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Quasi-Experimental Methods : Technical Track

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Frame of Image dents with high scores on standarized text Fertilizer program targeted to small farms less than given number of hectares)
Discontinuity Design
Compare outcomes Y for units just above and below the cut-off point
Units just above the cut-off point are very similar to units just below it – good comparison.
Cut-off
0
POOR
NON-POOR
Proxy Mean Score
100
Example: Effect of scholarship program on school attendance
Goal Improve school attendance for poor students Me t ho d
o o Households with a score (Pa) of assets ≤50 are poor Households with a score (Pa) of assets >50 are not poor
Intervention Poor households receive scholarships to send children to school
Enrollment
1 enrolled .4 .6 .8
POOR
NON POOR
0
.2
0
10
20
30
40
50 score
60
70
80
90
100
Enrollment
.8 enrolled .6 1
POOR
NON POOR
0
.2
.4
0
10
20
30
40
50 score
60
70
80
90
100
Regression Discontinuity
Design-Baseline
Not eligible Eligible
Regression Discontinuity
Design-Post Intervention
IMPACT
For a Discontinuity Design you need…
1) Continuous eligibility index (e.g. income) 2) Clearly defined cut-off.
Households with a score ≤ cutoff are eligible Households with a score > cutoff are not-eligible Or vice-versa
Example Progresa CCT
Eligibility for Progresa is based on national poverty index Household is poor if score ≤ 750 Eligibility for Progresa:
o o
Eligible if score ≤ 750 Not eligible if score > 750
Example of Progresa
Score vs. consumption at Baseline-No treatment
379.224
Consumption
Fitted values
153.578 276 puntaje estima


Full Text
Title Quasi-Experimental Methods
Similar Titles
Sub Title

Technical Track

Material Type Proceedings
Author(English)

Joost de Laat

Date 2014-05
Event

East Asia Regional Impact Evaluation Wokshop

Pages 97
Language English
File Type Documents
Original Format pdf
Subject Territorial Development
Holding KDI School of Public Policy and Management