{"id":1569,"date":"2023-03-31T11:05:05","date_gmt":"2023-03-31T08:05:05","guid":{"rendered":"https:\/\/www.es.ihu.gr\/?post_type=course&#038;p=1569"},"modified":"2023-07-30T08:09:11","modified_gmt":"2023-07-30T05:09:11","slug":"401","status":"publish","type":"course","link":"https:\/\/www.es.ihu.gr\/en\/courses\/401\/","title":{"rendered":"Econometrics"},"author":6,"template":"","meta":[],"semester":[37],"course_type":[14],"acf":{"code":"401","semester":37,"level":"1","teaching_activities":{"activity_1":{"description":"Lectures and Practice Works","weekly_hrs":3,"ects":5},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":14,"language":"Greek","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/elearning.cm.ihu.gr\/course\/view.php?id=476","prerequisites":"","instructors":[1428],"coordinator":"","content":"<ol>\r\n \t<li>Introductory concepts. Financial data structure.<\/li>\r\n \t<li>The bivariate linear problem.<\/li>\r\n \t<li>The multivariable linear problem.<\/li>\r\n \t<li>The coefficient of determination and the corrected determination coefficient. Sources of variability in linear regression.<\/li>\r\n \t<li>Hypothesis tests with the t and F statistics.<\/li>\r\n \t<li>Stability test of the model\u2019s coefficients. Special forms of explanatory variables.<\/li>\r\n \t<li>\u039culticollinearity.<\/li>\r\n \t<li>Heteroscedasticity.<\/li>\r\n \t<li>Autocorrelation.<\/li>\r\n \t<li>Misspecification.<\/li>\r\n \t<li>Dummy variables.<\/li>\r\n \t<li>Simultaneous equation models.<\/li>\r\n \t<li>Limited dependent variable regression models.<\/li>\r\n<\/ol>","goals":"The course aims in bringing the students into contact with a subject that is applied, but also theoretically grounded with knowledge of mathematics and statistics they have acquired in previous semesters of their studies. The aim is for students to understand the basic theory of econometrics, the connection of its main theoretical results with the assumptions on which these results are based, and the limitations these assumptions impose on the way we use econometrics in applications. To understand the way econometrics is applied to specific problems that arise in the context of economic theory and especially financial analysis. All students are expected to be able to use what they have learned in problems similar to those analyzed during the course.\r\n\r\nUpon successful completion of the course, the students will be able to:\r\n<ul>\r\n \t<li>Understood univariate and multivariate linear regression (OLS).<\/li>\r\n \t<li>Familiarize with OLS special topics.<\/li>\r\n \t<li>Understand the hypotheses tests, autocorrelation and heteroscedasticity.<\/li>\r\n \t<li><em>Can use time series analysis models. <\/em><\/li>\r\n<\/ul>","skills":"<ul>\r\n \t<li>Working independently.<\/li>\r\n \t<li>Team work.<\/li>\r\n \t<li>Decision making.<\/li>\r\n \t<li>Production of free, creative and inductive thinking.<\/li>\r\n<\/ul>","teaching_methods":"<ul>\r\n \t<li>In the classroom, face to face.<\/li>\r\n<\/ul>","ict_usage":"<ul>\r\n \t<li>Basic software (windows, word, power point, the web, etc.).<\/li>\r\n \t<li>Support of learning process through the electronic platform \/ e-class.<\/li>\r\n<\/ul>","teaching_organization":{"activity_1":{"description":"Lectures","workload":26},"activity_2":{"description":"Practice works","workload":13},"activity_3":{"description":"Assignment (Essay writing)","workload":20},"activity_4":{"description":"Independent Study","workload":66},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"Written final exams (60%) that may include:\r\n<ul>\r\n \t<li>Judgemental questions.<\/li>\r\n \t<li>Short answer questions.<\/li>\r\n \t<li>Comparative evaluation of theory elements.<\/li>\r\n \t<li>True\/False and Multiple Choice questions.<\/li>\r\n \t<li>Applications exercises.<\/li>\r\n<\/ul>\r\nIn each question, corresponding evaluation points are specified.\r\nOptional assignment (Essay writing and presentation) corresponds to 40% of the final grade.\r\n\r\n&nbsp;","bib_textbooks":"<ol>\r\n \t<li><em> Dimitrios Asteriou - Stephen G. Hall, 2018, \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03bc\u03ad\u03bd\u03b7 \u039f\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b5\u03c4\u03c1\u03af\u03b1, \u0395\u03ba\u03b4. \u03a0\u03c1\u03bf\u03c0\u03bf\u03bc\u03c0\u03cc\u03c2.<\/em><\/li>\r\n \t<li><em> \u039a\u03b1\u03c4\u03c1\u03b1\u03ba\u03c5\u03bb\u03af\u03b4\u03b7\u03c2 \u039a., \u03a4\u03b1\u03bc\u03c0\u03ac\u03ba\u03b7\u03c2 \u039d., \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7\u03bd \u039f\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b5\u03c4\u03c1\u03af\u03b1-\u0391\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2, \u0395\u03ba\u03b4. \u039c\u03ac\u03c1\u03ba\u03bf\u03c5 &amp; \u03a5\u03b9\u03cc\u03c2, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, 2011.<\/em><\/li>\r\n \t<li><em> \u03a7\u03ac\u03bb\u03ba\u03bf\u03c2 \u0393., \u039f\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b5\u03c4\u03c1\u03af\u03b1, 2\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7, \u0395\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u0394\u03af\u03c3\u03b9\u03b3\u03bc\u03b1 \u0399\u039a\u0395, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, 2019.<\/em><\/li>\r\n<\/ol>","bib_journals":"<ol>\r\n \t<li>Journal of Econometrics.<\/li>\r\n \t<li><em>Econometrics.<\/em><\/li>\r\n \t<li><em>The Econometrics Journal.<\/em><\/li>\r\n \t<li><em>Journal of Forecasting.<\/em><\/li>\r\n<\/ol>"},"_links":{"self":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1569"}],"collection":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":10,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1569\/revisions"}],"predecessor-version":[{"id":2816,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1569\/revisions\/2816"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/1428"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/14"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/37"}],"wp:attachment":[{"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1569"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1569"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.es.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1569"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}