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subject:"Japan"
subject:"Share price"
~isPartOf:"Working paper / National Bureau of Economic Research, Inc."
~subject:"Schätzung"
~subject:"Statistical distribution"
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Japan
Share price
Schätzung
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Estimation theory
221
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34
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Bekaert, Geert
3
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2
Frankel, Jeffrey A.
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Heckman, James J.
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Lo, Andrew W.
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1
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1
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1
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1
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1
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1
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1
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1
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1
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279
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153
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Benchmarking global optimizers
Arnoud, Antoine
;
Guvenen, Fatih
;
Kleineberg, Tatjana
-
2019
Persistent link: https://www.econbiz.de/10012128867
Saved in:
2
Identifying price informativeness
Dávila, Eduardo
;
Parlatore, Cecilia
-
2018
Persistent link: https://www.econbiz.de/10011953651
Saved in:
3
Production function estimation with measurement error in inputs
Collard-Wexler, Allan
;
De Loecker, Jan
-
2016
Persistent link: https://www.econbiz.de/10011522258
Saved in:
4
External validity in a stochastic world
Rosenzweig, Mark Richard
;
Udry, Christopher
-
2016
Persistent link: https://www.econbiz.de/10011523956
Saved in:
5
A unified approach to estimating demand and welfare
Redding, Stephen
;
Weinstein, David E.
-
2016
Persistent link: https://www.econbiz.de/10011528557
Saved in:
6
Rethinking performance evaluation
Harvey, Campbell R.
;
Liu, Yan
-
2016
Persistent link: https://www.econbiz.de/10011460434
Saved in:
7
Demand estimation with machine learning and model combination
Bajari, Patrick L.
;
Nekipelov, Denis N.
;
Ryan, Stephen
; …
-
2015
Persistent link: https://www.econbiz.de/10010496176
Saved in:
8
Shrinkage estimation of high-dimensional factor models with structural instabilities
Cheng, Xu
;
Liao, Zhipeng
;
Schorfheide, Frank
-
2014
Persistent link: https://www.econbiz.de/10010238424
Saved in:
9
Endogenous stratification in randomized experiments
Abadie, Alberto
;
Chingos, Matthew M.
;
West, Martin R.
-
2013
Persistent link: https://www.econbiz.de/10010230075
Saved in:
10
Nonlinear policy rules and the identification and estimation of causal effects in a generalized regression kink design
Card, David E.
;
Lee, David S.
;
Pei, Zhuan
;
Weber, Andrea
-
2012
Persistent link: https://www.econbiz.de/10009680872
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