Dynamics of Voting Propensity: Experimental Tests of Adaptive Learning Models

نویسندگان

  • Susumu Shikano
  • Bernhard Kittel
چکیده

This paper aims to deliver experimental evidence on the dispute between two behavioral models of electoral turnout (Bendor, Diermeier & Ting, APSR 2003; Fowler,JoP 2006). Both models share the idea that the subjects' voting propensities are updated from their past propensities, aspirations and realized payo s. However, they di er in the exact speci cation of the feedback mechanism. The rst model has a strong feedback mechanism toward 50%, while the other has only moderate feedback. This di erence leads to two distinct distributions of voter types: the rst model generates more casual voters who vote and abstain from time to time. The latter generates more habitual voting behavior. Thus far, the latter model seemed to be better supported empirically since survey data reveal more habitual voters and abstainers than casual voters. Given that the two models di er in their propensity updating mechanism in dynamic processes, a more direct test of their assumptions as well as implications with survey data is still pending. We designed a laboratory experiment in which subjects repeatedly make turnout and voting decisions. The results from experimental data is mixed, but more supportive of the second model with habitual voters and abstainers.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

متن کامل

Voting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

متن کامل

Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...

متن کامل

Investigating and Analysing Instructional Design and Workplace Learning Models and Selection of Adaptive Model to Optimize Organizational Training in Petrochemical Industry

The present research aimed to analyze instructional design,workplace learning, and selecting the optimum model of learning for human resources training in petrochemical industry.The previous roles have become faint and new opportunities have appeared in petrochemical industry by starting the process of privatization and changing the nature of the company from holding to a governance and develop...

متن کامل

Developing new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability

Three Neuro-Fuzzy Inference Systems (ANFIS) including Grid Partitioning (GP), Subtractive Clustering (SCM) and Fuzzy C-means clustering Methods (FCM) have been used to predict the groutability of granular soil samples with cement-based grouts. Laboratory data from related available in litterature was used for the tests. Several parameters were taken into account in the proposed models: water:ce...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014