Comments on the Final Exam

The final exam will primarily cover conceptual issues that we've covered in the readings and in class. Topics covered in class will naturally get the most emphasis, although some material from the readings that did not get much class time is of course also fair game.

Questions will mostly be short answer and essay in nature. There may also be a simple calculation or two (e.g., a Bayes Rule problem, a simple application of regression, an expected utility and/or expected value calculation).

You may appeal to 3 regular size (8.5 x 11 inch) sheets of notes for the exam. Don't worry, you will not need to memorize trivial details.

If the following list of terms and concepts is familiar to you, all should be well. ("Familiar" roughly means that you could provide a short definition, description, or example of each concept, explain why it's important, and/or note similarities and differences between related concepts.)

  • descriptive and normative analyses of decision making and judgment
  • tradeoffs and uncertainty; beliefs and values
  • misperceptions of chance; the gambler's fallacy; the hot hand in basketball
  • illusory correlation; the illusion of control
  • decision processes and decision outcomes; self-serving attributions of luck and skill
  • evaluting good decisions and good decision makers
  • feedback problems: missing, entwined, confused, and ignored feedback
  • intuitive prediction and formal models: strengths and weaknesses
  • regression to the mean and nonregressive prediction
  • base-rate neglect; Bayes Rule
  • conjunction fallacies in judgment
  • overconfidence
  • the winner's curse
  • letting sunk costs influence decisions
  • confirmation bias
  • availability heuristic
  • representativeness heuristic (and local representativeness)
  • anchoring and adjustment heuristic
  • value-focused thinking (vs. alternative focused thinking)
  • decision metaphors
  • boundaries, yardsticks, reference points
  • endowment effect and status quo bias
  • integrating beliefs and values
  • expected value; St. Petersburg Paradox; Expected utility theory
  • axioms of rational choice
  • risk attitudes: risk aversion and risk seeking
  • isolated and combined choices (and "isolation errors")
  • the Allais paradox
  • prospect theory value function
  • outcomes defined as gains and losses relative to a reference point
  • diminishing sensitivity of gains and losses
  • loss aversion
  • prospect theory probability weighting function
  • possibility, certainty, and pseudocertainty effects; diminishing sensitivity of probability
  • mental accounting; integrating and segregating gains and losses
  • acquisition and transaction utility
  • intertemporal choice anomalies: non-constant discount rates (varying as a function of outcome size, time delay, gains/losses, etc.); negative discount rates; reference points in intertemporal choice