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Topics on Econometric Models and Applications with R

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Topics on Econometric Models and Applications with R Richard Lu Department of Risk Management and Insurance, Feng-Chia University Topics Linear Model: OLS regression ... – PowerPoint PPT presentation

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Title: Topics on Econometric Models and Applications with R


1
Topics on Econometric Models and Applications
with R
  • Richard Lu
  • Department of Risk Management and Insurance,
    Feng-Chia University

2
Topics
  • Linear Model OLS regression
  • Tobit Model and Heckman Model
  • Linear Model Quantile regression
  • Linear Panel Data Models OLS regression
  • Linear Panel Data Models Quantile regression
  • Dynamic Panel Data Models

3
Types of Data Cross Sectional
  • Cross-sectional data is a random sample
  • Each observation is a new individual, firm, etc.
    with information at a point in time
  • If the data is not a random sample, we have a
    sample-selection problem

4
Types of Data Pooled Cross Sections and Panel
  • Can pool random cross sections and treat similar
    to a normal cross section. Will just need to
    account for time differences.
  • Can follow the same random individual
    observations over time known as panel data or
    longitudinal data

5
Types of Data Time Series
  • Time series data has a separate observation for
    each time period e.g. stock prices
  • Since not a random sample, different problems to
    consider
  • Trends and seasonality will be important
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