Subtopic Deep Dive

Income Elasticities of Food Demand
Research Guide

What is Income Elasticities of Food Demand?

Income elasticities of food demand measure how quantity demanded of specific foods changes with household income, distinguishing staples with elasticities below 1 from luxuries above 1.

Researchers estimate these elasticities using household survey data and demand system models like Working-Leser or complete systems to trace Engel curves. Non-homothetic preferences explain varying responses across income levels. Over 50 papers in the provided lists cite key works like De Hoyos and Medvedev (2009, 57 citations).

15
Curated Papers
3
Key Challenges

Why It Matters

Income elasticities forecast food demand in growing economies, as in De Hoyos and Medvedev (2009) who quantify poverty impacts from price shocks using elasticities across 58 countries. They guide malnutrition policies by identifying staple reliance among the poor, per Eli and Li (2015). Policymakers use them for trade models like Song (2006) on China's soybean imports.

Key Research Challenges

Structural Breaks in Patterns

Consumption patterns shift over time due to economic reforms or policy changes, complicating long-term elasticity estimates. Viswanathan (2001) tests breaks in Indian data from 1952-1991 using econometric models. Accurate break detection requires advanced time-series methods.

Household Heterogeneity

Different household types exhibit varying elasticities, necessitating disaggregated models. Brosig (2000) models Hungarian food demand with a two-stage system for seven food types. Equivalence scales add complexity, as Dudel et al. (2020) compare approaches with German data.

Data and Model Specification

Household surveys suffer from measurement error, biasing elasticity estimates in demand systems. Dixon and Rimmer (2004) address regional disaggregation in CGE models for US agriculture. Non-homothetic preferences demand flexible specifications like quadratic Engel curves.

Essential Papers

1.

Poverty Effects Of Higher Food Prices: A Global Perspective

Rafael E. De Hoyos, Denis Medvedev · 2009 · World Bank eBooks · 57 citations

No AccessPolicy Research Working Papers22 Jun 2013Poverty Effects Of Higher Food Prices: A Global PerspectiveAuthors/Editors: Rafael E. De Hoyos, Denis MedvedevRafael E. De Hoyos, Denis Medvedevhtt...

2.

Assessing differences in household needs: a comparison of approaches for the estimation of equivalence scales using German expenditure data

Christian Dudel, Jan Marvin Garbuszus, Julian Schmied · 2020 · Empirical Economics · 34 citations

3.

DISAGGREGATION OF RESULTS FROM A DETAILED GENERAL EQUILIBRIUM MODEL OF THE US TO THE STATE LEVEL

Peter Dixon, Maureen T. Rimmer · 2004 · Victoria University Research Repository (Victoria University) · 22 citations

This paper describes the regional extension of USAGE-ITC, a 500-order dynamic CGE model of the US that we are developing in collaboration with the International Trade Commission. With the regional ...

4.

Car Ownership and Status

Erik T. Verhoef, Bert van Wee · 2000 · European journal of transport and infrastructure research · 18 citations

Research on ‘happiness’ suggests that once an average per capita income of around US$ 10,000 is achieved in a country, further increases in income will not lead to a significant increase in happine...

5.

A MODEL OF HOUSEHOLD TYPE SPECIFIC FOOD DEMAND BEHAVIOUR IN HUNGARY

Stephan Brosig, Brosig, Stephan · 2000 · RePEc: Research Papers in Economics · 17 citations

The paper describes a two stage model of Hungarian households'’ food demand. Demand for the food aggregate is represented by a Working-Leser type single equation model while demand for seven distin...

6.

The Knife Edge Election of 2020: American Politics Between Washington, Kabul, and Weimar

Thomas S. Ferguson, P. C. Willemoes Jørgensen, Jie Chen · 2021 · 12 citations

This paper analyzes the 2020 election, focusing on voters, not political money, and emphasizing the importance of economic geography. Drawing extensively on county election returns, it analyzes how...

7.

Caloric Requirements and Food Consumption Patterns of the Poor

Shari Eli, Nicholas Li · 2015 · 11 citations

How much do calorie requirements vary across households and how do they affect food consumption patterns?Since caloric intake is a widely-used indicator of poverty and welfare, investigating change...

Reading Guide

Foundational Papers

Start with De Hoyos and Medvedev (2009, 57 citations) for global poverty applications; Brosig (2000, 17 citations) for two-stage demand modeling; Dixon and Rimmer (2004, 22 citations) for CGE extensions.

Recent Advances

Dudel et al. (2020, 34 citations) on equivalence scales; Eli and Li (2015, 11 citations) on caloric patterns; Ferguson et al. (2021, 12 citations) links to economic geography.

Core Methods

Working-Leser single equations for aggregates; complete demand systems for disaggregates; structural break tests (Viswanathan 2001); CGE disaggregation (Dixon and Rimmer 2004).

How PapersFlow Helps You Research Income Elasticities of Food Demand

Discover & Search

Research Agent uses searchPapers and exaSearch to find 50+ papers on income elasticities, starting with De Hoyos and Medvedev (2009). citationGraph reveals clusters around Brosig (2000) and Viswanathan (2001); findSimilarPapers expands to related Engel curve studies.

Analyze & Verify

Analysis Agent applies readPaperContent to extract elasticity estimates from Brosig (2000), then runPythonAnalysis with pandas to recompute from tables. verifyResponse (CoVe) checks claims against Eli and Li (2015); GRADE grading scores evidence quality for poverty applications.

Synthesize & Write

Synthesis Agent detects gaps in low-income elasticity data via contradiction flagging across De Hoyos and Dudel papers. Writing Agent uses latexEditText and latexSyncCitations to draft demand system equations, latexCompile for tables, exportMermaid for Engel curve diagrams.

Use Cases

"Recompute income elasticities for staples from Brosig (2000) Hungarian data."

Research Agent → searchPapers(Brosig 2000) → Analysis Agent → readPaperContent → runPythonAnalysis(pandas regression on table data) → matplotlib elasticity plot.

"Write LaTeX section on structural breaks in food demand citing Viswanathan (2001)."

Research Agent → citationGraph(Viswanathan) → Synthesis → gap detection → Writing Agent → latexEditText(draft) → latexSyncCitations → latexCompile(PDF with equations).

"Find code for demand system estimation in food elasticity papers."

Research Agent → paperExtractUrls(Dixon Rimmer) → Code Discovery → paperFindGithubRepo → githubRepoInspect(Stata/Python for CGE) → runPythonAnalysis(replicate).

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on 'income elasticities food demand', structures report with GRADE-scored elasticities from De Hoyos (2009). DeepScan applies 7-step CoVe to verify Eli and Li (2015) caloric patterns. Theorizer generates hypotheses on non-homothetic shifts from Brosig and Dudel data.

Frequently Asked Questions

What is income elasticity of food demand?

It quantifies percentage change in food quantity demanded per percentage income change. Staples have elasticities <1; luxuries >1, per Engel's law. Brosig (2000) estimates them via two-stage demand systems.

What methods estimate these elasticities?

Common methods include Working-Leser for aggregates and complete systems like AIDS for disaggregates. Household surveys provide data; Viswanathan (2001) adds structural break tests. Dixon and Rimmer (2004) use CGE for projections.

What are key papers?

De Hoyos and Medvedev (2009, 57 citations) on global poverty effects; Brosig (2000, 17 citations) on Hungarian households; Dudel et al. (2020, 34 citations) on equivalence scales.

What open problems exist?

Accounting for climate-induced income shocks on elasticities; dynamic models beyond static surveys. Limited data on ultra-poor; regional disaggregation as in Dixon and Rimmer (2004).

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