TY  - CHAP
AB  - Abstract Conventional tests of the regression discontinuity design’s identifying restrictions can perform poorly when the running variable is discrete. This paper proposes a test for manipulation of the running variable that is consistent when the running variable is discrete. The test exploits the fact that if the discrete running variable’s probability mass function satisfies a certain smoothness condition, then the observed frequency at the threshold has a known conditional distribution. The proposed test is applied to vote tally distributions in union representation elections and reveals evidence of manipulation in close elections that is in favor of employers when Republicans control the NLRB and in favor of unions otherwise.
VL  - 38
SN  - 978-1-78714-390-6, 978-1-78714-389-0/0731-9053
DO  - 10.1108/S0731-905320170000038012
UR  - https://doi.org/10.1108/S0731-905320170000038012
AU  - Frandsen Brigham R.
PY  - 2017
Y1  - 2017/01/01
TI  - Party Bias in Union Representation Elections: Testing for Manipulation in the Regression Discontinuity Design when the Running Variable is Discrete
T2  - Regression Discontinuity Designs
T3  - Advances in Econometrics
PB  - Emerald Publishing Limited
SP  - 281
EP  - 315
Y2  - 2024/09/19
ER  -