Dynamic Microsimulation Population Projection in Developing Countries

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Presentation transcript:

DYNAMIS-POP http://ihsn.org/projects/dynamis-pop Dynamic Microsimulation Population Projection in Developing Countries Martin Spielauer, Olivier Dupriez IMA June 2017

DYNAMIS – Project Background Funding World Bank Knowledge for Change Program International Household Survey Network Trust Fund from the UK Dep. for International Development executed by the World Bank Development Data Group Team Olivier Dupriez – The World Bank - Lead Martin Spielauer – Consultant – Implementation CMAP Centre Mauritanien d’Analyse de Politiques, ONS National Statistical Office : Local Experts

DYNAMIS – Purpose and Objectives Purpose: Demonstrate feasibility and relevance of dynamic micro-simulation for population projections in developing countries Objectives Highly disaggregated population projections Core component for a more comprehensive modular model for simulating the impact of social development policies and programs Status Modular model; replicable, openly accessible Pilot application for Mauritania

DYNAMIS – Characteristics & Philosophy Portable platform Based on data available for most countries Refinable, extendable & adaptable to specific contexts Start from the ‚known‘ (available macro projections) Model can reproduce macro models: same assumptions, parameter tables -> same outputs More refined models can be added and selected with and without alignment to macro projections Reproducible Step-by-step documentation (stats & programming) Freely available software (language & app)

DYNAMIS – Modgen / GUI

DYNAMIS – Fertility Base Version Age-specific fertility distribution by year Total Fertility Rate (TFR) by year Extended Version First births by age, union status, education, province Higher order births by education, time since last birth Separate trends by birth order Alignment Choices (extended version) Not aligned Aligned to total births of base version Aligned to total births by age of base version

DYNAMIS – Mortality Base Version Standard life table of age-specific rates by sex Life expectancy by calendar year and sex Refined child mortality model (ages 0-4) Age baseline Relative risks by mothers education and age group Age-specific overall trends Alignment options (refined model) Without Initial alignment to base model – trends from base Initial alignment to base model – specific trends

DYNAMIS – Internal Migration Base Probabilities to leave by province, age group and sex Distribution of destinations by origin, age, sex Refined Education added to probability to leave

DYNAMIS – Immigration and Emigration Immigration numbers by year and sex Age distribution by sex Destination distribution by sex and age Emigration Emigration rates by province, age and sex

DYNAMIS – Primary Education Base: Probabilities of school entry and graduation by year & province of birth, sex Refined: adding mothers education

DYNAMIS – Primary Education Based on proportional models (logistic regression) High and persistent inter-provincial differences

DYNAMIS – Primary Education - Scenarios Scenarios on overall trends by sex Scenarios on provincial trends (convergence) Scenarios for study of composition effects by mothers education only

DYNAMIS – First Union Option A: Age-specific rates by age and cohort Option B: Parametric model by Coale & McNeil Parameters: lowest and average age at first union formation and final outcome of ever entering a union Simulation results can be used as base for option A (which can be easily modified e.g. to a scenario banning child marriages)

DYNAMIS – First Union - Analysis

Example: Universal Primary Education in Mauritania

Example: Effects of Education 2 Scenarios: Base: Continuing observed trends Alternative: Phased-in universal primary reached 2030

Example: Births

Example: Early Teenage Births

Example: Age distribution by eduaction

Example: Births by Mothers Education

Example: Education Composition 16-59

Example: Deaths

Outlook Model currently ported to Nepal New modules for education Tracking of school attendance by grade Higher education Functionality for planning More disaggregation: e.g. ethnicity, geography Collaboration with WorldPop - Geo-referencing New module for internal migration Focus: Tool supporting analysis connected to Sustainable Development Goals (SDG) and SDG indicators

Documentation http://ihsn.org/projects/dynamis-pop Detailed Report Software Downloads Step-by-Step Model implementation instructions (“Modgen Textbook”) Statistical analysis (Stata .do) files Anonymised Census sample Starting Population http://ihsn.org/projects/dynamis-pop