{"id":71496,"date":"2021-11-06T09:38:04","date_gmt":"2021-11-06T09:38:04","guid":{"rendered":"https:\/\/papersspot.com\/blog\/2021\/11\/06\/question-3-only\/"},"modified":"2021-11-06T09:38:04","modified_gmt":"2021-11-06T09:38:04","slug":"question-3-only","status":"publish","type":"post","link":"https:\/\/papersspot.com\/blog\/2021\/11\/06\/question-3-only\/","title":{"rendered":"question 3 only"},"content":{"rendered":"<p>Learning Goal: I&#8217;m working on a statistics question and need an explanation and answer to help me learn. <br \/>The data file stockton5_small contains observations on 1200 houses sold in Stockton, California, during 1996\u20131998. <br \/>In this Stata file, which is in Brightspace, you are given data on price = selling price of homes (thousands of dollars), and <br \/>livarea = living area (hundreds of square feet), which is an indicator of lot size. The homes are also classified as large and <br \/>small lots. In the data file, the variable lgelot=1 if the lot is large and 0 if small. Use Stata to answer the following <br \/>questions. <br \/>(a) Obtain and compare the average price of small and large lot sizes. (2 points) <br \/>(b) Estimate the regression model price = \u03b21 \u03b22livarea e separately for (i) large lots sizes only, (ii) small lot only, and <br \/>(iii) both small and large lots combined. <br \/>1. Present the three estimated equations along with sample size. You need to write the equations by hand. (4 points) <br \/>2. Interpret the estimate of livarea coefficient in each case. What does a comparison of the three estimates suggest? <br \/>(3 points) <br \/>3. Predict the increase in house prices if living area were to increase by 1 thousand square feet. (2 points) <br \/>Note: In answering this question you could adopt the approach I showed in class for wage functions by sex; that is, using <br \/>the bysort command in Stata. Here the equivalent of the sex variable is the lot size variable. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learning Goal: I&#8217;m working on a statistics question and need an explanation and answer to help me learn. The data file stockton5_small contains observations on 1200 houses sold in Stockton, California, during 1996\u20131998. In this Stata file, which is in Brightspace, you are given data on price = selling price of homes (thousands of dollars), [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[22],"class_list":["post-71496","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-economics"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/71496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=71496"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/71496\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=71496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=71496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=71496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}