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~accessRights:"restricted"
~isPartOf:"CESifo working papers"
~isPartOf:"Journal of econometrics"
~isPartOf:"Labour economics : official journal of the European Association of Labour Economists"
~isPartOf:"Management science : journal of the Institute for Operations Research and the Management Sciences"
~isPartOf:"Research papers / Leverhulme Centre for Research on Globalisation and Economic Policy"
~person:"Ghysels, Eric"
~person:"Oka, Tatsushi"
~subject:"Forecasting model"
~subject:"Gravitationsmodell"
~subject:"Returns to education"
~subject:"Schätzung"
~subject:"VAR model"
~subject:"Ökonometrisches Modell"
~type_genre:"Article in journal"
~type_genre:"Collection of articles written by one author"
~type_genre:"Graue Literatur"
~type_genre:"Handbuch"
~type_genre:"Konferenzbeitrag"
~type_genre:"Non-commercial literature"
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1
Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods
Callaway, Brantly
;
Li, Tong
;
Oka, Tatsushi
- In:
Journal of econometrics
206
(
2018
)
2
,
pp. 395-413
Persistent link: https://www.econbiz.de/10012110398
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2
The cross-quantilogram : measuring quantile dependence and testing directional predictability between time series
Han, Heejoon
;
Linton, Oliver
;
Oka, Tatsushi
;
Whang, Yoon-jae
- In:
Journal of econometrics
193
(
2016
)
1
,
pp. 251-270
Persistent link: https://www.econbiz.de/10011704806
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3
Automated earnings forecasts : beat analysts or combine and conquer?
Ball, Ryan T.
;
Ghysels, Eric
- In:
Management science : journal of the Institute for …
64
(
2018
)
10
,
pp. 4936-4952
Persistent link: https://www.econbiz.de/10011932653
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4
Machine learning panel data regressions with heavy-tailed dependent data :
theory
and application
Babii, Andrii
;
Ball, Ryan T.
;
Ghysels, Eric
;
Striaukas, …
- In:
Journal of econometrics
237
(
2023
)
2,3
,
pp. 1-25
Persistent link: https://www.econbiz.de/10014471811
Saved in:
5
Big data in dynamic predictive econometric modeling
Diebold, Francis X.
;
Ghysels, Eric
;
Mykland, Per A.
; …
- In:
Journal of econometrics
212
(
2019
)
1
,
pp. 1-3
Persistent link: https://www.econbiz.de/10012303857
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