Knowledge (XXG)

Rank-dependent expected utility

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A natural explanation of these observations is that individuals overweight low-probability events such as winning the lottery, or suffering a disastrous insurable loss. In the Allais paradox, individuals appear to forgo the chance of a very large gain to avoid a one per cent chance of missing out on
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The crucial idea of rank-dependent expected utility was to overweigh only unlikely extreme outcomes, rather than all unlikely events. Formalising this insight required transformations to be applied to the cumulative probability distribution function, rather than to individual probabilities
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The central idea of rank-dependent weightings was then incorporated by Daniel Kahneman and Amos Tversky into prospect theory, and the resulting model was referred to as
792: 757: 240: 342: 70:. In prospect theory, violations of dominance were avoided by the introduction of an 'editing' operation, but this gave rise to violations of 51:
an otherwise certain large gain, but are less risk averse when offered the chance of reducing an 11 per cent chance of loss to 10 per cent.
595: 585:{\displaystyle h_{}(\mathbf {\pi } )=q\left(\sum \limits _{t=1}^{s}\pi _{}\right)-q\left(\sum \limits _{t=1}^{s-1}\pi _{}\right)} 54:
A number of attempts were made to model preferences incorporating probability theory, most notably the original version of
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Tversky, Amos and Daniel Kahneman. Advances in prospect theory: Cumulative representation of uncertainty.
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As the name implies, the rank-dependent model is applied to the increasing rearrangement
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Kahneman, Daniel and Amos Tversky. Prospect Theory: An Analysis of Decision under Risk,
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Generalized expected utility model of choice under uncertainty
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Generalized Expected Utility Theory. The Rank-Dependent Model
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Quiggin, J. (1982), ‘A theory of anticipated utility’,
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Boston: Kluwer Academic Publishers, 1993. 114: 883: 873: 862: 839: 824: 808: 802: 764: 729: 673: 640: 618: 603: 597: 565: 549: 538: 506: 496: 485: 462: 447: 441: 418: 403: 397: 375: 374: 367: 366: 346: 344: 314: 296: 281: 265: 250: 242: 213: 182: 163: 157: 137: 135: 110: 105: 102: 931:so that the decision weights sum to 1. 429:{\displaystyle h_{}(\mathbf {\pi } )} 7: 859: 535: 482: 436:is a probability weight such that 815: 354: 272: 14: 251: 138: 106: 89:(Tversky & Kahneman, 1992). 949:Journal of Risk and Uncertainty 123:{\displaystyle \mathbf {y} _{}} 21:rank-dependent expected utility 912: 906: 890: 884: 844: 836: 831: 825: 775: 769: 740: 734: 717:{\displaystyle q:\rightarrow } 711: 699: 696: 693: 681: 668:for a transformation function 647: 641: 623: 615: 610: 604: 572: 566: 513: 507: 467: 459: 454: 448: 423: 415: 410: 404: 371: 326: 321: 315: 307: 301: 293: 288: 282: 255: 247: 220: 214: 189: 183: 170: 164: 115: 111: 1: 145:{\displaystyle \mathbf {y} } 29:generalized expected utility 1007: 87:cumulative prospect theory 23:model (originally called 944:, XVLII (1979), 263-291. 976:Favourite-longshot bias 925: 878: 788: 787:{\displaystyle q(1)=1} 753: 752:{\displaystyle q(0)=0} 718: 660: 586: 560: 501: 430: 386: 333: 229: 146: 124: 31:model of choice under 926: 858: 789: 754: 719: 661: 587: 534: 481: 431: 387: 334: 230: 147: 125: 93:Formal representation 801: 763: 728: 672: 596: 440: 396: 343: 241: 156: 134: 101: 68:stochastic dominance 25:anticipated utility 951:, 5:297–323, 1992. 921: 819: 784: 749: 714: 656: 582: 426: 382: 329: 276: 225: 142: 120: 804: 261: 998: 930: 928: 927: 922: 899: 895: 894: 893: 877: 872: 843: 835: 834: 818: 793: 791: 790: 785: 758: 756: 755: 750: 723: 721: 720: 715: 665: 663: 662: 657: 655: 651: 650: 622: 614: 613: 591: 589: 588: 583: 581: 577: 576: 575: 559: 548: 522: 518: 517: 516: 500: 495: 466: 458: 457: 435: 433: 432: 427: 422: 414: 413: 391: 389: 388: 383: 378: 370: 350: 338: 336: 335: 330: 325: 324: 300: 292: 291: 275: 254: 234: 232: 231: 226: 224: 223: 193: 192: 174: 173: 152:which satisfies 151: 149: 148: 143: 141: 129: 127: 126: 121: 119: 118: 109: 1006: 1005: 1001: 1000: 999: 997: 996: 995: 981: 980: 972: 937: 879: 857: 853: 820: 799: 798: 761: 760: 726: 725: 670: 669: 636: 632: 599: 594: 593: 561: 533: 529: 502: 480: 476: 443: 438: 437: 399: 394: 393: 341: 340: 310: 277: 239: 238: 209: 178: 159: 154: 153: 132: 131: 104: 99: 98: 95: 82:, 1982, 1993). 60:Daniel Kahneman 58:, presented by 56:prospect theory 17: 12: 11: 5: 1004: 1002: 994: 993: 983: 982: 979: 978: 971: 968: 967: 966: 959: 952: 945: 936: 933: 920: 917: 914: 911: 908: 905: 902: 898: 892: 889: 886: 882: 876: 871: 868: 865: 861: 856: 852: 849: 846: 842: 838: 833: 830: 827: 823: 817: 814: 811: 807: 783: 780: 777: 774: 771: 768: 748: 745: 742: 739: 736: 733: 713: 710: 707: 704: 701: 698: 695: 692: 689: 686: 683: 680: 677: 654: 649: 646: 643: 639: 635: 631: 628: 625: 621: 617: 612: 609: 606: 602: 580: 574: 571: 568: 564: 558: 555: 552: 547: 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700:[ 694:] 691:1 688:, 685:0 682:[ 679:: 676:q 653:) 648:] 645:S 642:[ 634:( 630:q 627:= 624:) 616:( 611:] 608:S 605:[ 601:h 579:) 573:] 570:t 567:[ 557:1 551:s 546:1 543:= 540:t 531:( 527:q 520:) 514:] 511:t 508:[ 498:s 493:1 490:= 487:t 478:( 474:q 471:= 468:) 460:( 455:] 452:s 449:[ 445:h 424:) 416:( 411:] 408:s 405:[ 401:h 380:, 376:R 368:R 364:: 361:u 358:, 327:) 322:] 319:s 316:[ 312:y 308:( 305:u 302:) 294:( 289:] 286:s 283:[ 279:h 267:s 259:= 256:) 252:y 248:( 245:W 221:] 218:S 215:[ 211:y 204:. 201:. 198:. 190:] 187:2 184:[ 180:y 171:] 168:1 165:[ 161:y 139:y 116:] 112:[ 107:y 78:(

Index

generalized expected utility
uncertainty
Allais paradox
risk-loving
risk aversion
prospect theory
Daniel Kahneman
Amos Tversky
stochastic dominance
transitivity
Quiggin
cumulative prospect theory
Favourite-longshot bias
Category
Utility

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