Code Monkey home page Code Monkey logo

Hi, Iโ€™m Orestis Kopsacheilis!

I am an Economist specialising on Behavioural and Experimental Economics. I am currently a postdoctoral researcher at the Economics and Policy Department of the Technical University of Munich, School of Management. I obtained my PhD in 2019 from the University of Nottingham.

What I'm focusing on ๐Ÿ‘จโ€๐Ÿ’ป

I am primarily interested inn questions related to how people make decisions under risk or uncertainty. Specifically, I explore how different modes of information-acquisition can influence risky behaviour as well as the willingness to cooperate in social dilemmas. I pursue these questions through a mixture of empirical methods involving lab, online and field experiments and use of state of the art statistical modelling with techniques including Bayesian Hierarchical models. As a behavioural economist, I am committed to academic research that translates to practical impact and policy recommendations. The topic of medical decision making is of particular interest to me. In a recent field-experiment, I explore different channels for motivating people in high-risk group to vaccinate for the seasonal influenza and observe how their subjective-risk perceptions influence this decision.

Peer-reviewed publications ๐Ÿงพ

  • An inquiry into the nature and causes of the Description - Experience gap, Journal of Risk and Uncertainty (Journal of Risk and Uncertainty, forthcoming; link to working paper
  • Limits of the social-benefit motive among high-risk patients: a field experiment on influenza vaccination behaviour, BMC-Public Health (2020)
  • The role of information search and its influence on risk preferences, Theory and Decision (2018)

Working papers ๐Ÿ”ง ๐Ÿงพ

Find me elsewhere ๐ŸŒŽ

Linkedin Badge Twitter Badge

kopsacheilis.com

Orestis Kopsacheilis's Projects

corona_tscs icon corona_tscs

This is the data repository of the CoronaNet project on government responses to the COVID-19 pandemic and the data/code repository for the paper "A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts".

covid-20 icon covid-20

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.