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On the impact of error cross-sectional dependence in short dynamic panel estimation
Sarafidis, Vasilis; Robertson, Donald - In: The econometrics journal 12 (2009) 1, pp. 62-81
Persistent link: https://www.econbiz.de/10003841969
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Estimation of panel model with spatial autoregressive error and common factors
Qian, J. B. - In: Computational economics 47 (2016) 3, pp. 366-399
Persistent link: https://www.econbiz.de/10011712378
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Persistence, signal-noise pattern and heterogeneity in panel data : with an application to the impact of foreign direct investment on GDP
Biørn, Erik; Han, Xuehui - 2015 - This version January 2015
GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is … country panel data supplements the simulation results. …
Persistent link: https://www.econbiz.de/10010479979
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Quantifying noise in survey expectations
Juodis, Artūras; Kucinskas, Simas - In: Quantitative economics : QE ; journal of the … 14 (2023) 2, pp. 609-650
Expectations affect economic decisions, and inaccurate expectations are costly. Expectations can be wrong due to either bias (systematic mistakes) or noise (unsystematic mistakes). We develop a framework for quantifying the level of noise in survey expectations. The method is based on the...
Persistent link: https://www.econbiz.de/10014308585
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A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables
Keane, Michael P.; Sauer, Robert M. - 2009
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …
Persistent link: https://www.econbiz.de/10003824296
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A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables
Sauer, Robert M.; Keane, Michael P. - 2007
Persistent link: https://www.econbiz.de/10003553298
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A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables
Keane, Michael P.; Sauer, Robert M. - In: International economic review 51 (2010) 4, pp. 925-958
Persistent link: https://www.econbiz.de/10008934252
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A Computationally Practical Simulation Estimation Algorithm for Dynamic Panel Data Models with Unobserved Endogenous State Variables
Keane, Michael P. - 2009
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …
Persistent link: https://www.econbiz.de/10012764470
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Many IVs estimation of dynamic panel regression models with measurement error
Lee, Nayoung; Moon, Hyungsik Roger; Zhou, Qiankun - In: Journal of econometrics 200 (2017) 2, pp. 251-259
Persistent link: https://www.econbiz.de/10011917232
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Assessing cohort aggregation to minimise bias in pseudo-panels
Khan, Rumman - 2018
Pseudo-panels allow estimation of panel models when only repeated cross-sections are available. This involves grouping … individuals into cohorts and using the cohort means as if they are observations in a genuine panel. Their practical use is … mimic panel estimates. We create two metrics for assessing the grouping process, one for each potential source of bias. If …
Persistent link: https://www.econbiz.de/10011781802