Training Calendar

Policy Evaluation and Structural Equation Models Using Stata

CEMAPRE (ISEG), Lisbon 4 days (10th September 2019 - 13th September 2019) Stata Various
Delivered by: Pierre Hoonhout, Lisbon School of Economics and Management (ISEG)
Econometrics, Microeconomics, Policy analysis

Course Overview

Policy-making is about making choices. In order to make an informed choice between several alternative policies, reliable information is needed on what works and what does not work. Such information is ideally based on empirical evidence.

Measuring the effect of a policy requires econometric methods. This course aims to bring to the fore the recent advances in the econometrics of policy analysis.

The two most commonly used approaches to causal inference are discussed: the Rubin Causal Model (RCM) and Structural Equation Models (SEM).

Recent versions of Stata include implementations of these methods. This course aims to introduce the theory of the RCM and SEM and show how to apply the theory using Stata.

Course Agenda

Day 1 - The Rubin Causal Model Under Unconfoundedness

  • The Potential Outcome Framework
  • Regression adjustment
  • Weighting
  • Matching

Day 2 - The Rubin Causal Model With Unobserved Confounders

  • Panel Data
  • Diff-in-Diff
  • Instrumental Variables and Control Functions
  • Regression Discontinuity Designs

Day 3 - Structural Equation Models

  • Maximum Likelihood Estimation
  • Confirmatory Factor Analysis
  • Path Analysis
  • Structural Equation Models

Day 4 - Generalised Structural Equation Models

  • Generalized Linear Models
  • Binary Responses
  • Categorical and Count Responses
  • Multi-level Models

Principal texts for pre-course reading:

Angrist and Pischke (2014), Mastering Metrics, Princeton

Principal texts for post-course reading:

Johnson and Wichern (2014), Applied Multivariate Statistical Analysis, Pearson

Prerequisites

This course is aimed at students, professionals and researchers in the social sciences that have a basic understanding of statistics and the most commonly used econometric models.

Terms & Conditions

  • 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 enrolment).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials, lunch and refreshments.
  • Attendees 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. Alternatively, we can also provide laptops for an additional cost of €12.00 per day.
  • 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 seats available is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    1-day pass (10/09/2019 - 13/09/2019)
    2-day pass (10/09/2019 - 13/09/2019)
    3-day pass (10/09/2019 - 13/09/2019)
    4-day pass (10/09/2019 - 13/09/2019)

All prices exclude VAT or local taxes where applicable.

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