Lab Assignment 13

Lab Assignment 13 - Lab Assignment 13 1. Regress log(rent)...

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Lab Assignment 13 1. Regress log( rent ) on log( pop ), log( avginc ), pctstu and y90 , which is a time dummy for year 1990. Save a copy of the output and submit. The SAS System 12:31 Thursday, April 8, 2010 1 The REG Procedure Model: MODEL1 Dependent Variable: lrent Number of Observations Read 128 Number of Observations Used 128 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 12.10801 3.02700 190.92 <.0001 Error 123 1.95012 0.01585 Corrected Total 127 14.05813 Root MSE 0.12592 R-Square 0.8613 Dependent Mean 5.74620 Adj R-Sq 0.8568 Coeff Var 2.19128 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.56881 0.53488 -1.06 0.2897 lpop 1 0.04069 0.02252 1.81 0.0732 lavginc 1 0.57145 0.05310 10.76 <.0001 pctstu 1 0.00504 0.00102 4.95 <.0001 y90 1 0.26223 0.03476 7.54 <.0001
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2. Estimate the fixed effects model using the same model specification. Save a copy of the output and submit. The SAS System 12:31 Thursday, April 8, 2010 2 The TSCSREG Procedure Fixed One Way Estimates Model: FIXED Dependent Variable: lrent Model Description Model Statement Label FIXED Estimation Method FixOne Number of Cross Sections 64 Time Series Length 2 Fit Statistics SSE 0.2437 DFE 60 MSE 0.0041 Root MSE 0.0637 R-Square 0.9827 F Test for No Fixed Effects Num DF Den DF F Value Pr > F 63 60 6.67 <.0001 Parameter Estimates Standard Variable DF Estimate Error t Value Pr > |t| Label CS1 1 -0.07527 0.1022 -0.74 0.4642 Cross Sectional Effect 1 CS2 1 0.172118 0.0737 2.34 0.0228 Cross Sectional Effect 2 CS3 1 -0.05349 0.1484 -0.36 0.7198 Cross Sectional Effect 3 CS4 1 0.106027 0.1505 0.70 0.4837 Cross Sectional Effect 4 CS5 1 0.615692 0.1119 5.50 <.0001 Cross Sectional Effect 5 CS6 1 0.340854 0.0894
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This note was uploaded on 02/21/2012 for the course ECON 500 taught by Professor Professor during the Fall '10 term at SUNY Buffalo.

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Lab Assignment 13 - Lab Assignment 13 1. Regress log(rent)...

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