You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: _pages/teaching.md
+15-1Lines changed: 15 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -7,8 +7,22 @@ nav: true
7
7
nav_order: 5
8
8
---
9
9
10
+
### The ABCs of Regression Discontinuity
10
11
11
-
# [Drawing Maps in R](https://github.com/marespadafor/drawingmaps)
12
+
This course is designed for researchers with a basic understanding of quantitative analysis but
13
+
willing to deepen into the various statistical and econometric techniques related to causal
14
+
inference analysis. By the end of the course researchers will be able to:
15
+
1. understand and critically engage with terminology and concepts behind causal
16
+
identification.
17
+
2. understand and perform causal inference designs in Stata or R.
18
+
3. critically assess checks and threats of causal inference designs
19
+
20
+
You can read more abour the course [here](https://www.upf.edu/documents/3966940/280241898/ABCs+of+Regression_RECSM_2024.docx.pdf/af2f21d7-2a74-f37e-e50c-f8958404030c?t=1702560541862)
21
+
22
+
#### Tought at RECSM 2024: 01-03 July, Barcelona (Spain)
23
+
#### Tought at TNSQUARE 2023: 26 October, Trento (Italy)
24
+
25
+
### [Drawing Maps in R](https://github.com/marespadafor/drawingmaps)
12
26
13
27
This is an introductory course on spatial data I taught within the CLIC Training workshops as part of the GEOSMITE Project at the European University Institute in 2020.
0 commit comments