id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fsr-3323	Camarda, Jeffrey	Relation between financial advisory designations and FINRA misconduct FSR201714	2017	20	.pdf	application/pdf	8158	470	52	The Tobit and OLS regression models specifications are: DIS � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (1) ADIS � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (2) CAD � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (3) Table 5 DIS, ADIS, CAD, and binary analog misconduct by designation, gender, employment status, and insurance and IAR licensure Independent variable � B-CAD � B-ADIS � B-DIS � CAD � ADIS � DIS Sample mean 0.12 0.15 0.24 0.75 0.86 1.10 Any designation 0.18 0.22 0.28 1.10 1.23 1.41 No designation 0.11 0.13 0.23 0.71 0.81 1.06 CFP 0.19 0.22 0.28 1.11 1.25 1.42 Non-CFP 0.11 0.14 0.23 0.72 0.82 1.07 ChFC 0.18 0.21 0.27 1.10 1.23 1.43 Non-ChFC 0.12 0.14 0.24 0.74 0.85 1.09 CFA 0.09 0.13 0.17 0.52 0.62 0.70 282 J.M. Camarda / Financial Services Review 26 (2017) 271–290 The logit regression models specifications are: B-DIS � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (4) B-ADIS � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (5) B-CAD � �1 � �Yr � �A � �G � �IC � �RR&IAR � �Ins � �AnyDes � � (6) Where YR � Years registered A � Age G � Gender IC � Independent contractor RR&IAR � dual registration as RR and IAR Ins � RR is life insurance sales licensed Anydes � RR holds any of CFA, CFP, or ChFC designations 9.	cache/fsr-3323.pdf	txt/fsr-3323.txt