 Hi, Laura. I'm going to present a paper co-authored with Cesar Mantilla and Darwin Cortez. Basically, in this paper, we study the worker's preference for autonomy using a procedural experiment. So the motivation of this paper is related to procedural utility concept that basically states that people are not only interested in outcomes, but that they also value procedures. For example, in the labor market, workers also take into account other characteristics and benefits besides income. And this fact might be useful for explaining self-employment decisions. And in this regard, some studies have found that self-employed people report higher job satisfaction or happiness. And in some of these studies, these results seem to be associated with the work conditions, including autonomy and being part of the decision-making. So in this paper, we conduct an experiment that emulates a couple's work environment where two tasks are assigned within team members. So we focus on how people respond to different task assignment mechanisms when they do or don't do what they like the most. And we did an experiment because it allowed us to measure productivity and to measure willingness to pay. And also, it allowed us to measure how these response change depending on the labor status of the participants. So in this experiment, we have three different samples, students, self-employed people and employees. So far from experimental economics, we know that self-employed people are less preserved. And we also know that they are willing to pay more to play or make decisions on their own. So our contribution is to evaluate one possible mechanism that basically is autonomy. And we also add productivity to our analysis. So in our experimental design, we have two encryption tasks, really similar to the one of Ferley. And each team member does one of these tasks. So something that is not in the slide, but it's important, is that the payoff that receive each participant depends only of their own performance. So we have two dimensions of analysis. The first one that is our treatment in some way is the way the task that each member is going to do is decided. So basically, we call that the assignment mechanism. So we have three ways to reach that task. The first one is random. So basically it means that the computer is deciding who it's going to do which task. And these are our controls. And the second one is the people that have autonomy. So we call this assignment mechanism by choice, basically because they can decide the task they want to do, and also they decide the task the other member have to do. And our third mechanism is imposed, and basically these are the participants that don't have to take any decision, and they just have to abide their member's decision. And our second dimension of analysis is the assignment, the result of the assignment. So there are two possible results. The first one is that participants do their favorite task. And the second one is that participants do a non-preferred task. So with this in mind, we measure the impact of these dimensions on two outcomes. And the first outcome is the performance in the second stage. That basically is the number of words that they encrypt in two minutes. And this figure shows the cumulative distribution of this performance. And the most important message of this figure is for those people in the imposed mechanism because as you can see, there is a bigger gap between doing the preferred task and the non-preferred task. And this gap doesn't exist in these two treatments. And this gap basically means that those who did the preferred task are the ones that perform better. So we have another outcome that is the take-up of a random feed that we offer to participants to pay for a scheme change. So in this scheme change, basically they are paying for having autonomy. And we find for this outcome that those who did the preferred task are more willing to pay the fee. We also find that the highest take-up is for those that were in the by-choice mechanism, that are the people who have autonomy. So when we test these results with the regression analysis, we find that there is a clear result for those people in the imposed mechanism. And we find also that those who are more interested in paying for playing alone are those in the by-choice mechanism. So so far we have two main results. The first one is that people randomly assigned to be autonomous are more willing to move to an individual scheme. And we interpret this result as an interest in retaining control and not in an interest in wind control. And the second one is that not having autonomy has an effect in opposite directions. So basically being assigned to a to the preferred task improved performance and being assigned to a non-preferred task decreased performance. So in the previous slides I was I was talking about the results in the pool sample. And now I'm going to show you the results for the worker sample. So here you can see again the cumulative distribution of the performance. But now I split the samples between employees and self-employed people. And the result that we saw for those in the imposed mechanism remains here. But the gap in performance increased for self-employed participants. So this is our third main result in this paper. And again when we test these results with the regression analysis, we find that the result for those imposed that did a non-preferred task is significant. And the size of the estimator is bigger than the one I showed you before. So to conclude, we find that even when your needs depend on individual productivity, people preference about procedures and tasks affect the way they perform and behave. So it is not only about the payoff, it is only about how they achieve this payoff. Thanks.