Linear regression analyses (OLS) are used to estimate marginal effects\/coefficient values \u200b\u200bfor a set of explanatory variables where the outcome\/response variable is metric. Through options, the output can be adapted (hide the fixed term, change the significance level, show model diagnostics, show robust estimates, use cluster estimation, etc.).<\/p>\n\n\n
\/\/Connect to database\r\nrequire no.ssb.fdb:23 as db\r\n\r\n\/\/Start by importing relevant variables\r\ncreate-dataset demographydata\r\nimport db\/BEFOLKNING_KJOENN as gender\r\nimport db\/BEFOLKNING_FOEDSELS_AAR_MND as birth_year_month\r\nimport db\/BEFOLKNING_STATUSKODE 2020-01-01 as regstat\r\nimport db\/SIVSTANDFDT_SIVSTAND 2020-01-01 as civstat\r\nimport db\/INNTEKT_BRUTTOFORM 2020-01-01 as wealth\r\nimport db\/INNTEKT_WYRKINNT 2021-01-01 as work_income21\r\n\r\n\/\/Limit the population\r\ngenerate age = 2020 - int(birth_year_month \/ 100)\r\nkeep if regstat == '1' & age > 15 & age < 67\r\n\r\n\/\/Adapting the independent variables so that they suit the statistical model (most of the variables needs to be transformed into dummy variables)\r\ngenerate male = 0\r\nreplace male = 1 if gender == '1'\r\n\r\ngenerate married = 0\r\nreplace married = 1 if civstat == '2'\r\n\r\ngenerate wealth_high = 0\r\nreplace wealth_high = 1 if wealth > 1500000\r\n\r\n\/\/Test for correlation between two of the independent variables\r\ncorrelate age wealth_high\r\n\r\n\/\/Run regression analysis where the dependent variable is allways listed first\r\nregress work_income21 male married age wealth_high<\/code><\/pre>\n<\/div>","protected":false},"parent":0,"menu_order":117,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":""},"class_list":["post-1287","eksempel","type-eksempel","status-publish","hentry"],"acf":[],"yoast_head":"\nLinear regression analysis - microdata.no<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microdata.no\/eksempel\/lineaer-regresjonsanalyse\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Linear regression analysis - microdata.no\" \/>\n<meta property=\"og:description\" content=\"Linear regression analyses (OLS) are used to estimate marginal effects\/coefficient values \u200b\u200bfor a set of explanatory variables where the outcome\/response variable is metric. 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