Flexible learning
Online postgraduate courses
Econometrics of Programme Evaluation
Please note to take this course you must first have completed Microeconometrics and Panel Data Econometrics
This course will provide participants with the essential tools, both theoretical and applied for proper use of modern microeconometric methods for policy evaluation and causal counterfactual modelling.
The course will cover various approaches, namely: 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.
Each student should be able to read and understand applications from different policy sub-fields, such as finance and banking, the labour market, the investment activities of enterprises, education policy and regional cooperation, incentives for business research and development, etc.
This module can be taken as part of a PG Certificate, PG Diploma or Full Masters Program.
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- 10 Credits
- 100 hours of study
- 15 contact hours
- 85 hours for private study
Faculty
Structure
Structure
Econometrics of Program Evalutaion is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.
The total number of contact hours is 15 hours. This leaves 85 hours for private study.
Lectures
This module consists of 2 - hour lectures per day for 5 days, plus a 1 - hour tutorial per day.
There will be optional clinics on the last day of the course.
The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact edu@timberlake.co.uk.
Stata
Module Programme
Introduction to the Econometrics of Program Evaluation I
- Econometrics of program evaluation: statistical background
- Experimental and non-experimental design
- The selection problem: observable and unobservable selection
- Assumptions and notation
Introduction to the Econometrics of Program Evaluation II
- Regression Adjustment (parametric and nonparametric)
- Control-function regression
Applications using Stata I
- Use of the Stata treatment-effects estimation package teffects
- Presentation of DO-files and ADO-files provided by the lecturer
Applications using Stata II
- Application on real data of teffects subcommands
- Extensions by Stata user-written commands: ivtreatreg, treatrew
Matching Estimator
- Matching estimator: covariate and propensity score methods
Reweighting and Double-Robust Estimator
- Reweighting estimator
- Double-robust estimator
- Summary of methods
Applications using Stata I
- Use of the Stata treatment-effects estimation package teffects
- Presentation of DO-files and ADO-files provided by the lecturer
Applications using Stata II
- Application on real data of teffects subcommands
- Extensions by Stata user-written commands: pscore, psmatch2, treatrew
Econometrics of Program Evaluation under “Selection on Unobservables” I
- Summary of program evaluation under “observable selection”
- Statistical background: the endogeneity problem
- Assumptions and notation
- Selection models (Heckit)
Econometrics of Program Evaluation under “Selection on Unobservables” II
- Instrumental variables approaches (IV) and LATE
- Difference-in-differences (DID)
- A primer into the Regression discontinuity design (RD)
Applications using Stata I
- Use of the Stata treatment-effects estimation package teffects
- Presentation of DO-files and ADO-files provided by the lecturer
Applications using Stata II
- Application on real data of teffects subcommands
Prerequisites
English Language Requirements
Both Programmes are open to applicants anywhere in the world. We may ask applicants to provide a recognised English language qualification, dependent upon their nationality and where they have studied/worked previously.
The requirement is an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We will also consider other English language qualifications. If their score is below our requirements, they may be eligible for one of Lancaster University's pre-sessional English language programmes.
Academic Requirements
Applicants to the Postgraduate Certificate of Achievement, Postgraduate Certificate, Postgraduate Diploma or full MSc in either programme require either an upper second-class degree in economics, econometrics or related subjects.
Learning Outcomes
- Set up and manage a correct evaluation design, either under observable orunobservable selection
- Identify, collect, and organize datasets for a correct ex-post program evaluation
- Understand the theoretical underpinnings of the most widely studied econometricmodels for program evaluation, using mainly intuitive examples and graphicalapproaches
- Select the appropriate methods to use and interpret results accordingly
- Read and understand applications from different policy sub-fields, such as: financeand banking, the labour market, the investment activities of enterprises, educationpolicy and regional cooperation, incentives for business research and development,etc.
- Engage in abstract thinking by extracting the essential features of complex systemsto facilitate problem solving and decision-making
- Communicate and present complex arguments in oral and written form with clarityand succinctness
- Present, interpret and analyse information in numerical form
- Utilise effectively statistical and other packages
- Apply basic statistical techniques to analyse economic and financial datasets
- Work effectively both individually and within a team environment.
Frequently Asked Questions
All sessions are conducted live and online at a scheduled time, but are also recorded. Students may attend live and watch the recordings back to recap the material or watch the recordings only if unable to attend live. We always advise students to attend live where possible as this will allow them the best opportunity to engage with the content and ask the lecturer's questions.
All modules are examined through online coursework submissions, you will have the support of your module lecturer/tutor in this poccess.
No, all necessary software is provided to students.
All courses are recorded and available on the LUMS internet platform throughout the current academic year. They can therefore be viewed 24 hours a day.
Timberlake Consultants and Lancaster University Management School (LUMS) Economics department have a longstanding partnership; combining 40+ years of industry expertise with over 50 years of academic excellence. We are delighted to build on this with our micro-credential postgraduate courses.
Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education
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Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education