1 Introduction

Prosecutors in the United States have tremendous discretion in charging decisions and can use this discretion to bargain with defendants (see e.g., Alschuler (1979)). Prosecutors may offer a reduced charge, and a corresponding reduced sentence recommendation, in exchange for a guilty plea. In practice, more than 90% of convictions are the result of guilty pleas (Barkai, 1977; Bibas, 2004). While prosecutorial discretion with respect to plea bargains can move cases through the criminal justice system more quickly and at a lower monetary cost, understanding the effects, including possible unintended consequences, requires an understanding of how prosecutors determine plea offers.Footnote 1

In this paper we adopt a public choice approach to the study of plea bargaining, in which we assume that prosecutors rationally respond to the incentives they face.Footnote 2 An immediate question we must address is: what is the objective function of prosecutors? Standard 3–1.2(b) of the ABA’s Criminal Justice Standards states, “The primary duty of the prosecutor is to seek justice within the bounds of the law, not merely to convict.” In practice, however, prosecutor incentives often center on convictions. Leonetti (2012) states that “conviction rates and sentence lengths are used both as indicators of success and as grounds for retention or promotion... [P]rosecutors with the highest conviction and sentencing statistics are in the best position for career advancement, but those who exercise their discretion to achieve the most just and beneficial outcomes are not.” Barkow (2009) and Silverglate (2011) agree that higher conviction rates are more likely to lead to promotions or high-paying private sector work. Anecdotes circulate of rewards to prosecutors for convictions, such as a Colorado district attorney who offered pay bonuses to prosecutors who tried at least five cases a year and won at least 70 percent of them (Fender, 2011),Footnote 3 or a report of Louisiana prosecutors who gave each other informal awards for murder convictions (Balko, 2013). Similarly, in a letter to the editor three decades after convicting an innocent Louisiana man of capital murder, the responsible former prosecutor admitted that, at the time, he had been more concerned with “obtaining a conviction of a person who I believed to be guilty” than with pursuing known leads that might have yielded exculpatory evidence (Stroud, 2015).

In this paper, we thus assume that prosecutorial incentives focus on convictions.Footnote 4 We study the effect of varying the value a prosecutor places on a conviction obtained via plea bargain relative to a conviction obtained at trial, all else constant. How does prosecutor behavior in plea bargaining depend on this relative value? To address this question, we first present a simple model which focuses on how this relative value affects equilibrium behavior in the context of a single case. In this model, we assume that the prosecutor’s goal is to obtain a conviction, and that she prefers a harsher sentence.Footnote 5 The prosecutor first decides whether they wish to drop charges. If they opt not to do so, they decide whether to plea bargain or not. If the prosecutor decides to bargain, and an agreement is not reached, the prosecutor chooses a charge to take to trial. If an agreement is made, it is implemented. In equilibrium, the case is always resolved via plea bargain. The key insight of our model is that the equilibrium distance between the charge the prosecutor would take to trial (the threat point) and the charge associated with the plea bargain is lower when a prosecutor values a conviction obtained via plea bargain less than a conviction obtained at trial, because the prosecutor demands a more severe charge to compensate for the reduced value of the conviction.

While this prediction is striking, it is important to note that our model does not capture many features of real-world prosecutorial decision making. With this in mind, we also report the results of a laboratory experiment which more closely resembles actual plea bargaining. Our experiment is framed as plea bargaining, and subjects know that their decisions will affect other subjects in the role of defendants. Prosecutor incentives in our experiment focus on conviction rates, rather than the outcome of a single case. Specifically, a prosecutor will receive a high bonus if they have the highest conviction rate in their group, a low bonus if they have the second highest conviction rate, or no bonus. This reflects the fact that prosecutors deal with a large number of cases, and that relative conviction rates are important for promotion. Our treatment variable is whether or not plea bargains are included in the conviction rate. That is, are bonuses determined by the conviction rate at trial, or by the overall conviction rate?

Our experimental design evaluates whether the prediction of our model extends to a more realistic setting. Most importantly, our experiment allows for the possibility that prosecutor preferences are not narrowly focused on convictions. Subjects’ homegrown preferences regarding Type 1 and Type 2 errors, and their notions of justice, are relevant to their decisions.Footnote 6 Does the prediction of our model hold in such an environment? Our design also allows for an interesting possibility that our model does not account for. When prosecutors are incentivized to focus on their conviction rate, they may cherry pick cases. This is particularly true when the relevant conviction rate does not include plea bargains. Thus our experimental design allows us to evaluate the prediction of our model in the face of this possible confound.

Interestingly, despite the richer and more realistic setting, the qualitative prediction of our model holds in our experimental environment. We find that the distance between an offered plea bargain and the trial threat is higher when plea bargains are included in the conviction rate. We also find that when convictions obtained via plea bargain are not included in the conviction rate, prosecutors forego plea bargaining more frequently. In addition, we find no difference in case selection across methods of calculating the conviction rate.

Our results have important implications for the criminal justice system. If prosecutors value convictions obtained via plea bargain as much as conviction at trial, then the trial penalty (the difference between the plea offer and the trial threat) is larger. One concern with such an outcome is that large trial penalties may induce innocent defendants to plead guilty.Footnote 7 Further, lower plea offers may undercut crime deterrence, since the expected penalty of offending may be lowered.

We are not alone though in exploring the decision making of prosecutors. Many such studies explore topics such as expectations of trial outcomes, guesses of jury decisions, and what would be the best plea bargains (see review in Charness & DeAngelo, 2018).Footnote 8 Charness and DeAngelo (2018) discuss that criminal justice experiments often (though not exclusively) suffer from being either hypothetical in nature (no actual consequential trials/penalties/plea bargains are being implemented from decisions) or the experiment is conducted in neutral frames (participants are not “role-playing”.) Our study differs by placing subjects into a framed role as a prosecutor where their decisions will affect other experimental subjects. Our experiment is non-hypothetical in a framed environment, which puts us in an uncommon position among the extant experimental law and economics literature.Footnote 9

2 Motivational model

To explore prosecutorial incentives regarding the value of convictions by plea bargain, we first develop a simple model. Consider a prosecutor who is assigned a case. Since our focus in the model is on how varying prosecutor incentives affects equilibrium outcomes within a given case, we do not differentiate the case by the type of crime or the severity of the offense. The case is accompanied by some evidence of the defendant’s guilt, but the prosecutor does not know for certain whether the defendant is guilty or innocent.

Let the available charges be the interval \((0,\overline{c }]\). The probability of obtaining a conviction at trial with charge \(c\in (0,\overline{c }]\) is given by \(p\left(c\right)\), and this is common knowledge. This probability function summarizes the prosecutor’s beliefs about the strength of the available evidence of guilt.Footnote 10 For simplicity, we assume that \(p\left(\overline{c }\right)=0\), that \(p\left(c\right)\) is continuously differentiable and that \(p^{\prime } \left( c \right) < 0\). Finally, we assume that \(\underset{c\to {0}^{+}}{\mathrm{lim}}p\left(c\right)=1.\)

The prosecutor must first decide whether to drop the charges altogether. If they decide to do so the game ends, and both the defendant and the prosecutor have payoffs of zero. If the prosecutor decides not to drop the charges, they decide whether to plea bargain or not. If they decide not to plea bargain, they choose a charge, \({c}_{s}\in (0, \overline{c }]\), and proceed directly to trial. If the defendant is convicted, then the defendant has a payoff of \(-{c}_{s}\), and the prosecutor has a payoff of \({c}_{s}\). If the defendant is found not guilty, the defendant has a payoff of 0, while the prosecutor has a payoff of \(-{c}_{s}\).

If the prosecutor does decide to offer a plea bargain, the prosecutor and defendant simultaneously announce a charge they are willing to accept as part of a plea bargain. Let \({c}_{p}^{p}\) be the demand of the prosecutor, and \({c}_{p}^{d}\) be the demand of the defendant. If \({c}_{p}^{p}>{c}_{p}^{d}\), the prosecutor chooses a charge that they will take to trial, \({c}_{t}\in \left[0,\overline{c }\right].\) A conviction is obtained with probability \(p\left({c}_{t}\right)\), the game ends, and payoffs are analogous to those outlined above.

If \({c}_{p}^{p}\le {c}_{p}^{d}\), there is no trial, and a sentence of \({c}_{p}^{p}\) is imposed, and the game ends. The defendant has a payoff of \(-{c}_{p}^{p}\), while the prosecutor has a payoff of \(b{c}_{p}^{p}\). The parameter \(b>0\) indicates the value of obtaining a conviction via plea bargain, relative to obtaining it via trial. If \(b=1\), for instance, then obtaining a conviction via plea bargain is weighted just as heavily as a conviction obtained at trial. If, however, \(b<1\), a conviction obtained via plea bargain is not considered to be as valuable to the prosecutor as the same conviction obtained via a trial.

We first consider the prosecutor’s choice of \({c}_{t}\). We assume, for simplicity, that the prosecutor’s expected payoff at trial is single peaked. Denote the prosecutor’s optimal choice as \({c}_{t}^{*}\). That is,

$$c_{t}^{*} \equiv arg\mathop {\max }\limits_{{c_{t} }} p\left( {c_{t} } \right)c_{t} - \left( {1 - p\left( {c_{t} } \right)} \right)c_{t} .$$

Turning attention to the prosecutor’s demand during the plea-bargaining process, note that their demand must satisfy

$$2p\left({c}_{t}^{*}\right){c}_{t}^{*}-{c}_{t}^{*}\le b{c}_{p}^{p},$$

since the demand must yield at least as much expected utility as the outside option obtained at trial. Similarly, for the defendant, their demand must satisfy

$$-{c}_{t}^{*}p\left({c}_{t}^{*}\right)\le -{c}_{p}^{d}.$$

To ensure that a plea bargain that is mutually acceptable for both parties exists, we assume that \(p\left({c}_{t}^{*}\right)\le 1/(2-b)\). This restriction implies that value to the prosecutor of a sentence obtained via plea bargain is not discounted to the point that the prosecutor would prefer to simply go to trial.Footnote 11 The set of plea bargains that are mutually acceptable is

$$\left[\frac{2p\left({c}_{t}^{*}\right){c}_{t}^{*}-{c}_{t}^{*}}{b},{c}_{t}^{*}p\left({c}_{t}^{*}\right)\right].$$

Following Nash (1950), we focus on the equilibrium corresponding to the midpoint of this interval, so that the equilibrium plea bargain is given by

$${c}_{p}^{*}\equiv \frac{1}{2}\left(\frac{2p\left({c}_{t}^{*}\right){c}_{t}^{*}-{c}_{t}^{*}}{b}+{c}_{t}^{*}p\left({c}_{t}^{*}\right)\right).$$

Note that if the prosecutor opts to plea bargain, the case will be resolved via plea bargain, and will not go to trial.

We are primarily interested in determining the effect of comparing the case of \(b=1\) (where the prosecutor is indifferent between obtaining a conviction via plea bargaining or via trial), and the case where \(b<1\) (where the prosecutor, all else equal, prefers to obtain conviction at trial). The results of this comparison are striking. Since \({c}_{p}^{*}\) is decreasing in \(b\), and \({c}_{t}^{*}>{c}_{p}^{*}\), the difference between the equilibrium plea offer and the charge at trial is increasing in \(b\). That is, when a prosecutor values a conviction obtained via plea bargain less than a conviction obtained at trial, all else equal, the prosecutor demands a harsher charge in equilibrium, so that the plea bargain is closer to the charge at trial. This is the key prediction of our model and motivates the experimental we report below.

Now turn attention to the case in which the prosecutor opts not to plea bargain. In this event, the prosecutor would simply choose a charge of \({c}_{t}^{*}.\) Since the equilibrium payoff of plea bargaining is strictly higher than the expected payoff of going to trial with a charge of \({c}_{t}^{*}\), the prosecutor will always plea bargain.Footnote 12 Now turning to the prosecutor’s first decision, note that the prosecutor will never drop charges, provided \(p\left({c}_{t}^{*}\right)\ge 1/(2+b)\), since equilibrium payoffs of plea bargaining are greater than zero in expectation.

3 Experimental design

Our simple model is far from a realistic setting and may trigger concerns about the potential extension of our predictions to real-world situations. In order to mitigate these concerns, we've designed an experiment that lessens the stringency of our model's assumptions. Though not directly validating our theory, this experiment is exploratory in the spirit of Smith (1982). Crucially, the experiment serves as a robustness check for our theoretical predictions.

One key characteristic of our experiment is the framing of the scenario as a plea-bargaining process. It opens up the possibility that prosecutorial motivations may extend beyond a mere focus on conviction rates. Participants’ intrinsic preferences regarding Type 1 and Type 2 errors, as well as their personal sense of justice, play significant roles in their decision-making processes. Our design also acknowledges a fascinating potential outcome that our model overlooks: when prosecutors are encouraged to concentrate on their conviction rates, they might adopt a selective approach to case picking and discard those that seem weak. This likelihood is heightened especially when the measured conviction rate excludes plea bargains. Consequently, our experimental design enables us to gauge the prediction accuracy of our model against this plausible complication.

There are several other ways in which our experimental design is more realistic than our model that are worth highlighting. Our experiment features ambiguity regarding the available evidence, which is more realistic than in our simple model. Similarly, the probability of obtaining a conviction at trial is not known by prosecutors. Rather, they know that subjects in the role of jurors will evaluate a case at trial, and they will determine the outcome. In addition, potential defendants will have the opportunity to steal real money from other subjects. This combination of features promises to provide a more comprehensive, and potentially revealing, exploration of our theoretical predictions.

3.1 Background

The current experiment on prosecutor decision making is part of a larger research program on the criminal justice system, which also includes studies of juror and defendant decision making, the details of which can be found in Aimone et al. (2019) and Ralston et al. (2019) respectively.Footnote 13 We first provide a broad outline of the overarching program and then provide details of the prosecutor experiment that is presented below. In the criminal justice system, crime decisions come first, followed by a bargaining game between prosecutors and defendants within which decisions on charges/plea bargains and trials are made, and finally juror decision making concludes a trial. Wanting to have a salient experimental economic decision environment (one that can bring data to bear upon the theory of the preceding section), we conducted our experimental sessions in the opposite order. We first conducted juror decision-making sessions, as they could credibly and in an incentive compatible way, be conducted without prosecutor or defendant decisions being in place.

3.1.1 Summary of juror experiment sessions

The necessary role of the juror experiment sessions in the three-part experiment, is to generate real saliently incentivized human juror decisions that could be used in defendant trials to form a peer-jury determined verdict of guilty or not-guilty. In these juror experiment sessions (see Aimone et al., 2019), jurors were told that future sessions would be conducted in which real people (potential defendants) would be given an opportunity to take money from other subjects and some people may be accused of a crime and a trial may be held to determine a defendant’s guilt status. In brief, jurors were tasked with determining a verdict for every possible trial that they could have been presented. Jurors were told that for these trials three jurors’ decisions for that trial situation (crime level, evidence of innocence, and evidence of guilt), would be randomly chosen from the pool of juror decisions until a unanimous decision was drawn and that would determine the defendant’s guilt status. Jurors earned a flat rate for participation (we used same rate as real-world first day jury duty pay in our county), and did not earn outcome based pay (like in the real-world as well). We did not need prosecutors or defendants to be present to conduct these studies. We next conducted the prosecutor experiment sessions, which are the focus of the current paper.

3.1.2 Summary of prosecutor experiment sessions

The full details of the prosecutor experiment is found in Sect. 3.2 below. Here, we explain the necessary role of the prosecutor experiment sessions in the three-part experiment. We need from the prosecutor experiment sessions (1) participant decisions whether or not to pursue charges against an accused defendant in a case; (2) participant plea bargain offers for a certain case; and (3) participant choices of what charges would be pursued at trial. Both the prosecutor experiment decisions and juror experiment decisions are needed for defendant sessions which were conducted last.

3.1.3 Summary of defendant experiment sessions

The defendant experiment (see Ralston et al., 2019) gave potential defendants a series of opportunities to steal from another participant in a modified dictator game. In each of these opportunities, the computer randomly allocated $10 between one participant (the potential defendant) and another participant and gave the defendant participant the option to take a portion of the funds allocated to the other participant. Whether the participant stole or not, the computer could generate an accusationFootnote 14 of a crime, along with crime and evidence types. The defendant reported for the range of potential plea bargain and trial situations what they would do in each situation. If there was an accusation of a crime, they would be randomly assigned a prosecutor’s decision (from the already conducted prosecutor study) for their crime and evidence levels associated with the accusation, and the defendant’s own decision in the plea or trial situation chosen by that prosecutor would determine what happened. Ultimately, if the decisions of the prosecutor and defendant indicated a trial occurred, a three-person jury would be randomly chosen from the pool of juror decisions (that were collected in the previously run juror experiment sessions) to determine whether the defendant was found guilty or not guilty at their trial.

3.1.4 Evidence generation

The three types of experiment sessions above all center around the idea of a defendant who may be truly innocent or may be truly guilty of taking money from another participant. All three participant types (jurors, prosecutors, and defendants) are concerned with the evidence of that taking (or “crime”). Since these experiment sessions are linked, they all involve the same evidence generation process that differs based upon whether the defendant is truly innocent or truly guilty (a status known to the defendant participant but unknown to the prosecutor and juror participants).

Figure 1 below shows how likely a given defendant would be to have any evidence of innocence and any evidence of guilt. This information was provided to the experimental participants in their instructions (see Appendix A for the prosecutors’ instructions.) As can be seen in Fig. 1, while there was a 70% chance that a truly guilty defendant would have some evidence of guilt there was only a 30% chance for a truly innocent defendant to have some evidence of guilt (and therefore be accused of a crime by the computer). Participants in the experiment were also told that those who were truly guilty were less likely to receive any evidence of innocence (30% chance) than those who were truly innocent (who had an 80% chance of having some evidence of innocence.) For example, the figure shows us that there is only a 6% chance a truly innocent individual has some evidence of guilt and no evidence of innocence (0.3*0.2), while there is a 49% chance a truly guilty individual has some evidence of guilt and no evidence of innocence (0.7*0.7).

Fig. 1
figure 1

Evidence generation tables seen by participants

Participants were also told that there were three sizes of crime (Small, Medium, and Large) and three levels each of evidence of guilt and innocence (Weak, Medium, and Strong). While the probabilities of having some evidence of innocence or guilt were known for both the truly innocent and the truly guilty, prosecutor participants were not told the values of the individual probabilities of Strong, Medium, and Weak evidence. To induce participants’ beliefs about such probabilities to be in the same general direction and similar to what would be expected in the “real world”, prosecutors were told in regard to evidence of guilt that:

As the names suggest, STRONG evidence is harder to get (and implies there is more evidence of guilt) than MEDIUM evidence. MEDIUM evidence is harder to get (and implies there is more evidence of guilt) than WEAK evidence. For each of these three levels, a prosecutor is always more likely to get a particular level of evidence of guilt if the defendant is truly guilty compared to a truly innocent defendant.

And in regard to evidence of innocence that:

As the names suggest, STRONG evidence is harder to get (and implies there is more evidence of innocence) than MEDIUM evidence. MEDIUM evidence is harder to get (and implies there is more evidence of innocence) than WEAK evidence. For each of these three levels, a defendant is always more likely to get a particular level of evidence of innocence if the defendant is truly innocent compared to a truly guilty defendant.Footnote 15

The experiment was designed to mimic conditions found in the real criminal justice system. The reduced level of detail in Fig. 1 about the evidence generation process reflects the lack of detail available to real-world prosecutors, defendants, and jurors about how evidence arises. In a real trial, no party knows exactly how much more likely it is for a truly innocent person to have strong alibi (e.g., CCTV footage showing them at the time of the crime) compared to a medium alibi (e.g., a friend who says the defendant was with them at the time of the crime).Footnote 16

3.2 Prosecutor’s decisions

After the creation of the court case from the decisions of the defendants in the modified dictator game,Footnote 17 participants in the role of prosecutors were presented with all possible combinations of generated accusations and evidence of guilt. Prosecutors were made aware of the evidence generation process in the same way as participants were in all other experiments. Participants were given two tasks: a belief elicitation and then a prosecutorial decision. Prior to making prosecutorial decisions, prosecutors were shown possible accusations of crime and evidence levels of guilt and asked to provide beliefs about the likelihood a jury would convict a defendant of the accused level of crime based on the evidence of guilt described. Participants were told their answers on these beliefs would not affect their pay in the experiment. We think this task helps ensure participants are cognizant of the connection between differential evidence levels and differential probabilities of conviction at trial, an important connection for prosecutorial plea/trial decisions. We do not discuss these beliefs further in the paper nor do we attempt to control for these beliefs in regressions or analyses. Such controls may be misleading as the beliefs were not incentivized and participants may update these beliefs in different ways as the experiment progresses.

After completing the belief elicitation, prosecutors were again shown every possible combination of accused crime and level of evidence of guilt. For each possible combination, prosecutors chose how to handle the case: drop the case, proceed straight to trial without offering a plea deal, or offer a plea deal.

If prosecutors chose either to continue to trial or to offer a plea deal, they next had to choose what level of crime to charge the defendant with at trial (Small, Medium, or Large), as well as the punishment for this crime (Low or High). This punishment was only implemented if the jury found the defendant guilty at trial. If prosecutors chose to offer a plea deal, they also had to choose a plea offer, consisting of a charged crime and a proposed punishment level, that the defendant could accept in order to avoid the trial. We imposed the condition that severity of the crime in the plea offer (Small, Medium, or Large) must be less than the severity of the crime charged at trial. For example, prosecutors could offer a plea bargain that allowed a defendant to plead guilty to a small crime to avoid going to trial for a medium crime, but they could not offer a plea bargain such that a defendant could plead guilty to a medium crime to avoid going to trial for a small crime.

In choosing between taking the defendant to trial or offering a plea bargain, prosecutors had to decide what charge to level against a defendant. Prosecutors did not necessarily have to charge the same crime as the initial accusation generated by the computer, and they had some leeway in deciding the severity of the charged crime. If prosecutors wished to increase the severity of the charge above the initial accusation, the strength of the evidence of guilt decreased. Conversely, if a prosecutor wished to decrease the severity from the initial accusation, the strength of evidence of guilt increased. This is summarized in Table 1.

Table 1 Result of changing charge on final evidence of guilt level

When making these decisions, prosecutors were also made aware that defendants received evidence of innocence of some level (None, Weak, Medium, or Strong) that was unobservable to prosecutors. Further, prosecutors were told that the defendants’ evidence of innocence would be adjusted if the prosecutor decided to increase or decrease the severity of the charged crime from the initial accusation. Specifically, if a prosecutor increased the severity of the charge, the defendant’s evidence of innocence increased in strength. Conversely, if a prosecutor decreased the severity of the charge, the defendant’s evidence of innocence decreased.

Each prosecutor made decisions for all possible combinations of crime severities and levels of evidence of guilt. Once completed, prosecutor decisions were later paired with real defendant decisions on how to respond to the prosecution’s charges made against them. The details of defendant sessions can be found in Ralston et al. (2019).Footnote 18 Following defendant decisions, the case could be resolved by acceptance of a plea bargain or by dismissal of the case. If the case was not resolved at this stage, the case went to a jury trial that drew on decisions previously made in the project’s jury experiment. There, participants acting as jurors made individual decisions on guilty/not guilty for all possible combinations of charged crime levels and strengths of evidence of guilt and innocence. In a trial during this paper’s phase of the experiment, the individual decisions of three jurors were randomly drawn for the specific combination of charged crime and evidence levels; if all three agreed, the jury had a verdict. If all three did not agree, then a mistrial was declared, and the computer randomly drew another three-person jury. This process continued until all members of a jury agreed on a judgment of either guilty or not guilty. Note that a guilty finding at trial thus depended on the behavior of subjects acting as jurors, and did not feature exogenous and common knowledge probabilities. This is another way in which our experimental design is more realistic than the our simple model. Further details on the jury experiment can be found in Aimone et al. (2019).

Prosecutor participants were paid based on their within-group performance of 100 simulated cases (drawn from real behavior of human defendants in seed sessions.) That is, the participant with the highest conviction rate received the highest payoff, the second highest conviction rate earned the second highest payoff, and all other players only earned show-up and completion fees. In roughly half of sessions, the conviction rate was the number of convictions resulting from a trial divided by the number of cases taken to trial. In the other half of the sessions, in addition to trial results, every plea deal accepted by a defendant counted as a conviction in the numerator of the conviction rate and as a case in the denominator.

3.3 Seed experiments

A natural question while running the prosecutor experiments is how to know whether a defendant would accept a plea bargain, since there were no participants present and playing the role of defendants. For this, we used two seed experiment sessions, which were run before the prosecutor sessions analyzed in this paper. These seed experiments were pen-and-paper versions of the prosecutor and defendant experiments described above. The seed experiments utilized a strategy-elicitation method, so that participant decisions for each possible contingency were recorded and able to be used to determine participant payoffs. The prosecutor decisions in the seed study and the defendant decisions (for both the truly innocent and the truly guilty of taking money from a real victim participant in the seed study) were used to determine each other’s payments (and the payments of the victim of theft). The data collected in these seed experiments were used to identify plea acceptance rates for each possible situation that the prosecutors in the current experiment could face. Thus, this study used real, salient data for both prosecutors and defendants when calculating conviction rates. For jury outcome decisions, calculations used the real, human participant juror judgment decision data collected for each possible trial combination of crime level, prosecution evidence of guilt, and defense evidence of innocence. See Aimone et al. (2019) for a detailed description of the juror experiment process and data.

3.4 Procedures/parameters

Data comes from 10 sessions made up of a total of 60 prosecutors (32 in the INCLUDED treatment and 28 in the EXCLUDED treatments). Participants completed the experiment in the computer program ZTREE (Fischbacher, 2007) which included a series of comprehension questions prior to making decisions to help ensure participants understand the instructions. Sessions lasted for about 90 min.Footnote 19 Potential participant payoffs varied on the basis of whether the participant was a law student or an undergraduate student. Law students were included to compare the behavior of those with some legal training to the behavior of those with no legal training. 11 participants were law students (8 in the EXCLUDED treatment and 3 in the INCLUDED treatment). The number of law students was ultimately smaller than we hoped and thus while we control for being a law student (see regressions in Table 2 below), we do not analyze the data separately or draw conclusions based off of this participant type. All undergraduate participants were paid a $5 show-up payment and $5 for completing the experiment. In addition, there was a $10 bonus for having the highest conviction rate within their group. There was a lower bonus of $7.5 for having the second highest conviction rate within their group. There was no bonus for other prosecutors in a group. All law students were paid a $5 show-up payment and $15 for completing the experiment. In addition, there was a $25 bonus for having highest conviction rate within their group. There was a lower bonus of $15 for having the second highest conviction rate within their group. There was no bonus for other prosecutors in a group.

4 Results

We first report summary statistics, broken down by whether conviction rates included plea bargains, which are contained in Table 2. The first three rows of Table 2 report the frequency with which prosecutors drop the case, go straight to trial, or offer a plea bargain. The second column provides results for the entire sample, the third column (INCLUDED) provides results for the prosecutors whose plea bargains counted toward the conviction rate, and the fourth column (EXCLUDED) provides results for the prosecutors whose plea bargains did not count toward the conviction rate.

Table 2 Summary statistics of prosecutor participants by treatment

Recall that in a given scenario a prosecutor was presented with a crime level, and an evidence of guilt. The first decision a prosecutor made was whether or not to drop the charge altogether. While a prosecutor illustrated in our motivating theory would, in equilibrium, never drop charges, our experiment features a richer and more realistic environment in which conviction rate structure has the potential to affect the initial screening of cases. In our experiment, when conviction rates do not include plea bargains, a prosecutor has little to gain by proceeding with a case they perceive to be weak. If they proceed to trial, they are likely to lose. If they offer a plea bargain, and it is rejected, they are likely to lose at trial (although they could mitigate this risk to some extent by reducing the charge). If a plea bargain is accepted, it does not improve their conviction rate. However, when plea bargains are included in the conviction rate, some cases that would otherwise be dropped are likely to proceed, provided the prosecutor is able to offer terms they expect the defendant to accept.

Interestingly, we find no evidence that the conviction rate structure affects the initial screening of cases. That is, there is no statistically significant difference in the proportion of cases that are dropped when the conviction rate includes plea bargains relative to when it excludes them (\(p=0.6207\)).Footnote 20 We further illustrate this result in Fig. 2, which contains bar graphs of this proportion for each crime level and level of evidence.Footnote 21 While the proportion of dropped cases does not meaningfully differ by conviction rate structure, the crime and evidence level associated with a scenario are important. In particular, cases are typically only dropped when the level of evidence is weak. Further, the most frequently dropped case involves a small crime with weak evidence, as would be expected.

Fig. 2
figure 2

Proportion of dropped cases. Blue bars indicate the EXCLUDED treatment, while red bars indicate the INCLUDED treatment

When prosecutors decide not to drop charges, they have two options: proceed directly to trial or offer a plea bargain. If plea bargains are not included in conviction rates, prosecutors can only ensure that a case will be included in their conviction rate by going to trial, making this option more attractive in cases they perceive to be strong. However, if plea bargains are included in conviction rates, going to trial is less appealing, leading to an expected increase in cases going to trial when plea bargains are not included in conviction rates.

This is confirmed by our findings in the third row of Table 2, where 50.7% of cases go directly to trial when plea bargains are not included in conviction rates. This percentage drops to 32.5% when plea bargains are included in conviction rates, and the difference is statistically significant (\(p=0.0032\)). Figure 3 illustrates how this varies based on the level of crime and evidence, and it should be noted that this result is primarily driven by cases with high levels of evidence.Footnote 22

Fig. 3
figure 3

Proportion of cases taken straight to trial. Blue bars indicate the EXCLUDED treatment, while red bars indicate the INCLUDED treatment

As the proportion of cases that are dropped remains constant regardless of the conviction rate structure, the decrease in the proportion of cases going to trial when plea bargains are included in conviction rates is due to a corresponding increase in the proportion of cases in which a plea bargain is offered. Specifically, the percentage of cases with a plea bargain increases from 32.6 to 49.6%, and this finding is statistically significant (\(p=0.0018\)).Footnote 23 Figure 4 further demonstrates how the proportion of cases with a plea bargain varies based on crime level and evidence level. It is important to note that this result is primarily driven by cases with strong evidence of guilt.

Table 3 Ordinal ranking of crime punishment levels
Fig. 4
figure 4

Proportion of cases where pleas were offered. Blue bars indicate the EXCLUDED treatment, while red bars indicate the INCLUDED treatment

Thus far, we have found that the incentivization of plea bargains does not significantly change decisions to drop cases, and that prosecutors in our experiment largely substitute between going straight to trial and offering pleas. We now turn to comparative static from our theoretical framework that primarily motivated our experiment: that incentivizing plea bargains is predicted to result a larger differential between the plea offer and the charge that will be taken to trial if the plea offer is rejected. We define this differential as the trial penalty.

To evaluate the trial penalty in our study, we take into account that all plea bargains consist of a proposed crime level and punishment that the defendant will receive if they accept the plea deal. Additionally, the prosecutor issues a credible threat of a higher crime level and punishment if the defendant rejects the plea bargain and proceeds to trial. To analyze this in our experimental data, we establish an ordinal ranking of the crime level and punishment combinations. As our experiment features three crime levels (small, medium, and large) and two corresponding punishment levels (low and high), there are six possible pairs of crime and punishment levels. We assign the lowest rank, 1, to the least severe combination (small crime and low punishment), and the highest rank, 6, to the most severe combination (large crime and high punishment). This ranking is summarized in Table 3. The trial penalty is then the difference between the ordinal rank associated with the trial threat, and the ordinal rank associated with the plea offer.

Note that the fourth row of Table 2 demonstrates that, as predicted, the trial penalty increases when plea bargains are incentivized (\(p=0.05\)).Footnote 24 This is despite the relative complexity of our experimental framework. Given this complexity, it is striking that the predicted increase in the trial penalty is present. That is to say, our experimental results demonstrate that the key comparative static of our model is not a knife-edge result that is sensitive to relaxing the admittedly strong assumptions of our model. Rather, in an environment that is much more general, we observe behavior in line with this prediction. This result is broken down by crime level and evidence level in Fig. 5. It is worth noting that the magnitude of the trial penalty is most affected by the inclusion of plea bargains into the conviction rate when it is a large or medium crime accompanied with strong evidence of guilt.

Fig. 5
figure 5

Average plea/threat differential. Blue bars indicate the EXCLUDED treatment, while red bars indicate the INCLUDED treatment

Our experimental results show that when prosecutors are incentivized to offer plea bargains, prosecutors not only make more plea offers, but they also make plea offers with a larger trial penalty. Is the trial penalty increased due to an increase in the trial threat, a decrease in the plea offer, or some combination of the two?

While there is considerable heterogeneity across subjects in our experiment, we find that the increased trial threat is the primary driver of the increased trial penalty: including plea bargains in the conviction rate increases the severity of the trial threat from 3.14 to 3.58, although this result is only marginally significant using a two-tailed Mann–Whitney test (\(p=0.0593\)). Interestingly, including plea bargains in the conviction rate results in slightly harsher plea offers, increasing from 1.91 to 2.15, although this result is not significant (p = 0.2332). Tables 8 and 9 in Appendix B and Figs. 6 and 7 in Appendix C break these results down by crime level and evidence level.

Table 4 Proportion of dropped cases by crime and evidence level
Table 5 Proportion of cases that proceeded directly to trial
Table 6 Proportion of cases that received a plea offer

5 Discussion

Plea bargains are beneficial to the criminal justice system for many reasons. From a voters’ perspective, a criminal trial costs time and money. An early study found that criminal trials in nine state courts consumed an average of 11 h of court time, with actual times varying widely by offense and jurisdiction (Sipes et al., 1988). Criminal trials in federal courts lasted four-and-a-half days in the early 1990s (Cook et al., 1995). In 1998, the Los Angeles Times reported that the average criminal trial lasted two weeks, and that the daily cost of a Los Angeles Superior Court was just under $9500 (“The Cost of Justice, 1998). A 1999 study of nine state courts found that the average duration of a criminal case was 161 days when resolved via a guilty plea, compared to 272 days when resolved with a trial (Ostrom & Hanson, 1999). Plea bargains reduce the costs of deciding cases, and they place fewer demands on citizens who would otherwise be called for jury duty.

Plea bargains introduce costs into the criminal justice system as well.Footnote 25 If prosecutors can pursue more marginal cases (i.e., weaker evidence) due to plea bargaining, there may be a corresponding increase in innocent people embroiled in the criminal justice system. There is a large literature arguing that the plea bargaining process may contribute to the innocence problem, in part because of altered prosecutorial incentives (see. e.g. Bibas, 2004).

This paper aims to improve our understanding of the impacts of prosecutorial incentives on plea bargaining. Adopting a public choice perspective, we focus on how changing the relative value a prosecutor places on a conviction obtained via plea bargain influences outcomes in plea bargains.

We present a simple model that features a prosecutor handling a single case. Our findings suggest that if plea bargains are considered less valuable relative to trial convictions, the gap—referred to as the “trial penalty”—between the plea bargain offer and the trial threat decreases.

We experimentally investigate this prediction in a richer and more realistic environment than our model allows, in order to assess the robustness of our theoretical predictions. Our experiment provides extrinsic incentives to focus on conviction rates, and compares prosecutor decisions when plea bargains are and are not included in the calculation of the conviction rate.

Our findings provide compelling evidence that incorporating plea bargains into the calculation of conviction rates spurs a greater frequency of plea offers. Moreover, consistent with the prediction of our model, it expands the trial penalty. These results potentially shed light on the role of prosecutorial incentives in plea bargaining and suggest that the metrics used to evaluate prosecutorial performance can significantly influence plea bargaining outcomes. Future work may find it beneficial to explore whether conviction rates vary with the incentivization of plea bargains using naturally occurring empirical data.