Ebalance: A Stata Package for Entropy Balancing

Hainmueller, Jens; Xu, Yiqing

doi:10.2139/ssrn.1943090

Cited by 252 publications

(247 citation statements)

References 21 publications

(12 reference statements)

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“…While we view this work as a step towards understanding the linkages between emigration and the different subjective well-being dimensions (evaluative well-being, positive hedonic 17 We rely on the user-written command ebalance in Stata (Hainmueller and Xu 2013). 18 More precisely, entropy balancing is more efficient and reduces covariate imbalance compared with techniques such as propensity score matching (PSM).…”

Section: Limitationsmentioning

confidence: 99%

Emigration, remittances, and the subjective well-being of those staying behind

2018

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We offer the first global perspective on the well-being consequences of emigration for those staying behind using several subjective well-being measures (evaluations of best possible life, positive affect, stress, and depression). Using the Gallup World Poll data for 114 countries during 2009-2011, we find that having family members abroad is associated with greater evaluative well-being and positive affect, and receiving remittances is linked with further increases in evaluative well-being, especially in poorer contexts-both across and within countries. We also document that having household members abroad is linked with increased stress and depression, which are not offset by remittances. The out-migration of family members appears less traumatic in countries where migration is more common, indicating that people in such contexts might be able to cope better with separation. Overall, subjective well-being measures, which reflect both material and non-material aspects of life, furnish additional insights and a wellrounded picture of the consequences of emigration on migrant family members staying behind relative to standard outcomes employed in the literature, such as the leftbehind's consumption, income, or labor market outcomes.

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Section: Limitationsmentioning

confidence: 99%

Emigration, remittances, and the subjective well-being of those staying behind

2018

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“…Entropy balancing achieves balance over specified moments of selected covariates by deriving sample weights. The retrieved weights are then used in subsequent weighted estimations (Hainmueller, 2011;Hainmueller and Xu, 2013). Intuitively, this can be understood as the creation of a synthetic control group, where the observations in the control group are reweighted so that their specified sample moments mimic those of the treatment group as closely as possible (cf.…”

Section: Estimation Approach and Identificationmentioning

confidence: 99%

The Organizational Design of High-Tech Startups and Product Innovation

Grimpe¹,

Murmann

Sofka³

2018

Proceedings

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. AbstractWe investigate whether appointing a middle management level affects startups' innovation performance. Additional hierarchical levels are often suspected to restrict innovative activities. However, founders' capacities for information processing and resource allocation are usually strongly limited while, at the same time, R&D decisions are among the most consequential choices of startups. We argue that middle management is positively related to introducing product innovations because it improves the success rates from recombining existing knowledge as well as managing R&D personnel. In addition, we suggest that the effectiveness of these mechanisms depends on the riskiness of a startup's business opportunity. Based on a sample of German high-tech startups, we find support for our conjectures.

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“…However, irrespective of the significance of these differences, the size of some of the differences may trigger concerns about the comparability of treatment and control group students. In order to increase the similarity of treated and control group students we rerun our estimation using entropy balancing weights (Hainmueller, 2012;Hainmueller and Xu, 2013). Entropy balancing weights reweigh control group students such that a set of pre-specified moment conditions are equal across treatment status.…”

Section: Robustness Testsmentioning

confidence: 99%

Intended college enrollment and educational inequality: Do students lack information?

Peter

Zambre

2017

Economics of Education Review

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractDespite increasing access to university education, students from disadvantaged or non-academic family backgrounds are still underrepresented at universities. In this regard, the economic literature mainly studies the effect of financial constraints on post-secondary educational decisions. Our knowledge on potential effects of other constraints regarding university education is more limited. We investigate the causal relationship between information and educational expectations using data from a German randomized controlled trial in which students in high schools were treated with information on the benefits as well as on different funding possibilities for university education. We find that the provision of information increases intended college enrollment for students from a non-academic family background, while it leads students from academic backgrounds to lower their enrollment intentions. Our results suggest that educational inequality can be reduced by providing students with relevant information, while simultaneously improving post-secondary education matches.Keywords: Randomized Controlled Trial, Information Deficit, Educational Expectation, College Enrollment, Educational Inequality JEL: I21, I24, J24$ We especially thank our colleagues from the project team at DIW Berlin -C. Katharina Spieß, Johanna Storck, and Mathias Huebener; and at WZB -Heike Solga, Alessandra Rusconi, Claudia Finger, and Martin Ehlert. Moreover, we thank Susan Dynarski, Brian McCall and Astrid Würtz Rasmussen as well as participants of the 6th IWAEE conference, the 4th SOLE/EALE world conference, the 2015 EEA Annual Congress and the 2016 AEA Annual Meeting for valuable comments. We gratefully acknowledge funding from the Einstein Foundation Berlin (A-2010-025 (FU)). The usual disclaimer applies.

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Ebalance: A Stata Package for Entropy Balancing

Cited by 252 publications

References 21 publications

Emigration, remittances, and the subjective well-being of those staying behind

Emigration, remittances, and the subjective well-being of those staying behind

The Organizational Design of High-Tech Startups and Product Innovation

Intended college enrollment and educational inequality: Do students lack information?

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