RT Article
T1 The “Pliability” of Criminological Analyses: assessing Bias in Regression Estimates Using Monte Carlo Simulations
JF Journal of quantitative criminology
VO 36
IS 2
SP 371
OP 394
A1 West, Matthew P.
A2 Cohen, Mark A.
A2 Rorie, Melissa 1981-
LA English
YR 2020
UL https://krimdok.uni-tuebingen.de/Record/1734806834
AB When biased coefficient and standard error estimates are published, they can result in inaccurate findings which might motivate ineffective—or harmful—policy choices and reduce the legitimacy of social scientific research. In this paper, we demonstrate how Monte Carlo simulations (MCS) can be used to evaluate potential bias in estimates.
K1 Replication
K1 Regression
K1 Estimation bias
K1 Monte Carlo simulation
DO 10.1007/s10940-018-9398-5