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Lessons from the PACES Voucher Program in Colombia

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Title: Lessons from the PACES Voucher Program in Colombia


1
Lessons from the PACES Voucher Program in
Colombia
  • Eric Bettinger, Case Western Reserve
  • November 17, 2005
  • Federal Reserve Bank of Cleveland

2
BACKGROUND WHY VOUCHERS? WHY COLOMBIA?
  • As in many LDCs, Colombian enrollment rates drop
    sharply between primary and secondary grades,
    especially for the poor.
  • As is in other LDCs, private enrollment in
    Colombia is substantial, even for low-income
    children.
  • Public school quality is low, with poorly trained
    teachers, and a shortage of secondary school
    spots.
  • This generated calls for demand-side financing
    initiatives such as vouchers.

3
Enrollment Rates in Colombia, 1993

Source Sanchez and Mendes, 1995
4
THE PACES VOUCHER PROGRAM
  • Objectives
  • Increase enrollment and attainment
  • Part of a general reform/decentralization
  • Rules
  • Applicants entering 6th grade under 16 attended
    a public primary school admitted to a
    participating private secondary school
  • Renewable through graduation conditional on
    academic progress
  • Awarded by lottery when over-subscribed
  • Gold Standard in Research
  • Simplicity

5
PROGRAM DETAILS
  • Ran from 1992-97 125,00 vouchers awarded
  • Elite private schools opted out participating
    schools about like public
  • Voucher and tuition amounts
  • Private school fees ran about US350/year in 1998
    (for PACES applicants in our data), as did public
    expenditure/pupil
  • The voucher was worth about US190

6
SOURCES OF FOLLOW-UP INFORMATION
  • Complete and accurate follow-up is the holy grail
    in research on education interventions
  • Samples of adults rarely capture information on
    respondents childhood school environment
  • Children are difficult to track families are
    highly mobile
  • We collected data using a survey, achievement
    tests, and administrative records from college
    admissions testing (ICFES)

7
TIMELINE
  • Bogotá 1995 applicants (Calendar A school year)
  • Date Activity Grade
  • (w/no repetition)
  • CY 1994 Apply
  • Feb. 1995 Start school 6th
  • Feb. 1996 Start school 7th
  • Feb. 1997 Start school 8th
  • Feb. 1998 Start school 9th
  • Feb. 1999 Start school 10th
  • Take ICFES exam
  • Feb. 2000 Start school 11th
  • Feb. 2001 College

8
PREVIOUS RESULTS (SURVEY)
  • Private School Attendance
  • Voucher Winners More Likely to Attend Private
    School
  • 94 Percent of Unsuccessful Voucher Applicants
    Attended Private School in Year After Lottery
  • By three years, 54 percent of Control Group and
    70 percent of Treatment Group in Private
    Schools.
  • Educational Attainment
  • Voucher winners had completed 0.2 years more of
    schooling
  • No differences in dropout rates
  • Large differences in grade repetition
  • 25 percent less likely to have repeated 6th grade
  • Voucher Winners Score One Grade Level Higher on
    Standardized Exams
  • Results are Robust to a Variety of Statistical
    Specifications

9
LONG RUN CONCERNS
  • Effects Observed after 3 Years
  • 1/2 of Voucher Winners No Longer Using Voucher
    after 3 Years
  • No Difference in Attendance Rates
  • Ambiguity of repetition result.
  • Reliance on Survey Data and Response Bias
  • Response Rates around 55

10
WHY ADMINISTRATIVE RECORDS?
  • All college entrants and most high school grads
    take the ICFES college entrance exams. We use
    ICFES registration status and test scores as an
    outcome.
  • Advantages
  • Long-term outcome of major significance
  • No need to survey no loss to follow-up
  • Disadvantages
  • Score outcomes may be hard to interpret
  • Differential record-keeping by win/loss status
    may generate a spurious treatment effect

11
EVALUATION STRATEGIES
  • ICFES registration to proxy high-school
    graduation
  • Matching Strategies
  • Importance of Accurate Record Keeping and
    Randomization
  • Key Results
  • 30 Percent of Voucher Applicants Take ICFES Exam
  • Voucher winners 7 Percentage Points More Likely
    to Take the ICFES Exam

12
EVALUATION STRATEGIES (cont.)
  • Conditional-on-registration score effects
  • We look at test scores among those who were
    tested.
  • These are clearly contaminated by selection bias
    since vouchers affect testing probability.
  • The resulting bias probably masks positive
    effects we consider a number of selection
    corrections

13
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16
EVIDENCE FOR NEGATIVE BIAS
  • In our 2002 study, the likelihood of taking our
    test is the same by win/loss status (since we
    tested everyone)
  • Voucher Winners Scored One Grade Level Higher
  • Limiting this sample to the 44 of tested
    students who also took the ICFES does not
    generate any voucher effect
  • Students who would not have taken the college
    entrance exam but do so because of the voucher
    have lower ability than other students who took
    the exam

17
Correcting the Bias?
  • Difficult Statistically
  • Make Assumptions about Non-Takers
  • Create Upper and Lower Bounds
  • Possible to Estimate the Effect at Different
    Points in the Distribution
  • Effect of Voucher on Test Scores on Average
  • Effect of Voucher on Students above the 90th
    percentile
  • Above the 75th percentile
  • Key Results
  • Voucher Winners Score Higher on Average and at
    Each Point in the Voucher Distribution

18
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19
Voucher Mechanisms
  • Private Schooling
  • Change in Peer Groups
  • Income Shocks
  • Student Incentives
  • Other Mechanisms?

20
Vocational School Voucher Applicants
  • Voucher Losers switch to Academic Schools
  • Voucher Winners 18 percentage points more likely
    to be in Vocational School
  • Vocational Schools had inferior quality
  • Lower ICFES scores
  • Lower Proportion of Students Eventually Taking
    ICFES
  • Voucher winners have better ICFES outcomes

21
CONCLUSIONS
  • Angrist, et al (2002) Voucher winners completed
    more schooling much of this is due to reduced
    grade repetition.
  • Winners more likely to take college entrance
    exam (5-7 pts) and hence to graduate high school.
    This suggests additional learning and lasting
    benefits.
  • Naive score contrasts are compromised by
    selection bias. Corrected estimates show a
    strong treatment effect (.2s) non-parametric
    corrections generate similar results.
  • Voucher may not affect students through school
    quality. Voucher winners who had applied to
    vocational schools perform better on ICFES
    despite lower quality schools.

22
Postlude
  • Power of Randomization
  • Difference is Randomization and Careful Record
    Keeping
  • Administrative Data and Follow-up
  • Colombia as a Pioneer in Implementing Social
    Policy Allowing for Randomization
  • World Banks Implementation Strategies
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