Training Calendar

Causal Inference and Policy Evaluation with Stata

CEMAPRE (ISEG), Lisbon 2 days (9th November 2018 - 10th November 2018) Stata Intermediate, Introductory
Delivered by: Pierre Hoonhout, School of Economics and Management, University of Lisbon
Econometrics, Policy analysis, Statistics

Timberlake Portugal and Cemapre (ISEG – Lisbon School of Economics & Management, University of Lisbon) are jointly organizing this training course. The Casual Interence and Policy Evaluation course aims to provide the full set of tools and techniques that any modern applied economist needs to know about this subject. Participants will learn the fundamental principles of modern econometrics and will also learn how to apply the techniques properly using the software Stata.

The course will take place at ISEG U. Lisboa, located in the center of Lisbon, in November 2018.

All courses will be taught in English

Donald Rubin developed the potential outcome framework for causal analyses, a framework that is now called the Rubin Causal Model. Methods that are currently in common use, like propensity-score weighting and matching, use this framework for assessing causation in observational data. This course shows how to apply these methods using Stata.

The subjects forming this training course are:

Random Experiments and Observational Data
  • The potential Outcomes Framework
  • Regression Adjustment, Weighting and Matching
Dealing with Unobserved Heterogeneity
  • Panel Data and Difference-in-Difference
  • Instrumental Variables and Regression Discontinuity Designs
Target

Academic Staff, Masters / PHD students and professionals that need to analyses data. It aims to offer an effective way to reach an advanced level of econometric analysis. Therefore, in order to get the most out of the course, basic knowledge of statistics and econometrics is required. The course will be taught in English.

Date & Schedule

Friday 9 November – Random Experiments and Observational Data

  • 14:00 – 15:30 The potential Outcomes Framework
  • 16:00 – 17:30 Regression Adjustment, Weighting and Matching

Saturday 10 November – Dealing with Unobserved Heterogeneity

  • 09:30 – 11:00 Panel Data and Difference-in-Difference
  • 11:30 – 13:00 Instrumental Variables and Regression Discontinuity Designs

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrollment).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course.
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of booking.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.
  • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
  • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
  • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.

The number of delegates is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    2-Day Pass (09/11/2018 - 10/11/2018)

All prices exclude VAT or local taxes where applicable.

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