Questions tagged [small-area-estimation]

Methods for estimating parameters in sub-populations.

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Small Area Estimation techniques when no micro information is available

Small area estimation (SAE) techniques combine information from household surveys with existing auxiliary information at population level to make inferences of certain indicators for population groups ...
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How to provide data for the "PROX" argument in BayesSAE R-package (To Model the Spatial Fay Herriot SAE)

I am trying to apply Fay Herriot (FH) with Spatial structure (CAR=Conditional Auto Regression) using BayesSAE Package in R (here is the link to the package: https://cran.r-project.org/web/packages/...
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Using Large Area Data (County) to Predict Small Area Estimand (Census Tract)

I have a health dataset that has a county-level average of interest and auxiliary patients' characteristics (ACS) at the census tract level. I want to use county-level data to predict the parameter of ...
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What is the correct way to test for the impacts of working with a reduced data set?

I'm interested in learning about the potential impacts of working with a reduced dataset (while keeping a sufficiently high sample size, >30 obs). The data collection process can be expensive and I'...
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How could I use bootstrapping to compare a subpopulation?

We did an A/B test where A is control and B is the same website with one feature variant that is available on all pages on the website. The feature variant is live chat. We wanted to see if live chat ...
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Calculating the area under two overlapping distribution

I have two overlapping frequency distribution, one of the buyers' demand or willingness to pay and the other one is seller's reservation price frequency distribution. The two distributions overlap and ...
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Aggregating small area estimates to match a truth

Small area estimation are related group of techniques in the estimation of parameters associated with a sub-population. For example, suppose I have sub-populations $S_1, \cdots, S_n$ with total ...
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Population-level data with small n's [closed]

I have population data (not sample data) and I'm looking at incidence over time in the population. I have small n's (for the incidence and for the overall population). For example, I have an ...
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Is it advisable to average quarterly benefit claimants rate to an annual claimants rate, and if so how?

I had a discussion with colleague whether would it be sensible to average quarterly unemployment benefit rate to an annual rate? Is it better to refrain from averaging the quarterly unemployment-...
Konrad's user avatar
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Validity of combining surveys and sociodemographics to estimate miles walked in census tracts

I ran across this paper that describes an interesting approach to combining survey and sociodemographic data: Salon. Estimating Total Miles Walked and Biked by Census Tract in California. State of ...
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Why do the estimated values from a Best Linear Unbiased Predictor (BLUP) differ from a Best Linear Unbiased Estimator (BLUE)?

I understand that the difference between them is related to whether the grouping variable in the model is estimated as a fixed or random effect, but it's not clear to me why they are not the same (if ...
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