Data and Code for: The Economic Burden of Dementia in India

Principal Investigator(s): View help for Principal Investigator(s) Marco Angrisani, University of Southern California; Maria Casanova, California State University Fullerton; Jinkook Lee, University of Southern California; Erik Meijer, University of Southern California

Version: View help for Version V1

Name	File Type	Size	Last Modified
code			05/01/2024 08:40:PM
data			05/01/2024 08:40:PM
results			05/01/2024 08:40:PM
README.pdf	application/pdf	124.5 KB	05/01/2024 04:40:PM
runall.do	text/plain	1.3 KB	05/01/2024 04:40:PM

Project Citation:

Angrisani, Marco, Casanova, Maria, Lee, Jinkook, and Meijer, Erik. Data and Code for: The Economic Burden of Dementia in India. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-21. https://doi.org/10.3886/E201865V1

Project Description

Summary: This paper provides the first estimate of the economic cost borne by Indian individuals living with dementia and their families based on nationally- and state-wise representative data from the Longitudinal Aging Study in India (LASI). We found that the annual household cost attributable to dementia was $571. This is a significant figure, equivalent to 20 percent of annual healthcare spending by the Indian government. Our results identify important differences in cost components relative to high-income countries, emphasizing the need for culturally tailored interventions to support people living with the condition and their families in the Indian context.

Funding Sources: United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R01AG051125); United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (U01AG058499)

Scope of Project

Subject Terms: Cost of dementia; Dementia; India; Informal care

JEL Classification:
      I10 Health: General
      I19 Health: Other
      O53 Economywide Country Studies: Asia including Middle East

Geographic Coverage: National

Time Period(s): 2017 – 2019

Universe: The underlying data are from the Longitudinal Aging Study in India (LASI), a nationally representative survey of Indian individuals aged 60 and above who were interviewed between 2017 and 2019. Additional data on average state-level wages of urban male and female workers were obtained from India's Periodic Labor Force Survey.

Data Type(s): survey data

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V1 [2024-05-21]

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