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Estimation of panel data partly specified Tobit regression with fixed effects
Ai, Chunrong; Li, Hongjun; Lin, Zhongjian; Meng, Meixia - In: Journal of econometrics 188 (2015) 2, pp. 316-326
Persistent link: https://www.econbiz.de/10011500476
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Panel nonparametric regression with fixed effects
Lee, Jungyoon; Robinson, Peter M. - In: Journal of econometrics 188 (2015) 2, pp. 346-362
Persistent link: https://www.econbiz.de/10011503072
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Relating postal activity to the business cycle by linear regression with integral equations
Clendenin, Katalin K.; Namoro, Soiliou Daw; Pearsall, … - In: New business and regulatory strategies in the postal sector, (pp. 251-268). 2018
Persistent link: https://www.econbiz.de/10012034421
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Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables
Wooldridge, Jeffrey M. - In: Journal of econometrics 182 (2014) 1, pp. 226-234
Persistent link: https://www.econbiz.de/10010497086
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Nonparametric and semiparametric regressions subject to monotonicity constraints : estimation and forecasting
Lee, Tae-hwy; Tu, Yundong; Ullah, Aman - In: Journal of econometrics 182 (2014) 1, pp. 196-210
Persistent link: https://www.econbiz.de/10010497090
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Bootstrapping factor-augmented regression models
Gonçalves, Sílvia; Perron, Benoit - In: Journal of econometrics 182 (2014) 1, pp. 156-173
Persistent link: https://www.econbiz.de/10010497094
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Testing conditional independence via empirical likelihood
Su, Liangjun; White, Halbert - In: Journal of econometrics 182 (2014) 1, pp. 27-44
Persistent link: https://www.econbiz.de/10010497148
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Classifier calibration using splined empirical probabilities in clinical risk prediction
Gaudoin, René; Montana, Giovanni; Jones, Simon; Aylin, Paul - In: Health care management science 18 (2015) 2, pp. 156-165
Persistent link: https://www.econbiz.de/10011287006
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Forecasting residential electric power consumption for Bogotá Colombia using regression models
Peña-Guzmán, Carlos; Rey, Juliana - In: Energy reports 6 (2020) 1, pp. 561-566
This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm...
Persistent link: https://www.econbiz.de/10012177360
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Time-geographically weighted regressions and residential property value assessment
Cohen, Jeffrey P.; Coughlin, Cletus Charles; Zabel, … - In: The journal of real estate finance and economics 60 (2020) 1/2, pp. 134-154
Persistent link: https://www.econbiz.de/10012226646