Presentation Title
Subtitle or Conference Name
Kyiv School of Economics
February 1, 2026
Outline
- Introduction
- Data and Methods
- Results
- Conclusion
Introduction
Motivation
- First point about your research
- Second point with more details
- Sub-point with additional context
- Another sub-point
- Third main point
Research Question
Main Question
What is the causal effect of X on Y?
Contribution:
- First contribution
- Second contribution
- Third contribution
Data and Methods
Data
Data Sources
- Source 1 (years)
- Source 2 (years)
- Source 3 (years)
Sample
- N = 10,000 observations
- Panel: 2010-2023
- Geographic coverage
Empirical Strategy
The baseline specification is:
where:
- Y_{it}: Outcome variable
- \text{Treatment}_{it}: Treatment indicator
- X_{it}: Control variables
- \delta_i, \theta_t: Fixed effects
Results
Main Results
| (1) | (2) | (3) | |
|---|---|---|---|
| Treatment | 0.123*** | 0.098** | 0.105** |
| (0.034) | (0.041) | (0.039) | |
| Controls | No | Yes | Yes |
| Fixed Effects | No | No | Yes |
| N | 1,000 | 1,000 | 1,000 |
| R² | 0.15 | 0.23 | 0.31 |
Main regression results
Key Findings
Main Result
The treatment effect is statistically significant at the 1% level.
Robustness
Results are robust to alternative specifications and placebo tests.
Conclusion
Summary
- Main finding: Brief description of the key result
- Policy implications: What this means for policy
- Future research: Next steps and extensions
Thank you for your attention!
email@kse.org.ua
Appendix
Additional Results
Additional tables, figures, or robustness checks go here.
These slides are available for the Q&A session.