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Befragung
1
Business network
1
Confidence
1
E-commerce
1
Electronic Commerce
1
Feldforschung
1
Field research
1
Internet
1
Internet marketing
1
Interview
1
Nagar approximation
1
OLS bias
1
OPN recommendations
1
Online retailing
1
Online-Handel
1
Online-Marketing
1
Personalisierung
1
Personalization
1
Social Web
1
Social network
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Social web
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Soziales Netzwerk
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Unternehmensnetzwerk
1
Vertrauen
1
Viral marketing
1
Virales Marketing
1
and the estimated bias is small and statistically insignificant
1
bias correction
1
but has a higher MSE. A hypothesis test is given for the presence of this bias. The techniques are applied to survey data on food expenditure
1
but not always. In simulations
1
field study
1
finite sample moments
1
jackknife and pairs bootstrap methods are equal to Op(n-3/2). Sometimes they are effective at lowering bias and MSE
1
online professional networks
1
pairs bootstrap The O(n-1) bias and O(n-2) MSE of OLS are derived for iid samples. An approach is suggested for handling nonexistent finite sample moments. Bias corrections based on plug-in
1
perceived trustworthiness
1
the bootstrap correction removes more bias than the others
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weighting
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Aggarwal, Rohit
1
Magee, Lonnie
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Midha, Vishal
1
Sullivan, Nicholas
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Department of Economics, McMaster University
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Information systems research : ISR
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Quantitative Studies in Economics and Population Research Reports
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ECONIS (ZBW)
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Effect of online professional network recommendations on the likelihood of an interview : a field study
Aggarwal, Rohit
;
Midha, Vishal
;
Sullivan, Nicholas
- In:
Information systems research : ISR
35
(
2024
)
1
,
pp. 104-119
Persistent link: https://www.econbiz.de/10014530441
Saved in:
2
Ordinary Least Squares Bias and Bias Corrections for <em>iid</em> Samples
Magee, Lonnie
-
Department of Economics, McMaster University
-
2007
Persistent link: https://www.econbiz.de/10005181112
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