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| ID | Type | Description | Link |
|---|---|---|---|
| R01AG076655 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Aging (NIA) | NIH |
| Innovations for Poverty Action | OTHER |
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Income instability is a defining aspect of the lives of the poor, who also disproportionately suffer from poor mental and physical health. This research is the first to assess the causal effects of predictable and unpredictable income instability on the psychological and physical health of the poor. It will advance the scientific knowledge on the effects of economic instability as well as understanding of health gaps across populations.
The poor suffer disproportionally from poor mental and physical health. Many causes for these differences have been considered, including low income. But, poor families' incomes are not only low, but also often unstable and unpredictable. This instability creates uncertainty about whether individuals will be able to safeguard their future well-being. According to the allostatic load framework, prolonged activation of physiological stress responses will cause "wear and tear" on the body, heightening risks of cardiovascular disease and of age-related metabolic diseases, promoting cognitive decline and dementia, and accelerating cellular aging.
This research will study the causal effects of income instability on the psychological and physical health of the poor. The study's specific aims are to: 1) Identify the causal effect of income instability on psychological health (e.g. depression, anxiety), and physical health (e.g. blood pressure), 2) Decompose the effects identified in aim 1 into the effects of predictable and unpredictable instability and compare to the impact of increasing the average level of income, and 3) Investigate the channels through which effects on health occur, including both economic and behavioral channels and estimate the impact of key moderating factors (e.g. age, baseline mental health).
The trial will be conducted in northern Ghana. It will manipulate income instability by varying the number of work hours (and hence earnings) of participants in a cash-for-work program. Participants in the first treatment arm will have a fixed work schedule, with the same hours and earning each period. The hours and earnings of a second treatment arm will vary over time, but the fluctuations will be known in advance. Finally, the number of work hours and earnings of a third treatment arm will fluctuate unpredictably. Each of these arms will be compared to a control group that is surveyed, but not offered additional work. Importantly, the study will vary income instability while holding the average level of income constant in order to disentangle the impact of instability from the level-effect.
The study will create 1,867 new jobs that would not otherwise be available during the lean season when jobs are scarce. The intervention has been designed so that the job opportunity cannot make the participants worse off than they would otherwise have been in the absence of research.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | No Intervention | The Control arm will not be hired by the cash-for-work program but will be surveyed. | |
| Stable Income Arm | Experimental | The Stable Income arm will work the same amount and earn the same amount every period. |
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| Predictable Instability Arm | Experimental | The hours and earnings of the Predictable Instability arm will vary over time. In three periods, the participant will work longer hours and will earn more. In the remaining three periods, she will work fewer hours and will earn less. However, on average, the work offered will be the same as in the stable arm. Crucially, she will be able to predict all swings in her study earnings in the future-i.e., she will know her hours and earnings in each future period. |
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| Unpredictable Instability Arm | Experimental | The hours and earnings of the Unpredictable Instability arm will vary unpredictably over time. In any given period, there will be a 50% chance that she works longer hours and earns more and a 50% chance that she works fewer hours and earns less. The expected average earnings remain the same as the stable arm and the predictable arm, though specific individuals may earn more or less. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Work opportunities | Behavioral | Individuals in the treated arms of the study will be offered work opportunities (sewing bags) to earn cash. The timing of these opportunities and knowledge of the amount and timing varies by experimental arm. |
| Measure | Description | Time Frame |
|---|---|---|
| Depression | Patient Health Questionnaire (PHQ)-8, each item is scored 0-3. Multiplying the range per item (0-3) by the number of items (8) gives the total corresponding range of the scale: 0 to 24. Higher scores indicate worse mental health. | The measurement will be taken at endline (after 6 2-week periods of intervention). Respondents will be asked to evaluate each item over the last 10 days. |
| Anxiety | Generalized Anxiety Disorder (GAD)-7 scale, each item is scored 0-3. Multiplying the range per item (0-3) by the number of items (7) gives the total corresponding range of the scale: 0 to 21. Higher scores indicate worse mental health. | The measurement will be taken at endline (after 6 2-week periods of intervention). Respondents will be asked to evaluate each item over the last 10 days. |
| Dietary Diversity | The Household Dietary Diversity Score is used to measure households' food access on the number of food groups they had consumed (out of 11). The measure sums the number of categories with any positive consumption by the household resulting in a total score between 0 and 11. Households that consume a greater number of food groups are considered to have greater dietary diversity (i.e. more is better). | The measurement will be taken at endline (after 6 2-week periods of intervention). Respondents will be asked to evaluate each item over the last ten days. |
| Blood Pressure | Blood Pressure Measurement, recorded in millimeters of mercury (mmHg) with two components: systolic and diastolic. Higher values indicate increased cardiovascular risk | The measurement will be taken at endline (after 6 2-week periods of intervention). |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Heather Schofield, PhD | Contact | 6178630726 | hws44@cornell.edu | |
| Leandro Carvalho, PhD | Contact | lcarvalh@usc.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Innovations for Poverty Action | Recruiting | Tamale | Ghana |
All de-identified IPD collected throughout the study
Within 1 year after publication with no end date
No criteria, any individual who would like to download it from the PI's website or a public repository.
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Mar 17, 2026 | |
| Reset | Apr 2, 2026 |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Apr 1, 2025 | May 15, 2025 | ICF_000.pdf |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Mar 17, 2026 | Apr 2, 2026 |
| ID | Term |
|---|---|
| D003863 | Depression |
| D001008 | Anxiety Disorders |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
| D001523 | Mental Disorders |
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