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Introduction to econometrics for Innovation and Entrepreneurship researchers


Technical University of Denmark


General course objectives:
The course aims at providing a basic understanding of econometric analysis using a hands-on approach.

Learning objectives:
A student who has met the objectives of the course will be able to:
  • Apply a range of statistical tools using the STATA software package
  • Understand the basic methods of data analysis, including preparation of data, calculating new variables and adapting the data for statistical analysis
  • Evaluate and apply the appropriate statistical analysis for a given data set and research question
  • Understand the implications of applying regression models to small datasets (<50)
  • Evaluate and apply the appropriate method for smaller datasets
  • Understand and construct descriptive statistics to comply with standard journal requirements
  • Understand and evaluate the outcome of a statistical analysis to comply with standard journal requirements
  • Identify and solve potential endogeneity issues in data

Contents:
This course aims at providing the participants with a basic understanding of econometrics and econometric tools to allow the participants to conduct the appropriate statistical analysis given the research question and available data. The participants will understand both the possibilities and limitations of each statistical tool presented, and the appropriate methods to conduct a thorough and robust statistical analysis. Topics taught include basic statistic operations such as descriptive statistics, how to report statistical results, statistical tools such as ordinary least squares (OLS), count models and limited dependent variable models. In addition, a section of the course focuses specifically on quantitative methods in small datasets (commonly less than 50 observations) where the standard regression methods are insufficient. The course primarily revolves around cross-sectional data with some elements of panel data estimation. Each session consist of a period of lectures with numerous short and longer exercises relevant to the specific method taught in the session.

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Course organizer
Lars Holmberg
Place/Venue
Anker Engelunds Vej 1
City
2800 Kgs. Lyngby
Country
Denmark
Workload
3
Link
http://kurser.dtu.dk/course/38798