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The Relationship between Depression Symptoms, Spousal Depression Symptoms, and the Individual-Level Labor Market Choices of Older Adults. |
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Abstract:
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Rationale: Depression is one of the most common illnesses in the United States today. More than 19 million adults living in the US (9.5% of the population) suffer from a depressive disorder. While 80% of those suffering from depression can be treated successfully, few sufferers are treated properly or even diagnosed. Depression is estimated to cost the nation $44 billion a year in productivity losses for those between the ages of 25 – 44. Of the $44 billion, $12 billion can be attributed to lost workdays, with an additional $11 billion attributed to decreased productivity due to the symptoms of depression. These costs do not include any influences from the depression symptoms of a spouse or family member on the productivity of an individual. These external depression symptoms not only impact an individual’s depression symptoms, but may also lead to a disruption the productivity of others in the household.
Objectives: The objective of this study is to determine what impact a spouse’s depression
symptoms have on their partner’s depression symptoms, work hours, and labor market status. These new estimates will be used to determine more accurate measures of the true cost of depression symptoms by including the impact of the spouse.
Methodology: This paper uses data from the Rand version of the Health and Retirement Study (RandHRS). The RandHRS is a streamlined version of the first 5 waves of the HRS. The RandHRS one of the most comprehensive and detailed data sets that collects information on both individuals who were at least 51 years old in 1991 and their spouses. This paper exploits the rich individual and spousal data, including mental health and labor market data, to determine the impact of a spouse’s depression symptoms on their partner’s depression symptoms, work hours and labor market status. A sample selection estimator is used to show that individuals with a higher number of depression symptoms may self-select out of the labor force and/or retire. In addition, the panel nature of the data allows the model to account for the timing of depression symptoms and labor market exit.
Results: This study finds that while the individual’s work hours and labor market status are both negatively associated with that individual’s depression symptoms, a spouse’s depression symptoms are negatively associated with an individual’s labor market status only. Also, this paper shows that without controlling for both spousal depression symptoms and sample selection estimates of the impact of individual depression symptoms on the labor market decisions of an individual will be inaccurate. |
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Association:
Name: Economics of Population Health: Inaugural Conference of the American Society of Health Economists URL: http://healtheconomics.us
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Citation:
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MLA Citation:
| McGeary, Kerry Anne. "The Relationship between Depression Symptoms, Spousal Depression Symptoms, and the Individual-Level Labor Market Choices of Older Adults." Paper presented at the annual meeting of the Economics of Population Health: Inaugural Conference of the American Society of Health Economists, TBA, Madison, WI, USA, Jun 04, 2006 <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p93374_index.html> |
APA Citation:
| McGeary, K. , 2006-06-04 "The Relationship between Depression Symptoms, Spousal Depression Symptoms, and the Individual-Level Labor Market Choices of Older Adults." Paper presented at the annual meeting of the Economics of Population Health: Inaugural Conference of the American Society of Health Economists, TBA, Madison, WI, USA <Not Available>. 2009-05-25 from http://www.allacademic.com/meta/p93374_index.html |
Publication Type: Abstract Abstract: Rationale: Depression is one of the most common illnesses in the United States today. More than 19 million adults living in the US (9.5% of the population) suffer from a depressive disorder. While 80% of those suffering from depression can be treated successfully, few sufferers are treated properly or even diagnosed. Depression is estimated to cost the nation $44 billion a year in productivity losses for those between the ages of 25 – 44. Of the $44 billion, $12 billion can be attributed to lost workdays, with an additional $11 billion attributed to decreased productivity due to the symptoms of depression. These costs do not include any influences from the depression symptoms of a spouse or family member on the productivity of an individual. These external depression symptoms not only impact an individual’s depression symptoms, but may also lead to a disruption the productivity of others in the household.
Objectives: The objective of this study is to determine what impact a spouse’s depression
symptoms have on their partner’s depression symptoms, work hours, and labor market status. These new estimates will be used to determine more accurate measures of the true cost of depression symptoms by including the impact of the spouse.
Methodology: This paper uses data from the Rand version of the Health and Retirement Study (RandHRS). The RandHRS is a streamlined version of the first 5 waves of the HRS. The RandHRS one of the most comprehensive and detailed data sets that collects information on both individuals who were at least 51 years old in 1991 and their spouses. This paper exploits the rich individual and spousal data, including mental health and labor market data, to determine the impact of a spouse’s depression symptoms on their partner’s depression symptoms, work hours and labor market status. A sample selection estimator is used to show that individuals with a higher number of depression symptoms may self-select out of the labor force and/or retire. In addition, the panel nature of the data allows the model to account for the timing of depression symptoms and labor market exit.
Results: This study finds that while the individual’s work hours and labor market status are both negatively associated with that individual’s depression symptoms, a spouse’s depression symptoms are negatively associated with an individual’s labor market status only. Also, this paper shows that without controlling for both spousal depression symptoms and sample selection estimates of the impact of individual depression symptoms on the labor market decisions of an individual will be inaccurate. |
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