On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university

Carrieri, Vincenzo; D'Amato, Marcello; Zotti, Roberto

doi:10.1093/oep/gpv038

Cited by 19 publications

(11 citation statements)

References 42 publications

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“…The identifying assumption behind the DD modeling approach is that the treatment group and the control group customers have similar trends in behavior over time before the intervention (in our context, DBA). To check the validity of this identifying assumption, we conduct a "placebo" test that has been used in the economics literature (Carrieri, D'Amato, and Zotti 2015;Kim, Urpelainen, and Cooper 2015;Puri, Rocholl, and Steffen 2011) by using only the pre-DBA period data and treating the data from the first half of the pre-DBA period as the new pre-DBA period data and the second half of it as the "fake" post-DBA period data. That is, there is no real treatment between the new pre-DBA period and the fake post-DBA period.…”

Section: Falsification Test 1: Placebo Effectmentioning

confidence: 99%

The Effect of a Data Breach Announcement on Customer Behavior: Evidence from a Multichannel Retailer

Janakiraman

Lim

Rishika

2018

Journal of Marketing

145

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In this study, the authors assess the effects of a data breach announcement (DBA) by a multichannel retailer on customer behavior. They exploit a natural experiment and use individual customer transaction data from the retailer to conduct a detailed and systematic empirical examination of the effects of a DBA on customer spending and channel migration behavior. To identify the effects, the authors compare the change in customer behavior before and after the DBA between a treatment group (customers whose information is breached) and a control group (customers whose information is not breached) using the difference-in-differences modeling framework. They find that although the data breach results in a significant decrease in customer spending, customers of the firm migrate from the breached to the unbreached channels of the retailer. The findings further reflect that customers with a higher retailer patronage are more forgiving because the negative effects of the DBA are lower for customers with a higher level of patronage. The authors propose and empirically test for the role of customer data vulnerability as the behavioral mechanism that drives customer behavior subsequent to a DBA. The authors offer prescriptions for managers on how to engage with customers following DBAs.

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Section: Falsification Test 1: Placebo Effectmentioning

confidence: 99%

The Effect of a Data Breach Announcement on Customer Behavior: Evidence from a Multichannel Retailer

Janakiraman

Lim

Rishika

2018

Journal of Marketing

145

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“…Mealli, Rampichini (2012) analyse the effect of grants with regression discontinuity design, and show that at the threshold, grants contribute preventing dropout. Carrieri et al (2015) analyse the influence of admission policies on retention and find that a stronger selection at entrance considerably reduces dropout risks. The literature on time to degree is scant.…”

Section: Evidence On Italymentioning

confidence: 99%

Social selection in higher education. Enrolment, dropout and timely degree attainment in Italy

2017

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In this paper, we provide a picture of social selection throughout higher education in Italy, analysing a retrospective survey held in 2011 on the cohort of high school graduates 2007. We study enrolment, university system dropout and timely completion. Firstly, we model each outcome with separate logistic regressions, to examine the direct and indirect role of socioeconomic background via prior schooling. Secondly, we jointly analyse these results: by plotting the estimates of the retention probability (given enrolment) against the enrolment probability for subgroups of children by socio-demographic characteristics and prior schooling, we visualize the degree to which the disadvantage related to university enrolment also relates to retention, and acknowledge the existence of impressive inequalities. Thirdly, we jointly analyse retention and timely completion, and find that these two outcomes are affected differently by individual factors. Lastly, we examine the role of labour market conditions on higher education outcomes at the onset of the recent economic crisis: youth unemployment rates were negatively related to enrolment, timely completion and retention. The negative relation with retention suggests that there is little evidence in favour of explanations of dropout referring to labour market "pulling out" students from the university system.

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“…Francesconi et al (2011) leverage a reform introducing selective admissions in a large private university in northern Italy and do not find any improvement in student performance, a result that they relate to the existence of several enrolment alternatives available to students. This finding seems to be confirmed by Carrieri et al (2015), who instead report positive effects of a similar reform implemented in a public university in southern Italy, in an area where students had very few alternatives for pursuing university studies. In addition, the way teaching activities, exams and graduation sessions are organized during the academic year affects student performance.…”

Section: Institutional Determinants Of Student Dropout and Progressionmentioning

confidence: 65%

Degree-Level Determinants of University Student Performance

Bratti

Barbato

Biancardi

et al. 2022

Teaching, Research and Academic Careers

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Although features of the higher education degree programmes in which students are enrolled are likely to have an impact on their academic careers, primarily because of data limitations, research has mainly focused on individual, household and higher education institution drivers of student performance. To fill this knowledge gap, this chapter presents a study using administrative data on the complete supply of higher education degrees in Italy during 2013–2018 to carry out an analysis of the degree-programme determinants of university student performance, as measured by the National Agency for the Evaluation of the University System and Research (ANVUR) ‘quality’ indicators. After controlling for detailed degree subject–geographic macro-area fixed effects, our analysis uncovers several significant degree-programme predictors of university student performance, including the degree’s type of access (i.e. selectivity), language of instruction, composition of the teaching body, percentage of teachers in ‘core’ subjects, teachers’ research performance (for master degrees) and university spatial competition.

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On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university

Cited by 19 publications

References 42 publications

The Effect of a Data Breach Announcement on Customer Behavior: Evidence from a Multichannel Retailer

The Effect of a Data Breach Announcement on Customer Behavior: Evidence from a Multichannel Retailer

Social selection in higher education. Enrolment, dropout and timely degree attainment in Italy

Degree-Level Determinants of University Student Performance

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