Training Calendar

Econometrics of Program Evaluation Using Stata - Co-Developed with Lancaster University Management School

3 days (10th February 2020 - 12th February 2020) Stata Intermediate
Delivered by: Dr. Giovanni Cerulli
Data Management, Econometrics, Statistics

Overview

This course will provide participants with the essential tools, both theoretical and applied, for the proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”.

The course will cover the following topics:

  • Regression adjustment (parametric and nonparametric)
  • Matching (on covariates and on propensity score)
  • Reweighting and Double-robust methods
  • Selection models
  • Instrumental-variables approaches
  • Difference-in-differences
  • Regression discontinuity design

After attending the course, the participants will be able to set up and manage a correct evaluation design under observable and unobservable selection on their own. This will include:

  • Identification of the policy framework
  • Collection and management of suitable datasets
  • Use of appropriate econometric methods
  • Interpretation of results

Potential applications to policy are wide. Applications of the methodologies covered within the course include:

  • Finance and banking
  • The labour market
  • The investment activities of enterprises
  • Education policy and regional cooperation
  • Incentives for business research and development
  • or anywhere research is estimating the ex-post impact of a given policy intervention on specific targets

The course will provide various instructional examples on real datasets.

Course Agenda

Day 1

Session 1: Introduction to the econometrics of program evaluation

  • Econometrics of program evaluation: statistical background
  • Experimental and non-experimental design
  • The selection problem: observable and unobservable selection
  • Assumptions and notation
  • Regression Adjustment (parametric and nonparametric)
  • Control-function regression

Session 2: Applications using Stata

  • Use of Stata's treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files (that will be provided with the course materials)
  • Application on real data of teffects subcommands
  • Extensions by Stata's Community Contributed commands: ivtreatreg, treatrew

Day 2

Session 3: Matching and Reweighting

  • Matching estimator: covariate and propensity score methods
  • Reweighting estimator
  • Double-robust estimator
  • Summary of methods

Session 4: Applications using Stata

  • Use of Stata's treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files (that will be provided with the course materials)
  • Application on real data of teffects subcommands
  • Extensions by Stata user-written commands: pscore, psmatch2, treatrew.

Day 3

Session 5: Econometrics of program evaluation under “selection on unobservables”

  • Summary of program evaluation under “observable selection”
  • Statistical background: the endogeneity problem
  • Assumptions and notation
  • Selection models (Heckit)
  • Instrumental variables approaches (IV) and LATE
  • Difference-in-differences (DID)
  • A primer into the Regression discontinuity design (RD)

Session 6: Applications using Stata

  • Use of the Stata's treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files (that will be provided with the course materials)
  • Application on real data of teffects subcommands
  • Extensions by Stata the user-written commands: ivtreatreg, diff, rd, ted, rdrobust

Principal texts for pre-course reading:

  • Wooldridge, J.M. (2010). Econometric Analysis of cross section and panel data. Chapter 21. Cambridge: MIT Press.
  • Cameron, A.C., & Trivedi P.K. (2005). Microeconometrics: Methods and Applications. Chapter 25. Cambridge: Cambridge University Press.
  • Cerulli, G. (2012), An Assessment of the Econometric Methods for Program Evaluation and a Proposal to Extend the Difference-In-Differences estimator to dynamic treatment, Econometrics: New Developments, Nova Publishers, New York.

Principal texts for post-course reading:

  • Cerulli, G. (2015), Econometric Evaluation of Socio-Economic Programs: Theory and Applications, Springer.

Daily Timetable (subject to minor changes)

TimeSession / Description
08:30-09:00 Arrival and Registration
09:00-10:45 Taught Session
10:45-11:00 Break
11:00-12:30 Taught Session
12:30-13:30 Lunch
13:30-15:15 Worked Applications
15:15-15:30 Break
15:30-17:15 Worked Applications

Prerequisites

  • Knowledge of basic econometrics, to include the notion of conditional expectation and related properties; point and interval estimation; regression model and related properties; probit and logit regression.
  • Basic knowledge of Stata software

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. Contact us for more information.
  • Cost includes all course materials, lunch and refreshments.
  • Temporary, time limited licences for the software(s) used in the course will be provided. You are required to install the software provided prior to the start of the course. Alternatively, laptops can be hired for a fee of £12.00 (including VAT) per day.
  • If you need assistance in locating hotel accommodation in the region, please notify us at the time of registration.
  • Full payment of course fees is required prior to the course start date to guarantee your place.
  • Registration closes 5-calendar days prior to the start of the course.

Cancellations or changes to your registration

  • 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
    3-Day Pass (10/02/2020 - 12/02/2020)

All prices exclude VAT or local taxes where applicable.

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