1 00:00:09,200 --> 00:00:12,920 Speaker 1: Hello, and welcome to another edition of the ODL podcast. 2 00:00:13,000 --> 00:00:16,560 Speaker 1: I'm Tracey Alloway and I'm Joe wis So Joe. This 3 00:00:16,640 --> 00:00:23,120 Speaker 1: is the second edition of our very exciting, very necesarious money, 4 00:00:23,320 --> 00:00:27,639 Speaker 1: markets and Crime series. We're really starting the year on 5 00:00:27,720 --> 00:00:31,240 Speaker 1: a very u sort of dark and grim note. Earlier 6 00:00:31,240 --> 00:00:33,800 Speaker 1: in the year we talked about possibility of a bond 7 00:00:33,800 --> 00:00:37,400 Speaker 1: market crash, and now we're on this series of the 8 00:00:37,800 --> 00:00:41,360 Speaker 1: economics and markets of crime. But I'm really enjoying these 9 00:00:41,400 --> 00:00:43,440 Speaker 1: and I'm excited about today's episode. What are we going 10 00:00:43,479 --> 00:00:45,720 Speaker 1: to talk about? Well, so I'm just gonna ask, are 11 00:00:45,760 --> 00:00:50,080 Speaker 1: you I think there's m a general tendency for guys 12 00:00:50,120 --> 00:00:53,720 Speaker 1: in particular to be really into, um, the Mafia and 13 00:00:54,040 --> 00:00:57,560 Speaker 1: Mafia movies especially. Are you one of those guys who 14 00:00:57,600 --> 00:01:01,120 Speaker 1: kind of like worships the Godfather. Wouldn't say I worship 15 00:01:01,240 --> 00:01:05,080 Speaker 1: the Godfather. I really liked the Godfather movies. I also 16 00:01:05,520 --> 00:01:09,240 Speaker 1: The Sopranos was definitely one of my TV shows of 17 00:01:09,280 --> 00:01:11,800 Speaker 1: all time. So I wouldn't say I'm, like, you know, 18 00:01:11,880 --> 00:01:15,440 Speaker 1: an obsessive or anything, but I do find it to 19 00:01:15,480 --> 00:01:17,479 Speaker 1: be a very interesting topic and I like a lot 20 00:01:17,480 --> 00:01:20,800 Speaker 1: of the media surrounding it. Okay, so today I think 21 00:01:20,800 --> 00:01:23,119 Speaker 1: you'll like this topic in that kuse. So today we're 22 00:01:23,120 --> 00:01:27,759 Speaker 1: going to be talking about UM, the idea of education 23 00:01:28,000 --> 00:01:32,920 Speaker 1: and the economics of education and what role they play. 24 00:01:33,080 --> 00:01:38,479 Speaker 1: Is any in um being a good mafioso? I guess right, 25 00:01:38,560 --> 00:01:42,360 Speaker 1: because we know there's plenty of evidence that having a 26 00:01:42,480 --> 00:01:48,040 Speaker 1: good education in the non criminal world is probably helpful 27 00:01:48,080 --> 00:01:50,520 Speaker 1: for getting ahead, for making more money, for all kinds 28 00:01:50,520 --> 00:01:54,160 Speaker 1: of positive life outcomes. And there's a lot of ambiguity 29 00:01:54,200 --> 00:01:57,480 Speaker 1: about why is it just about signaling? Does anyone actually 30 00:01:57,560 --> 00:02:00,640 Speaker 1: learn anything in college that they use or is it 31 00:02:01,000 --> 00:02:03,280 Speaker 1: about something else? And so it's kind of an interesting 32 00:02:03,280 --> 00:02:07,120 Speaker 1: way to study the value of education by whether it 33 00:02:07,200 --> 00:02:10,520 Speaker 1: also helps you get ahead in the world of organized crime. Yeah, 34 00:02:10,520 --> 00:02:13,560 Speaker 1: but there's also the school of thought that says that 35 00:02:13,960 --> 00:02:16,360 Speaker 1: if you got a higher education, than you're less likely 36 00:02:16,520 --> 00:02:20,240 Speaker 1: to resort to crime. Right, So, like the idea of 37 00:02:20,320 --> 00:02:26,640 Speaker 1: gangsters actually actively seeking out education in theory maybe should 38 00:02:26,720 --> 00:02:29,560 Speaker 1: deter them from a life of crime. I don't know 39 00:02:29,560 --> 00:02:31,800 Speaker 1: if that's what we're going to find out, right, you think? So? 40 00:02:31,880 --> 00:02:34,560 Speaker 1: Of course there and there's you know, it's not the mafia, 41 00:02:34,600 --> 00:02:37,680 Speaker 1: but there's that famous moment in the show The Wire 42 00:02:37,760 --> 00:02:42,000 Speaker 1: where drug kingpin Stringer Bell is seen in an economics 43 00:02:42,000 --> 00:02:44,920 Speaker 1: class at the local college. So that's right, and he 44 00:02:45,000 --> 00:02:48,880 Speaker 1: learns about supply and demand demand curve. Right, that's a 45 00:02:48,919 --> 00:02:52,760 Speaker 1: great scene. Okay. So here with us to talk about 46 00:02:52,840 --> 00:02:57,000 Speaker 1: all of this is Giovanni Master Buoni. He is a 47 00:02:57,040 --> 00:03:00,720 Speaker 1: professor of economics at the University of A six and 48 00:03:00,800 --> 00:03:05,600 Speaker 1: he is also chair at the Collegio Carlo Alberto in Italy, 49 00:03:06,200 --> 00:03:08,480 Speaker 1: and he actually wrote a paper with some of his 50 00:03:08,600 --> 00:03:14,359 Speaker 1: colleagues called returns to Education in Criminal Organizations? Did going 51 00:03:14,440 --> 00:03:19,400 Speaker 1: to college help Michael Corleone? So? UM, clearly a Godfather reference. 52 00:03:19,480 --> 00:03:33,600 Speaker 1: Right there, let's do it. Giovanni, thank you so much 53 00:03:33,639 --> 00:03:36,480 Speaker 1: for joining us today. Thank you for having me. I mean, 54 00:03:36,520 --> 00:03:39,480 Speaker 1: I guess I have to start with, UM the obvious, 55 00:03:39,560 --> 00:03:44,120 Speaker 1: which is what inspired you to actually look at the subject, 56 00:03:44,240 --> 00:03:50,560 Speaker 1: because connecting education, uh and returns and college UM and 57 00:03:50,760 --> 00:03:54,800 Speaker 1: the mafia isn't necessarily something that a lot of researchers 58 00:03:54,800 --> 00:04:02,880 Speaker 1: will look into. UM. It was a book geography by Bonano, 59 00:04:02,960 --> 00:04:06,120 Speaker 1: who was one of the sort of leaders in the 60 00:04:06,160 --> 00:04:11,120 Speaker 1: Italian American mafia in New York in Brooklyn, and in 61 00:04:11,240 --> 00:04:16,920 Speaker 1: his autobiography, UM he talks about how having a sort 62 00:04:16,960 --> 00:04:20,560 Speaker 1: of a higher level of education than than his peers 63 00:04:20,640 --> 00:04:24,320 Speaker 1: within the mafia helped him to become one of the 64 00:04:25,600 --> 00:04:30,080 Speaker 1: one of the bosses of of of the of of 65 00:04:30,160 --> 00:04:34,280 Speaker 1: one of the New York families. Having already worked on 66 00:04:34,320 --> 00:04:38,000 Speaker 1: the on the Italian American mafia and having the data 67 00:04:38,520 --> 00:04:43,360 Speaker 1: that would somehow allow me to have a measure of uh, 68 00:04:43,440 --> 00:04:49,200 Speaker 1: sort of economic success and of of education sort of 69 00:04:49,680 --> 00:04:54,760 Speaker 1: made the trick. Before we get into this question of 70 00:04:54,839 --> 00:04:58,760 Speaker 1: whether they're having an education really helps one get ahead 71 00:04:58,960 --> 00:05:01,680 Speaker 1: in the mafia and why that might be, let's just 72 00:05:01,760 --> 00:05:04,599 Speaker 1: talk about the data first. How do you even begin 73 00:05:04,839 --> 00:05:07,840 Speaker 1: to measure something like this. How do you know which 74 00:05:07,880 --> 00:05:12,039 Speaker 1: of the mafio so went to college? And how do 75 00:05:12,040 --> 00:05:14,000 Speaker 1: you know how well they did economically? It's not like 76 00:05:14,040 --> 00:05:17,120 Speaker 1: their salaries are made public or anything like that exactly, 77 00:05:17,160 --> 00:05:20,440 Speaker 1: So it's it's not easy in this So I always 78 00:05:20,560 --> 00:05:24,680 Speaker 1: joke saying that the Mafiozzi are somehow the you know, 79 00:05:24,839 --> 00:05:29,000 Speaker 1: the the less likely to respond to surveys, which is 80 00:05:29,279 --> 00:05:33,479 Speaker 1: how we usually find out about how much money people 81 00:05:33,520 --> 00:05:36,599 Speaker 1: may and and and and what level of education they have. 82 00:05:37,760 --> 00:05:44,279 Speaker 1: So it all starts with some declassified uh, files by 83 00:05:44,360 --> 00:05:49,039 Speaker 1: the Federal Bureau of Narcotics, which was an agency UM 84 00:05:50,000 --> 00:05:54,520 Speaker 1: trying to track down the mafia way before the FBI did. 85 00:05:55,640 --> 00:05:58,320 Speaker 1: So we're talking about the nineteen fifties and sixties when 86 00:05:58,360 --> 00:06:04,440 Speaker 1: the FBI was busy, UM trying to find the communists 87 00:06:04,720 --> 00:06:07,920 Speaker 1: in the country. So what the Federal we of Narcotics 88 00:06:08,000 --> 00:06:15,960 Speaker 1: did was to UM sort of build uh like a 89 00:06:16,080 --> 00:06:21,800 Speaker 1: huge folder where somehow each page was dedicated to a mobster. 90 00:06:22,960 --> 00:06:27,159 Speaker 1: Now we don't know exactly how they managed to track 91 00:06:27,240 --> 00:06:31,440 Speaker 1: down so many mobsters. I mean most likely because there's 92 00:06:31,480 --> 00:06:36,520 Speaker 1: no evidence, but most most likely it was through undercover 93 00:06:36,640 --> 00:06:40,600 Speaker 1: agents and also monitoring these these mobsters whenever they met. 94 00:06:41,320 --> 00:06:43,240 Speaker 1: And so what you have in the in the in 95 00:06:43,320 --> 00:06:47,559 Speaker 1: the Federal GW of Narcotics files UM is information about 96 00:06:47,600 --> 00:06:53,159 Speaker 1: where these mobsters lived, so their place of residents UH, 97 00:06:53,240 --> 00:06:55,880 Speaker 1: the age, the name so first name and last name, 98 00:06:56,360 --> 00:07:00,800 Speaker 1: the closest associates UH and as well as like a 99 00:07:00,920 --> 00:07:05,640 Speaker 1: short description of their criminal profile. But not all of 100 00:07:05,680 --> 00:07:09,960 Speaker 1: them had a criminal profile, so some some were very 101 00:07:10,000 --> 00:07:13,360 Speaker 1: good in in in hiding and in hiding somehow from 102 00:07:13,400 --> 00:07:18,080 Speaker 1: the police. So this is so the file. The last 103 00:07:18,200 --> 00:07:23,800 Speaker 1: update happened in nineteen sixty of this of this of 104 00:07:23,920 --> 00:07:29,680 Speaker 1: this folder, and it was declassified in UM I think 105 00:07:29,720 --> 00:07:33,840 Speaker 1: in two thousand and seven or in two two thousands 106 00:07:33,840 --> 00:07:37,080 Speaker 1: and six or seven. So I I found out about 107 00:07:37,120 --> 00:07:42,800 Speaker 1: it um at UM. So I was waiting for for 108 00:07:42,840 --> 00:07:45,680 Speaker 1: an airplane, and there was a bookstore, and so I 109 00:07:45,720 --> 00:07:48,320 Speaker 1: started just looking at books and and it it turns 110 00:07:48,320 --> 00:07:53,720 Speaker 1: out that someone printed the whole folder and so you 111 00:07:54,240 --> 00:07:59,000 Speaker 1: can buy it on on Amazon UM and it's called 112 00:07:59,520 --> 00:08:04,400 Speaker 1: Mafia very simple. And and so what I did is I, 113 00:08:04,640 --> 00:08:08,400 Speaker 1: first of all, UM put the whole folders, so each 114 00:08:08,440 --> 00:08:13,120 Speaker 1: each file, each each mobsters information in electronic format, and 115 00:08:13,160 --> 00:08:17,640 Speaker 1: then UM sort of what was missing for this research 116 00:08:18,360 --> 00:08:21,360 Speaker 1: was information about their level of education as well as 117 00:08:22,000 --> 00:08:25,360 Speaker 1: a measure of economic success. So what I what I 118 00:08:25,480 --> 00:08:28,120 Speaker 1: what we did I mean with my authors is we 119 00:08:28,280 --> 00:08:33,520 Speaker 1: used the first name, last name, place of birth, and 120 00:08:33,640 --> 00:08:40,000 Speaker 1: date of birth to merge UM these mobsters with the 121 00:08:40,640 --> 00:08:45,760 Speaker 1: U S Census, the n U S Census and in 122 00:08:45,800 --> 00:08:49,479 Speaker 1: the ninete f the U S Census, you have UM 123 00:08:49,520 --> 00:08:56,120 Speaker 1: a whole lot of information including income, the value of 124 00:08:56,200 --> 00:08:59,080 Speaker 1: the house if they own the house, or the rent 125 00:08:59,280 --> 00:09:03,800 Speaker 1: they pay UM, as well as UH the years of education. 126 00:09:04,640 --> 00:09:09,160 Speaker 1: And so that allowed us to write this paper and 127 00:09:09,280 --> 00:09:12,880 Speaker 1: to measure returns of the education. And so what sense 128 00:09:12,960 --> 00:09:17,040 Speaker 1: did you get about how um I guess people um 129 00:09:17,080 --> 00:09:19,720 Speaker 1: that either we're in the mafia or we're going into 130 00:09:19,760 --> 00:09:23,320 Speaker 1: the mafia thought of education, like, did they see the 131 00:09:23,520 --> 00:09:26,800 Speaker 1: value in it? Was it obvious to them there is value? 132 00:09:26,920 --> 00:09:29,800 Speaker 1: Or what was their decision making process when they decided 133 00:09:29,840 --> 00:09:34,520 Speaker 1: to go off to college. So again, it's it's hard 134 00:09:34,559 --> 00:09:38,640 Speaker 1: to answer this question because we um, we only have 135 00:09:38,800 --> 00:09:43,800 Speaker 1: scattered information about that, and it's mainly coming from either 136 00:09:43,960 --> 00:09:51,080 Speaker 1: historians who typically talk about of individual cases or autobiographies 137 00:09:51,160 --> 00:09:55,320 Speaker 1: like for example, the one by Joe Bonana. The sense 138 00:09:55,800 --> 00:09:59,760 Speaker 1: is that they would spend as little time as possible 139 00:10:00,760 --> 00:10:07,800 Speaker 1: in school, and there are events, even stories of parents 140 00:10:07,920 --> 00:10:13,600 Speaker 1: trying to fake uh the age of of their children 141 00:10:14,120 --> 00:10:17,199 Speaker 1: to have them spent uh, you know, a fewer years 142 00:10:17,200 --> 00:10:20,080 Speaker 1: in school. So we are not arguing in the paper 143 00:10:20,200 --> 00:10:27,280 Speaker 1: that that they were actively seeking more education, but that 144 00:10:27,720 --> 00:10:35,280 Speaker 1: those that did have more education, we're actually um making 145 00:10:36,320 --> 00:10:39,880 Speaker 1: more money and we're living in in in a more 146 00:10:40,000 --> 00:10:42,960 Speaker 1: wealthy housing. Yeah. I was just going to get to 147 00:10:43,000 --> 00:10:46,960 Speaker 1: that point. You mentioned Joe Banano and he studied his 148 00:10:47,000 --> 00:10:51,560 Speaker 1: own education as a reason for his success. Uh, go 149 00:10:51,679 --> 00:10:54,840 Speaker 1: through what are the key data points? How much more 150 00:10:55,040 --> 00:10:59,400 Speaker 1: education translated into how much more money? In economic success? 151 00:10:59,480 --> 00:11:01,880 Speaker 1: What is what was the return not going to school? 152 00:11:02,400 --> 00:11:07,240 Speaker 1: So we use two economic outcomes UM. One is income. 153 00:11:08,240 --> 00:11:12,000 Speaker 1: Now income might be a little bit problematic, so for 154 00:11:12,800 --> 00:11:15,520 Speaker 1: one might think that even in in in in the census, 155 00:11:16,440 --> 00:11:21,360 Speaker 1: mobsters would be unwilling to declare exactly how much money 156 00:11:21,360 --> 00:11:26,120 Speaker 1: they make, and so we use UM also housing and 157 00:11:26,320 --> 00:11:31,160 Speaker 1: housing is somehow more difficult to hide because UM, the 158 00:11:31,240 --> 00:11:36,359 Speaker 1: surveyors would would would actually visit the homes of individuals 159 00:11:36,520 --> 00:11:39,080 Speaker 1: and and and so they could actually see and have 160 00:11:39,160 --> 00:11:41,679 Speaker 1: a sense of the value of the of the house. 161 00:11:42,040 --> 00:11:44,280 Speaker 1: You know, we argue that it would be more difficult 162 00:11:44,320 --> 00:11:47,440 Speaker 1: to hide the value of of the house where they 163 00:11:47,440 --> 00:11:50,760 Speaker 1: we're living or the rent that we're paying. So what 164 00:11:50,760 --> 00:11:54,000 Speaker 1: what we find is that having an extra year of 165 00:11:54,120 --> 00:12:00,320 Speaker 1: education increase increases their um their income as well as 166 00:12:00,360 --> 00:12:06,000 Speaker 1: the value of their housing by about seven percent, seven 167 00:12:06,040 --> 00:12:10,120 Speaker 1: to eight percent. And this sort of rate of return 168 00:12:10,280 --> 00:12:13,199 Speaker 1: is very similar to the rate of return of their neighbors. 169 00:12:13,240 --> 00:12:16,360 Speaker 1: Because what we do then is we we compare the 170 00:12:16,440 --> 00:12:20,079 Speaker 1: returns to education of mobsters with the returns to education. 171 00:12:20,679 --> 00:12:27,080 Speaker 1: Of the whole series of possible control groups, now the 172 00:12:27,320 --> 00:12:33,600 Speaker 1: more natural one, uh we think is is the one 173 00:12:33,640 --> 00:12:38,679 Speaker 1: based on their neighbors. So you have individuals who share 174 00:12:38,800 --> 00:12:42,240 Speaker 1: the same neighborhood, the same you know, they live in 175 00:12:42,280 --> 00:12:45,600 Speaker 1: the same city, they live even in the same neighborhood. 176 00:12:46,240 --> 00:12:49,880 Speaker 1: Uh And, and what we find is that neighbors have 177 00:12:50,120 --> 00:12:54,240 Speaker 1: very similar returns to education, maybe slightly larger by one 178 00:12:54,280 --> 00:13:00,360 Speaker 1: percentage point. Then we compare them to um US citizen 179 00:13:00,440 --> 00:13:03,640 Speaker 1: who are of similar age and and and similar gender. 180 00:13:03,679 --> 00:13:06,440 Speaker 1: I mean, again I should have mentioned this. We're talking 181 00:13:06,440 --> 00:13:11,400 Speaker 1: about only men. So the mafia was really a male business. 182 00:13:13,000 --> 00:13:15,760 Speaker 1: Women were not allowed into the or instill are not 183 00:13:15,840 --> 00:13:20,160 Speaker 1: allowed into the mafia and um and So, while it 184 00:13:20,360 --> 00:13:25,040 Speaker 1: is true that um U s citizens have have higher 185 00:13:25,040 --> 00:13:28,280 Speaker 1: returns of ulgation in those years so close ten to 186 00:13:28,360 --> 00:13:35,839 Speaker 1: eleven percent, when you compare the Mafiozzi to another quite 187 00:13:35,880 --> 00:13:42,600 Speaker 1: reasonable control groups, which are immigrants as well as immigrants 188 00:13:42,600 --> 00:13:47,800 Speaker 1: of Italian origin, these two groups fare much much worse. 189 00:13:48,679 --> 00:13:51,960 Speaker 1: So they have returns to education that are only half 190 00:13:52,000 --> 00:13:56,600 Speaker 1: as large as the ones of the mobsters. So, I mean, 191 00:13:56,760 --> 00:14:01,400 Speaker 1: what conclusions do you draw from your inclusion? What what 192 00:14:01,600 --> 00:14:04,960 Speaker 1: is the actual value of education here and do the 193 00:14:05,160 --> 00:14:11,640 Speaker 1: differences and results between mafia and non mafia people suggest 194 00:14:12,679 --> 00:14:16,880 Speaker 1: a different value for education, um, depending on whether it's 195 00:14:16,880 --> 00:14:21,680 Speaker 1: applied to criminal activity or not. So what we managed 196 00:14:21,760 --> 00:14:24,320 Speaker 1: to do in the paper, which I think pins down 197 00:14:24,400 --> 00:14:28,800 Speaker 1: a little bit the mechanism here is, um, we managed 198 00:14:28,960 --> 00:14:34,560 Speaker 1: to separate the mobsters into two groups. Uh. And that 199 00:14:34,600 --> 00:14:36,800 Speaker 1: that that that you know that we did thanks to 200 00:14:36,920 --> 00:14:41,280 Speaker 1: the Federal Bureau of Narcotics files. So we we divided 201 00:14:41,320 --> 00:14:45,680 Speaker 1: the mobsters into those that that we're doing more business 202 00:14:45,760 --> 00:14:52,400 Speaker 1: types of crimes UM, like for example, loan sharking or 203 00:14:52,480 --> 00:14:57,440 Speaker 1: money loan drink or drug dealing, UM, with those that 204 00:14:58,320 --> 00:15:02,400 Speaker 1: instead had a more viole and profile, like those that 205 00:15:02,480 --> 00:15:08,040 Speaker 1: were involved in robberies or killings, and and and there 206 00:15:08,120 --> 00:15:12,440 Speaker 1: we find striking differences. So those that have a more 207 00:15:13,800 --> 00:15:17,760 Speaker 1: business type profile have returned to education, which is similar 208 00:15:17,800 --> 00:15:19,720 Speaker 1: to the to the ones of the U S compuerlation. 209 00:15:20,920 --> 00:15:25,560 Speaker 1: So it's close to eleven UM, while those that, uh, 210 00:15:26,000 --> 00:15:28,920 Speaker 1: you know we're doing those that were so you know 211 00:15:29,000 --> 00:15:34,320 Speaker 1: called also the soldiers, have much much lower returns education, 212 00:15:34,400 --> 00:15:38,800 Speaker 1: like you know, close to two to three percent, so slow, 213 00:15:39,000 --> 00:15:42,120 Speaker 1: you know, similar to the to the ones of of 214 00:15:42,200 --> 00:15:45,960 Speaker 1: the other Italian immigrants. What was the highest level of 215 00:15:46,160 --> 00:15:50,160 Speaker 1: education that you encountered, um in your research? Did did 216 00:15:50,200 --> 00:15:55,200 Speaker 1: anyone have like a doctorate or something like that. Uh? No, 217 00:15:56,240 --> 00:16:00,720 Speaker 1: I think the highest was college degree. So what what 218 00:16:00,840 --> 00:16:07,120 Speaker 1: you find on average is that monsters have one less 219 00:16:07,680 --> 00:16:12,920 Speaker 1: year of education compared to their neighbors. So at that time, UM, 220 00:16:13,360 --> 00:16:18,040 Speaker 1: the average education is seven seven and a half years 221 00:16:18,120 --> 00:16:21,400 Speaker 1: for monsters and eight and a half years more or 222 00:16:21,480 --> 00:16:25,360 Speaker 1: less for their neighbors. So I alluded to this in 223 00:16:25,440 --> 00:16:29,680 Speaker 1: the intro. But you know, just talking about in the 224 00:16:29,760 --> 00:16:32,880 Speaker 1: non criminal economy, there's still quite a bit of debate 225 00:16:32,960 --> 00:16:36,720 Speaker 1: about why people with more education make more money. You 226 00:16:36,720 --> 00:16:40,000 Speaker 1: could say, well, you learned skills in college and that helps. 227 00:16:40,640 --> 00:16:44,400 Speaker 1: Or maybe it's a signaling mechanism to future employers that Okay, 228 00:16:44,480 --> 00:16:47,320 Speaker 1: this person who I'm going to hire, I'm going to 229 00:16:47,440 --> 00:16:49,960 Speaker 1: first just do a college screen and not hire anyone 230 00:16:49,960 --> 00:16:53,200 Speaker 1: who didn't go to college. Or maybe, and I think 231 00:16:53,200 --> 00:16:56,000 Speaker 1: you mentioned this in your paper, maybe there's a socialization 232 00:16:56,560 --> 00:16:58,840 Speaker 1: element where you don't really learn anything, but you learn 233 00:16:58,880 --> 00:17:03,160 Speaker 1: how to behave in a higher article organization. Or maybe 234 00:17:03,360 --> 00:17:05,800 Speaker 1: just the mere act of going to college tells you 235 00:17:05,840 --> 00:17:09,560 Speaker 1: something about the enroll lead that this person has preter naturally, 236 00:17:09,920 --> 00:17:12,359 Speaker 1: you know, they're smarter and more skilled than other people, 237 00:17:12,440 --> 00:17:15,120 Speaker 1: and so it's those not you know, they already had 238 00:17:15,160 --> 00:17:17,919 Speaker 1: what it took to succeed. You know, this debate about 239 00:17:18,200 --> 00:17:21,520 Speaker 1: why college is valuable goes on forever, and I don't 240 00:17:21,520 --> 00:17:24,560 Speaker 1: think there's a clear answer. Does the study that you 241 00:17:24,960 --> 00:17:28,119 Speaker 1: have undertaken by taking it outside of the sort of 242 00:17:28,400 --> 00:17:33,320 Speaker 1: corporate realm in your view, shed any light on this question. 243 00:17:33,800 --> 00:17:37,800 Speaker 1: That's a good question, uh, lest the truth, Like I 244 00:17:37,840 --> 00:17:40,960 Speaker 1: haven't thought about it, um, But I mean if you 245 00:17:41,080 --> 00:17:45,880 Speaker 1: take these potential mechanisms, uh, you know one at the time, 246 00:17:46,280 --> 00:17:49,000 Speaker 1: I think they are all they could they could all 247 00:17:49,040 --> 00:17:52,600 Speaker 1: be applied to the Italian mafia, you know, sort of 248 00:17:52,600 --> 00:17:55,159 Speaker 1: in the same way they can be applied to the 249 00:17:55,200 --> 00:18:00,240 Speaker 1: normal workers. And this is because this is not well known, 250 00:18:00,359 --> 00:18:06,680 Speaker 1: but the Italian mafia is is is somehow a democratic institution, 251 00:18:07,359 --> 00:18:15,359 Speaker 1: meaning that the members elect their boss. And so the 252 00:18:15,440 --> 00:18:19,240 Speaker 1: signaling value of education, my might you know, might work 253 00:18:20,119 --> 00:18:23,280 Speaker 1: in in in in such a set up in a 254 00:18:23,359 --> 00:18:30,600 Speaker 1: similar way it works for for employers and employees. Um. 255 00:18:30,680 --> 00:18:36,640 Speaker 1: Although I do think that what we find about business 256 00:18:36,800 --> 00:18:42,280 Speaker 1: type of crime criminals having much higher returns to education 257 00:18:43,480 --> 00:18:51,440 Speaker 1: does suggest that there's also some learning involved potentially uh, 258 00:18:53,160 --> 00:18:57,200 Speaker 1: better skills in when when when dealing with numbers for example, 259 00:18:57,320 --> 00:19:03,240 Speaker 1: that that that might valuable even in in inside the 260 00:19:03,400 --> 00:19:08,600 Speaker 1: you know, the criminal world. Well, I have to ask, um, 261 00:19:09,160 --> 00:19:13,120 Speaker 1: do we have any data on what exactly UM mafia 262 00:19:13,200 --> 00:19:16,840 Speaker 1: members were actually studying? Were they studying economics for instance? 263 00:19:18,160 --> 00:19:21,800 Speaker 1: You know that that unfortunately we don't know in the 264 00:19:21,880 --> 00:19:26,840 Speaker 1: in the in the census, we only know the years 265 00:19:26,880 --> 00:19:32,920 Speaker 1: of education, um, and and you know very few went 266 00:19:32,960 --> 00:19:37,600 Speaker 1: to college, so you know, we're so again the average 267 00:19:37,680 --> 00:19:42,320 Speaker 1: years of education is certainly a half years, so most 268 00:19:42,440 --> 00:19:48,320 Speaker 1: most uh, you know, I didn't go far farther than 269 00:19:48,440 --> 00:19:53,640 Speaker 1: than than than compulsory education. But I agree, I mean 270 00:19:53,640 --> 00:19:59,960 Speaker 1: that would be very interesting that there are um store 271 00:20:00,040 --> 00:20:08,880 Speaker 1: ease of modern Mafiuzzi in Italy, uh being having having 272 00:20:09,080 --> 00:20:12,600 Speaker 1: much higher levels of education than their parents. Right, that 273 00:20:12,720 --> 00:20:14,960 Speaker 1: was gonna I was just gonna ask this. You know, 274 00:20:15,000 --> 00:20:18,680 Speaker 1: there's organized crime exists today. You your study looked at 275 00:20:19,280 --> 00:20:22,760 Speaker 1: the first half of the twentieth century. Um, have people 276 00:20:23,280 --> 00:20:29,040 Speaker 1: or you undertaken similar studies on existing organized crime elements 277 00:20:29,080 --> 00:20:34,440 Speaker 1: to see if similar phenomena. Hold well, I would love to, um, 278 00:20:34,480 --> 00:20:39,640 Speaker 1: but it's just very difficult to get the data right. 279 00:20:40,280 --> 00:20:42,960 Speaker 1: On top of I think they're being a little bit 280 00:20:43,000 --> 00:20:46,040 Speaker 1: also of a of a of a risk factor probably. 281 00:20:47,080 --> 00:20:52,720 Speaker 1: Uh so, you know, we so in our data we 282 00:20:52,800 --> 00:20:56,440 Speaker 1: looked at mobsters that that were active in the forties, 283 00:20:56,480 --> 00:21:01,080 Speaker 1: fifties and sixties, so most of them are, if not dead, 284 00:21:01,119 --> 00:21:05,679 Speaker 1: they're very old and probably not very dangerous. UM. I 285 00:21:05,760 --> 00:21:08,080 Speaker 1: think it would be different if if we were looking 286 00:21:08,160 --> 00:21:13,280 Speaker 1: at at current mobsters and for current mobsters, UM, it's 287 00:21:15,240 --> 00:21:19,800 Speaker 1: it's just really hard to get the data. I mean, 288 00:21:19,880 --> 00:21:25,760 Speaker 1: for one thing, the census, recent census don't have information 289 00:21:25,800 --> 00:21:30,560 Speaker 1: on on on first names and last names. So even 290 00:21:30,600 --> 00:21:38,040 Speaker 1: if one managed to find the names of mobsters, for example, 291 00:21:38,080 --> 00:21:42,199 Speaker 1: had been involved in in in in in in in 292 00:21:42,600 --> 00:21:46,040 Speaker 1: recent crimes, I think it would be really hard to 293 00:21:46,080 --> 00:21:49,480 Speaker 1: find out exactly what kind of education they have because 294 00:21:49,560 --> 00:21:53,960 Speaker 1: that's simply not information that is typically of of of 295 00:21:54,200 --> 00:21:56,720 Speaker 1: use for for the police, and so it's not information 296 00:21:56,760 --> 00:22:02,000 Speaker 1: that the police records. All right. Giovanni must Booni. He's 297 00:22:02,080 --> 00:22:06,240 Speaker 1: a professor at the University of Essex and also a 298 00:22:06,320 --> 00:22:10,119 Speaker 1: chair at the Collegio Carlo Alberto. His paper is the 299 00:22:10,200 --> 00:22:13,800 Speaker 1: returns to education in criminal organizations? Did go into college? 300 00:22:13,800 --> 00:22:18,679 Speaker 1: Help Michael Corleone? Fascinating topic. We really appreciate you coming up, 301 00:22:19,080 --> 00:22:33,840 Speaker 1: Thank you, thank you. So So what um topic do 302 00:22:33,880 --> 00:22:37,960 Speaker 1: you think Michael Corleoni would have studied? I bet he 303 00:22:38,000 --> 00:22:40,480 Speaker 1: would have studied like a generic business degree, which, to 304 00:22:40,520 --> 00:22:43,359 Speaker 1: be honest, I never really understood what studying business was 305 00:22:43,440 --> 00:22:47,920 Speaker 1: in college business majors. I never do what that yeah, 306 00:22:48,000 --> 00:22:50,680 Speaker 1: or something like that, But I imagine something like that. 307 00:22:50,720 --> 00:22:54,240 Speaker 1: But maybe if I went back and rewatched The Godfather 308 00:22:54,320 --> 00:22:56,240 Speaker 1: specifically thinking on that, I would come up with some 309 00:22:56,320 --> 00:23:00,479 Speaker 1: other answer. Don't you think the degree I mean, granted 310 00:23:00,520 --> 00:23:02,600 Speaker 1: a lot of people in that study didn't go to college, 311 00:23:02,600 --> 00:23:04,359 Speaker 1: but then you think the degree that would have helped 312 00:23:04,720 --> 00:23:06,720 Speaker 1: then the most would be law, Like it has to 313 00:23:06,760 --> 00:23:09,920 Speaker 1: be law, right, Oh yeah, right, because in a way, 314 00:23:10,320 --> 00:23:14,959 Speaker 1: organized crime is sort of like legal arbitrage, finding opportunities 315 00:23:15,000 --> 00:23:17,760 Speaker 1: in the existence of day to day life where people 316 00:23:17,840 --> 00:23:21,760 Speaker 1: need to pay for some extra legal service like pretentions. 317 00:23:22,680 --> 00:23:25,040 Speaker 1: One I thought one of maybe the most fascinating element 318 00:23:25,160 --> 00:23:28,040 Speaker 1: is just the process of collecting data, And it seems 319 00:23:28,080 --> 00:23:31,800 Speaker 1: like a lot of really interesting economics comes out of 320 00:23:31,960 --> 00:23:36,600 Speaker 1: unusual data sets. Obviously, when the Federal Narcotics was assembling 321 00:23:36,640 --> 00:23:39,520 Speaker 1: these dossiers on mobsters, they weren't thinking that they were 322 00:23:39,560 --> 00:23:43,399 Speaker 1: creating a future economic data set. But a sort of 323 00:23:43,520 --> 00:23:46,720 Speaker 1: enterprising researcher can see them for what they are. So 324 00:23:46,880 --> 00:23:50,359 Speaker 1: you love the idea of economists doing um surveys of 325 00:23:50,760 --> 00:23:55,159 Speaker 1: criminals and asking them like, hey, uh, your level of 326 00:23:55,240 --> 00:24:00,639 Speaker 1: education and by the way, um, the returns on your business? Right, 327 00:24:00,680 --> 00:24:03,239 Speaker 1: if you don't mind, please let us also tell us 328 00:24:03,240 --> 00:24:05,880 Speaker 1: what your annual salary is in your bocus and your 329 00:24:06,080 --> 00:24:09,440 Speaker 1: take home pay from last year life. Uh yeah. But 330 00:24:09,640 --> 00:24:12,280 Speaker 1: as you rightly point out, like the notion that if 331 00:24:12,320 --> 00:24:16,200 Speaker 1: we could get that kind of data, what's fascinating stuff 332 00:24:16,240 --> 00:24:18,600 Speaker 1: it would yield. And again this is an important topic 333 00:24:18,720 --> 00:24:22,240 Speaker 1: of debate if you think that higher education should actually 334 00:24:22,600 --> 00:24:28,359 Speaker 1: deter people from crime. Um, for whatever reason or mechanism 335 00:24:28,480 --> 00:24:32,760 Speaker 1: that comes into play, these are really really interesting data 336 00:24:32,800 --> 00:24:36,040 Speaker 1: sets to have, absolutely, and I think also, you know, 337 00:24:36,680 --> 00:24:40,040 Speaker 1: there's just this cliche that you should go to college 338 00:24:40,080 --> 00:24:42,520 Speaker 1: and getting a better education is good for your career. 339 00:24:43,119 --> 00:24:45,960 Speaker 1: And so not only did we learn that that applies 340 00:24:46,040 --> 00:24:49,720 Speaker 1: to crime as well, which is interesting, but that you know, 341 00:24:49,920 --> 00:24:53,000 Speaker 1: for maybe some of the same reasons. The idea that 342 00:24:53,119 --> 00:24:57,000 Speaker 1: in the corporate world sort of pure credentialism could be 343 00:24:57,040 --> 00:24:59,760 Speaker 1: one reason why someone gets tired over another, and in 344 00:24:59,840 --> 00:25:03,800 Speaker 1: the criminal world, perhaps having a degree is something that 345 00:25:03,840 --> 00:25:06,320 Speaker 1: if everybody's voting, like this guy is the smart one, 346 00:25:06,400 --> 00:25:08,760 Speaker 1: he has a degree or he went to school, could 347 00:25:08,800 --> 00:25:11,320 Speaker 1: be a factor. And so some of these, um, you know, 348 00:25:11,480 --> 00:25:14,439 Speaker 1: might sort of further lend the argument that there is 349 00:25:14,480 --> 00:25:18,000 Speaker 1: some value, uh you know, some if nothing else signaling 350 00:25:18,119 --> 00:25:22,199 Speaker 1: value and having that degree. Okay, So I guess we 351 00:25:22,280 --> 00:25:26,800 Speaker 1: haven't definitively established if crime does pay, but education definitely 352 00:25:26,800 --> 00:25:29,840 Speaker 1: seems to write and well if and if we don't 353 00:25:29,920 --> 00:25:31,919 Speaker 1: know for sure if crime does pay. But if you 354 00:25:31,960 --> 00:25:33,879 Speaker 1: know that your child is going to go into a 355 00:25:33,920 --> 00:25:36,720 Speaker 1: life of crime, you can still suggest to them to 356 00:25:36,760 --> 00:25:41,320 Speaker 1: stay in school. Yeah, start saving for that college fund. Now, um, 357 00:25:41,359 --> 00:25:45,200 Speaker 1: all right, Well that's another edition of the off of podcast. 358 00:25:45,320 --> 00:25:48,159 Speaker 1: I'm Tracy Alloway and you can follow me on Twitter 359 00:25:48,280 --> 00:25:51,080 Speaker 1: at Tracy Alloway and I'm Joe Why Isn't All? You 360 00:25:51,119 --> 00:25:53,919 Speaker 1: can follow me on Twitter at the Stalwart and tune 361 00:25:53,920 --> 00:25:56,720 Speaker 1: in next week for the next edition of our money, 362 00:25:56,800 --> 00:26:08,399 Speaker 1: Markets and Crime series. The year to e