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~isPartOf:"Quality & Quantity: International Journal of Methodology"
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~subject:"multiple imputation"
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Journal of applied econometrics
Quality & Quantity: International Journal of Methodology
Discussion paper series / IZA
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Taking ‘Don’t Knows’ as Valid Responses: A Multiple Complete Random Imputation of Missing Data
Kroh, Martin
- In:
Quality & Quantity: International Journal of Methodology
40
(
2006
)
2
,
pp. 225-244
Persistent link: https://www.econbiz.de/10009391172
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2
Utilising Recent Advancements in Techniques for the Analysis of Incomplete Multivariate Data to Improve the Data Quality Management of Current Academic Research
Fogarty, David
;
Blake, John
- In:
Quality & Quantity: International Journal of Methodology
36
(
2002
)
3
,
pp. 277-289
Persistent link: https://www.econbiz.de/10009396890
Saved in:
3
Methods for the Analysis of Explanatory Linear Regression Models with Missing Data Not at Random
Pastor, José Navarro
- In:
Quality & Quantity: International Journal of Methodology
37
(
2003
)
4
,
pp. 363-376
Persistent link: https://www.econbiz.de/10009391326
Saved in:
4
Reevaluating the evidence on seasonality in housing market match quality : replication of Ngai and Tenreyro (2014)
Scrimgeour, Dean
- In:
Journal of applied econometrics
37
(
2022
)
7
,
pp. 1403-1409
Persistent link: https://www.econbiz.de/10013473988
Saved in:
5
When can we ignore measurement error in the running variable?
Dong, Yingying
;
Kolesár, Michal
- In:
Journal of applied econometrics
38
(
2023
)
5
,
pp. 735-750
Persistent link: https://www.econbiz.de/10014338141
Saved in:
6
Refining stylized facts from factor models of inflation
De Graeve, Ferre
;
Walentin, Karl
- In:
Journal of applied econometrics
30
(
2015
)
7
,
pp. 1192-1209
Persistent link: https://www.econbiz.de/10011431761
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