Questions tagged [small-area-estimation]

Methods for estimating parameters in sub-populations.

Small area estimation is used to estimate a parameter of interest in a sub-population, based on data from a larger population. For example, a large national survey might contain a small sample from a particular state (or demographic group). The precision of the estimate can be improved in the small group by incorporating information from the larger group.

The US census has information here.

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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 they are not the same). I am specifically…
Jeremy Miles
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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 I'd like to estimate the overlapping area. What…
kms
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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 California Department of Transportation. As stated,…
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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 population $S = S_1 \cup \cdots \cup S_n$. For sake of…
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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-related data as the quarterly data allows for…
Konrad
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Breakdown Regional Data into City-Level data

I have average level household- income data of 26 statistical divisions of Turkey (NUTS 2). I need to break down and estimate this data to city (81 sub division NUTS 3) or town level (LAU) level to assess economic conditions of each local area. I…
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Spatial change-of-support from coarser areas to smaller, nested areas

I'm working with survey data and for $N$ larger domain units (in this case, spatial) I have an estimate of some response variable $y_i$ and covariate vector $x_i$ for $i\in \{1,...,N\}$. In each of these larger units, there are smaller units indexed…
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How can I run Small Area Estimation with Penalized Spline Regression using mgcv R package?

I want to analyze some data using Small Area Estimation with Penalized Spline Regression. I just want to know if I can use mgcv R Package or another package which will ease me to do the analysis ? And if there is a way to use the package to do some…
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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 helps people convert or if it hinders. In total A…
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Population-level data with small n's

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 incidence of 9, occurring in a population of about…
Kelly
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