ScholarWorks@UMassAmherst

Recent Submissions

  • PublicationOpen Access
    Time-Inconsistent Policy with Distributional Conflict and Costly Wage Adjustment
    (2026-01) Razmi, Arslan
    This paper develops a dynamic model of inflation in which discretionary monetary policy interacts with distributional conflict between workers and firms. Unlike the canonical Barro-Gordon framework, inflation is socially costly not only because of volatility but also because it redistributes income when nominal wages adjust sluggishly. Policy makers face time-inconsistent incentives to generate inflation in order to stimulate employment, but also internalize the costs of wage adjustment, while workers attempt to defend their real wage subject to bargaining costs. The interaction between policy incentives, wage-setting frictions, and expectation formation renders the optimal inflation rate time-varying and sensitive to institutional features of the labor market. Inflation may be higher or lower than in the absence of distributional conflict, depending on policy priorities over employment versus real wages, the cyclicality of real wages, and the horizon over which wage contracts are reset. When workers possess perfect foresight, stronger real-wage defense dampens inflation and improves welfare by reducing volatility. When prohibitively high information collection costs result in static expectations, however, the same mechanisms reverse the welfare ranking. The framework nests the standard Barro-Gordon outcome as a special case and connects modern policy debates to classical themes concerning wage bargaining, income distribution, policy credibility, and Kalecki's "threat of the sack." By explicitly incorporating distributional considerations into policy optimization, the paper offers a unified approach to understanding inflation persistence and the political economy of macroeconomic stabilization.
  • PublicationUnknown
    2026 Winter Olympics Digital Choice Board
    (University of Massachusetts Amherst, 2026-01) Maloy, Robert; Trust, Torrey
    This digital choice invites students to build a 3D monument for an influential (but not well known) athlete in winter Olympic history; design a new Winter sport figure for the Olympics, using GenAI to generate possible rules for fair play; research the history of, need for, and impacts of artificial snow on race times, athlete safety, and local environment; and much more.
  • PublicationUnknown
    Women in Medicine Digital Choice Board
    (University of Massachusetts Amherst, 2025-12) Maloy, Robert; Trust, Torrey
    This choice board invites students to write a news story about the first American Indian woman to receive a medical degree; create an Instagram-style video showcasing the Blackwell Sisters’ achievements in the field of medicine; Create a graphic novel or picture book about an African American medical pioneer during the Civil War, and much more.
  • PublicationUnknown
    A Planning Methodology for the Analysis and Design of Wind-Power Systems
    (1974-01) Dambolena, Ismael Gerardo
    A computer model is developed which evaluates the economics of offshore wind-power systems and simulates the behavior of alternate designs. Wind-powered generators either satisfy consumer demand directly or produce hydrogen by the electrolysis of water. The hydrogen can be later transformed back into electricity by fuel cells. Using the characteristics of the system components as input parameters, the model simulates system performance over time using historical or computer generated wind-speed and demand data. Various statistics associated with the energy produced and costs are used to evaluate and compare alternative systems.
  • PublicationUnknown
    Complex Coacervate Emulsions as a Strategy to Stabilize Enzymes for Catalysis in Organic Solvents
    (2025) Penido, Jussara Alves; Phuong Le, Stephanie; Varadarajan, Adhithi; Thayumanavan, S; Perry, Sarah; Loh, Watson
    Complex coacervates have emerged as versatile platforms for protein encapsulation, enabling enzymatic catalysis in aqueous environments. Despite their potential, applications of coacervates are limited by the substrate solubility in water. In this study, we present a protocol to stabilize enzyme-loaded coacervate droplets in water-immiscible organic solvents via the formation of highly stable emulsions. These emulsions were formed using coacervates composed of poly(diallyldimethylammonium hydroxide) and poly(acrylic acid), stabilized by a polystyrene-based, amphiphilic, anionic copolymer in toluene, chlorobenzene, chloroform, and dichloromethane. The resulting microdroplets display exceptional resistance to coalescence, including after centrifugation, and remain stable for weeks. This stability facilitates their separation and redispersion for use in repeated catalytic applications. Using α-chymotrypsin as a model enzyme, we show that the aqueous microenvironment within the droplets maintains enzyme stability over time and enables biocatalysis in nonaqueous media.