Hanken Moodle

Detta är den gemensamma Moodlesidan för kurserna 17160 för svenskspråkiga hankeiter och 17170 för övriga.

This is the combined Moodle page for the courses 17170 for non-Swedish speakers, and 17160 for Swedish speaking Hankeits.

Please read the course description carefully! It is available outside the course Moodle page. Please also attend the introductory lecture. The introductory lecture is held on Monday, 31 August 2026 at 12.30 pm. in room A411. The enrolment key will be distributed at least twice, i.e., after mid-August, and another time closer to the course start. Please contact jan.antell@hanken.fi if you did not receive it.

Take measures to come up with a topic. Note that the topic is to be submitted already some one week after the introductory lecture. Check the data availability to the detail, as no data = no thesis.

In many cases, the model structure is as follows: $\<span class="highlight">m</span>athit{Y} = \alpha + \<span class="highlight">m</span>athr<span class="highlight">m</span>{\beta}_1 \<span class="highlight">m</span>athit{Variable} + \<span class="highlight">m</span>athbf{\ga<span class="highlight">m</span><span class="highlight">m</span>a}' \<span class="highlight">m</span>athbf{Controls} + \epsilon,$ where $\<span class="highlight">m</span>athit{Variable}$ is a variable of interest, and $\<span class="highlight">m</span>athbf{Controls}$ is a vector of control variables. When considering a topic, think of which variables that should be variables of specific interest, and which are control variables, i.e., variables known or expected to have an association with the phenomenon under study, but that are not of special interest. You need data both for variables of interest and for control variables.

Detta är den gemensamma Moodlesidan för kurserna 17160 för svenskspråkiga hankeiter och 17170 för övriga.

This is the combined Moodle page for the courses 17170 for non-Swedish speakers, and 17160 for Swedish speaking Hankeits.

Please read the course description carefully! It is available outside the course Moodle page. Please also attend the introductory lecture. The introductory lecture is held on Tuesday, 2 September 2025 at 10.15 am. in room A411. The enrolment key will be distributed at least twice, i.e., once in the first half of August, and another time about one week before the course starts. Please contact jan.antell@hanken.fi if you did not receive it.

Take measures to come up with a topic. Note that the topic is to be submitted already some one week after the introductory lecture. Check the data availability to the detail, as no data = no thesis.

In many cases, the model structure is as follows: $\<span class="highlight">m</span>athit{Y} = \alpha + \<span class="highlight">m</span>athr<span class="highlight">m</span>{\beta}_1 \<span class="highlight">m</span>athit{Variable} + \<span class="highlight">m</span>athbf{\ga<span class="highlight">m</span><span class="highlight">m</span>a}' \<span class="highlight">m</span>athbf{Controls} + \epsilon,$ where $\<span class="highlight">m</span>athit{Variable}$ is a variable of interest, and $\<span class="highlight">m</span>athbf{Controls}$ is a vector of control variables. When considering a topic, think of which variables that should be variables of specific interest, and which are control variables, i.e., variables known or expected to have an association with the phenomenon under study, but that are not of special interest. You need data both for variables of interest and for control variables.