1  Small Area Estimations for the poverty mapping: an overview

As discussed with Nobuo, Danielle and Eduard, place for an practitioners overview chapter.

Some overview ideas:

• Make a decision tree of methodology given data availability.

• Make a table to take a stock of methods and Corresponding R funciton/packages that implement it. For example, see Table 1.1

Table 1.1: Methods overview

Methods	sae	emdi	SUMMER
Spatial Fay-Herriot	sae::mseFH()		SUMMER::smoothArea()
FH Miltivariate
Autocorrelation

Place figures under images and use them in the text as follows making sure to refer the sources correctly. For example, Figure 1.1 is adapted from (Corral et al. 2022, 5).

Figure 1.1: SAE decision tree

One can also embed mathematical formulas following the latex syntax: \(y=a + b \log x\) . For more information, see quarto help on authoring.

Corral, Paul, Isabel Molina, Alexandru Cojocaru, and Sandra Segovia. 2022. Guidelines to Small Area Estimation for Poverty Mapping. World Bank Washington.