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    Three Essays in Health Economics

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    Name:
    Zhu_temple_0225E_15397.pdf
    Embargo:
    2025-08-24
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    1.380Mb
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    Genre
    Thesis/Dissertation
    Date
    2023-08
    Author
    Zhu, Huilin
    Advisor
    Leeds, Michael (Michael A.)
    Committee member
    Maclean, Johanna Catherine
    Webber, Douglas (Douglas A.)
    Department
    Economics
    Subject
    Economics
    Public health
    Geography
    Built environment
    Child health
    Convolutional neural network
    Maternity leave
    Mothers' employment
    Obesity prevalence
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/8969
    
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    DOI
    http://dx.doi.org/10.34944/dspace/8933
    Abstract
    This dissertation consists of three essays in health economics. The first chapter, "The Built Environment and Obesity in Philadelphia: The Use of Satellite Imagery and Transfer Learning," investigates the relationship between the built environment and health outcomes, specifically obesity prevalence in Philadelphia. The built environment can affect obesity prevalence through the physical activity environment and the food environment. The main innovation of this paper is to use a pre-trained convolutional neural network (CNN) to extract data representing the features of the built environment from high-resolution satellite imagery. Because of the lack of information on the food environment in satellite images, I combined a proxy variable for food access together with the feature variables to represent the characteristics of the built environment. I then employed the Elastic Net model to test the relationship between the feature variables of the built environment and obesity prevalence in Philadelphia. The results show that the built environment is highly associated with obesity prevalence. This study also provides some evidence that the features of the built environment that have been extracted from satellite imagery can reduce the role of food access in estimating obesity, as well as that adding these features can explain more variance of obesity. The second chapter, "Paid Maternity Leave and Child Health: Evidence from Urban China," uses the China Health and Nutrition Survey data to study whether the extension of paid maternity leave affects children's health outcomes in urban China. This paper uses the time variation of the implementation of a maternity leave policy across different provinces from 1987 to 1991 in China to estimate a two-way fixed-effects model. The results suggest that the expansion of paid maternity leave has no impact on children's health in urban China. The last chapter, titled "The Association between Paid Maternity Leave and Mothers' Health and Labor Outcomes in Urban China," studies whether the extension of paid maternity leave in 1987-1991 would affect the labor and health outcomes of mothers in urban China by using the China Health and Nutrition Survey data. Based on the variation in the implementation time of a paid maternity leave policy across different provinces, this paper employs a two-way fixed-effects model to estimate the policy impact on mothers' health and labor outcomes in China. The findings indicate that extending the duration of paid maternity leave is associated with an increased likelihood of mothers remaining employed after childbirth. However, the study also reveals a negative relationship between the extension of paid maternity leave and mothers' wage rates.
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