Abstract
More than to create a much needed void in the sports economics literature, the main purpose of this chapter is to point out the void that is already there. It is really quite naturally the last void in a field of economics to be filled.
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Notes
- 1.
Jim teaches economics at Eastern Michigan University. He quipped this to Kevin Quinn and me during a conversation at one of the annual meetings of the Midwest Economics Association. I don’t know if the quote originated with Jim, but that is where I heard it first.
- 2.
In fact, due to the relative infancy of the behavioral economics issues in the NFL, this chapter will include more unpublished work than likely appears in other chapters. This includes, with apologies, some work by the author.
- 3.
In the interest of full disclosure, the author teaches finance. So examples from finance result from the author’s familiarity with that literature.
- 4.
Closer to home for the NFL, an internet search including the terms NFL and irrational will produce a wall of literature regarding inefficiencies in the wagering markets for the NFL. Here again, departures from rationality are too obvious to ignore, and cannot easily be explained away.
- 5.
Perhaps a bad example, since Thaler’s work on the draft has been an important contribution to this literature. It turns out that for behavioral finance professors, low hanging behavioral fruit is now much more plentiful outside of finance than inside of finance—including in studies of the economics of sports!
- 6.
A popular version of the draft value chart is shown as in the Appendix.
- 7.
See the previously referenced draft value chart.
- 8.
Of course, a team could choose not to spend the extra money on veterans. If the impact is solely to have one more (later) pick or undrafted free agent make the team for those patient teams that are trading down, we would expect those who trade up to have the immediate advantage in terms of on-field performance.
- 9.
The year of the trade would mean the season commencing in the same year as the draft, about 4 months after the draft.
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Appendix: NFL Draft Value Chart with Pick Numbers and Values
Appendix: NFL Draft Value Chart with Pick Numbers and Values
Pk# | Val | Pk# | Val | Pk# | Val | Pk# | Val | Pk# | Val | Pk# | Val | Pk# | Val |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3,000 | 33 | 580 | 65 | 265 | 97 | 112 | 129 | 43 | 161 | 28 | 193 | 15.2 |
2 | 2,600 | 34 | 560 | 66 | 260 | 98 | 108 | 130 | 42 | 162 | 27.6 | 194 | 14.8 |
3 | 2,200 | 35 | 550 | 67 | 255 | 99 | 104 | 131 | 41 | 163 | 27.2 | 195 | 14.4 |
4 | 1,800 | 36 | 540 | 68 | 250 | 100 | 100 | 132 | 40 | 164 | 26.8 | 196 | 14 |
5 | 1,700 | 37 | 530 | 69 | 245 | 101 | 96 | 133 | 39.5 | 165 | 26.4 | 197 | 13.6 |
6 | 1,600 | 38 | 520 | 70 | 240 | 102 | 92 | 134 | 39 | 166 | 26 | 198 | 13.2 |
7 | 1,500 | 39 | 510 | 71 | 235 | 103 | 88 | 135 | 38.5 | 167 | 25.6 | 199 | 12.8 |
8 | 1,400 | 40 | 500 | 72 | 230 | 104 | 86 | 136 | 38 | 168 | 25.2 | 200 | 12.4 |
9 | 1,350 | 41 | 490 | 73 | 225 | 105 | 84 | 137 | 37.5 | 169 | 24.8 | 201 | 12 |
10 | 1,300 | 42 | 480 | 74 | 220 | 106 | 82 | 138 | 37 | 170 | 24.4 | 202 | 11.6 |
11 | 1,250 | 43 | 470 | 75 | 215 | 107 | 80 | 139 | 36.5 | 171 | 24 | 203 | 11.2 |
12 | 1,200 | 44 | 460 | 76 | 210 | 108 | 78 | 140 | 36 | 172 | 23.6 | 204 | 10.8 |
13 | 1,150 | 45 | 450 | 77 | 205 | 109 | 76 | 141 | 35.5 | 173 | 23.2 | 205 | 10.4 |
14 | 1,100 | 46 | 440 | 78 | 200 | 110 | 74 | 142 | 35 | 174 | 22.8 | 206 | 10 |
15 | 1,050 | 47 | 430 | 79 | 195 | 111 | 72 | 143 | 34.5 | 175 | 22.4 | 207 | 9.6 |
16 | 1,000 | 48 | 420 | 80 | 190 | 112 | 70 | 144 | 34 | 176 | 22 | 208 | 9.2 |
17 | 950 | 49 | 410 | 81 | 185 | 113 | 68 | 145 | 33.5 | 177 | 21.6 | 209 | 8.8 |
18 | 900 | 50 | 400 | 82 | 180 | 114 | 66 | 146 | 33 | 178 | 21.2 | 210 | 8.4 |
19 | 875 | 51 | 390 | 83 | 175 | 115 | 64 | 147 | 32.6 | 179 | 20.8 | 211 | 8 |
20 | 850 | 52 | 380 | 84 | 170 | 116 | 62 | 148 | 32.2 | 180 | 20.4 | 212 | 7.6 |
21 | 800 | 53 | 370 | 85 | 165 | 117 | 60 | 149 | 31.8 | 181 | 20 | 213 | 7.2 |
22 | 780 | 54 | 360 | 86 | 160 | 118 | 58 | 150 | 31.4 | 182 | 19.6 | 214 | 6.8 |
23 | 760 | 55 | 350 | 87 | 155 | 119 | 56 | 151 | 31 | 183 | 19.2 | 215 | 6.4 |
24 | 740 | 56 | 340 | 88 | 150 | 120 | 54 | 152 | 31.8 | 184 | 18.8 | 216 | 6 |
25 | 720 | 57 | 330 | 89 | 145 | 121 | 52 | 153 | 31.2 | 185 | 18.4 | 217 | 5.6 |
26 | 700 | 58 | 320 | 90 | 140 | 122 | 50 | 154 | 30.8 | 186 | 18 | 218 | 5.2 |
27 | 680 | 59 | 310 | 91 | 136 | 123 | 49 | 155 | 30.4 | 187 | 17.6 | 219 | 4.8 |
28 | 660 | 60 | 300 | 92 | 132 | 124 | 48 | 156 | 30 | 188 | 17.2 | 220 | 4.4 |
29 | 640 | 61 | 292 | 93 | 128 | 125 | 47 | 157 | 29.6 | 189 | 16.8 | 221 | 4 |
30 | 620 | 62 | 284 | 94 | 124 | 126 | 46 | 158 | 29.2 | 190 | 16.4 | 222 | 3.6 |
31 | 600 | 63 | 276 | 95 | 120 | 127 | 45 | 159 | 28.8 | 191 | 16 | 223 | 3.3 |
32 | 590 | 64 | 270 | 96 | 116 | 128 | 44 | 160 | 28.4 | 192 | 15.6 | 224 | 3 |
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Bursik, P.B. (2012). Behavioral Economics in the NFL. In: Quinn, K. (eds) The Economics of the National Football League. Sports Economics, Management and Policy, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6290-4_15
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