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Research Article
Open Access

Politics Matter: How Political Experience Mitigates Learning Losses Caused by Natural Disasters

Manuel Alcaino, Pablo Argote
RSF: The Russell Sage Foundation Journal of the Social Sciences January 2024, 10 (1) 181-204; DOI: https://doi.org/10.7758/RSF.2024.10.1.08
Manuel Alcaino
aRegional advisor at the UNESCO Institute for Statistics
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Pablo Argote
bPostdoctoral scholar in the Department of Political Science and International Relations, University of Southern California, United States
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    Figure 1.

    Timeline of Election and Education Data

    Source: Authors’ compilation.

  • Figure 2.
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    Figure 2.

    Short-Term Effect of 2010 Earthquake on Math Academic Achievement

    Source: Authors’ tabulation based on SIMCE (2007–2012); MINEDUC (2006–2012).

    Note: The coefficients representing the DID estimates using 2009 as the baseline year and low-exposure schools as the reference category. These are equivalent to model 1 in table 1. The models are covariate-adjusted and encompass the entire sample of students from all types of schools. Standard errors are clustered at the school level. Coefficients 95 percent confidence intervals.

  • Figure 3.
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    Figure 3.

    Short and Long-Term Effect of 2010 Earthquake on School Budget Execution

    Source: Authors’ tabulation based on MINEDUC (2008–2012); SIMCE (2009–2012); SERVEL (2008).

    Note: The figure shows the interacted DID model plotting two parameters: τ, τ + θ as equation (2)shows. Coefficients represent the effect of high-intensity exposure on school budget execution (as percentage of the total public resources assigned to the school) using 2009 as the baseline year and low-exposure schools as the reference category. The analysis is restricted to students in municipal schools. Coefficients include 90 percent and 95 percent confidence intervals. Standard errors are clustered at the municipal level.

  • Figure A.1.
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    Figure A.1.

    Differential in Earthquake Effect on Math Scores Between Reelected and Not Reelected Mayors (Different Bandwidths)

    Source: Authors’ tabulation based on MINEDUC (2008–2010); SIMCE (2009–2010); SERVEL (2008).

    Note: Plotted coefficients represent the differential in the earthquake effect on math scores between reelected and not reelected mayors, using a continuous measure of earthquake intensity (described in the robustness checks section). The x-axis represents different bandwidths (margin of victory). Models are weighted using a triangular kernel. Standard errors are clustered at the municipal level. The analysis is restricted to students in municipal schools. Standard errors are clustered at the municipal level.

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RSF: The Russell Sage Foundation Journal of the Social Sciences: 10 (1)
RSF: The Russell Sage Foundation Journal of the Social Sciences
Vol. 10, Issue 1
1 Jan 2024
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Politics Matter: How Political Experience Mitigates Learning Losses Caused by Natural Disasters
Manuel Alcaino, Pablo Argote
RSF: The Russell Sage Foundation Journal of the Social Sciences Jan 2024, 10 (1) 181-204; DOI: 10.7758/RSF.2024.10.1.08

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Politics Matter: How Political Experience Mitigates Learning Losses Caused by Natural Disasters
Manuel Alcaino, Pablo Argote
RSF: The Russell Sage Foundation Journal of the Social Sciences Jan 2024, 10 (1) 181-204; DOI: 10.7758/RSF.2024.10.1.08
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  • Article
    • Abstract
    • CHILEAN EDUCATIONAL SYSTEM
    • THE 2010 EARTHQUAKE
    • DATA AND MEASURES
    • SAMPLE AND DATA STRUCTURE
    • EMPIRICAL STRATEGY
    • RESULTS
    • HETEROGENEOUS EFFECTS BY MAYOR’S TENURE IN OFFICE
    • MECHANISMS
    • ROBUSTNESS CHECKS
    • DISCUSSION
    • Appendices
    • FOOTNOTES
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

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Keywords

  • natural disasters
  • 2010 Chilean earthquake
  • student achievement
  • political experience

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