IDENTIFYING DATA 2020_21
Subject (*) EMPIRICAL METHODS IN MANAGEMENT Code 20725105
Study programme
Technology and Engineering Management (2017)
 Cycle 2nd
Descriptors Credits Type Year Period
3 Compulsory First 1Q
Language
Anglès
Department Economics
Coordinator
ASLANIDIS , NEKTARIOS
 E-mail nektarios.aslanidis@urv.cat
Lecturers
ASLANIDIS , NEKTARIOS
Web
General description and relevant information <div>During the academic year 2020-21 this subject will exceptionally be taught online, except the final assessment tests that will be face-to-face. The assessment will be in this exceptional period according the section `Assessment. Other comments and second call” by the title: ASSESSMENT ONLINE TEACHING 2020-21 COURSE <br /></div><div><br /></div><div>GENERAL DESCRIPTION. This course is intended to be an introduction to specification, estimation, and evaluation of econometric models. We review aspects of the single equation linear model, consider instrumental variable estimation, and models with heteroskedasticity. Throughout we will try to emphasize the essential interplay between econometric theory and economic applications. </div>

Competences
Type A Code Competences Specific
 A1.4 Apply advanced methods of theoretical and empirical analysis to company decision-taking.
 A1.5 Analyse the complexity of the micro- and macroeconomic and legal environment of technology and innovation companies in a changing and ill-defined context.
Type B Code Competences Transversal
 B1.1 Communicate complex ideas effectively to all sorts of audiences.
 B3.1 Work in multidisciplinary teams and in complex contexts.
 B3.2 Develop abilities to manage their professional career.
 B5.3 Apply new technologies and advances with initiative and entrepreneurial spirit and manage and use information in an eficient manner.
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1.4 Understand and apply techniques for the empirical analysis of economic data.
Interpret empirical analyses.
Use methods of empirical analysis to prepare economic decisions.
 A1.5 Analyse national and international markets.
Type B Code Learning outcomes
 B1.1 Manage complex information.
 B3.1 Organise a team to carry out empirical analysis.
 B3.2 Take responsibility for the overall result of teamwork and not merely for the part that was done personally.
Resolve disputes that arise during teamwork in a constructive, ethically responsible manner whilst taking into account the multicultural and multidisciplinary nature of the team
 B5.3 Apply latest-generation instruments for strategic analysis.
Type C Code Learning outcomes

Contents
Topic Sub-topic
Descriptive statistics
Hypothesis testing in the analysis of economic data

Statistics and econometrics softwares (GRETL)

Econometric models: Linear regression model
Time series estimation techniques

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
 Hours outside the classroom
 (**) Total hours
Introductory activities
A2
A3
B3
B4
C3
 1 1 2
Lecture
A2
A3
B3
B4
C3
 12 24 36
Problem solving, exercises
A1.4
B5.3
 9 16 25
Presentations / oral communications
A2
A3
B3
B4
C3
 4 4 8
Personal attention
2 0 2
 
Mixed tests
A1.4
A1.5
 2 0 2
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Presentation of the subject.
Lecture Description of the contents of the subject.
Problem solving, exercises Analysing and solving problems or practical exercises related to the subject.
Presentations / oral communications Oral presentations by the students on particular issues.
Personal attention Time set aside to attend students and respond to their queries online.

Personalized attention
Description
I hold regular office hours (consultation time) after or before each class.

This academic course, the consultitation will be online.

Assessment
Methodologies Competences Description Weight        
Problem solving, exercises
A1.4
B5.3
 Students analyse and solve problems or practical exercises related to the subject 20
Presentations / oral communications
A2
A3
B3
B4
C3
 Oral presentations by the students on particular issues. previous written presentation) 60
Mixed tests
A1.4
A1.5
 These tests combine extended answers, objective short answers and multiple choice. 20
Others  
 
Other comments and second exam session

Subject's minimum attendance requirement is 80% of teaching and learning sessions for continuous assessment in first call.

The 2nd exam call consists of an exam (100% of the total mark).

ASSESSMENT ONLINE TEACHING 2020-21 COURSE

This academic year the evaluation in the first call will combine:

- online tests

- final tests that will be carried out face-to-face at the end of the semester.

Sources of information

Basic Wooldridge J.M, Introductory Econometrics: A Modern Approach, Thomson,

Complementary

Recommendations
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.