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Engel's Law: Calculating Regression Parameters and Interpreting Statistical Measures, Assignments of Statistics

An economics exercise from davidson college's economics 105 course, taught by mark c. Foley, during the fall semester of 2008. Students are asked to apply engel's law, which states that the share of household income spent on food decreases as income rises, by calculating the ordinary least squares estimates of the parameters α and β, interpreting the r-squared value, and calculating the standard error of the model using the given dataset. This exercise is based on problem 10.2 from ashenfelter, levine, and zimmerman's (2003) statistics and econometrics: methods and applications.

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Pre 2010

Uploaded on 08/09/2009

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Download Engel's Law: Calculating Regression Parameters and Interpreting Statistical Measures and more Assignments Statistics in PDF only on Docsity! Economics 105 Davidson College Aug - Dec 2008 Mark C. Foley Graded Homework #201 There are very few empirical laws in economics. One such law that seems to hold most of the time is Engel’s law. Engel’s law simply states that the share of household income devoted to food should decline as income rises. Consider the following sample of 10 households. i Food Share (fsi) Log income (ln Ii) 1 0.54 9.2 2 0.67 8.9 3 0.36 9.4 4 0.55 9.2 5 0.61 8.8 6 0.39 9.4 7 0.47 9.2 8 0.29 9.5 9 0.62 9.0 10 0.52 9.1 If PF is the price of a unit of food, and QFi is the number of units of food purchased by household i, then food share of household i is given by fsi = (PFQFi)/Ii, where Ii is income of household i. A simple specification of the “Engel curve” is give by iii Ifs εβα ++= )(lnln , where ),0(...~ 2σε Ndiii . (a) Compute the ordinary least squares estimate of the parameters α and β “by hand,” that is, use Excel like you would a calculator. Check your results using Excel’s built-in regression function (Tools-Data Analysis-Regression). (b) Calculate, “by hand,” and interpret the R2 for this regression. (c) Calculate, “by hand,” and interpret the standard error of the model. 1 Example is taken from problem 10.2 of Ashenfelter, Levine, and Zimmerman (2003), Statistics and Econometrics: Methods and Applications.
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