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Articles 1 - 12 of 12
Full-Text Articles in Entire DC Network
Contingent Payments In Procurement Interactions - Experimental Evidence, Matthew J. Walker, Jason Shachat, Lijia Wei
Contingent Payments In Procurement Interactions - Experimental Evidence, Matthew J. Walker, Jason Shachat, Lijia Wei
ESI Working Papers
A primary objective of creating competition among suppliers is the procurement of higher quality goods and services at lower prices. When procuring non-standard goods, it is often difficult to write a complete specification of desired quality in the contract. Thus, payments to suppliers cannot be perfectly conditioned on the quality provided. We propose a correlated contingent payment contract to mitigate the supplier moral hazard problem while retaining competitive supplier selection based on price. We treat the probability of implementing contingent payments as probabilistic. The selected supplier’s payment is, according to a fixed probability, either the amount of their bid or …
Experimental Evidence On Consumption, Saving, And Family Formation Responses To Student Debt Forgiveness, Jason Jabarri, Stephen Roll, Mathieu Despard, Leah Hamilton
Experimental Evidence On Consumption, Saving, And Family Formation Responses To Student Debt Forgiveness, Jason Jabarri, Stephen Roll, Mathieu Despard, Leah Hamilton
Social Policy Institute Research
As policy-makers grapple with whether or not to forgive student debt, for who, and how much, it is important to explore how student debt forgiveness would relate to intended household decisions and behaviors. We conducted a survey experiment that asked participants with student debt to imagine a scenario in which the federal government forgave a certain amount of student debt. We then had these participants report on how this would affect their decisions and behaviors. 1,053 participants were randomly assigned to one of four conditions that offered $5,000, $10,000, $20,000, and complete debt forgiveness. Our results indicate that student debt …
How Do Reward Versus Penalty Framed Incentives Affect Diagnostic Performance In Auditing?, Bright (Yue) Hong, Timothy W. Shields
How Do Reward Versus Penalty Framed Incentives Affect Diagnostic Performance In Auditing?, Bright (Yue) Hong, Timothy W. Shields
ESI Working Papers
Prior research examines how rewards versus economically equivalent penalties affect effort. However, accountants perform various diagnostic analyses that involve more than exerting effort. For example, auditors often need to identify whether a material misstatement is the underlying cause of a phenomenon among the possible causes. Testing helps identify the cause, but testing is costly. When participants are incentivized to test accurately (rather than test more) and objectively (unbiased between testing and not testing), we find that framing the incentives as rewards versus equivalent penalties increases testing by lowering the subjective testing criterion and by increasing the assessed risk of material …
On The Generalizability Of Using Mobile Devices To Conduct Economic Experiments, Yiting Guo, Jason Shachat, Matthew J. Walker, Lijia Wei
On The Generalizability Of Using Mobile Devices To Conduct Economic Experiments, Yiting Guo, Jason Shachat, Matthew J. Walker, Lijia Wei
ESI Working Papers
Recent technological advances enable the implementation of online, field and hybrid experiments using mobile devices. Mobile devices enable sampling of incentivized decisions in more representative samples, consequently increasing the generalizability of results. Generalizability might be compromised, however, if the device is a relevant behavioural confound. This paper reports on a battery of common economic games and decision-making tasks in which we systematically randomize the decision-making device (computer versus mobile phone) and the laboratory setup (physical versus online). The results offer broad support for conducting decision experiments using mobile devices. For six out of eight tasks, we find robust null results …
Manipulating Common Method Variance Via Experimental Conditions, Alison Wall, Marcia Simmering, Christie Fuller, Brian Waterwall
Manipulating Common Method Variance Via Experimental Conditions, Alison Wall, Marcia Simmering, Christie Fuller, Brian Waterwall
IT and Supply Chain Management Faculty Publications and Presentations
Research data collected from single respondents may raise concerns regarding common method variance (CMV), which is believed to threaten the validity of findings. The primary concern is that CMV can inflate substantive relationships, such that they appear statistically significant when they are not. Thus, understanding the nature of CMV is critical, especially when one considers the popularity—and sometimes necessity—of using self-report data. Research examining CMV has found conflicting evidence about the impact of CMV. Researchers who believe CMV influences findings have proposed solutions to combat any real or perceived potential bias, including changing survey instructions and using marker variables, but …
Invisible Hurdles: Gender And Institutional Differences In The Evaluation Of Economics Papers, Fulya Ersoy, Jennifer Pate
Invisible Hurdles: Gender And Institutional Differences In The Evaluation Of Economics Papers, Fulya Ersoy, Jennifer Pate
Economics Faculty Works
How might the visibility of an author’s name and/or institutional affiliation allow bias to enter the evaluation of economics papers? We ask highly qualified journal editors to review abstracts of solo-authored papers which differ along the dimensions of gender and institution of the author. We exogenously vary whether editors observe the name and/or institution of the author. We identify positive name visibility effects for female economists and positive institution visibility effects for economists at the top institutions. Our results suggest that male economists at top institutions benefit the most from non-blind evaluations, followed by female economists (regardless of their institution).
Cebaf Injector Model For KL Beam Conditions, Sunil Pokharel, Geoffrey A. Krafft, A. S. Hofler, R. Kazimi, M. Bruker, J. Grames, S. Zhang
Cebaf Injector Model For KL Beam Conditions, Sunil Pokharel, Geoffrey A. Krafft, A. S. Hofler, R. Kazimi, M. Bruker, J. Grames, S. Zhang
Physics Faculty Publications
The Jefferson Lab KL experiment will run at the Continuous Electron Beam Accelerator Facility with a much lower bunch repetition rate (7.80 or 15.59 MHz) than nominally used (249.5 or 499 MHz). While the proposed average current of 2.5 - 5.0 µA is relatively low compared to the maximum CEBAF current of approximately 180 µA, the corresponding bunch charge is atypically high for CEBAF injector operation. In this work, we investigated the evolution and transmission of low-rep-rate, high-bunch-charge (0.32 to 0.64 pC) beams through the CEBAF injector. Using the commercial software General Particle Tracer, we have simulated and analyzed the …
Lower Temperature Annealing Of Vapor Diffused Nb3Sn For Accelerator Cavities, Jayendrika K. Tiskumara, Jean R. Delayen, G. V. Eremeev, U. Pudasaini
Lower Temperature Annealing Of Vapor Diffused Nb3Sn For Accelerator Cavities, Jayendrika K. Tiskumara, Jean R. Delayen, G. V. Eremeev, U. Pudasaini
Physics Faculty Publications
Nb3Sn is a next-generation superconducting material for the accelerator cavities with higher critical temperature and superheating field, both twice compared to Nb. It promises superior performance and higher operating temperature than Nb, resulting in significant cost reduction. So far, the Sn vapor diffusion method is the most preferred and successful technique to coat niobium cavities with Nb3Sn. Although several post-coating techniques (chemical, electrochemical, mechanical) have been explored to improve the surface quality of the coated surface, an effective process has yet to be found. Since there are only a few studies on the post-coating heat treatment …
New Results At Jlab Describing Operating Lifetime Of Gaas Photo-Guns, M. Bruker, J. Grames, C. Hernández-García, M. Poelker, S. Zhang, V. Lizárraga-Rubio, C. Valerio-Lizárraga, Joshua T. Yoskowitz
New Results At Jlab Describing Operating Lifetime Of Gaas Photo-Guns, M. Bruker, J. Grames, C. Hernández-García, M. Poelker, S. Zhang, V. Lizárraga-Rubio, C. Valerio-Lizárraga, Joshua T. Yoskowitz
Physics Faculty Publications
Polarized electrons from GaAs photocathodes have been key to some of the highest-impact results of the Jefferson Lab science program over the past 30 years. During this time, various studies have given insight into improving the operational lifetime of these photocathodes in DC high-voltage photo-guns while using lasers with spatial Gaussian profiles of typically 0.5 mm to 1 mm FWHM, cathode voltages of 100 kV to 130 kV, and a wide range of beam currents up to multiple mA. In this contribution, we show recent experimental data from a 100 kV to 180 kV setup and describe our progress at …
Preliminary Results From Magnetic Field Scanning System For A Single-Cell Niobium Cavity, Ishwari Prasad Parajuli, Gianluigi Ciovati, Jean R. Delayen, Alex V. Gurevich
Preliminary Results From Magnetic Field Scanning System For A Single-Cell Niobium Cavity, Ishwari Prasad Parajuli, Gianluigi Ciovati, Jean R. Delayen, Alex V. Gurevich
Physics Faculty Publications
One of the building blocks of modern particle accelerators is superconducting radiofrequency (SRF) cavities. Niobium is the material of choice to build such cavities, which operate at liquid helium temperature (2 - 4 K) and have some of the highest quality factors found in Nature. There are several sources of residual losses, one of them is trapped magnetic flux, which limits the quality factor in SRF cavities. The flux trapping mechanism depends on different niobium surface preparations and cool-down conditions. Suitable diagnostic tools are not yet available to study the effects of such conditions on magnetic flux trapping. A magnetic …
Real-Time Cavity Fault Prediction In Cebaf Using Deep Learning, Md. M. Rahman, K. Iftekharuddin, A. Carptenter, T. Mcguckin, C. Tennant, L. Vidyaratne, Sandra Biedron (Ed.), Evgenya Simakov (Ed.), Stephen Milton (Ed.), Petr M. Anisimov (Ed.), Volker R.W. Schaa (Ed.)
Real-Time Cavity Fault Prediction In Cebaf Using Deep Learning, Md. M. Rahman, K. Iftekharuddin, A. Carptenter, T. Mcguckin, C. Tennant, L. Vidyaratne, Sandra Biedron (Ed.), Evgenya Simakov (Ed.), Stephen Milton (Ed.), Petr M. Anisimov (Ed.), Volker R.W. Schaa (Ed.)
Electrical & Computer Engineering Faculty Publications
Data-driven prediction of future faults is a major research area for many industrial applications. In this work, we present a new procedure of real-time fault prediction for superconducting radio-frequency (SRF) cavities at the Continuous Electron Beam Accelerator Facility (CEBAF) using deep learning. CEBAF has been afflicted by frequent downtime caused by SRF cavity faults. We perform fault prediction using pre-fault RF signals from C100-type cryomodules. Using the pre-fault signal information, the new algorithm predicts the type of cavity fault before the actual onset. The early prediction may enable potential mitigation strategies to prevent the fault. In our work, we apply …
Signals From On High And The Power Of Growth Mindset: A Natural Field Experiment In Attracting Minorities To High-Profile Position, Jeffrey A. Flory, Andreas Leibbrandt, Christina Rott, Olga B. Stoddard
Signals From On High And The Power Of Growth Mindset: A Natural Field Experiment In Attracting Minorities To High-Profile Position, Jeffrey A. Flory, Andreas Leibbrandt, Christina Rott, Olga B. Stoddard
Faculty Publications
We conduct a large-scale natural field experiment with a Fortune 500 company to test several approaches to attract minorities to high-profile positions. 5,000 prospective applicants were randomized into treatments varying a portion of recruiting materials. We find that self-selection at two early-career stages exhibits a substantial race gap. Importantly, we show that this gap can be strongly influenced by several treatments, with some increasing application rates by minorities by 40 percent and others being particularly effective for minority women. The heterogeneities we find by gender, race, and career stage shed light on the underlying drivers of self-selection barriers among minorities.