class: center, middle, inverse, title-slide # Introduction to Limited Rationality ## EC404; Fall 2022 ### Prof. Ben Bushong ### Last updated February 17, 2022 --- layout: true <div class="msu-header"></div> <div style = "position:fixed; visibility: hidden"> `$$\require{color}\definecolor{yellow}{rgb}{1, 0.8, 0.16078431372549}$$` `$$\require{color}\definecolor{orange}{rgb}{0.96078431372549, 0.525490196078431, 0.203921568627451}$$` `$$\require{color}\definecolor{MSUgreen}{rgb}{0.0784313725490196, 0.52156862745098, 0.231372549019608}$$` </div> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ TeX: { Macros: { yellow: ["{\\color{yellow}{#1}}", 1], orange: ["{\\color{orange}{#1}}", 1], MSUgreen: ["{\\color{MSUgreen}{#1}}", 1] }, loader: {load: ['[tex]/color']}, tex: {packages: {'[+]': ['color']}} } }); </script> <style> .yellow {color: #FFCC29;} .orange {color: #F58634;} .MSUGreen {color: #14853B;} </style> --- class: inverseMSU name: Overview # Some Thoughts --- class: MSU # Introduction to Limited Rationality We can think about the idea of "Limited Rationality" in two ways (both are inspired by tons of work in psychology and under-explored in economics): 1. Informally: "Ways that our probabilistic beliefs are wrong". We call these collected errors **Quasi-Bayesian**. - [1.1] Errors in probabilistic judgments about things. e.g., base-rate neglect, gambler's fallacy. - [1.2] Errors in statistical reasoning about volitional agents e.g., level-k reasoning, cursedness and inferential naivety, hindsight bias. - [1.3] "Motivated cognition": preferences and emotions distorting probabilistic judgments e.g., cognitive dissonance, self-serving biases. -- But category we do for next few weeks `\(\dots\)` --- class: MSU # Introduction to Limited Rationality ### "Quasi-Maximization" We will model the person as engaging in traditional constrained maximization at each moment in time. - But specify exact mistake the person is making in which function she is maximizing, or in what choice set she is choosing from. -- Does not correspond to maximizing **true** preferences because - [1.1] Present bias: moment by moment, you maximize full intertemporal utility, but at each moment tend to overweight current utility (and may mispredict the propensity to do so in the future). - [1.2] Utility misprediction: because of current tastes or current focus, you (actively or passively) mispredict utility of future situations. - [1.3] " Decision neglect" and "narrow bracketing": maximizing true utility among each choice set you focus on, but don't focus globally --- class: MSU # Introduction to Limited Rationality ### Quasi-Maximization Defined More Broadly Person maximizes a particular " goal" given his choice set: $$ \text{Max}_{x\in X} V(x).$$ -- But `\(V\)` not actual utility function **should** be maximizing. --- class: MSU # Introduction to Limited Rationality Lesson and theme for economics of quasi-maximization perspective: - Have we ever chosen our " life course" ? -- `\(\Rightarrow\)` Our piecemeal maximization may lead to life course we never **chose**. -- - A smoker "decided" thousands of times to smoke ... but did she ever decide to become a smoker? - A person in $12,000 credit-card debt made all the choices leading to that debt ... but did she ever decide to be $12,000 in debt? -- All three quasi-maximization errors contribute. --- class: MSU # Decision Neglect and Narrow Bracketing ### Life. -- Life's a bitch \_\_\_\_\_\_\_\_, and then \_\_\_\_\_\_\_ you die. - Life's a bitch *of a complicated expected-utility maximization problem*, and then *millions of isolated decisions taken and billions of potential decisions untaken later* you die. - Economic models tend to operate as if we sit down and formulate a complete contingent plan of what we'll do. And then we implement that choice. -- Of course, perfect planning followed by perfect execution of plans is not what people do. Two hard-to-distinguish departures: -- 1. **Decision Neglect:** We make choices in only infinitesimal percentage of infinity of choice sets we face. -- 2. **Narrow bracketing:** We don't fully integrate our decisions with other decisions even when we could increase utility from doing so. --- class: MSU # Decision Neglect and Narrow Bracketing Nobody (including economists) thinks people do the maximize-complete-contingent-lifetime-expected-utility thing. But turns out our failure to do global maximization matters. -- - This limit to rationality is the closest to a complexity-based mistake that we'll discuss in this course. (There are, of course, others) -- We'll show: - People narrowly bracket even in relatively simple settings. -- - The **way** people narrowly bracket is suboptimal within the class of narrow-bracketing rules of behavior. -- - `\(\dots\)` and worse than **simpler** rules. --- class: MSU # Decision Neglect and Narrow Bracketing Life is an infinite series of (potential) choice sets, `\(X_{1}, X_{2}, \dots X_{N},\)` . -- When facing choice sets `\(X\)` and `\(Y\)`, the agent ### Should: `$$\text{Max}_{x,y\in X\times Y} u(x,y).$$` -- ### Instead might: - **Decision Neglect**: "choose" some `\(\overline{x}\in X\)` without thinking, or -- - **Narrowly Bracket**: } `\(\text{Max}_{x\in X} u(x),\)` and `\(\text{Max}_{y\in Y} u(y)\)` separately. --- class: MSU # Decision Neglect and Narrow Bracketing Casey faces choice: 50/50 lose $80 / lose nothing over lose $35 for sure? -- - Per prospect theory, Casey may choose the 50/50 gamble. - This is throwing away expected value. -- What if Casey has a coin in their pocket. Could take the sure loss $35, then play 50/50 $40 with person next to them. -- - This generates 50/50 lose $75, gain $5. - Unambiguously better than what most people do. -- **Deeper question:** what does it mean if *merely reminding you of a possibility* changes your choice? --- class: MSU # Decision Neglect and Narrow Bracketing # Social-preferences example - Suppose you are choosing between 15 apples for self and 0 for an anonymous other vs. 9 for self and 4 for that other person. **Would you choose (15, 0), or (9, 4)?** -- Could take the 15 apples and split them up any way you want. - Didn't prevent you from doing whatever you wanted afterwards. - (15,0) isn't your final allocation if you don't want it to be. - Why not turn (15,0) into (9,6)? -- Huge literature in economics about so-called "Dictator Games". - How many $10 dictator games did person to left of you play yesterday? --- class: MSU # Decision Neglect and Narrow Bracketing These are cases of " Decision Neglect" . - Experimenters bring into focus relevant pies to pay attention to, and the relevant set of people to split it among. - But more generally in life such focus happens by accident, by the design of others, and occasionally by our own design. --- class: MSU # Decision Neglect and Narrow Bracketing Two general approaches to showing that people "narrowly bracket" : - Direct---show people don't combine problems they'd be better off combining. - Indirect---combine presumptive facts about "background noise" to argue calibrationally that observed choices are " too non-linear" to be consistent with integrating with unobserved other parts of life. - Note: "indirect" shows simultaneously that people don't even narrowly bracket in as wise a way as they could. --- class: MSU # Decision Neglect and Narrow Bracketing **Decision (i):** Choose between > $240 for certain and (.25, $1000; .75, $0) **Decision (ii):** Choose between > $-750 for certain and (.75, -$1000; .25, $0) -- What does Prospect Theory tell us about behavior in this setting? - 84% A over B, 87% D over C. -- ### This is an error of narrow bracketing! --- class: MSU # Decision Neglect and Narrow Bracketing We can see the real problem when we look at the combination of choices. Subjects' combined choices: - 73% AD, 11% AC, 14% BD, 3% BC. -- But: - AD is really a lottery composed of: (.75, -$760; .25, $240). - BC is really a lottery composed of: (.75, -$750; .25 +$250). -- So prefering AD to BC inconsistent with any theory ever proposed in either psychology or economics. --- class: MSU # Decision Neglect and Narrow Bracketing ### So What? You might retort: Okay, so people don't do impossible and completely integrate life choices. And? -- **Answer 1:** yes, impossible. And so we study it. - Claim is not that people are stupider than they have to be given that they are subject to human constraints. - Humans on average make the mistakes that humans on average make. - The point is rather: people are less rational than economic models suppose, in ways that matter. -- **Answer 2:** This situation is in your face, and still don't integrate. - So we've learned something about how powerful it is. --- class: MSU # Decision Neglect and Narrow Bracketing **Answer 3:** This result is general; it's not about these preferences, or this pair of choices. Rabin and Weizsacker argue the violation we just illustrated - can occur for arbitrarily small degrees of narrow bracketing - can be economically significant - appear in a wide range of experimental tasks - Almost surely is exhibited massively in non-campus life.