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      <title>ECN 5121 6 Sep 2016 by Ashadi Ramly</title>
      <link>https://padlet.com/ashadiramly/iaklrq41vzbp</link>
      <description>SUMMARY NOTES BASIC ECONOMETRICS - GUJARATI PORTER</description>
      <language>en-us</language>
      <pubDate>2016-09-07 02:16:56 UTC</pubDate>
      <lastBuildDate>2023-02-02 21:00:56 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>What is ECONOMETRICS</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121988178</link>
         <description><![CDATA[<div>Literal : Economic Measurement<br>Technical : as the <strong>Social Science</strong> in which the <strong>tools</strong> of <strong>Economic Theory, Mathemetics &amp; Statistical </strong>inference are applied to the <strong>analysis of economic phenomena</strong></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 02:19:38 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121988178</guid>
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      <item>
         <title>WHY A SEPARATE DISCIPLINE</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121988624</link>
         <description><![CDATA[<div>1.<strong>Econometrics v Economic Theory</strong></div><div>-<strong> econometric is to provide numerical estimates (empirical content) to economic theory</strong><br>- economic theory is a statements/hypothesis that is mostly qualitative in nature<br>2.<strong>Econometrics v Mathematical Economics</strong><br>- <strong>econometrics uses the mathematical equations for empirical testing.</strong><br>- mathematical economics is only expressing economic theory in mathematical form without regard to measurability/empirical verification of the theory<br>3.<strong>Econometrics v Statistical Economy</strong><br>- econometrics using the collected data/ economic statistics for empirical studies<br>- a statistical economy is concerned with collecting, processing and presenting economic data in the form of charts and tables.<br>4. Econometrics <strong>dealing with data that cannot be controlled directly and needs special methods</strong> in view of the unique nature of most economic data unlike mathematical statistics.</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 02:23:04 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121988624</guid>
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      <item>
         <title>METHODOLOGY - 8 STEPS</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121990402</link>
         <description><![CDATA[<div> </div>]]></description>
         <enclosure url="https://padletuploads.blob.core.windows.net/aws/129319942/63bd61d7d3a0c9b0b8dc381660b3e60a/STEPS_of_econometrics.docx" />
         <pubDate>2016-09-07 02:35:27 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121990402</guid>
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      <item>
         <title>TYPES OF ECONOMETRICS</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121993586</link>
         <description><![CDATA[<div><strong>Theoretical v Applied</strong><br><br>Theoretical : concerned with the<strong> development of appropriate methods </strong>for measuring economic relationship specified by economic models<br><br>Applied : <strong>use the tools</strong> of theoretical to study some special field of economics and business<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:04:51 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121993586</guid>
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      <item>
         <title>REGRESSION ANALYSIS</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994060</link>
         <description><![CDATA[<div>Literal : move or regress towards the average in the population as a whole<br>Technical : is concerned with the study of the <strong>dependence variable (DV)</strong> on one or more other variables <strong>(explanatory / independent variables (IV)</strong>; with a view to <strong>estimating the population average/mean </strong>value DV in terms of the known/fixed values of IV&nbsp;</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:10:22 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994060</guid>
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      <item>
         <title>STATISTICAL V DETERMINISTIC RELATIONSHIP</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994575</link>
         <description><![CDATA[<div>Statistical : deal with random (stochastic) variables; variables that have probability distribution<br><br>Deterministic : deal with variables are not random</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:17:03 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994575</guid>
      </item>
      <item>
         <title>REGRESSION V CAUSATION</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994830</link>
         <description><![CDATA[<div>Regression is a statistical relationship and it does not necessarily imply causation (the action of causing something)</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:19:21 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994830</guid>
      </item>
      <item>
         <title>REGRESSION V CORRELATION</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994986</link>
         <description><![CDATA[<div>Regression : is to estimate / predict average value of one variable on the basis of the fixed values of other variables; not primarily interested to measure strength/degree associates with two variables<br><br>- there is asymmetry in the way the DV and IV are treated where DV assumed ti be statistical (probabilistic distribution) and IV is fixed values.<br><br>Correlation : measure the strength / degree of linear association between 2 variables.<br><br>- any two variables symmetrically ; no distinction values between DV and IV <br><br>P/s - however in economic research in finding correlation coefficient between 2 variables.</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:21:00 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121994986</guid>
      </item>
      <item>
         <title>TYPES OF DATA - 4 TYPES</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996004</link>
         <description><![CDATA[<div>1. <strong>TIme Series Data</strong> - one entity; different times<br>2. <strong>Cross Section Data</strong> - many entities ; same time<br>3.<strong> Pooled Data</strong><br>combination of time and cross section.<br>4. <strong>Panel /Longitudinal Dat</strong>a<br>- special type of pooled data however the <strong>same cross sectional</strong> unit is surveyed over time. (to make comparison the change from one tenure to another tenure)<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:31:56 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996004</guid>
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      <item>
         <title>SOURCE OF DATA</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996397</link>
         <description><![CDATA[<div>Experimental - mostly for natural science, the researcher has controlled <br><br>Non-Experimental - mostly for social science; not subject to the control of researcher, eg: GDP</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:37:10 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996397</guid>
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      <item>
         <title>ACCURACY OF DATA</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996595</link>
         <description><![CDATA[<div>- reliable research need a quality of data</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:39:43 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996595</guid>
      </item>
      <item>
         <title>MEASUREMENT SCALES OF VARIABLES - 4 TYPES</title>
         <author>ashadiramly</author>
         <link>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996670</link>
         <description><![CDATA[<div>1. <strong>Ratio</strong> : <br>eg. X1/X2 ; X1&gt;X2 (vice versa)<br>2. <strong>Interval</strong> : eg. 1995-2000; 2001-2005<br>3. <strong>Ordinal</strong>:&nbsp; (has ratio scale features but in order)<br>eg Exam grade : Grade A,B,C<br>Wages Bracket<br>4. <strong>Nominal - no ratio scale features<br></strong>eg: Gender (Male/Female)<br>       Marital Status<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-09-07 03:40:47 UTC</pubDate>
         <guid>https://padlet.com/ashadiramly/iaklrq41vzbp/wish/121996670</guid>
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