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Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...
Persistent link: https://www.econbiz.de/10011584635
What are the natural loss functions for binary class probability estimation? This question has a simple answer: so-called "proper scoring rules". These loss functions, known from subjective probability, measure the discrepancy between true probabilities and estimates thereof. They comprise all...
Persistent link: https://www.econbiz.de/10009438719
Despite the widespread use of graphs in empirical research, little is known about readers' ability to process the statistical information they are meant to convey ("visual inference"). We study visual inference within the context of regression discontinuity (RD) designs by measuring how...
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Online peer-to-peer (P2P) lending has empowered individual lenders to make investment decisions anytime and anywhere. However, there is scant research effort on exploring the time of day effect and further time-ITs relationship in the crowdfunding literature. Drawing on ego depletion theory,...
Persistent link: https://www.econbiz.de/10012823603
I investigate influences of unemployment insurance benefits on the cost of bank loans by exploiting changes in state unemployment insurance laws as a source of variation in labor unemployment costs. The evidence shows that the cost of bank loans is significantly lower for firms headquartered in...
Persistent link: https://www.econbiz.de/10012871465
Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...
Persistent link: https://www.econbiz.de/10012979862
Traditionally stationarity refers to shift invariance of the distribution of a stochastic process. In this paper, we rediscover stationarity as a path property instead of a distributional property. More precisely, we characterize a set of paths denoted as A, which corresponds to the notion of...
Persistent link: https://www.econbiz.de/10012987282