×

Testing identifying assumptions in fuzzy regression discontinuity designs. (English) Zbl 07554997


MSC:

62-XX Statistics
Full Text: DOI

References:

[1] Andrews, D. W. K. and X.Shi (2013), “Inference based on conditional moment inequalities.” Econometrica, 81 (2), 609-666. · Zbl 1274.62311
[2] Andrews, D. W. K. and X.Shi (2014), “Nonparametric inference based on conditional moment inequalities.” Journal of Econometrics, 179 (1), 31-45. · Zbl 1293.62065
[3] Andrews, D. W. K. and G.Soares (2010), “Inference for parameters defined by moment inequalities using generalized moment selection.” Econometrica, 78 (1), 119-157. · Zbl 1185.62040
[4] Angrist, J. D. and V.Lavy (1999), “Using Maimonides” rule to estimate the effect of class size on scholastic achievement.” Quarterly Journal of Economics, 114 (2), 533-575.
[5] Angrist, J. D., V.Lavy, J.Leder‐Luis, and A.Shany (2019), “Maimonides rule redux.” American Economic Review Insights, 1, 309-324.
[6] Arai, Y., Y.‐C.Hsu, T.Kitagawa, I.Mourifié, Y.Wan (2022), “Supplement to ‘Testing identifying assumptions in fuzzy regression discontinuity designs’.” Quantitative Economics Supplemental Material, 13, https://doi.org/10.3982/QE1367. · Zbl 07554997 · doi:10.3982/QE1367
[7] Arai, Y. and H.Ichimura (2016), “Optimal bandwidth selection for the fuzzy regression discontinuity estimator.” Economics Letters, 141, 103-106. · Zbl 1398.62204
[8] Armstrong, T. B. and H. P.Chan (2016), “Multiscale adaptive inference on conditional moment inequalities.” Journal of Econometrics, 194(1), 24-43. · Zbl 1431.62181
[9] Balke, A. and J.Pearl (1997), “Bounds on treatment effects from studies with imperfect compliance.” Journal of the American Statistical Association, 92 (439), 1171-1176. · Zbl 0888.62049
[10] Barrett, G. F. and S. G.Donald (2003), “Consistent tests for stochastic dominance.” Econometrica, 71, 71-104. · Zbl 1137.62332
[11] Bertanha, M. and G. W.Imbens (2020), “External validity in fuzzy regression discontinuity designs.” Journal of Business & Economic Statistics, 38, 593-612.
[12] Bierens, H. J. (1982), “Consistent model specification tests.” Journal of Econometrics, 20 (1), 105-134. · Zbl 0549.62076
[13] Bugni, F. A. and I. A.Canay (2021), “Testing continuity of a density via g‐order statistics in the regression discontinuity design.” Journal of Econometrics, 221 (1), 138-159. · Zbl 1464.62270
[14] Calonico, S., M. D.Cattaneo, and M. H.Farrell (2018), “On the effect of bias estimation on coverage accuracy in nonparametric inference.” Journal of the American Statistical Association, 113 (522), 767-779. · Zbl 1398.62113
[15] Calonico, S., M. D.Cattaneo, and M. H.Farrell (2020), “Optimal bandwidth choice for robust bias‐corrected inference in regression discontinuity designs.” The Econometrics Journal, 23 (2), 192-210. · Zbl 07546364
[16] Calonico, S., M. D.Cattaneo, and R.Titiunik (2014), “Robust nonparametric confidence intervals for regression‐discontinuity designs.” Econometrica, 82 (6), 2295-2326. · Zbl 1410.62066
[17] Canay, I. A. and V.Kamat (2018), “Approximate permutation tests and induced order statistics in the regression discontinuity design.” Review of Economic Studies, 85, 1577-1608. · Zbl 1409.62095
[18] Carneiro, P. and R.Ginja (2014), “Long‐term impacts of compensatory preschool on health and behavior: Evidence from head start.” American Economic Journal: Economic Policy, 6 (4), 135-173.
[19] Cattaneo, M. D., and J. C.Escanciano, eds (2017), Regression Discontinuity Designs: Theory and Applications. Advances in Econometrics, Vol. 38. Emerald Group Publishing. · Zbl 1448.62010
[20] Cattaneo, M. D., M.Jansson, and X.Ma (2020), “Simple local polynomial density estimators.” Journal of the American Statistical Association, 115 (531), 1449-1455. · Zbl 1441.62091
[21] Cattaneo, M. D., L.Keele, R.Titiunik, and G.Vazquez‐Bare (2016), “Interpreting regression discontinuity designs with multiple cutoffs.” Journal of Politics, 78 (4), 1229-1248.
[22] Chernozhukov, V., S.Lee, and A. M.Rosen (2013), “Intersection bounds: Estimation and inference.” Econometrica, 81 (2), 667-737. · Zbl 1274.62233
[23] Chetverikov, D. (2018), “Adaptive tests of conditional moment inequalities.” Econometric Theory, 34 (1), 186-227. · Zbl 1441.62105
[24] Dell, M. (2010), “The persistent effects of Peru”s mining mita.” Econometrica, 78 (6), 1863-1903.
[25] Donald, S. G. and Y.‐C.Hsu (2016), “Improving the power of tests of stochastic dominance.” Econometric Reviews, 35 (4), 553-585. · Zbl 1491.62202
[26] Dong, Y. (2018), “Alternative assumptions to identify LATE in fuzzy regression discontinuity designs.” Oxford Bulletin of Economics and Statistics, 80 (5), 1020-1027.
[27] Dong, Y. and A.Lewbel (2015), “Identifying the effect of changing the policy threshold in regression discontinuity models.” Review of Economics and Statistics, 97 (5), 1081-1092.
[28] Eugster, B., R.Lalive, A.Steinhauer, and J.Zweimüller (2017), “Culture, work, attitudes, and job search: Evidence from the Swiss language border.” Journal of the European Economic Association, 15 (5), 1056-1100.
[29] Frandsen, B. R., M.Frölich, and B.Melly (2012), “Quantile treatment effects in the regression discontinuity design.” Journal of Econometrics, 168 (2), 382-395. · Zbl 1443.62448
[30] Gerard, F., M.Rokkanen, and C.Rothe (2020), “Bounds on treatment effects in regression discontinuity designs with a manipulated running variable.” Quantitative Economics, 11, 839-870. · Zbl 1466.91257
[31] Hahn, J., P.Todd, and W.Van der Klaauw (2001), “Identification and estimation of treatment effects with a regression‐discontinuity design.” Econometrica, 69 (1), 201-209.
[32] Hansen, B. E. (1996), “Inference when a nuisance parameter is not identified under the null hypothesis.” Econometrica, 64 (2), 413-430. · Zbl 0862.62090
[33] Hansen, P. R. (2005), “A test for superior predictive ability.” Journal of Business & Economic Statistics, 23, 365-380.
[34] Hastings, J. S., C. A.Neilson, and S. D.Zimmerman (2014), “Are some degrees worth more than others? Evidence from college admission cutoffs in Chile.” NBER working paper, (19241).
[35] Heckman, J. J. and E.Vytlacil (2005), “Structural equations, treatment effects, and econometric policy evaluation.” Econometrica, 73 (3), 669-738. · Zbl 1152.62406
[36] Holm, S. (1979), “A simple sequentially rejective multiple test procedure.” Scandinavian journal of statistics, 6 (2), 65-70. · Zbl 0402.62058
[37] Imbens, G. W. and J. D.Angrist (1994), “Identification and estimation of local average treatment effects.” Econometrica, 62 (2), 467-475. · Zbl 0800.90648
[38] Imbens, G. W. and K.Kalyanaraman (2012), “Optimal bandwidth choice for the regression discontinuity estimator.” The Review of Economic Studies, 79 (3), 933-959. · Zbl 1409.62089
[39] Imbens, G. W. and T.Lemieux (2008), “Regression discontinuity designs: A guide to practice.” Journal of Econometrics, 142 (2), 615-635. · Zbl 1418.62475
[40] Imbens, G. W. and D. B.Rubin (1997), “Estimating outcome distributions for compliers in instrumental variables models.” The Review of Economic Studies, 64 (4), 555-574. · Zbl 0887.90041
[41] Keele, L. J. and R.Titiunik (2015), “Geographic boundaries as regression discontinuities.” Political Analysis, 23, 127-155.
[42] Kirkeboen, L. J., E.Leuven, and M.Mogstad (2016), “Field of study, earnings, and self‐selection.” Quarterly Journal of Economics, 131 (3), 1057-1111.
[43] Kitagawa, T. (2015), “A test for instrument validity.” Econometrica, 83 (5), 2043-2063. · Zbl 1410.62042
[44] Kolesár, M. and C.Rothe (2018), “Inference in regression discontinuity designs with a discrete running variable.” American Economic Review, 108 (8), 2277-2304.
[45] Lee, D. S. (2008), “Randomized experiments from non‐random selection in US House elections.” Journal of Econometrics, 142 (2), 675-697. · Zbl 1418.62500
[46] Lee, D. S. and T.Lemieux (2010), “Regression discontinuity designs in economics.” Journal of Economic Literature, 48 (2), 281-355.
[47] Linton, O., K.Song, and Y.‐J.Whang (2010), “An improved bootstrap test of stochastic dominance.” Journal of Econometrics, 154 (2), 186-202. · Zbl 1431.62190
[48] McCrary, J. (2008), “Manipulation of the running variable in the regression discontinuity design: A density test.” Journal of Econometrics, 142 (2), 698-714. · Zbl 1418.62142
[49] Miller, G., D.Pinto, and M.Vera‐Hernández (2013), “Risk protection, service use, and health outcomes under Colombia”s health insurance program for the poor.” American Economic Journal: Applied Economics, 5 (4), 61-91.
[50] Mourifié, I. and Y.Wan (2017), “Testing local average treatment effect assumptions.” Review of Economics and Statistics, 99 (2), 305-313.
[51] Otsu, T., K.‐L.Xu, and Y.Matsushita (2013), “Estimation and inference of discontinuity in density.” Journal of Business & Economic Statistics, 31 (4), 507-524.
[52] Rubin, D. B. (1974), “Estimating causal effects of treatments in randomized and nonrandomized studies.” Journal of Educational Psychology, 66 (5), 688.
[53] Stinebrickner, R. and T. R.Stinebrickner (2014), “A major in science? Initial beliefs and final outcomes for college major and dropout.” Review of Economic Studies, 81 (1), 426-472. · Zbl 1405.91129
[54] Thistlethwaite, D. L. and D. T.Campbell (1960), “Regression‐discontinuity analysis: An alternative to the ex post facto experiment.” Journal of Educational Psychology, 51 (6), 309.
[55] Zafar, B. (2011), “How do college students form expectations?” Journal of Labor Economics, 29 (2), 301-348.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.