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Sunk ‘Decision Points’: a theory of the endowment effect and present bias

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Abstract

This paper presents a very simple model in which situational cues associated with a particular consumption good compel an agent—who may have otherwise been “thinking about” something else—to consider the decision to consume that good. Within this framework, it is shown how an endowment effect and a present bias can arise through a common mechanism. The analysis points to a novel, contributing role for inattention (of a particular form) in understanding both of these behavioral anomalies while also speaking to evidence that they are often cue-induced.

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Notes

  1. See, for example, evidence from Chabris et al. (2009) that decision-making is a cognitively costly activity that requires time as an input.

  2. While the emphasis on limited attention as a potential bridge between the anomalies is unique, the general notion that limited attention might play a role in the endowment effect is supported by Carmon and Ariely (2000) and Nayakankuppam and Mishra (2005), while Radu et al. (2011) provides similar evidence in present bias. Various forms of limited attention are also central to Bordalo et al.’s (2012) ‘salience’-based theoretical account of the endowment effect, as well as Kőszegi and Szeidl (2013) ‘focusing’-based and Taubinsky’s (2014) inattentive choice theories that explain aspects of present bias.

  3. Here, we focus on experiments that use money as a medium for exchange because these experiments provide more direct measures of value, which will allow us to quantify an endowment effect in terms of the model’s parameters. With that said, the framework can also speak to experimental demonstrations of the endowment effect based on exchange asymmetries, in which subjects receive one of two consumption goods prior to expressing their willingness to trade the endowed good for the unendowed good.

  4. While there are multiple ways to formalize the exchange opportunity (on its own) as a less salient cue, the simplest is probably allowing it to raise a buyer’s \(t=0\) decision point probability from \(\pi \) to some \(\pi '\) satisfying \(\pi<\pi '<1\). In this case, the WTA–WTP disparity would be \(v^A(e)-v^P(e)\)\(=\)\(\pi '-\pi \) > 0.

  5. With hypothetical rewards, it is often unclear whether subjects ought to choose the alternative that they would prefer to have had in their pre-existing endowment, in which case the future good may not be evaluated as if it involves a cue, or to choose the alternative that they would prefer to receive into their endowment at that time. This ambiguity is evident in an excerpt from the sample instructions in Thaler’s (1981) classic study: “choose between: (A.1) One apple today. (A.2) Two apples tomorrow.”

  6. To see that the fixed cost equals the expected decision opportunity cost, note that the net, time-zero value from receiving \(e(\tau )\) with \(\tau >0\) is \(\beta \delta ^{\tau }e=\delta ^{\tau }(e-(1-\pi ))\). This formulation is similar to the fixed-cost present bias in Benhabib et al. (2010), except in their model the fixed cost associated with choosing a future good is experienced immediately as opposed to the time of its acquisition. Nonetheless, their model also implies that a sufficiently low-value future option may actually be undesirable. As they write, “with a fixed cost, small amounts offered in the future, say a dollar, may be worth a negative amount today.”

  7. As a numerical example, let \(e_e=1\), \(e_\ell =1.2\), \(\delta =.9\), and \(\pi =.5\). Then, the earlier endowment \(e_e(1)\) would not be preferred to the later endowment \(e_\ell (2)\) (with an earlier\(\,-\,\)later expected lifetime utility difference of \(-0.117\) for received goods and \(-0.036\) for non-cueing goods). However, the earlier endowment would be preferred if preferences are re-elicited at \(t=1\) (with an earlier\(\,-\,\)later expected lifetime utility difference of 0.37 for received goods and 0.46 for non-cueing goods).

  8. With the simple cue representation, the model would imply complete crowding out in these experiments. With persistence and/or uncertainty, however, two concurrent cues (namely, receiving the good and time-preference elicitation) could be more salient than either cue in isolation, implying only partial crowding out would occur. In contrast, the standard view that treats the two anomalies as distinct phenomena would imply zero crowding out in that if \(v^P/v^A\) and \(\beta \) are measured (separately) in their typical experiments, then an unowned-and-delayed good would be devalued by \(\beta v^P/v^A\) relative to a received-and-immediate good (above and beyond discounting via \(\delta ^t\)) in such a combined experiment.

  9. Studies demonstrating an induced endowment effect due to physical contact or exposure include Reb and Connolly (2007), Wolf et al. (2008), Peck and Shu (2009), and Bushong et al. (2010); the link to present bias is highlighted by Loewenstein (1996) and Laibson (2001). The anomalies’ potential overlap is also alluded to by Hoch and Loewenstein (1991).

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Acknowledgements

I am grateful to the editor and referee for their excellent feedback, which greatly improved the paper. I also thank Attila Ambrus, Peter Arcidiacono, Mike Dalton, Rachel Kranton, and Philipp Sadowski for their helpful comments in the early stages of this project.

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Correspondence to Peter Landry.

A Appendix

A Appendix

1.1 A.1 Generalization to durable goods

Now, assume that the good is durable. Then, the benchmark expected lifetime utility and the expected lifetime utility with a cue at t are unchanged: \({\overline{U}}=\sum _{t=0}^{\infty }\delta ^t(1-\pi )=\frac{1-\pi }{1-\delta }\), \(U[t]={\overline{U}}-(1-\pi )\delta ^t\). The expected lifetime utility for the endowment \(e(\tau )\) is now \(U[e(\tau )]={\overline{U}}+\sum _{k=0}^{\infty }\pi \delta ^{\tau +k}(1-\pi )^k e={\overline{U}}+\frac{e\pi \delta ^{\tau }}{1-\delta (1-\pi )}\), where \(\pi \cdot (1-\delta (1-\pi ))^{-1}\) is the expected excess discount from the time of the endowment to the time of its eventual consumption (i.e., at the first cue on or after \(\tau \)).

For a scenario that involves a cue at t and an endowment \(e(\tau )\), we have

$$\begin{aligned} {U[t;e(\tau )]\;=\;\left\{ \begin{array}{ccl} {\overline{U}}-(1-\pi )\delta ^t+e \delta ^{\tau }&{}&{}\text {if}\ \,t=\tau ,\\ {\overline{U}}-(1-\pi )\delta ^t+{\displaystyle \frac{e\pi \delta ^{\tau }}{1-\delta (1-\pi )}}&{}\;\;\;\;&{}\text {if}\ \,t\ne \tau . \end{array}\right. } \end{aligned}$$

It is readily verifiable that Proposition 1, part (i) of Proposition 2, Corollary 1, and Propositions 36 do not need to be changed to accommodate durable goods because they hold exactly as they did for perishable goods. For part (ii) of Proposition 2, the result holds except we need to modify the measured present bias factor for non-cueing goods, as it is now given by \(\beta =\pi (1-\delta (1-\pi ))^{-1}<1\). This expression can be derived from the indifference condition \(U[0;e(\tau )]=U[0;D_\tau e(0)]\) using the above expression for \(U[t;e(\tau )]\).\(\square \)

1.2 A.2 Generalization to cue persistence

Now, assume cues induce decision points “tomorrow,” i.e., a cue in t induces a decision point in \(t+1\). This extension is nontrivial only if today’s decision point remains uncertain, so for simplicity, assume that a cue in t does not affect the decision point probability in t.

In this case, \(U[0]={\overline{U}}-\delta (1-\pi )\). Therefore, as with Proposition 1, there is still a WTA–WTP disparity, except now \(v^A(e)-v^P(e)={\overline{U}}-U[0]=\delta (1-\pi )\).

To show that part (i) of Proposition 2 carries over, use

$$\begin{aligned} U[0,\tau ;e(\tau )]= & {} {\overline{U}}-\delta (1-\pi )(1+\delta ^{\tau })+(\pi +\delta (1-\pi ))\delta ^{\tau }e,\\ U[0;D_{\tau }e(0)]= & {} {\overline{U}}-\delta (1-\pi )+(\pi +\delta (1-\pi ))D_{\tau } e. \end{aligned}$$

Solving for the elicited discount function from the indifference condition gives \(D_\tau =\beta \delta ^{\tau }\), where the elicited present bias for received goods is now

$$\begin{aligned} {\beta =\left( 1-\frac{\delta (1-\pi )}{(\pi +\delta (1-\pi ))e}\right) <1.} \end{aligned}$$

Here, \(\beta \) is increasing in e, which establishes the magnitude effect from Corollary 1.

For part (ii) of Proposition 2, we assume \(\tau \ge 2\) to avoid complications from interference between the decision point induced by elicitation and the future endowment’s acquisition. Using the above expressions, we again get \(D_\tau =\beta \delta ^{\tau }\), except for non-cueing goods, we have

$$\begin{aligned} {\beta =\frac{\pi }{\pi +\delta (1-\delta )(1-\pi )^2}<1.} \end{aligned}$$

For Proposition 3, as before, we have \(v^A(e)=v^P(e)=U[0;(a+e)(0)]-U[0;a(0)]\), so that the auxiliary good still eliminates the WTA–WTP disparity.

For Proposition 4, the indifference condition used to solve for the elicited discount function is \(U[0,\tau ;a(0),(e+a)(\tau )]=U[0,\tau ;(a+D_{\tau }e)(0),a(\tau )]\), where

$$\begin{aligned} U[0,\tau ;a(0),(e+a)(\tau )]= & {} \,{\overline{U}}-\delta (1-\pi )(1+\delta ^{\tau })+(a+(e+a)\delta ^{\tau })(\pi +\delta (1-\pi )),\\ U[0,\tau ;(a+D_{\tau }e)(0),a(\tau )]= & {} \,{\overline{U}}-\delta (1-\pi )(1+\delta ^{\tau })+(a+D_{\tau }e+a\delta ^{\tau })(\pi +\delta (1-\pi )). \end{aligned}$$

This implies \(D_\tau =\delta ^\tau \), as desired.

Noting that the elicited present bias factor for received goods in this setting is given by \(\beta =\delta (1-\pi )[(\pi +\delta (1-\pi ))e]^{-1}\), Proposition 5 still holds, because

$$\begin{aligned} {\frac{v^P(e)}{v^A(e)}=\frac{U[0;e(0)]-{\overline{U}}}{U[0;e(0)]-U[0]}=1-\frac{\delta (1-\pi )}{(\pi +\delta (1-\pi ))e}.} \end{aligned}$$

Proposition 6 still holds because, as before, \(v^P(e)=-v^C(e)\).

1.3 A.3 Time inconsistency

As previewed in Sect. 4.2, the next result establishes necessary and sufficient conditions for time-inconsistent preferences. In doing so, we see that preferences can only shift from a later option to an earlier option when the earlier option becomes available.

Proposition 7

Suppose preferences are elicited at \(t=0\) and again at \(t_0\), with \(t_1>t_0>0\):

(i) If \(e_1(t_1)\) is strictly preferred to \(e_0(t_0)\) at time-zero elicitation, then \(e_0(t_0)\) will become strictly preferred to \(e_1(t_1)\) at time-\(t_0\) elicitation if and only if \((e_0-\delta ^{t_1-t_0}e_1)/(1-\pi )\in S\), where \(S\equiv (-\delta ^{t_1-t_0},1-\delta ^{t_1-t_0})\) for received goods and \(S\equiv (-e_1,0)\) for non-cueing goods.

(ii) If \(e_0(t_0)\) is strictly preferred to \(e_1(t_1)\) at time-zero elicitation, then \(e_0(t_0)\) will remain strictly preferred to \(e_1(t_1)\) at time-\(t_0\) elicitation.

Proof

Let \(x=\frac{e_0-\delta ^{t_1-t_0}e_1}{1-\pi }\). For received goods, the time-zero indifference condition, \(U[0,t_1;e_1(t_1)]=U[0,t_0;e_0(t_0)]\), reduces to \(x=1-\delta ^{t_1-t_0}\), implying \(e_0(t_0)\) is strictly preferred if \(x>1-\delta ^{t_1-t_0}\) and \(e_1(t_1)\) is strictly preferred if \(x<1-\delta ^{t_1-t_0}\); the time-\(t_0\) indifference condition, \(U[t_0,t_1;e_1(t_1)]=U[t_0;e_0(t_0)]\), reduces to \(x=-\delta ^{t_1-t_0}\), implying \(e_0(t_0)\) is strictly preferred if \(x>-\delta ^{t_1-t_0}\) and \(e_1(t_1)\) is strictly preferred if \(x<-\delta ^{t_1-t_0}\). For non-cueing goods, the time-zero indifference condition, \(U[0;e_1(t_1)]=U[0;e_0(t_0)]\), reduces to \(x=0\), implying \(e_0(t_0)\) is strictly preferred if \(x>0\) and \(e_1(t_1)\) is strictly preferred if \(x<0\); the time-\(t_0\) indifference condition, \(U[t_0;e_1(t_1)]=U[t_0;e_0(t_0)]\), reduces to \(x=-e_1\), implying \(e_0(t_0)\) is strictly preferred if \(x>-e_1\) and \(e_1(t_1)\) is strictly preferred if \(x<-e_1\). Parts (i) and (ii) then follow directly from the strict preference conditions derived above. \(\square \)

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Landry, P. Sunk ‘Decision Points’: a theory of the endowment effect and present bias. Theory Decis 86, 23–39 (2019). https://doi.org/10.1007/s11238-018-9673-9

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