Showing 1 - 10 of 671
first characterize the biases in both network statistics and estimates of network effects under non-random sampling … theoretically and numerically. Sampled network data systematically bias the properties of observed networks and suffer from non …-classical measurement-error problems when applied as regressors. Apart from the sampling rate and the elicitation procedure, these biases …
Persistent link: https://www.econbiz.de/10012480921
In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the … problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple … estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias …
Persistent link: https://www.econbiz.de/10012478957
reflects the impact of the industrialization process. This interpretation, however, relies on sources subject to selection bias … correcting for) selection bias. The diagnostic applied to four samples that underlay the industrialization puzzle shows …
Persistent link: https://www.econbiz.de/10012457418
This paper documents that rotation group bias -- the tendency for labor force statistics to vary systematically by … groups; both should be nationally representative samples. The rise in rotation group bias is driven by a growing tendency for … bias. We find that rotation group bias increased discretely after the 1994 CPS redesign and that rising nonresponse is …
Persistent link: https://www.econbiz.de/10012458270
relationships among variables as if samples had been collected via random sampling, simplifying bias correction of endogenously …Unlike random sampling, selective sampling draws units based on the outcome values, such as over-sampling rare events … research, such endogenously selected samples must be carefully analyzed to avoid selection bias. We introduce a unified and …
Persistent link: https://www.econbiz.de/10012533350
We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial … publication bias in peer review. Desk-rejected manuscripts display greater heaping than those sent for review i.e. marginally …
Persistent link: https://www.econbiz.de/10014337782
Research which explores unchartered waters has a high potential for major impact but also carries a higher uncertainty of having impact. Such explorative research is often described as taking a novel approach. This study examines the complex relationship between pursuing a novel approach and...
Persistent link: https://www.econbiz.de/10012456495
individuals can exhibit both primacy bias towards the first option and recency bias towards the last option. We examine this …; however, there is also some recency bias, with the last paper listed receiving more views, downloads and cites. The results …
Persistent link: https://www.econbiz.de/10012457525
Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches for identifying the conditional probability of publication as a function of a study's results, the first based on...
Persistent link: https://www.econbiz.de/10012455383
This paper considers the problem of estimating the distribution of payoffs in a discrete dynamic game, focusing on models where the goal is to learn about the distribution of firms' entry and exit costs. The idea is to begin with non parametric first stage estimates of entry and continuation...
Persistent link: https://www.econbiz.de/10012468187