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PhD Candidate


I am a doctoral candidate in economics at the University of Arkansas. I earned my Bachelor’s degree in Finance at University of Arkansas in May 2012 and started the PhD program in Fall 2012. I am an applied microeconomist with an interest in financial decision making. I am familiar with experimental and behavioral techniques, which I use in my research to explore how overconfidence affects financial decision making.

You can find a copy of my CV here : PDF-CV

Teaching Experience

    • Principles of Microeconomics – Full Instructor

Fall 2013 – Spring 2016

Duties:

  • Designed the full course
  • Held Lectures
  • Designed tests, quizzes, and homework
  • Class size of 120 students/semester

Overall Evaluation: 4.00/5.00 (Spring 2016)


    • Experimental Economics – Full Instructor

Fall 2016

Duties:

  • Designed the full course
  • Held Lectures
  • Designed tests, quizzes, and homework
  • Assisted students in a research project
  • Class size of 15 students

 

Education & Training

  • Doctor of Philosophy (Ph.D.) 2012 - 2017

  • Institute: University of Arkansas

    Major: Economics

    Degree: Doctor of Philosophy (Ph.D.)

    Status: Expected May 2017


  • Master of Arts 2012 - 2014

  • Institute: University of Arkansas

    Major: Economics

    Degree: Master of Arts


  • B.S.B.A 2008 - 2012

  • Institute: University of Arkansas

    Major: Financial Management Investments

    Degree: Bachelor of Science in Business Administration

Conference Presentations

November 2016 North-American Economic Science Association Conference

November 2016 Southern Economic Association Conference

 November 2015 Southern Economic Association Conference

 November 2014 Southern Economic Association Conference

 November 2013 North-American Economic Science Association Conference

Adwards

2016 – 2017  Dr.  Yien-I Tu Outstanding Doctoral Student

2012 – 2017  Graduate Assistantship

2011 Betty Clark Scholarship

2009-2010  Ethel Harper Phillips Scholarship

2009 – 2010 Foundation for the International Exchange of Students (FIES) Scholarship

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Programming Skills

Stata (fluent), Z-tree (fluent), LaTex (fluent), R (proficient), HTML (basic), MATLAB (basic)

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