Tag Archives: English Contents Panel

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt, Nisar Ahmad (SDU Sonderburg/Denmark)

Date:

04.10.2012, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

You have to register for the 6th International Research Workshop to participate in this course.

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt, Nisar Ahmad (SDU Sonderburg/Denmark) – tbc

Date: 06.10.2011, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

You have to register for the 5th International Research Workshop to participate in this course.

Analysing Panel Data

Institution: see Organisers & Acknowledgements

Program of study: International Research Workshop

Lecturer: Toben Dall Schmidt (SDU Sonderburg) tbc

Date:
07.10.2010, 14:00 – 17:30

Room: n.s.

Max. number of participants: 25

Semester periods per week: n.s.

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:
Panel data has become popular due to their very specific structure and associated advantages. This module will introduce these basic structures and offer some first insights into the different standard estimation methods available to use panel data for analysis – the most two most common being the fixed effects models and the random effects models. In terms of advantages, the module will offer a discussion of the properties of panel data in allowing for unobservable heterogeneity, but it will also point to some of the caveats of using panel data, e.g. attrition problem in survey data. A final issue in the module will be testing procedures to allow for a selection between different estimation methods for panel data. The module will therefore offer a basic introduction into the essence of panel data analysis.

You have to register for the 4th International Research Workshop to participate in this course.