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~isPartOf:"Working paper / National Bureau of Economic Research, Inc."
~subject:"ARCH model"
~subject:"Theory"
~subject:"USA"
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Search: subject_exact:"Maximum-Likelihood-Schätzung"
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Working paper / National Bureau of Economic Research, Inc.
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39
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Piecewise-linear approximations and filtering for DSGE models with occasionally binding constraints
Aruoba, S. Borağan
;
Cuba-Borda, Pablo
;
Higa-Flores, Kenji
-
2020
Persistent link: https://www.econbiz.de/10012391705
Saved in:
2
Estimation of dynamic discrete choice models by maximum likelihood and the simulated method of moments
Eisenhauer, Phillipp
;
Heckman, James J.
;
Mosso, Stefano
-
2014
Persistent link: https://www.econbiz.de/10010440137
Saved in:
3
An empirical model of network formation : detecting homophily when agents are heterogenous
Graham, Bryan S.
-
2014
Persistent link: https://www.econbiz.de/10010394516
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4
Estimation of affine term structure models with spanned or unspanned stochastic volatility
Creal, Drew
;
Wu, Jing Cynthia
-
2014
Persistent link: https://www.econbiz.de/10010360896
Saved in:
5
Estimating the risk-return trade-off with overlapping data inference
Hedegaard, Esben
;
Hodrick, Robert J.
-
2014
Persistent link: https://www.econbiz.de/10010346674
Saved in:
6
Spatial errors in count data regressions
Bertanha, Marinho
;
Moser, Petra
-
2014
Persistent link: https://www.econbiz.de/10010410732
Saved in:
7
Maximum likelihood estimation of the equity premium
Avdis, Efstathios
;
Wachter, Jessica
-
2013
Persistent link: https://www.econbiz.de/10010225033
Saved in:
8
Multi-period corporate default prediction with stochastic covariates
Duffie, Darrell
;
Wang, Ke
;
Saita, Leandro
-
2006
Persistent link: https://www.econbiz.de/10003281910
Saved in:
9
Maximum likelihood estimation of stochastic volatility models
Aït-Sahalia, Yacine
;
Kimmel, Robert
-
2004
Persistent link: https://www.econbiz.de/10002125925
Saved in:
10
Multi-period corporate failure prediction with stochastic covariates
Duffie, Darrell
;
Wang, Ke
-
2004
Persistent link: https://www.econbiz.de/10002221321
Saved in:
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