimate of it from a modified regression of the form:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; M_{X_1} Y = M_{X_1} X_2 \beta_2 + M_{X_1} u \!, &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &amp;lt;math&amp;gt; M_{X_1} &amp;lt;/math&amp;gt; projects onto the [[orthogonal complement]] of the image of the [[projection matrix]] &amp;lt;math&amp;gt; X_1(X_1&amp;#039;X_1)^{-1}X_1&amp;#039; &amp;lt;/math&amp;gt;.  Equivalently, &amp;#039;&amp;#039;M&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;&amp;#039;&amp;#039;X&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;&amp;lt;/sub&amp;gt; projects onto the [[orthogonal complement]] of the column space of&amp;amp;nbsp;&amp;#039;&amp;#039;X&amp;#039;&amp;#039;&amp;lt;sub&amp;gt;1&amp;lt;/sub&amp;gt;.  Specifically,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt; M_{X_1} = I - X_1(X_1&amp;#039;X_1)^{-1}X_1&amp;#039;. \! &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This result implies that all these secondary regressions are unnecessary: using projection matrices to make the explanatory variables orthogonal to each other will lead to the same results as running the regression with all non-orthogonal explanators included.&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
*{{cite journal |first=Ragnar |last=Frisch |first2=Frederick V. |last2=Waugh |title=Partial Time Regressions as Compared with Individual Trends |journal=[[Econometrica]] |volume=1 |issue=4 |year=1933 |pages=387–401 |jstor=1907330 }}&lt;br /&gt;
*{{cite journal |last=Lovell |first=M. |year=1963 |title=Seasonal Adjustment of Economic Time Series and Multiple Regression Analysis |journal=[[Journal of the American Statistical Association]] |volume=58 |issue=304 |pages=993–1010 |doi=10.1080/01621459.1963.10480682 }}&lt;br /&gt;
*{{cite journal |last=Mitchell |first=Douglas W. |title=Invariance of results under a common orthogonalization |journal=Journal of Economics and Business |volume=43 |issue=2 |year=1991 |pages=193–196 |doi=10.1016/0148-6195(91)90018-R }}&lt;br /&gt;
*{{cite journal |last=Lovell |first=M. |year=2008 |title=A Simple Proof of the FWL Theorem |journal=[[Journal of Economic Education]] |volume=39 |issue=1 |pages=88–91 |doi=10.3200/JECE.39.1.88-91 }}&lt;br /&gt;
&lt;br /&gt;
{{DEFAULTSORT:Frisch-Waugh-Lovell theorem}}&lt;br /&gt;
[[Category:Econometrics]]&lt;br /&gt;
[[Category:Economics theorems]]&lt;br /&gt;
[[Category:Regression analysis]]&lt;br /&gt;
[[Category:Statistical theorems]]&lt;/div&gt;</summary>
		<author><name>en&gt;Gbint</name></author>
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