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Resampling and bootstrap to assess the relevance of variables : a new algorithmic approach with applications to entrepreneurship data
Gimenez-Nadal, José Ignacio; Lafuente, Miguel; Molina, … - 2016
In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the …
Persistent link: https://www.econbiz.de/10011476420
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The Romano-Wolf multiple hypothesis correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012147332
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Bootstrap inference for K-nearest neighbour matching estimators
DeLuna, Xavier; Johansson, Per-Olov; Sjöstedt-de Luna, Sara - 2010
Abadie and Imbens (2008, Econometrica) showed that classical bootstrap schemes fail to provide correct inference for K …-nearest neighbour (KNN) matching estimators of average causal effects. This is an interesting result showing that bootstrap should not … respect to the matching covariate, we obtain a bootstrap scheme valid also with heterogeneous causal effects where mild …
Persistent link: https://www.econbiz.de/10009312907
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When, where and how to perform efficiency estimation
Badunenko, Oleg; Henderson, Daniel J.; Kumbhakar, Subal - 2011
. -- bootstrap ; nonparametric kernel ; technical efficiency …
Persistent link: https://www.econbiz.de/10009422459
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Stuck in the slow lane : traffic composition and the measurement of labor productivity in the US trucking industry
Boyer, Kenneth Duncan (contributor);  … - 2007
"Mirroring the railroad industry of the 1940's and 1950's, the trucking industry today appears to be achieving impressive productivity gains. But it is easy to confuse true productivity advances in transportation industries with changes in ton-miles per unit of input that are due simply to...
Persistent link: https://www.econbiz.de/10003446802
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What are over-the-road truckers paid for? : evidence from an exogenous regulatory change on the role of social comparisons and work organization in wage determination
Burks, Stephen V.; Guy, Frederick - 2012
Using evidence from recent work on truckers and disaggregated older data prior researchers did not have, we revisit a classic topic and find some new answers. We focus on differentials in average annual earnings at the firm level among mileage-paid over-the-road tractor-trailer drivers ("road...
Persistent link: https://www.econbiz.de/10009532078
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Nowcasting business cycles using toll data
Askitas, Nikos; Zimmermann, Klaus F. - 2011
activity performed by heavy transport vehicles across the country and has highly desirable availability properties …
Persistent link: https://www.econbiz.de/10009232581
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Wage inequality of US truck drivers
Monaco, Kristen A.; Habermalz, Steffen - 2011
Using CPS data for the period 1979-2009, the wage dispersion of truck drivers (and subsets of the truck driving sample) is compared to the trends in wage dispersion of males economy-wide. We find that truckers' wages experienced a decrease in inequality post-deregulation, as expected given the...
Persistent link: https://www.econbiz.de/10009125036
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How do workers perceive the risks from automation and the opportunities to retrain? : evidence from a survey of truck drivers
Shoag, Daniel W.; Strain, Michael R.; Veuger, Stan - 2021
How do truck drivers perceive the risk they face from automation and their opportunities to retrain for employment in a different occupation? Autonomous vehicle (AV) technology has made rapid progress in recent years, so these questions are likely salient to truckers. Based on surveys of the new...
Persistent link: https://www.econbiz.de/10012494813
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Worker overconfidence : field evidence and implications for employee turnover and returns from training
Hoffman, Mitchell; Burks, Stephen V. - 2017
Combining weekly productivity data with weekly productivity beliefs for a large sample of truckers over two years, we show that workers tend to systematically and persistently over-predict their productivity. If workers are overconfident about their own productivity at the current firm relative...
Persistent link: https://www.econbiz.de/10011664442