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Infiltration of machine learning (ML) methods into econometrics has remained relatively slow, compared with their …
Persistent link: https://www.econbiz.de/10013294508
with models may lead to ‘surprise’, experimental results may be unexplainable within existing theory and so ‘confound’ the …
Persistent link: https://www.econbiz.de/10014186657
Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms...
Persistent link: https://www.econbiz.de/10010239512
tools typical of spatial statistics and spatial econometrics, into what LeSage and Pace (2009) deemed as ‘spatial …
Persistent link: https://www.econbiz.de/10012926930
It turns out that price index functions share a basic interpretation; practically all of them measure a change in some average of quality-adjusted prices. The different options are distinguished by their choice of average, their definition of quality, and their stance on what I label ‘equal...
Persistent link: https://www.econbiz.de/10012897524
International large-scale assessments such as PISA are increasingly being used to benchmark the academic performance of young people across the world. Yet many of the technicalities underpinning these datasets are misunderstood by applied researchers, who sometimes fail to take their complex...
Persistent link: https://www.econbiz.de/10011672714
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a …-friendly simulation and information-theory based approaches. Finally, in a constructive perspective, structural causal modeling (SCM) is …
Persistent link: https://www.econbiz.de/10012170696
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a …-friendly simulation and information-theory based approaches. Finally, in a constructive perspective, structural causal modeling (SCM) is …
Persistent link: https://www.econbiz.de/10014101593
It is increasingly common in empirical research to merge data sets containing different units of observation. When the units are not nested, a crosswalk specifying how the units from one data source are allocated to the units of the other is needed. Unfortunately, most crosswalks are ad hoc, a...
Persistent link: https://www.econbiz.de/10014582295
science discipline. On the the whole, there is no doubt surrounding the value of empirical endeavours in econometrics to …
Persistent link: https://www.econbiz.de/10011847792