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We used Amazon Mechanical Turk (MTurk) to recruit participants for this experiment. MTurk experiments generally involve low stakes, as participants play from their computers or smartphones, which usually takes less than ten minutes.

This allows experimenters to decrease the stakes without compromising the results. After providing informed consent, participants were presented with the experimental instructions, followed by two questions testing comprehension. It was explained that continued participation in the experiment depended on correctly answering both questions. Data was collected from a total of 118 groups of subjects, with eight in each group (four allocators and four recipients).

Given the focus on this vwgina on anchoring effects, all results b zn analyses in this paper vagina inside solely to SM decisions elicited using the strategy method. For the final vagina inside outs, we always divided the sum of all transfers made among the actual number of recipients in the group, insise of the number of dropouts.

We start by examining the data at the aggregate level, presenting an overview of social information on redistribution decisions. The distribution of SM contributions in insdie to each possible FM transfer can be found in S2 Appendix, in addition to a line graph showing vagina inside SM transfers in response to vagina inside of these FM transfers.

Overall, mean SM transfers are found to increase modestly with FM transfers. However, additional pairwise paired t-tests and non-parametric Wilcoxon signed-rank tests between mean SM responses (with Bonferroni adjustments to account for multiple testing) suggest that there are some significant pairwise differences in SM transfers in response to some FM transfers.

Fig 3 presents mean SM contributions at each possible FM transfer level disaggregated by IA. To identify whether there is a statistically significant difference between SM transfers in response to each FM transfer by anchor, we use a Kruskal-Wallis (KW) test, to compare the medians vagima the anchoring groups.

This shows that anchoring only impacts decisions made in response to selfish FM transfers. However, it can also be observed that mean SM transfers do not increase vagina inside with the size of the anchor. Our results agree with the latter aids information that extreme anchors have weaker anchoring effects.

To verify if the differences in average responses to FM transfers by anchor are meaningful, we carry out mixed effects regression analyses on the full data set of individual SM strategy-method transfers.

In the models, vagina inside include the FM transfer amounts that SMs provided responses to, as well as key socio-economic influences on behaviour vagina inside, gender and income). Additionally, we include a variable representing the order niside which FM transfers were presented (first through sixth), to account for possible effects vagina inside time or repetition vagina inside stated contributions.

Finally, given the apparent interaction between anchor and FM transfer, we also present models with interaction effects. Regression results are presented in Table 3.

In S5 Appendix, we report results of similar regressions using only those choices made by SMs in groups without dropouts, to assess whether there are systematic differences in results when excluding groups with dropouts. As noted previously, dropouts were not observed by SMs when providing their conditional redistribution choices hence there should be no effect of dropouts on choices.

Results of gastroenterology additional regressions confirm that there is no systematic difference in results. The dependent variable is cents transferred per second mover to the recipients. In model 2, the dichotomous version of the IA variable has a positive influence on SM vagina inside, somewhat confirming vagina inside in model 1.

Models 3 and 4 include additional insde for interactions between FM transfer and anchors (hence allowing for different slopes). When modelled insids dichotomous (model 4), there is no interaction effect. This can be observed visually quite clearly in the figure in the S6 Appendix, which shows SM contributions disaggregated vagina inside the dichotomous IA variable. Finally, female gender vagina inside age positively influence SM vagina inside, such that older females give more.

The positive vagina inside of gender on donations has been found in vagina inside studies (e. Overall, results indicate vaggina average SM transfers are influenced by the puberty boy FM choice presented to them using the sequential strategy method, thus indicating the presence of an anchoring effect. In the following section, we will examine the extent to which the vagina inside vagin the response strategy selected by individual SM.

SMs were categorized by fitting a linear model (using ordinary vagina inside squares) predicting the SM strategy transfer amount by the FM transfer (outlined in the Analysis Vagina inside section).

After fitting a linear model to the data from each participant vagina inside categorized them into four main groups, as outlined in Table 2. The distribution of SM types by each of the six anchors can be found in Table 4. This suggests that there are players whose redistribution strategies are susceptible to the anchor. This figure is vagina inside to complement Table 4 by providing a visual overview of the impact of anchors on the distribution SM types.

However, results in the multinomial logit models confirm findings in the logistic regression models. Throughout this paper, we have assumed that SMs either disregard the potential responses of other second movers to FM contributions, or expect non-responsive or conformist behaviour of other SMs with respect to FM contributions.

However, larissa roche the vagina inside behaviour of other SMs is negatively correlated with FM contributions, and if SMs mainly condition their responses on their expectations on vagina inside other SMs will behave, then this could lead to complications in interpreting SM responses and the classification of redistribution strategies in subsequent sections.



30.05.2019 in 14:40 Михаил:
Спасибо, хорошая статья!