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~language:"eng"
~person:"Reed, W. Robert"
~source:"econis"
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Monte Carlo simulation
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Reed, W. Robert
McAleer, Michael
204
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164
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136
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61
The impact of agricultural technology adoption on income inequality in rural China
Ding, Shijun
;
Meriluoto, Laura
;
Reed, W. Robert
;
Tao, Dayun
-
2010
-
Rev. ed
Persistent link: https://www.econbiz.de/10008688847
Saved in:
62
The PCSE estimator is good : just not as good as you think
Reed, W. Robert
;
Webb, Rachel S.
-
2010
-
Rev.
Persistent link: https://www.econbiz.de/10008695603
Saved in:
63
Do constructed-response and multiple-choice questions measure the same thing?
Hickson, Stephen
;
Reed, W. Robert
-
2009
Persistent link: https://www.econbiz.de/10003871117
Saved in:
64
Searching for profit-shifting in China
Xuefeng, Qian
;
Tian, Bifei
;
Reed, W. Robert
;
Chen, Ziruo
-
2018
-
Revision
Persistent link: https://www.econbiz.de/10011886703
Saved in:
65
On estimating marginal tax rates and tax progressivities for US states
Reed, W. Robert
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003786326
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66
Bootstrap methods for inference in the Parks model
Moundigbaye, Mantobaye
;
Messemer, Clarisse
;
Parks, …
-
2017
-
Rev. edition
Persistent link: https://www.econbiz.de/10011886419
Saved in:
67
Which panel data estimator should I use? : a corrigendum and extension
Moundigbaye, Mantobaye
;
Rea, William S.
;
Reed, W. Robert
-
2017
Persistent link: https://www.econbiz.de/10011886424
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68
A Monte Carlo evaluation of some common panel data estimators when serial correlation and cross-sectional dependence are both present
Reed, W. Robert
(
contributor
);
Ye, Haichun
(
contributor
)
-
2007
Persistent link: https://www.econbiz.de/10003743457
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69
Another look at what to do with time-series cross-section data
Chen, Xiujian
(
contributor
);
Lin, Shu
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003743408
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70
The determinants of US state economic growth : a less extreme bounds analysis
Reed, W. Robert
(
contributor
)
-
2006
Persistent link: https://www.econbiz.de/10003743411
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