Multiple regression exercise

# Multiple regression exercise -...

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This exercise concerns regressions used to model hourly earnings of workers as a function of characteristics of the workers. The unit of observation is the worker, and the data include observations on 61,395 workers from the March 2005 Current Population Survey. The variables are: Ahe = Average Hourly Earnings in 2004 Lnahe = Natural logarithm of average hourly earnings in 2004 Yrseduc = Years of Education Age = Age (in Years) Female = 1 if female; 0 if male. Also, there are four dummy variables indicating which of four Census regions the worker currenly lives in: Northeast = 1 if from the Northeast, 0 otherwise Midwest = 1 if from the Midwest, 0 otherwise South = 1 if from the South, 0 otherwise West = 1 if from the West, 0 otherwise. Descriptive statistics for the variables follow. =============================================================================== Variable Mean Std.Dev. Minimum Maximum Cases Missing =============================================================================== ------------------------------------------------------------------------------ All observations in current sample ------------------------------------------------------------------------------ AHE | 18.4351 10.1272 2.00321 72.1154 61395 0 LNAHE | 1.20198 .240747 .301725 1.85803 61395 0 FEMALE | .440541 .496456 .000000 1.00000 61395 0 AGE | 41.2314 10.5867 21.0000 64.0000 61395 0 NORTHEAS| .201498 .401123 .000000 1.00000 61395 0 MIDWEST | .246535 .430997 .000000 1.00000 61395 0 SOUTH | .308869 .462031 .000000 1.00000 61395 0 WEST | .243098 .428957 .000000 1.00000

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## This note was uploaded on 11/15/2010 for the course ECO 6416 taught by Professor Staff during the Spring '08 term at University of Central Florida.

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Multiple regression exercise -...

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