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This study develops theory and uses a door-to-door fund-raising field experiment to explore the economics of charity. We approached nearly 5000 households, randomly divided into four experimental treatments, to shed light on key issues on the demand side of charitable fund-raising. Empirical results are in line with our theory: in gross terms, the lotteries(More)
1 Recent discoveries in behavioral economics have led scholars to question the underpinnings of neoclassical economics. We use insights gained from one of the most influential lines of behavioral research—gift exchange—in an attempt to maximize worker effort in two quite distinct tasks: data entry for a university library and door-to-door fundraising for a(More)
This study explores the economics of charitable fund-raising. We begin by developing theory that examines the optimal lottery design while explicitly relaxing both risk-neutrality and preference homogeneity assumptions. We test our theory using a battery of experimental treatments and find that our theoretical predictions are largely confirmed.(More)
We are grateful to Jamie Brown-Kruse for working with us in her capacity as the Director of the Hazard Center. We thank the Editor and three anonymous referees for excellent insights that markedly improved the study. and seminar participants at several universities, conferences, and meetings also provided useful insights. The views expressed herein are(More)
This book is the second of two volumes (Schifter 1996) resulting from the work of the Mathematics Process Writing Project (MPWP) in the United States of America. The project was directed over a three-year period (1990–1993) by Deborah Schifter of the Center for the Development of Teaching at the Education Development Center in Newton (Massachusetts) and was(More)
Auction theory has represented one of the richest areas of research in the past three decades. This study extends this line of work by examining theoretically the effect of allowing resale opportunities when private values are uncertain and all bidders are not risk neutral. We put our theory, and previous theory, to the test by combining field and(More)
This paper gives an overview of acoustic modeling and search techniques for low-power embedded ASR decoders. Our design decisions prioritize memory bandwidth, which is the main driver in system power consumption. We evaluate three acoustic modeling approaches–Gaussian mixture model (GMM), sub-space GMM (SGMM) and deep neural network (DNN)–and identify(More)
Distributed, Real-time, Embedded (DRE) systems present numerous challenges with respect to certification of their real-time behavior. Ideally, to address these we would like to build a model of our system that captures relevant information about end to end real-time requirements, resource consumptions requirements and resource availability, and subject the(More)