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VOICES
HUNGRY
Experiences count Global monitoring of Food Insecurity through experience-based indicators
of the
Carlo Cafiero FAO Statistics Division
30 August 2013
Introduction
Background information
Conceptual issues
Practical implementation
Expected outcomes
Discussion
Thursday, 12 September 2013
FAO Statistics Division
Overview of the presentation • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
2 of 32
The establishment of a global system allowing fine-grain monitoring of Food Insecurity can no longer be postponed
Inequalities are increasingly recognized as being at the heart of development problems for the near future, thus country level monitoring, focusing on macro data, no longer suffices to understand evolution and to guide intervention
The evolution of globalization and the increased volatility of financial and commodity markets call for increased timeliness of all monitoring effort. Measurement risks lagging behind history
Thursday, 12 September 2013
FAO Statistics Division
Why Voices of the Hungry? • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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We need to ensure a globally valid standard to allow proper comparison of situations across countries and across social groups
Current practice with traditional household surveys is problematic for cost effective rapid and consistent monitoring worldwide Innovation in direct data collection and
information processing methods provides the basis for significant improvements
Gallup World Poll is one example of a feasible, global survey conducted annually with common methodology
Sophisticated use of the theory of latent trait measurement allows defining a common metrics
Thursday, 12 September 2013
FAO Statistics Division
Why Voices of the Hungry? • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
4 of 32
FAO is in the ideal position to validate, promote and maintain such a system Food Security is being identified as the new
challenge for the next few decades FAO is at the nexus of the international
governance system of food security Committee on World Food Security (CFS) UN Thematic Consultation on Food and Nutrition
Security New Strategic Framework Agricultural Market Information System (AMIS) Global Strategy to Improve Agricultural Statistics
Thursday, 12 September 2013
FAO Statistics Division
Why FAO? • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
5 of 32
We all think we know what food insecurity is, yet operationalizing the definition has been overly challenging, and the results thus far are clearly insufficient Only two official indicators available for global
monitoring: MDG indicators 1.8 (prevalence of children underweight) and 1.9 (prevalence of people below minimum level of dietary energy consumption)
They tend to be broadly misinterpreted (i.e., they have been expected to capture the impact of the food price crisis) and it is difficult to make full sense of trends and correlations (i.e., with poverty trends, or economic growth)
Thursday, 12 September 2013
FAO Statistics Division
What is Food Insecurity? • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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The current WFS “mantra” is of little practical relevance for monitoring Literally hundreds of indicators have been
proposed, tested, used, and all criticized for failing to provide a comprehensive picture
Compilation of aggregate indexes (ex. IFPRI’s GHI or the EIU Global Food Security Index) or of dashboards with multiple indicators is problematic Arbitrariness of weights Difficult interpretation
Very little is being said in terms of what should be meant by the term insecurity Is it a feeling? A risk? How does variability of the past
convey information on the prospect for the future? Thursday, 12 September 2013
FAO Statistics Division
What is Food Insecurity? • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
7 of 32
Dr. Kathy L. Radimer Ph.D. dissertation: Understanding Hunger and Developing Indicators to Assess It, Cornell University, August 1990.
“The lack of an operational definition for hunger has been frequently cited as a barrier to
progress in addressing the problem.”
“Three scales, one each for household, women’s, and children’s hunger, emerged and were found
to be valid and reliable indicators for measuring hunger directly”
(Radimer et al., 1992) It establishes the concept of food insecurity as an
experiential construct Thursday, 12 September 2013
FAO Statistics Division
A new avenue opened in 1990 • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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US HFSSM
Quite a history since • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
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FANTA Household Food Insecurity
Access Scale (HFIAS)
Escala LatinoAmericana
y Caribeña de Seguridad Alimentaria
(ELCSA)
Radimer-Cornell Scale
FAO Food Insecurity Experience Scale
10:21:34 AM
The concept • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10
Food security
Food insecurity
mild moderate severe
Worries Compromising food quality and variety
Hunger Compromising food quantity
Undernutrition (stunting, wasting)
Welfare reduction (Psychological
costs, reduction of other essential
expenses
Malnutrition (obesity,
micronutrient deficiencies,
reduced work capacity)
Starvation Wellbeing
The FIES: a set of questions spanning the range of experiences
The following questions are being asked in the 2013 round of pilots:
“During the last 12 months, was there a time when, because of lack of money or other resources:
1. You were worried you would run out of food? 2. You were unable to eat healthy and nutritious food? 3. You ate only a few kinds of foods? 4. You had to skip a meal? 5. You ate less than you thought you should? 6. Your household ran out of food? 7. You were hungry but did not eat? 8. You went without eating for a whole day?”
How often respondents answer “Yes” (and possibly, to which
questions) will be used to establish their position on a Food Insecurity Experience Scale that differentiates between mild, moderate and severe food insecurity Thursday, 12
September 2013
FAO Statistics Division
The (current version of) FIES • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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Experiences, not opinions The scales are based on actual experiences, that
is facts, not opinions Typical experiences are invariably associated
with food insecurity. The challenge is to identify the crucial ones that
are meaningful in most cases
Self-reported, not subjective Self reporting is not to be necessarily considered
less reliable than other ways of collecting information Ex.: Labor statistics
Thursday, 12 September 2013
FAO Statistics Division
A few misconceptions • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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Assuming that: there exist a latent (unobservable) characteristic or
feature to be measured outcomes can be observed that depend on the latent
trait A model can be defined for the probability
of occurrence of the observable outcome as a function of the unobservable trait
A sound statistical procedure can be established to estimate the value of the latent trait for a subject Econometrics: discrete choice models in willingness
to pay studies (McFadden) Psychometrics: Item Response Theory Food Security measurement (Hamilton et al., Nord)
Thursday, 12 September 2013
FAO Statistics Division
Measuring latent dimensions • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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The probability of correctly responding to a test item is a function of the severity of the item and of the competence of the respondent
A dataset of responses to the same set of test items can thus be used: To validate the test, by measuring the level of
severity of each item To assess each respondent’s ability
Thursday, 12 September 2013
FAO Statistics Division
Item Response Theory • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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The probability of reporting on a certain food insecurity experience is a function of the severity of the experience and of the level of food insecurity of the respondent
A dataset of responses to the same questionnaire by a sample of individuals can be used: To validate the questionnaire, by revealing the
severity associated to each experience, in the specific context
To locate each respondent’s food insecurity level on the scale spanned by the set of experiences
To link food insecurity to other respondent characteristics (an opportunity still largely unexplored) Thursday, 12
September 2013
FAO Statistics Division
Experience-based food security • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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A measure of severity of food insecurity is assumed to exist as a number defined on the real line
Conditions denoting increasing levels of food insecurity severity can be defined (i.e., “items” along the scale)
Individuals are assumed to possess levels of food insecurity on the same scale
The severity of the items, the location of the individual, and the thresholds to classify respondents can be estimated from the data on the responses to the same set of questions by a (numerous) sample of respondents
Thursday, 12 September 2013
FAO Statistics Division
The analytics • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion Respondent h
Thresholds
min max Item 3 Item 2 Item … Item n Item 4 Item 1
10:21:34 AM
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The probability that an individual characterized by food insecurity level h will have experienced item i, over a certain reference period is treated as a function of both item and individual parameters
The simplest possible such model (one parameter logistic model - OPLM), assumes that:
As this probability is 0.5 when h = i, this model implicitly defines the “severity” of an item as the severity of an individual for whom there are equal chances to have or have not experienced that item
This provides the basis for estimating both items’ and respondents’ parameters through a maximum likelihood procedure, as the likelihood of having observed a certain pattern of responses to a set of questions can be treated as a function of the individuals’ and of the items’ parameters Thursday, 12
September 2013
FAO Statistics Division
The analytics • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
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17 of 32
Thursday, 12 September 2013
FAO Statistics Division
The analytics • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
)(
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10:21:34 AM
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18 of 32
Pr(“yes”;h2,i)
Pr(“yes”;h1,i)
Item j
Pr(“yes”;h1,j,)
Using a sound and common survey methodology On nationally representative samples With personal or phone interviews, in local
language After proper cultural and linguistic adaptation
To include a Food Insecurity Experience Scale in a worldwide poll Covering 140+ countries, including all crucial
emerging and developing countries
Use the data collected to inform the compilation of a set of food security indicators at country level
The Voices of the Hungry project • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10:21:34 AM
19 of 32
Linguistic and cultural adaptation Getting the wording right
Inadequate linguistic adaptation and translation of the scale questions may cause their meaning and how they are understood by respondents to differ across cultural and linguistic groups
Proper analytic treatment of data There may be true differences in the way people
experience food insecurity, suggesting that a unique scale may not work universally even if the translation is accurate and the analysis is appropriate
Items may not be equally discriminating on all context Classifying respondents’ food security status using the
raw score may not be the most appropriate analytic approach
Thursday, 12 September 2013
FAO Statistics Division
The Challenges • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
10:21:34 AM
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The project was showcased at the 2012 Olympic Global Hunger Event The indicators recognized as leading
indicators of potentially more serious malnutrition problems Timeliness makes it actionable Giving “voices” to the hungry increases
accountability We have secured the support of a highly
qualified scientific advisory committee Angus Deaton, Lawrence Haddad, Romulo
Paes de Souza, Mark Nord, Hugo Melgar-Quiñonez
Where are we thus far… • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10:21:34 AM
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2012: initial piloting in four countries Germany, DR Congo, India and China Lessons learned led to modifications for the
second round of pilots to be run in 2013.
Decisions have been made to: Shift from households’ to individuals’
experiences Reduce the number of questions to be included
2013: New (complete) pilots are being conducted in Ethiopia, Angola, Niger and Malawi
Where are we thus far… • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10:21:34 AM
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Extended protocol for linguistic adaptation Focus group discussion on how to render the
concepts in the local language
Development of R routines for parameter estimation and scoring
Completion of the tests will allow definition of the appropriate protocol for adaptation, validation and data processing methodology
Thursday, 12 September 2013
FAO Statistics Division
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Where are we thus far… • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
2013 will be devoted to refining adaptation to varying cultural and linguistic contexts Possibly carrying out other pilots in Central Asia,
NENA, South-East Asia
Research (adaptation and validation) will be conducted throughout 2013 and 2014
Capacity development activities are initiated to ensure the scale could be properly and consistently applied in all relevant food security monitoring systems
What’s ahead… • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10:21:34 AM
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The final objectives is to ensure that the new standard for measuring food insecurity is Valid (research) Endorsed at international and country level (advocacy) Used (capacity development)
We shall produce: Validated Food Insecurity Experience Questionnaires in local
languages to be used in all countries in the World to collect the data to
inform the new indicators on the severity of food insecurity Datasets on Experienced Food insecurity on 140 countries,
made publicly available through a dedicated web portal National indicators on the severity of Food Security
made available on an annual basis, through web based Food Security portals and official publications
The percentage of people experiencing severe food insecurity could form the basis for monitoring progress towards a new food security target in the Post 2015 development agenda
What we shall obtain… • Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion
Thursday, 12 September 2013
FAO Statistics Division
10:21:34 AM
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• Introduction
• Background
• Concepts
• Practice
• Outcomes
• Discussion Thanks!
Thursday, 12 September 2013 FAO Statistics Division 26