01676nas a2200133   4500008004100000245009400041210006900135260002300204520120700227100002201434700002501456700002401481856003701505       2022                        eng d00aClustered local average treatment effects: fields of study and academic student progress 0 aClustered local average treatment effects fields of study and ac  bIZA Working papers3 a<p>Multiple unordered treatments with a binary instrument for each treatment are common in policy evaluation. This multiple treatment setting allows for different types of changes in treatment status that are non-compliant with the activated instrument. Therefore, instrumental variable (IV) methods have to rely on strong assumptions on the subjects' behavior to identify local average treatment effects (LATEs). This paper introduces a new IV strategy that identifies an interpretable weighted average of LATEs under relaxed assumptions, in the presence of clusters with similar treatments. The clustered LATEs allow for shifts across treatment clusters that are consistent with preference updating, but render IV estimation of individual LATEs biased. The clustered LATEs are estimated by standard IV methods, and we provide an algorithm that estimates the treatment clusters. We empirically analyze the effect of fields of study on academic student progress, and find violations of the LATE assumptions in line with preference updating, clusters with similar fields, treatment effect heterogeneity across students, and significant differences in student progress due to fields of study.&nbsp;</p>
1 aNibbering, Didier1 aOosterveen, Matthijs1 aSilva, Pedro, Luís  uhttps://docs.iza.org/dp15159.pdf02524nas a2200373   4500008004100000020005100041245010800092210006900200250001300269260000800282300001100290490000700301520131700308653001701625653001001642653001101652653001101663653000901674653003701683653004501720653001301765653002401778653001601802653004601818100002101864700002301885700001401908700001301922700002601935700001801961700002001979700002001999856013102019       2020                        eng d  a1520-6300 (Electronic)<br/>1042-0533 (Linking)00aThe environment contribution to gender differences in childhood obesity and organized sports engagement0 aThe environment contribution to gender differences in childhood   a20190909  cMar  ae233220 v323 aOBJECTIVE: This study aims to analyze gender-specific associations between sports activity outside of school and obesity, observing to what extent the local built environment contributes to the patterns found. METHODS: A total of 2253 children aged 6.0-11.0 years were assessed: 49.3% girls and 50.7% boys. Children's weight and height were measured, age and sex-specific BMI cut-off points were used to define normal vs overweight/obesity. Children's organized sports (OS) activity was assessed by questionnaire, and local facilities for children's engagement in OS were analyzed. Logistic regression models were computed, adjusted for confounding variables. RESULTS: Results showed greater overweight and obesity (25.1% vs 20.1%) and lower OS engagement (66.5% vs 73.8%) in girls as well as greater impact of OS engagement on weight status in girls (OR for having a normal weight = 1.434 in girls vs 1.043 in boys). Additionally, opportunities to engage in OS were scarce for girls. CONCLUSIONS: The gender gap in children's weight status and OS engagement might be enhanced by an environmental mismatch that undermines girls' opportunities to play sports. There should be more opportunities for girls to engage in their favorite sports as a means to tackle the obesity epidemic and to promote gender equality.10a*Environment10aChild10aFemale10aHumans10aMale10aOverweight/epidemiology/etiology10aPediatric Obesity/*epidemiology/etiology10aPortugal10aRegression Analysis10aSex Factors10aYouth Sports/*statistics & numerical data1 aNogueira, Helena1 aPereira, Margarida1 aCosta, D.1 aGama, A.1 aMachado-Rodrigues, A.1 aSilva, M., R.1 aMarques, V., R.1 aPadez, Cristina  uhttps://www.cipes.pt/environment-contribution-gender-differences-childhood-obesity-and-organized-sports-engagement?language=en00695nas a2200181   4500008004100000245010800041210006900149490000700218100002100225700002300246700001400269700001300283700002600296700001800322700002000340700002000360856013300380       2020                        eng d00aThe environment contribution to gender differences in childhood obesity and organized sports engagement0 aThe environment contribution to gender differences in childhood 0 v321 aNogueira, Helena1 aPereira, Margarida1 aCosta, D.1 aGama, A.1 aMachado-Rodrigues, A.1 aSilva, M., R.1 aMarques, V., R.1 aPadez, Cristina  uhttps://www.cipes.pt/environment-contribution-gender-differences-childhood-obesity-and-organized-sports-engagement-0?language=en00682nas a2200181   4500008004100000022001400041245011900055210006900174100003100243700002100274700002300295700002100318700001600339700002800355700002000383700002600403856007100429       2018                        eng d  a2212-440300aMedication-related osteonecrosis of the jaw: definition and best practice for prevention, diagnosis, and treatment0 aMedicationrelated osteonecrosis of the jaw definition and best p1 aNicolatou-Galitis, Ourania1 aSchiødt, Morten1 aAmaral Mendes, Rui1 aRipamonti, Carla1 aHope, Sally1 aDrudge-Coates, Lawrence1 aNiepel, Daniela1 aVan den Wyngaert, Tim  uhttp://www.sciencedirect.com/science/article/pii/S221244031831193300590nas a2200121   4500008004100000020002800041245012000069210007300189300001000262100002100272700002300293856015200316       2017                        eng d  a2183-4016<br/>0871-162300aEnsaio metodológico para a categorização territorial do município de Lisboa utilizando dados dos censos de 20110 aEnsaio metodológico para a categorização territorial do municípi  a15-261 aNogueira, Helena1 aPereira, Margarida  uhttps://www.cipes.pt/ensaio-metodol%C3%B3gico-para-categoriza%C3%A7%C3%A3o-territorial-do-munic%C3%ADpio-de-lisboa-utilizando-dados-dos?language=en00422nas a2200121   4500008004100000245008200041210006900123300001000192490000600202100002100208700002300229856004800252       2017                        eng d00aTesting a methodologic approach to territory categorization using census data0 aTesting a methodologic approach to territory categorization usin  a35-480 v51 aNogueira, Helena1 aPereira, Margarida  uhttps://doi.org/10.26417/ejms.v5i1.p345-35400442nas a2200109   4500008004100000245012000041210007300161300001000234100002100244700002300265856004400288       2017                        eng d00aEnsaio metodológico para a categorização territorial do município de Lisboa utilizando dados dos censos de 20110 aEnsaio metodológico para a categorização territorial do municípi  a15-261 aNogueira, Helena1 aPereira, Margarida  uhttps://doi.org/10.14195/0871-1623_36_200576nas a2200181   4500008004100000245007400041210006900115260001800184100001500202700001900217700002000236700001300256700002000269700001700289700001600306700002200322856005000344       2016                        eng d00aLearning basic design with virtual reality: A methodological approach0 aLearning basic design with virtual reality A methodological appr  bIATED Academy1 aNeves, Ana1 aNiemeyer, Lucy1 aDuarte, Emília1 aDias, D.1 aAyanoglu, Hande1 aTeixeira, L.1 aSaraiva, M.1 aMartins, Fernando  uhttps://doi.org/10.21125%2Fedulearn.2016.228300373nas a2200121   4500008004100000245006200041210005400103300001000157490000700167100001400174700001600188856004700204       2013                        eng d00aThe Bologna process: Inception, 'take up' and familiarity0 aBologna process Inception take up and familiarity  a59-770 v661 aNeave, G.1 aVeiga, L.G.  uhttps://www.cipes.pt/node/2525?language=en00382nam a2200109   4500008004100000245006700041210006400108260002400172100001400196700001500210856004700225       2011                        eng d00aHigher education in Portugal 1974-2009. 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