Introduction

In the era of data-driven decision-making, Experimental Econometrics stands at the forefront of modern economic research, bridging theory with empirical evidence. Experimental Econometrics in Design and Analysis Training Course equips participants with essential tools to design robust economic experiments, apply advanced econometric techniques, and interpret complex datasets for real-world policy analysis. Through a dynamic learning environment, participants will explore causal inference, randomized control trials (RCTs), and quasi-experimental designs while enhancing their statistical programming skills in Stata, R, and Python.

With a strong emphasis on practical application and data science integration, this course is tailored to meet the rising demand for economists, data analysts, researchers, and policy advisors who can execute and analyze experimental research. By the end of the course, participants will be well-versed in designing experiments, validating assumptions, and implementing rigorous econometric strategies using real-world case studies from development economics, public policy, and behavioral finance.

Programme Curriculum

Experimental Econometric in Design and Analysis Training Course

Introduction

Course Objectives

Understand the core principles of experimental design in economics.
Master causal inference methods including RCTs and natural experiments.
Gain proficiency in econometric software tools (Stata, R, Python).
Apply difference-in-differences, IV, and panel data models.
Explore randomized control trial design and impact evaluations.
Conduct and interpret field and lab experiments.
Implement regression discontinuity design (RDD) and matching methods.
Learn to mitigate selection bias and endogeneity.
Apply experimental methods to policy evaluation and development economics.
Analyze behavioral economics experiments with econometric rigor.
Develop actionable insights from experimental data analysis.
Produce and present academic-quality reports based on experimental findings.
Build practical skills for conducting evidence-based research in economics.

Target Audience

Economics researchers and data analysts
Policy evaluators and development practitioners
University students in economics or statistics
Monitoring and Evaluation (M&E) officers
Government economists and policy makers
NGO and international organization staff
Data scientists focusing on social impact
Academic professionals and PhD candidates

Course Duration: 5 days

Course Modules

Module 1: Foundations of Experimental Econometrics

Overview of experimental vs observational research
Importance of causal inference
Types of economic experiments
Introduction to hypothesis testing
Ethical considerations in experimentation
Case Study: Behavioral experiment in consumer choice

Module 2: Designing Randomized Controlled Trials (RCTs)

Principles of randomization
Sample size and power calculation
Implementing treatment and control groups
Compliance and attrition analysis
Threats to internal and external validity
Case Study: RCT on microcredit impact in rural communities

Module 3: Field Experiments and Lab Experiments

Differences and trade-offs
Recruiting subjects and field protocols
Strategy-proof designs
Measuring behavior and incentives
Blinding and placebo design
Case Study: Incentive-based learning in education settings

Module 4: Instrumental Variables (IV) and Endogeneity

Concept and need for IV
Identifying valid instruments
Two-stage least squares (2SLS) estimation
Weak instrument problem
Applications in policy research
Case Study: Education and earnings using quarter of birth as IV

Module 5: Difference-in-Differences (DiD) and Panel Data

DiD assumptions and identification
Fixed and random effects
Time-varying treatment effects
Event studies
Robust standard errors
Case Study: Minimum wage policy and employment outcomes

Module 6: Regression Discontinuity Design (RDD)

Sharp vs fuzzy RDD
Running variable and bandwidth selection
Local linear regression
Validating the design assumptions
Visual interpretation of discontinuity
Case Study: College grant eligibility and academic success

Module 7: Matching Techniques and Quasi-Experiments

Propensity score matching (PSM)
Nearest neighbor and kernel matching
Covariate balancing
Sensitivity analysis
Synthetic control methods
Case Study: Impact of health insurance expansion

Module 8: Data Analysis and Reporting

Cleaning and preparing experimental data
Interpreting regression output
Visualizing experimental results
Writing data-driven research reports
Presenting findings to stakeholders
Case Study: Reporting RCT results for policy adoption

Training Methodology

Hands-on coding sessions in Stata, R, and Python
Real-world datasets and replication exercises
Group discussions and peer reviews
Daily quizzes and problem-solving labs
Case-based learning from published experimental studies
Capstone mini-project applying full experimental cycle

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Experimental design econometrics causal inference

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000

Experimental Econometrics: Design and Analysis Training Course

Introduction

Programme Curriculum

Skills & Software Covered

Available Sessions