CoChat
Sign Up
Cited by 15Statistical Distribution Estimation and ApplicationsStatistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

Alternative Error Term Specifications in the Log-Tobit Model1

Papalia, Rosa Bernardini, Di Iorio, Francesca·2001·Studies in Classification, Data Analysis, and Knowledge Organization
DOI 10.1007/978-3-642-59471-7_23
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-3-642-59471-7_23

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Other studies have proposed a log-transformation of the Tobit model with a multiplicative exponential error term.

    “Other studies, facing similar problems in terms of similar characteristics of skewness and departure from normality, have proposed a log-transformation of the Tobit model with a multiplicative exponential error term (Filippucci, Drudi, and Papalia, 1996;Papalia and Di Iorio, 2001).”

    From Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms (2006) · cites this paper as Papalia and Di Iorio, 2001

Cited by

Sorted by citations

Authors
Papalia, R. B., & Di Iorio, F.
Affiliations
University of Perugia (IT)
ORCID
Papalia, Rosa Bernardini
Venue
Studies in Classification, Data Analysis, and Knowledge Organization
Publisher
Springer Berlin Heidelberg
Published
2001
Pages
185-192
ISSN
1431-8814 (ISSN-L)
DOI
10.1007/978-3-642-59471-7_23
OpenAlex
W212398445
Cited by
15
References
0
Citations by year
2024: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 3 · 2014: 1 · 2013: 1
FWCI
0.00
Type
book chapter
Language
en
Open access
closed
Locations
Studies in classification, data analysis, and knowledge organization (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Keywords
Tobit model, logarithmic transformation, heteroscedasticity, censored data, estimator properties, Monte Carlo simulation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review