What are survey weights?

Analyzing Survey Data in R

Kelly McConville

Assistant Professor of Statistics

Survey data

  • Have you ever found yourself analyzing a dataset that contained a column of weights and wondered what they were?

Snapshot of the BLS dataset

Analyzing Survey Data in R

Survey weights

  • What are survey weights?
    • They are the result of using a complex sampling design to select a sample from a population.
    • Roughly, the survey weight translates to the number of units in the population that a sampled unit represents.
      • First weight in BLS sample = 25,985 households
      • Second weight in BLS sample = 6,581 households
  • How do survey weights impact my analyses?
Analyzing Survey Data in R

Survey estimation

  • Survey data are commonly used to estimate a finite population quantity.

Pictorial representation of a finite population

Analyzing Survey Data in R

Survey estimation

  • Estimate the average household income in the U.S.: $\mu = \frac{1}{N} \sum_{i \in U} y_i.$

Pictorial representation of a finite population

Analyzing Survey Data in R

Survey estimation

  • Using a complex sampling design, take a sample, called $s$, of $n$ households.

Pictorial representation of a finite population and selected sample

Analyzing Survey Data in R

Survey estimation

  • Sample mean estimator: $\bar{y} = \frac{1}{n} \sum_{i \in s} y_i$.

Pictorial representation of a finite population and selected sample

Analyzing Survey Data in R

Survey estimation

  • Sample mean estimator: $\bar{y} = \frac{1}{n} \sum_{i \in s} y_i$

Pictorial representation of a finite population and selected sample

 

mean(ce$FINCBTAX)
62480
Analyzing Survey Data in R

Survey estimation

  • For sampled units, we have the values and survey weights.

Pictorial representation of a finite population, selected sample, and survey weights

  • How do I incorporate the weights?

  • How do the weights impact my estimates? My graphics? My models?

Analyzing Survey Data in R

Let's practice!

Analyzing Survey Data in R

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