자료유형  

 학위논문

Control Number  

0017162928

International Standard Book Number  

9798384333630

Dewey Decimal Classification Number  

300

Main Entry-Personal Name  

Lann, Steven.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Pittsburgh., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

146 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: A.

General Note  

Advisor: Ripoll, Marla.

Dissertation Note  

Thesis (Ph.D.)--University of Pittsburgh, 2024.

Summary, Etc.  

요약This dissertation explores two topics: workplace flexibility policies and parental investment into child human capital. The first chapter studies how parents' time and goods investments into their children are affected by household income and family size. The second chapter investigates the mechanisms determining the provision of flexibility policies, as well as the welfare effects of these policies. The third chapter examines how flexibility is measured in the literature, and develops occupation-level proxy measures of flexibility for use by researchers. In Chapter 1, I introduce a model of parental investment in child human capital featuring multiple investment types, static and dynamic investment choices, and multiple children. I find evidence that children of low-income parents experience a larger quality-quantity trade-off compared to the children of high-income parents. The estimated model can replicate this and other patterns of parental investments and child outcomes. Chapter 2 provides the first economic analysis of the allocation and welfare effects of workplace flexibility policies. Using data on workplace flexibility and other non-wage amenities from the ATUS and CPS, I find that among all the amenities studied, flexibility uniquely has a significant relationship with workers' intensive labor supply and timing of labor hours. I also find evidence that employers take this labor supply endogeneity into account when choosing to offer flexibility. Next I develop a model of a labor market in which heterogeneous firms compete for workers via bundles of wages and flexibility policies. Analysis of data simulated from the calibrated model reveals a compensating wage differential of flexibility of about 7 percent. Welfare analysis shows that workplace flexibility policies strongly benefit women by reducing the gender wage gap and female unemployment, and provides a net benefit for male workers and low-productivity firms. In Chapter 3, I use the American Time Use Survey to develop four workplace flexibility policy variables that capture several important dimensions of flexibility. I develop occupation-level measures of these flexibility policies by employing a machine learning approach. These flexibility policy indices are available for 481 Census occupation codes and are shown to be highly predictive of occupation-level access to workplace flexibility policies.

Subject Added Entry-Topical Term  

Child development.

Subject Added Entry-Topical Term  

Parents & parenting.

Subject Added Entry-Topical Term  

Flexibility.

Subject Added Entry-Topical Term  

Families & family life.

Subject Added Entry-Topical Term  

Children & youth.

Subject Added Entry-Topical Term  

Family income.

Subject Added Entry-Topical Term  

Households.

Subject Added Entry-Topical Term  

Developmental psychology.

Subject Added Entry-Topical Term  

Home economics.

Subject Added Entry-Topical Term  

Individual & family studies.

Added Entry-Corporate Name  

University of Pittsburgh.

Host Item Entry  

Dissertations Abstracts International. 86-03A.

Electronic Location and Access  

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Control Number  

joongbu:655440