Training Calendar

Econometrics of Program Evaluation using Stata

Cass Business School 3 days (15th April 2019 - 2nd October 2019) Stata

Overview

This course will provide participants with the essential tools, both theoretical and applied, for a 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 these approaches: 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, and Regression discontinuity design.

After attending the course, the participant will be able to setting up and managing a correct evaluation design under observable and unobservable selection on his own: identification of the policy framework, collection and management of suitable datasets, use of appropriate econometric methods, and interpretation of results. Potential applications are in different contexts of policy such as: finance and banking, the labor market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc., although they can be used in any further field of study aiming at estimating the ex-post impact of a given policy intervention on specific targets. The course will provide various instructional examples on real datasets.

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 an unobservable selection
  • Assumptions and notation
  • Regression Adjustment (parametric and nonparametric)
  • Control-Function regression

Session 2: Applications using Stata

  • Use of the Stata 15 treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files provided by the instructor
  • Application on real data of teffects subcommands
  • Extensions by Stata user-written commands: ivtreatreg, treatrew

Day 2

Session 1: Matching and Reweighting

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

Session 2: Applications using Stata

  • Use of the Stata 15 treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files provided
  • Application on real data of teffects subcommands
  • Extensions by Stata user-written commands: pscore, psmatch2, treatrew.

Day 3

Session 1: Econometrics of program evaluation under “unobservable selection”

  • 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 2: Applications using Stata

  • Use of the Stata 15 treatment-effects estimation package teffects
  • Presentation of DO-files and ADO-files provided by the instructor
  • Application on real data of teffects subcommands
  • Extensions by Stata user-written commands: ivtreatreg,diff,rd,tedrdrobust

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.

Post-course Suggested Reading

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

DAILY TIMETABLE (subject to minor changes)

09:00 - 09:20 Registration

09:30 - 11:00 Session 1a

11:00 - 11:15 Tea / coffee break

11:15 - 12:45 Session 1b

12:45 - 14:00 Lunch

14:00 - 15:15 Session 2a

15:15 - 15:30 Tea / coffee break (Feedback Session)

15:30 - 17:00 Session 2b

Prerequisites

  • Knowledge of basic econometrics: notion of conditional expectation and related properties; point and interval estimation; regression model and related properties; probit and logit regression.
  • Basic knowledge of the Stata software
  • All costs exclude local taxes, where applicable.
  • 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.
  • 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.

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All prices exclude VAT or local taxes where applicable.

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