回帰不連続デザイン
出典: フリー百科事典『ウィキペディア（Wikipedia）』 (2023/01/26 15:12 UTC 版)
回帰不連続デザイン（かいきふれんぞくデザイン、英: regression discontinuity design, RDD）とは、統計学、計量経済学、政治学、疫学や他の関連分野において、その点以上もしくは以下で介入がなされるカットオフもしくは閾値を割り当てることで、介入の因果効果を取り出す準実験的事前事後テストデザインである。閾値の両側の近くに位置する観測値を比較することで、ランダム化できない環境における局所的平均処置効果を推定することが可能になる。回帰不連続デザインは Donald Thistlewaite と Donald Campbell により奨学金プログラムの評価のために初めて使われて[1]から、近年より一般的になってきている[2]。
- ^ Thistlewaite, D.; Campbell, D. (1960), “Regression-Discontinuity Analysis: An alternative to the ex post facto experiment”, Journal of Educational Psychology 51 (6): 309–317, doi:10.1037/h0044319
- ^ Imbens, G.; Lemieux, T. (2008), “Regression Discontinuity Designs: A Guide to Practice”, Journal of Econometrics 142 (2): 615–635, doi:10.1016/j.jeconom.2007.05.001
- ^ a b Fan; Gijbels (1996). Local Polynomial Modelling and Its Applications. London: Chapman and Hall. ISBN 0-412-98321-4
- ^ a b c d Lee, David S.; Lemieux, Thomas (2010), “Regression Discontinuity Designs in Economics”, Journal of Economic Literature 48 (2): 281–355, doi:10.1257/jel.48.2.281
- ^ Porter (2003), “Estimation in the Regression Discontinuity Model”, Unpublished Manuscript
- ^ Duflo, Esther (2003), “Grandmothers and Granddaughters: Old-age Pensions and Intrahousehold Allocation in South Africa”, World Bank Economic Review 17 (1): 1–25, doi:10.1093/wber/lhg013
- ^ a b Carpenter, Christopher; Dobkin, Carlos (2011), “The Minimum Legal Drinking Age and Public Health”, Journal of Economic Perspectives 25 (2): 133–156, doi:10.1257/jep.25.2.133, JSTOR 23049457, PMC 3182479, PMID 21595328
- ^ a b Lee, David S. (2008), “Randomized Experiments from Non-random Selection in U.S. House Elections”, Journal of Econometrics 142 (2): 675–697, doi:10.1016/j.jeconom.2007.05.004
- ^ Moss, B. G.; Yeaton, W. H.; Lloyd, J.E. (2014), “Evaluating the Effectiveness of Developmental Mathematics by Embedding a Randomized Experiment Within a Regression Discontinuity Design.”, Educational Evaluation and Policy Analysis 36 (2): 170–185, doi:10.3102/0162373713504988
- ^ a b Lee, David S.; Moretti, Enrico; Butler, Matthew J. (2004), “Do Voters Affect or Elect Policies? Evidence from the U.S. House”, Quarterly Journal of Economics 119 (3): 807–859, doi:10.1162/0033553041502153
- ^ a b McCrary, Justin (2008), “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test”, Journal of Economic Literature 142 (2): 698–714, doi:10.1016/j.jeconom.2007.05.005
- ^ Rubin, Donald B. (1977), “Assignment to Treatment on the Basis of a Covariate”, Journal of Educational and Behavioural Statistics 2 (1): 1–26, doi:10.3102/10769986002001001
- ^ Shadish, William R.; Clark, M. H.; Steiner, Peter M. (2008), “Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments”, Journal of the American Statistical Association 103 (484): 1334, doi:10.1198/016214508000000733
- ^ Moss, B. G.; Yeaton, W. H.; Lioyd, J. E. (2013), “Evaluating the Effectiveness of Developmental Mathematics by Embedding a Randomized Experiment Within a Regression Discontinuity Design”, Educational Evaluation and Policy Analysis 36 (2): 170, doi:10.3102/0162373713504988
- ^ Angrist, J. D.; Pischke, J.-S. (2008). “Getting a Little Jumpy: Regression Discontinuity Designs”. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. pp. 251–268. ISBN 978-0-691-12035-5
- ^ Nielsen, H. S.; Sørensen, T.; Taber, C. R. (2010), “Estimating the Effect of Student Aid on College Enrollment: Evidence from a Government Grant Policy Reform”, American Economic Journal: Economic Policy 2 (2): 185–215, doi:10.1257/pol.2.2.185, JSTOR 25760068
- ^ Card, David; Lee, David S.; Pei, Zhuan; Weber, Andrea (2012), “Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design”, NBER Working Paper No. w18564, SSRN 2179402
[続きの解説]
「回帰不連続デザイン」の続きの解説一覧
- 1 回帰不連続デザインとは
- 2 回帰不連続デザインの概要
- 3 長所
- 4 参考文献
- 5 関連項目
- 回帰不連続デザインのページへのリンク
