. . . "Regression discontinuity design"@en . "In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. By comparing observations lying closely on either side of the threshold, it is possible to estimate the average treatment effect in environments in which randomisation is unfeasible. However, it remains impossible to make true causal inference with this method alone, as it does not automatically reject causal effects by any potential confounding variable. First applied by Donald Thistlethwaite and Donald Campbell (1960) to the evaluation of scholarship programs, the RDD has be"@en . . . "En estad\u00EDstica, econometr\u00EDa, ciencia pol\u00EDtica, epidemiolog\u00EDa y otras disciplinas relacionadas, un dise\u00F1o de regresi\u00F3n discontinua (RDD) es un dise\u00F1o cuasi-experimental pretest-postest que investiga efectos causales de las intervenciones mediante la asignaci\u00F3n de un valor de corte o umbral por encima o por debajo de los cuales una intervenci\u00F3n es asignada. Mediante la comparaci\u00F3n de las observaciones que se extienden estrechamente a ambos lados del umbral, es posible estimar el local de efecto del tratamiento promedio en entornos en los que la aleatorizaci\u00F3n era inviable. En primer lugar aplicada por Donald Thistlewaite y Donald T. Campbell a la evaluaci\u00F3n de los programas de becas,\u200B la RDD se ha convertido cada vez m\u00E1s popular en los \u00FAltimos a\u00F1os.\u200B"@es . . . . . . . . . . "Un disegno con regressione discontinua (in inglese regression discontinuity design, abbreviato in RDD), in statistica, econometria, scienza politica, epidemiologia e altre discipline, \u00E8 una tecnica quasi-sperimentale per verificare l'efficacia di un trattamento confrontando tra fase pre-test e post-test che isola gli effetti causali di interventi assegnando un valore di soglia al di sopra o al di sotto il momento di somministrazione dell'intervento. Confrontando le osservazioni giacenti in prossimit\u00E0 della soglia, \u00E8 possibile stimare l'effetto trattamento medio (average treatment effect, ATE) in contesti in cui la randomizzazione non \u00E8 fattibile. Applicata per la prima volta da Donald Thistlethwaite e Donald Campbell per valutare i programmi di borsa di studio, il RDD \u00E8 diventato negli ultimi anni sempre pi\u00F9 popolare come metodo nella valutazione delle politiche pubbliche."@it . . . . . . . "Un disegno con regressione discontinua (in inglese regression discontinuity design, abbreviato in RDD), in statistica, econometria, scienza politica, epidemiologia e altre discipline, \u00E8 una tecnica quasi-sperimentale per verificare l'efficacia di un trattamento confrontando tra fase pre-test e post-test che isola gli effetti causali di interventi assegnando un valore di soglia al di sopra o al di sotto il momento di somministrazione dell'intervento. Confrontando le osservazioni giacenti in prossimit\u00E0 della soglia, \u00E8 possibile stimare l'effetto trattamento medio (average treatment effect, ATE) in contesti in cui la randomizzazione non \u00E8 fattibile. Applicata per la prima volta da Donald Thistlethwaite e Donald Campbell per valutare i programmi di borsa di studio, il RDD \u00E8 diventato negli ult"@it . . "\u56DE\u5E30\u4E0D\u9023\u7D9A\u30C7\u30B6\u30A4\u30F3"@ja . "Die Regressions-Diskontinuit\u00E4ts-Analyse, bzw. Regressionsdiskontinuit\u00E4tsanalyse (englisch regression discontinuity design) ist ein Verfahren der schlie\u00DFenden Statistik und der \u00D6konometrie, das dazu angewandt wird, um kausale Effekte der Ver\u00E4nderung einer Variablen auf die Ver\u00E4nderung anderer Variablen zu identifizieren. Die grundlegende Idee ist dabei, eine Diskontinuit\u00E4t oder Unstetigkeit in einer beobachteten Kontrollvariable zu nutzen, die zu einer fast zuf\u00E4lligen Zuteilung in die Behandlungs- oder Kontrollgruppe f\u00FChrt. Die Regressions-Diskontinuit\u00E4ts-Analyse geh\u00F6rt, wie der Instrumentvariablen-Ansatz und der Differenz-von-Differenzen-Ansatz zu den Verfahren, die sogenannte \u201Enat\u00FCrliche\u201C oder \u201EQuasi-Experimente\u201C ausnutzen."@de . . . . . "Regressions-Diskontinuit\u00E4ts-Analyse"@de . . . . . "1098351624"^^ . "16722187"^^ . "Nespojit\u00E1 regrese"@cs . . . . . "Nespojit\u00E1 regrese nebo regresn\u00ED diskontinuita, anglicky regression discontinuity design, RDD, je kvaziexperiment\u00E1ln\u00ED design a analytick\u00E1 metoda, umo\u017E\u0148uj\u00EDc\u00ED stanovit kauz\u00E1ln\u00ED vliv intervence v okol\u00ED prahov\u00E9 hodnoty, jej\u00ED\u017E p\u0159ekro\u010Den\u00ED intervenci spou\u0161t\u00ED. Metoda je zalo\u017Eena na porovn\u00E1n\u00ED p\u0159\u00EDpad\u016F pod a nad p\u0159\u00EDslu\u0161n\u00FDm prahem, pokud se tyto p\u0159\u00EDpady jinak navz\u00E1jem podobaj\u00ED \u2013 jejich za\u0159azen\u00ED do skupin s intervenc\u00ED \u010Di bez n\u00ED je v takov\u00E9m p\u0159\u00EDpad\u011B mo\u017Eno pova\u017Eovat za vcelku n\u00E1hodn\u00E9. P\u0159\u00EDklad: na vy\u0161et\u0159en\u00ED mamografem zdarma maj\u00ED v \u010Cesku n\u00E1rok \u017Eeny od v\u011Bku 45 let. Efekt tohoto v\u00FDdaje zdravotn\u00EDch poji\u0161\u0165oven by bylo mo\u017Eno zkoumat porovn\u00E1n\u00EDm nemocnosti rakovinou prsu dvou skupin \u017Een: 1. \u017Eeny mezi 43 a\u017E nedosa\u017Een\u00FDmi 45 lety a 2. \u017Eeny mezi dosa\u017Een\u00FDmi 45 lety a 47 lety (skupina s intervenc\u00ED). Metoda nespojit\u00E9"@cs . "Die Regressions-Diskontinuit\u00E4ts-Analyse, bzw. Regressionsdiskontinuit\u00E4tsanalyse (englisch regression discontinuity design) ist ein Verfahren der schlie\u00DFenden Statistik und der \u00D6konometrie, das dazu angewandt wird, um kausale Effekte der Ver\u00E4nderung einer Variablen auf die Ver\u00E4nderung anderer Variablen zu identifizieren. Die grundlegende Idee ist dabei, eine Diskontinuit\u00E4t oder Unstetigkeit in einer beobachteten Kontrollvariable zu nutzen, die zu einer fast zuf\u00E4lligen Zuteilung in die Behandlungs- oder Kontrollgruppe f\u00FChrt. Die Regressions-Diskontinuit\u00E4ts-Analyse geh\u00F6rt, wie der Instrumentvariablen-Ansatz und der Differenz-von-Differenzen-Ansatz zu den Verfahren, die sogenannte \u201Enat\u00FCrliche\u201C oder \u201EQuasi-Experimente\u201C ausnutzen."@de . . . . . . . . "In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned. By comparing observations lying closely on either side of the threshold, it is possible to estimate the average treatment effect in environments in which randomisation is unfeasible. However, it remains impossible to make true causal inference with this method alone, as it does not automatically reject causal effects by any potential confounding variable. First applied by Donald Thistlethwaite and Donald Campbell (1960) to the evaluation of scholarship programs, the RDD has become increasingly popular in recent years. Recent study comparisons of randomised controlled trials (RCTs) and RDDs have empirically demonstrated the internal validity of the design."@en . . . "\u56DE\u5E30\u4E0D\u9023\u7D9A\u30C7\u30B6\u30A4\u30F3\uFF08\u304B\u3044\u304D\u3075\u308C\u3093\u305E\u304F\u30C7\u30B6\u30A4\u30F3\u3001\u82F1: regression discontinuity design, RDD\uFF09\u3068\u306F\u3001\u7D71\u8A08\u5B66\u3001\u8A08\u91CF\u7D4C\u6E08\u5B66\u3001\u653F\u6CBB\u5B66\u3001\u75AB\u5B66\u3084\u4ED6\u306E\u95A2\u9023\u5206\u91CE\u306B\u304A\u3044\u3066\u3001\u305D\u306E\u70B9\u4EE5\u4E0A\u3082\u3057\u304F\u306F\u4EE5\u4E0B\u3067\u4ECB\u5165\u304C\u306A\u3055\u308C\u308B\u30AB\u30C3\u30C8\u30AA\u30D5\u3082\u3057\u304F\u306F\u95BE\u5024\u3092\u5272\u308A\u5F53\u3066\u308B\u3053\u3068\u3067\u3001\u4ECB\u5165\u306E\u56E0\u679C\u52B9\u679C\u3092\u53D6\u308A\u51FA\u3059\u6E96\u5B9F\u9A13\u7684\u4E8B\u524D\u4E8B\u5F8C\u30C6\u30B9\u30C8\u30C7\u30B6\u30A4\u30F3\u3067\u3042\u308B\u3002\u95BE\u5024\u306E\u4E21\u5074\u306E\u8FD1\u304F\u306B\u4F4D\u7F6E\u3059\u308B\u89B3\u6E2C\u5024\u3092\u6BD4\u8F03\u3059\u308B\u3053\u3068\u3067\u3001\u30E9\u30F3\u30C0\u30E0\u5316\u3067\u304D\u306A\u3044\u74B0\u5883\u306B\u304A\u3051\u308B\u5C40\u6240\u7684\u5E73\u5747\u51E6\u7F6E\u52B9\u679C\u3092\u63A8\u5B9A\u3059\u308B\u3053\u3068\u304C\u53EF\u80FD\u306B\u306A\u308B\u3002\u56DE\u5E30\u4E0D\u9023\u7D9A\u30C7\u30B6\u30A4\u30F3\u306F Donald Thistlewaite \u3068 \u306B\u3088\u308A\u5968\u5B66\u91D1\u30D7\u30ED\u30B0\u30E9\u30E0\u306E\u8A55\u4FA1\u306E\u305F\u3081\u306B\u521D\u3081\u3066\u4F7F\u308F\u308C\u3066\u304B\u3089\u3001\u8FD1\u5E74\u3088\u308A\u4E00\u822C\u7684\u306B\u306A\u3063\u3066\u304D\u3066\u3044\u308B\u3002"@ja . . . . "Nespojit\u00E1 regrese nebo regresn\u00ED diskontinuita, anglicky regression discontinuity design, RDD, je kvaziexperiment\u00E1ln\u00ED design a analytick\u00E1 metoda, umo\u017E\u0148uj\u00EDc\u00ED stanovit kauz\u00E1ln\u00ED vliv intervence v okol\u00ED prahov\u00E9 hodnoty, jej\u00ED\u017E p\u0159ekro\u010Den\u00ED intervenci spou\u0161t\u00ED. Metoda je zalo\u017Eena na porovn\u00E1n\u00ED p\u0159\u00EDpad\u016F pod a nad p\u0159\u00EDslu\u0161n\u00FDm prahem, pokud se tyto p\u0159\u00EDpady jinak navz\u00E1jem podobaj\u00ED \u2013 jejich za\u0159azen\u00ED do skupin s intervenc\u00ED \u010Di bez n\u00ED je v takov\u00E9m p\u0159\u00EDpad\u011B mo\u017Eno pova\u017Eovat za vcelku n\u00E1hodn\u00E9. P\u0159\u00EDklad: na vy\u0161et\u0159en\u00ED mamografem zdarma maj\u00ED v \u010Cesku n\u00E1rok \u017Eeny od v\u011Bku 45 let. Efekt tohoto v\u00FDdaje zdravotn\u00EDch poji\u0161\u0165oven by bylo mo\u017Eno zkoumat porovn\u00E1n\u00EDm nemocnosti rakovinou prsu dvou skupin \u017Een: 1. \u017Eeny mezi 43 a\u017E nedosa\u017Een\u00FDmi 45 lety a 2. \u017Eeny mezi dosa\u017Een\u00FDmi 45 lety a 47 lety (skupina s intervenc\u00ED). Metoda nespojit\u00E9 regrese byla poprv\u00E9 pops\u00E1na Donaldem Thistlethwaitem a Donaldem Campbellem, kte\u0159\u00ED tak vyhodnocovali stipendijn\u00ED programy. P\u0159i vyhodnocen\u00ED se nej\u010Dast\u011Bji pou\u017E\u00EDv\u00E1 lok\u00E1ln\u00ED line\u00E1rn\u00ED regrese ve tvaru kde je pr\u00E1h intervence a je bin\u00E1rn\u00ED prom\u011Bnn\u00E1 rovn\u00E1 jedn\u00E9, pokud . D\u00E1le je \u0161\u00ED\u0159ka intervalu pou\u017Eit\u00FDch dat, tak\u017Ee . Na obou stran\u00E1ch prahu se tak odhaduj\u00ED r\u016Fzn\u00E9 regresn\u00ED koeficienty v\u010Detn\u011B konstantn\u00EDho \u010Dlenu. Pro zp\u0159esn\u011Bn\u00ED v\u00FDsledk\u016F je mo\u017En\u00E9 pou\u017E\u00EDt \u201Etroj\u00FAheln\u00EDkov\u00E9\u201C j\u00E1dro, kter\u00E9 d\u00E1v\u00E1 jednotliv\u00FDm p\u0159\u00EDpad\u016Fm v\u00E1hu line\u00E1rn\u011B klesaj\u00EDc\u00ED s jejich vzd\u00E1lenost\u00ED od interven\u010Dn\u00EDho prahu, t\u0159eba\u017Ee to zt\u011B\u017Euje interpretaci v\u00FDsledk\u016F."@cs . . . . "Disegni con regressione discontinua"@it . . . . "En statistique, \u00E9conomie, science politique et plusieurs autres disciplines, une r\u00E9gression sur discontinuit\u00E9 (RSD), ou regression discontinuity design en anglais, est une m\u00E9thode d'inf\u00E9rence causale. Cette m\u00E9thode se focalise sur les caract\u00E9ristiques des observations de part et d'autre d'un seuil d\u00E9fini par le chercheur."@fr . . "R\u00E9gression sur discontinuit\u00E9"@fr . . . . . "22792"^^ . . "En statistique, \u00E9conomie, science politique et plusieurs autres disciplines, une r\u00E9gression sur discontinuit\u00E9 (RSD), ou regression discontinuity design en anglais, est une m\u00E9thode d'inf\u00E9rence causale. Cette m\u00E9thode se focalise sur les caract\u00E9ristiques des observations de part et d'autre d'un seuil d\u00E9fini par le chercheur. Cette technique fut utilis\u00E9e en premier par et Donald Campbell afin d'\u00E9valuer l'effet des bourses scolaires. Son utilisation a cr\u00FB r\u00E9cemment, sa pertinence \u00E9tant confirm\u00E9e en comparant les r\u00E9sultats obtenus via cette technique avec ceux obtenus via les essais randomis\u00E9s contr\u00F4l\u00E9s."@fr . . . . "Dise\u00F1o de regresi\u00F3n discontinua"@es . "\u56DE\u5E30\u4E0D\u9023\u7D9A\u30C7\u30B6\u30A4\u30F3\uFF08\u304B\u3044\u304D\u3075\u308C\u3093\u305E\u304F\u30C7\u30B6\u30A4\u30F3\u3001\u82F1: regression discontinuity design, RDD\uFF09\u3068\u306F\u3001\u7D71\u8A08\u5B66\u3001\u8A08\u91CF\u7D4C\u6E08\u5B66\u3001\u653F\u6CBB\u5B66\u3001\u75AB\u5B66\u3084\u4ED6\u306E\u95A2\u9023\u5206\u91CE\u306B\u304A\u3044\u3066\u3001\u305D\u306E\u70B9\u4EE5\u4E0A\u3082\u3057\u304F\u306F\u4EE5\u4E0B\u3067\u4ECB\u5165\u304C\u306A\u3055\u308C\u308B\u30AB\u30C3\u30C8\u30AA\u30D5\u3082\u3057\u304F\u306F\u95BE\u5024\u3092\u5272\u308A\u5F53\u3066\u308B\u3053\u3068\u3067\u3001\u4ECB\u5165\u306E\u56E0\u679C\u52B9\u679C\u3092\u53D6\u308A\u51FA\u3059\u6E96\u5B9F\u9A13\u7684\u4E8B\u524D\u4E8B\u5F8C\u30C6\u30B9\u30C8\u30C7\u30B6\u30A4\u30F3\u3067\u3042\u308B\u3002\u95BE\u5024\u306E\u4E21\u5074\u306E\u8FD1\u304F\u306B\u4F4D\u7F6E\u3059\u308B\u89B3\u6E2C\u5024\u3092\u6BD4\u8F03\u3059\u308B\u3053\u3068\u3067\u3001\u30E9\u30F3\u30C0\u30E0\u5316\u3067\u304D\u306A\u3044\u74B0\u5883\u306B\u304A\u3051\u308B\u5C40\u6240\u7684\u5E73\u5747\u51E6\u7F6E\u52B9\u679C\u3092\u63A8\u5B9A\u3059\u308B\u3053\u3068\u304C\u53EF\u80FD\u306B\u306A\u308B\u3002\u56DE\u5E30\u4E0D\u9023\u7D9A\u30C7\u30B6\u30A4\u30F3\u306F Donald Thistlewaite \u3068 \u306B\u3088\u308A\u5968\u5B66\u91D1\u30D7\u30ED\u30B0\u30E9\u30E0\u306E\u8A55\u4FA1\u306E\u305F\u3081\u306B\u521D\u3081\u3066\u4F7F\u308F\u308C\u3066\u304B\u3089\u3001\u8FD1\u5E74\u3088\u308A\u4E00\u822C\u7684\u306B\u306A\u3063\u3066\u304D\u3066\u3044\u308B\u3002"@ja . . . . "En estad\u00EDstica, econometr\u00EDa, ciencia pol\u00EDtica, epidemiolog\u00EDa y otras disciplinas relacionadas, un dise\u00F1o de regresi\u00F3n discontinua (RDD) es un dise\u00F1o cuasi-experimental pretest-postest que investiga efectos causales de las intervenciones mediante la asignaci\u00F3n de un valor de corte o umbral por encima o por debajo de los cuales una intervenci\u00F3n es asignada. Mediante la comparaci\u00F3n de las observaciones que se extienden estrechamente a ambos lados del umbral, es posible estimar el local de efecto del tratamiento promedio en entornos en los que la aleatorizaci\u00F3n era inviable. En primer lugar aplicada por Donald Thistlewaite y Donald T. Campbell a la evaluaci\u00F3n de los programas de becas,\u200B la RDD se ha convertido cada vez m\u00E1s popular en los \u00FAltimos a\u00F1os.\u200B"@es .