Demographic Methods for data Evaluation,Transformation, and Adjustment: The

DemoTools R package

Tim Riffe

8-April-2020

Objective

Scripted processing of country input data using a standard set oftools.

I input selection from DemoData API (DDSQLtools)I sequences of demographic methods to fill the Lexis spaceI rule-based automatic (default) selection of methods and

execution orderI full reproducibility

DemoTools

An open collection of classic demographic methods including:

I common demographic operations and utilities

I specific demographic methods toI evaluateI adjustI transform

Evaluation

I Age structure check_heaping_*():I Digit attraction: Myers, Whipple, Bachi, Spoorenberg, Coale Li,

Kannisto, Jdanov, NoumbissiI Regular decadal patterns: Roughness, Sawtooth /\/\/\/\/

I Consistency: census survival ratio errors, age-ratio andsex-ratio scoring, difference and dissimilarity indices

Adjustment

Graduation

I graduate(): Sprague, Beers, Splines, PCLM (ungroup)

Smoothing

I smooth_age5(): Arriaga, Carrier-Farrag, UN,Karup-King-Newton, Strong, and others

Transformation

I binning, scaling, truncation

I time-shifting: interp_*() age-period, age-cohortinterpolation, cohort component interpolation

I lifetables: lt_*() abridged, single, extrapolation(MortalityLaws), rule and model-based (Wilmoth, *Clark,etc)

Estimation

Migration: Rogers Castro fitting

Reference materials

Reference materials

Reference materials

In the works

I more Lexis filling methods (reverse surival, cohort componentinterpolation, consistency adjustments)

I rule-based methods selection (needs more evaluation andchecks)

I faster lifetables

I educational materials and workshops

Major contributors

Monica Alexander Jorge Cimentada Sean Fennell

Jose Manuel Aburto Ilya Kashnitsky Marius Pascariu

Acknowlegements

Bill & Melinda Gates Foundation, UNPD, Patrick Gerland, RafaelaOliveira, Erik Vickstrom

https://github.com/timriffe/DemoTools