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  1. Beginner: Using R and Data in Applied Econometrics
  2. Sampling Distributions
  • Learn by Skill Level


  • Getting Started: Introduction to Data, R, and Econometrics
    • Intro to JupyterNotebooks
    • Intro to R
    • Intro to Data (Part 1)
    • Intro to Data (Part 2)

  • Beginner: Using R and Data in Applied Econometrics
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Sampling Distributions
    • Simple Regression

  • Intermediate: Econometrics and Modeling Using R
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
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    • Geographic Computation
    • Chi-Square Test
    • t-test
    • ANOVA
    • Regression
    • Wrangling and Visualizing Data

  • Advanced Modules
    • Classification and Clustering
    • Differences In Differences
    • Geospatial I
    • Geospatial II
    • Instrumental Variables I
    • Instrumental Variables II
    • Large Language Model APIs (Python)
    • Linear Differencing
    • Training LLMS
    • Sentiment Analysis Using LLMs (Python)
    • Transcription (Python)
    • Vocalization (Python)
    • Word Embeddings (Python)
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    • Panel Data
    • Synthetic Controls

1.8 - Beginner - Sampling Distributions

econ 325
sampling distributions
asymptotics
distributions
central limit theorem
law of large numbers
standard error
bootstrapping
beginner
R
What is a sampling distribution? This notebook tackles, using a simulation-based approach, the most complex idea in this course. It is code-heavy, but most of it is in the service of running a simulation, so don’t worry!
Published

12 January 2023

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Distributions
Simple Regression
  • Creative Commons License. See details.
 

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