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Massachusetts Institute of Technology

Essays on the counterintuitive consequences of labor policies in service industries

Abstract

dc:description.abstract

In essays one and two, I examine how unstable schedules affect financial performance. In essay one, using 52 weeks of data from over 1,000 stores and more than 15,000 employees of a specialty retailer, I estimate the effect of unstable schedules on store productivity. I use an instrumental variable approach and a natural experiment to partially address the possible endogeneity of scheduling decisions. I find evidence that increasing the adequacy and consistency of employees' hours improves employee and store productivity and find partial support for the positive effect of predictability. To study the policy impact of these findings, I build a behavioral agent-based model of scheduling in essay two. My model provides a platform to conduct counterfactual analyses and thus increases the external validity of my findings.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hashemian, MohammadMahdi.
Advisor dc:contributor.advisor
  • Hazhir Rahmandad.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/129091
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/129091

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hashemian, MohammadMahdi.. Essays on the counterintuitive consequences of labor policies in service industries. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129091