Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/302050 
Erscheinungsjahr: 
2024
Schriftenreihe/Nr.: 
I4R Discussion Paper Series No. 144
Verlag: 
Institute for Replication (I4R), s.l.
Zusammenfassung: 
Axbard and Deng (2024) exploit the rollout of new pollution monitors in China in 2015 in 177 medium-size cities to study the effect of air-quality monitors on enforcement actions by local governments and air quality. In their main difference-in-difference analysis, they identify the change in the probability of enforcement for firms that are close to versus further away from the monitor. They find that being within 10km of a monitor increases the probability that a firm receives any enforcement action by 0.0033 (standard error 0.00056) relative to a mean of 0.0046. Computationally, we successfully reproduce the main claims of the paper. We observe minor coding anomalies that do not have a material impact. We find that the main result on all enforcement is robust to all robustness checks: (1) randomization inference (2) alternative fixed effects and (3) multiple hypothesis testing.
Schlagwörter: 
Replication
Reproducibility
Robustness
Accountability
Regulatory Enforcement
Pollution
China
JEL: 
K32
L51
O13
P25
P28
Q52
Q53
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
980.08 kB





Publikationen in EconStor sind urheberrechtlich geschützt.