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Easy bootstrap-like estimation of asymptotic variances
Honoré, Bo E.; Hu, Luojia - In: Economics letters 171 (2018), pp. 46-50
Persistent link: https://www.econbiz.de/10012021820
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Endogenously censored median regression with an application to benefit elasticity of US unemployment duration
Szydłowski, Arkadiusz - In: Economics letters 159 (2017), pp. 42-45
Persistent link: https://www.econbiz.de/10011902884
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A note on S2 in a spatially correlated error components regression model for panel data
Song, Seuck-heun; Lee, Jaejun - In: Economics letters 101 (2008) 1, pp. 41-43
Persistent link: https://www.econbiz.de/10003787455
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Sample selection models with a common dummy endogeneous regressor in simultaneous equations : a simple two-step estimation
Kim, Kyoo Il - In: Economics letters 91 (2006) 2, pp. 280-286
Persistent link: https://www.econbiz.de/10003327884
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Inference approaches for instrumental variable quantile regression
Chernozhukov, Victor; Hansen, Christian Bailey; … - In: Economics letters 95 (2007) 2, pp. 272-277
Persistent link: https://www.econbiz.de/10003460479
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A note on variable addition tests for linear and log-linear models
Godfrey, L. G.; Silva, João Santos - In: Economics letters 95 (2007) 3, pp. 422-427
Persistent link: https://www.econbiz.de/10003476363
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Estimating deterministically time-varying variances in regression models
Kapetanios, George - In: Economics letters 97 (2007) 2, pp. 97-104
Persistent link: https://www.econbiz.de/10003575265
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Spurious regressions driven by excessive volatility
Kim, Chang Sik; Lee, Sungro - In: Economics letters 113 (2011) 3, pp. 292-297
Persistent link: https://www.econbiz.de/10009503041
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The exact bias of s 2 in linear panel regressions with spatial autocorrelation
Hanck, Christoph; Krämer, Walter - In: Economics letters 110 (2011) 1, pp. 67-70
Persistent link: https://www.econbiz.de/10009241559
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Panel regression with multiplicative measurement errors
Ronning, Gerd; Schneeweiß, Hans - In: Economics letters 110 (2011) 2, pp. 136-139
Persistent link: https://www.econbiz.de/10009241675