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Behavioral Economics in the NFL

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The Economics of the National Football League

Part of the book series: Sports Economics, Management and Policy ((SEMP,volume 2))

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. 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. 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    In fact, due to the relative infancy of the behavioral economics issues in the NFL, this chapter will include more unpublished work than likely appears in other chapters.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. 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. 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. 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. 6.

    A popular version of the draft value chart is shown as in the Appendix.

  7. 7.

    See the previously referenced draft value chart.

  8. 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. 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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Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paul B. Bursik .

Editor information

Editors and Affiliations

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

  1. Source: ESPN

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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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  • DOI: https://doi.org/10.1007/978-1-4419-6290-4_15

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