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Causal Inference on Education Policies: A Survey of Empirical Studies Using PISA, TIMSS and PIRLS

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Cordero Ferrera, José Manuel and Cristóbal, Víctor and Santín González, Daniel (2017) Causal Inference on Education Policies: A Survey of Empirical Studies Using PISA, TIMSS and PIRLS. [ Munich Personal RePEc Archive; nº 76295, ]

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Official URL: https://mpra.ub.uni-muenchen.de/76295/3/MPRA_paper_76295.pdf



Abstract

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasiexperimental techniques applied to three well-known international large-scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004-2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.


Item Type:Working Paper or Technical Report
Additional Information:

Publicado como artículo:
José M. Cordero, Ví­ctor Cristóbal y Daniel Santí­n, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
https://doi.org/10.1111/joes.12217

Uncontrolled Keywords:Literature review, Education, Causal Inference, Selection-bias, International assessments
Subjects:Sciences > Statistics
Sciences > Statistics > Econometrics
Social sciences > Economics > Public economy
Humanities > Education
Series Name:Munich Personal RePEc Archive
Volume:
Number:76295
ID Code:60405
Deposited On:07 May 2020 11:46
Last Modified:09 Jun 2020 11:58

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