• 沒有找到結果。

We replicate the experiment of Wang et al. (2010). Furthermore, we conduct a simplified version and compare the results of both Treatments. The results of direct Replication are similar to that Wang et al. (2010). The behavior of subjects in the Simplified Treatment are closer to babbling equilibrium than in b = 2 of Replicate Treatment. The type of senders are classified as only L0 to L2. In addition, more senders are classified as L2 in the Simplified Treatment than in the Replicate Treatment. In the same way, more senders increase their proportion of choosing High (L2 or above) types in the Simplified Treatment than decrease, likely because it simpler game.

We could classified the choices of a L1 or L2 type sender into 3 cases in Simplified Treatment (see Table 14). First, when b = 0, the sender will tell the truth and will be trusted. Then, when b = 1 and s = 1 or 2, the sender usually tell a lie and will not be trusted. Finally, when b = 1 and e = 3, the sender will tell the truth but will not be trusted. Hope we can find some difference of brain activities in the potential fMRI research.12

12 In the paper-based post experimental questionnaire, we asked subjects, “Could you finish the tasks in the Simplified Treatment in 6 seconds? If not in the beginning, how many rounds of practice do you need to finish it in 6 seconds?”

78% of senders said they could finish it on time, or require at most 7 rounds of practice. The remaining 22% reported that they need 10 or more rounds before they can finish it on time.

26

Table 18:Identify 3 cases for potential fMRI research

Cases Bias State Message Prediction True and be

trusted

0 1, 2, 3 M=S P=M

True but not be trusted

1 3 M=3 P=2

Lie and not be trusted

1 1, 2 M=3 P=2

27

Reference

Cai, Hongbin and Joseph Tao-yi Wang. 2006. “Overcommunication in Strategic Information Transmission Games” Games and Economic Behavior, 56(1), 7-36.

Camerer, Colin F., Teck-Hua Ho, and Juin-Kuan Chong. 2004. “A Cognitive Hierarchy Model of Games.” Quarterly Journal of Economics, 119(3): 861–98.

Costa-Gomes, Miguel A. and Vincent P. Crawford. 2006. “Cognition and Behavior in Two-Person Guessing Games: An ExperimentaSl tudy.” The American Economic Review, 96(5): 1737-1768

Crawford, Vincent P. 2003. “Lying for Strategic Advantage: Rational and Boundedly Rational Misrepresentation of Intentions.” American Economic Review, 93(1): 133–49.

Crawford, Vincent P. and Joel Sobel. 1982. “Strategic Information Transmission”

Econometrica, 50(6): 1431-1451.

Dickhaut, John W. Kevin A. McCabe, and Arijit Mukherji. 1995. “An experimental study of strategic information transmission” Economic Theory, 6(6): 389-403.

Gneezy, Uri. 2005. “Deception: The Role of Consequences.” American Economic Review, 95(1): 384–94.

Kawagoe, Toshiji and Hirokazu Takizawa. 2009. “Equilibrium refinement vs. level-k

28

analysis: An experimental study of cheap-talk games with private information.” Games and Economic Behavior, 66(1): 238-255.

Nagel Rosemarie. 1995. “Unraveling in Guessing Games: An experimental study.” The American Economic Review, 85(5): 1313-1326

Serra-Garcia Marta, Eric van Damme and Jan Potters. 2011. “Hiding an inconvenient truth: Lies and Vagueness.” Games and Economic Behavior, 73(1): 244-261.

Sanchez-Pages, Santiago, and Marc Vorsatz. 2007. “An Experimental Study of Truth-Telling in a Sender-Receiver Game.” Games and Economic Behavior, 61(1): 86-112

Sanchez-Pages, Santiago, and Marc Vorsatz. 2009. “Enjoy the silence: an experiment on truth-telling.” Experimental Economics. 12(2): 220-241

Stahl Dale O. and Paul W. Wilson. 1995. “On players’ models of other players: Theory and experimental evidence.” Games and Economic Behavior, 10: 218-254

Vespa Emanuel and Alistair J. Wilson. 2014. “Communication with Multiple Senders: An experiment.” Working paper.

Wang, Joseph Tao-yi, Michael Spezio and Colin F. Camerer. 2010. “Pinocchio's Pupil:

Using Eyetracking and Pupil Dilation To Understand Truth Telling and Deception in Sender-Receiver Games” American Economic Review, 100(3): 984-1007.

29

Appendix:

Table A1: The number of total trials, given on bias, Replicate

Bias 0 1 2

Frequency 245 475 460

Table A2: Bias=0, Sender matrix, Replicate

Message 1 Message 2 Message 3 Message 4 Message 5 Total

Table A3: Bias=1, Sender matrix, Replicate

Message 1 Message 2 Message 3 Message 4 Message 5 Total

Table A4: Bias=2, Sender matrix, Replicate

Message 1 Message 2 Message 3 Message 4 Message 5 Total

Table A5: Bias=0, Receiver matrix, Replicate

Table A6: Bias=1, Receiver matrix, Replicate

Action 1 Action 2 Action 3 Action 4 Action 5 Total

Table A7: Bias=2, Receiver matrix, Replicate

Action 1 Action 2 Action 3 Action 4 Action 5 Total

Table A8: Bias=1, Expect Payoff of Sender, Replicate

Message 1 Message 2 Message 3 Message 4 Message 5

Table A9: Bias=2, Expect Payoff of Sender, Replicate

Table A10: Bias=1, Expect Payoff of Receiver, Replicate

Action 1 Action 2 Action 3 Action 4 Action 5

Table A11: Bias=2, Expect Payoff of Receiver, Replicate

Action 1 Action 2 Action 3 Action 4 Action 5

Table A12: The number of total trials without exchange role, given on bias, Simplified

Bias 0 1 -1

Frequency 542 1542 118

Table A13: Bias=-1, Sender matrix, Simplified

Message 1 Message 2 Message 3 Total

Table A14: Bias=0, Sender matrix, Simplified

Table A15: Bias=1, Sender matrix and reversed matrix of bias=-1, Simplified Message 1 Message 2 Message 3 Total

Table A16: Bias=-1, Prediction matrix, Simplified

Prediction 1 Prediction 2 Prediction 3 Total

Message 1 33 44 5 82

Message 2 6 13 4 23

Message 3 1 6 6 13

Total 40 63 15 118

Table A17: Bias=0, Prediction matrix, Simplified

Prediction 1 Prediction 2 Prediction 3 Total

Message 1 177 0 1 178

Message 2 0 181 0 181

Message 3 0 0 183 183

Total 177 181 184 542

33

Table A18: Bias=1, Prediction matrix and reversed matrix of bias=-1, Simplified Prediction 1 Prediction 2 Prediction 3 Total

Message 1 58 98 23 179

Message 2 96 121 41 258

Message 3 56 881 168 1105

Total 210 1100 232 1542

Reverse bias = -1

Prediction 1 Prediction 2 Prediction 3

Message 1 6 6 1

Message 2 4 13 6

Message 3 6 6 1

Table A19: Bias=-1, Receiver matrix, Simplified

Action 1 Action 2 Action 3 Total

Message 1 22 56 4 82

Message 2 1 8 14 23

Message 3 0 4 9 13

Total 23 68 27 118

Table A20: Bias=0, Receiver matrix, Simplified

Action 1 Action 2 Action 3 Total

Message 1 177 1 0 178

Message 2 0 180 1 181

Message 3 0 0 183 183

Total 177 181 184 542

Table A21: Bias=1, Receiver matrix and reserved matrix of bias=-1, Simplified Action 1 Action 2 Action 3 Total

Table A22:Sender Matrix, Robustness Check, bias=0 Without Catch Trials (Baseline) All Data

M=1 M=2 M=3 M=1 M=2 M=3

S=1 178 0 0 179 0 0

S=2 0 181 0 0 182 0

S=3 0 0 183 0 0 187

Table A23:Sender Matrix, Robustness Check, bias=1 Without Catch Trials (Baseline) All Data

M=1 M=2 M=3 M=1 M=2 M=3

S=1 107 133 311 121 145 348

S=2 35 81 385 42 97 434

S=3 37 44 409 49 62 450

Table A24:Receiver Matrix, Robustness Check, bias=0 Without Catch Trials (Baseline) All Data

A=1 A=2 A=3 A=1 A=2 A=3

M=1 177 1 0 188 1 0

M=2 0 180 1 0 186 1

M=3 0 0 183 0 0 196

Table A25:Receiver Matrix, Robustness Check, bias=1 Without Catch Trials (Baseline) All Data

A=1 A=2 A=3 A=1 A=2 A=3

M=1 123 52 4 143 64 5

M=2 140 112 6 167 130 7

M=3 167 739 199 180 818 234

Table A26:Prediction Matrix, Robustness Check, bias=0 Without Catch Trials (Baseline) All Data

=1 =2 =3 =1 =2 =3

M=1 177 0 1 188 0 1

M=2 0 181 0 0 187 0

M=3 0 0 183 0 0 196

35

Table A27:Prediction Matrix, Robustness Check, bias=1 Without Catch Trials (Baseline) All Data

=1 =2 =3 =1 =2 =3

M=1 58 98 23 72 116 24

M=2 96 121 41 102 151 51

M=3 56 881 168 62 920 181

Table A28: Bias=1, Expect Payoff of Sender, Simplified

Message 1 Message 2 Message 3

State 1 79 83 90

State 2 37 44 68

State 3 -20 -11 21

Table A29: Bias=1, Expect Payoff of Receiver, Simplified

Action 1 Action 2 Action 3

Message 1 78 76 47

Message 2 77 79 50

Message 3 60 80 67

Table A30:Learning Results: Correlation in Replicate Treatment Rounds Bias CorrSM CorrMA CorrSA

Table A31:Learning Results: Payoffs in Replicate Treatment

Rounds Bias u_S (std) u_R (std)

Table A32:Learning Results: Correlation in Simplified Treatment Rounds Bias CorrSM CorrMA CorrSA

1-20

0 1.000 0.995 0.995

21-40 1.000 1.000 1.000

1-20

1 0.260 0.439 0.127

21-40 0.219 0.404 0.104

Table A33:Learning Results: Correlation in Simplified Treatment

Rounds Bias u_S (std) u_R (std)

1-20

0 99.79 2.49 99.79 2.49

21-40 100.00 0.00 100.00 0.00

1-20

1 53.23 40.52 75.19 24.90

21-40 58.12 38.01 76.52 22.84

37

Experimental Instructions

4. 報酬決定

TASSEL 實驗說明 p.2

相關文件