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Spokoiny, Vladimir [Author]; Samarov, Alexander [Author]; Vial, Celine [Author]

Component Identification and Estimation in Nonlinear High-Dimensional Regression Models by Structural Adaptation

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2005
Xia, Yingcun [Author]; Härdle, Wolfgang [Author]

Semi-parametric estimation of generalized partially linear single-index models

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http://hdl.handle.net/10419/65301

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Berlin: Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, 2002
Gutierrez, Roberto G. [Author]; Carroll, Raymond J. [Author]

Plug-in semiparametric estimating equations

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http://hdl.handle.net/10419/66244

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Berlin: Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, 1995
Chang, Yoosoon [Author]; Choi, Yongok [Author]; Kim, Chang Sik [Author]; Miller, J. Isaac [Author]; Park, Joon Y. [Author]

Common trends and country specific heterogeneities in long-run world energy consumption

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https://drive.google.com/file/d/1dAgmwmPmH7AnuKsU8uEYGKdDdduoaX6L/view

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Columbia, MO: Department of Economics, University of Missouri, January 8, 2024

Published in: University of Missouri: Working paper series ; 2024,1
Chang, Yoosoon [Author]; Choi, Yongok [Author]; Kim, Chang Sik [Author]; Miller, J. Isaac [Author]; Park, Joon Y. [Author]

Common trends and country specific heterogeneities in long-run world energy consumption

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https://caepr.indiana.edu/RePEc/inu/caeprp/caepr2024-001.pdf

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[Bloomington, IN]: CAEPR, Center for Applied Economics and Policy Research, January 11th , 2024

Published in: Indiana University Bloomington: CAEPR working papers ; 2024,1
Chang, Yoosoon [Author]; Choi, Yongok [Author]; Kim, Chang Sik [Author]; Miller, J. Isaak [Author]; Park, Joon Y. [Author]

Common trends and country specific heterogeneities in long-run world energy consumption - [Version Date: January 11, 2024]

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https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fcama.crawford.anu.edu.au%2Fsites%2Fdefault%2Ffiles%2Fpublication%2Fcama_crawford_anu_edu_au%2F2024-01%2F04_2024_chang_choi_kim_miller_park.pdf;h=repec:een:camaaa:2024-04

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Canberra: Australian National University, Crawford School of Public Policy, 2024

Published in: Australian National University: CAMA working paper series ; 20240004
Ahrens, Achim [Author]; Hansen, Christian Bailey [Author]; Schaffer, Mark E. [Author]; Wiemann, Thomas [Author]

Model averaging and double machine learning

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https://docs.iza.org/dp16714.pdf

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Bonn, Germany: IZA - Institute of Labor Economics, January 2024

Published in: Forschungsinstitut zur Zukunft der Arbeit: Discussion paper series ; 16714
Atak, Alev [Author]; Montes-Rojas, Gabriel [Author]; Olmo, Jose [Author]

Functional coefficient quantile regression model with time-varying loadings

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https://www.tandfonline.com/doi/pdf/10.1080/15140326.2023.2167151

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2023

Published in: Journal of applied economics ; 26(2023), 1, Artikel-ID 2167151, Seite 1-38
Liang, Hua [Author]

Asymptotic normality of parametric part in partially linear models with measurement error in the nonparametric part

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http://hdl.handle.net/10419/66307

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Berlin: Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, 1997
Lee, Sokbae [Author]

Endogeneity quantile regression models: A control function approach

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http://hdl.handle.net/10419/79309

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London: Centre for Microdata Methods and Practice (cemmap), 2004
Binkowski, Karol [Author]; He, Peilun [Author]; Kordzakhia, Nino [Author]; Shevchenko, Pavel V. [Author]

On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Model

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https://ssrn.com/abstract=3898286

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[S.l.]: SSRN, [2021]

Published in: Binkowski K., He P., Kordzakhia N., Shevchenko P. (2019) On the Parameter Estimation in the Schwartz-Smith’s Two-Factor Model. In: Nguyen H. (eds) Statistics and Data Science. RSSDS 2019. Communications in Computer and Information Science ; vol 1150. Springer, Singapore
Forchini, Giovanni [Author]; Theler, Raoul [Author]

Semi-parametric modelling of inefficiencies in stochastic frontier analysis

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https://link.springer.com/content/pdf/10.1007/s11123-022-00656-x.pdf

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2023

Published in: Journal of productivity analysis ; 59(2023), 2 vom: Apr., Seite 135-152
Liao, Jen-Che [Author]; Song, Xiaojun [Author]; Wang, Hung-Jen [Author]

Testing the Impacts on Inefficiency in a Semiparametric Stochastic Frontier Model

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https://ssrn.com/abstract=4402564

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[S.l.]: SSRN, [2023]
D'Haultfoeuille, Xavier [Author]; Gaillac, Christophe [Author]; Maurel, Arnaud [Author]

Partially Linear Models under Data Combination

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http://hdl.handle.net/10419/263446

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Bonn: Institute of Labor Economics (IZA), 2022
Cattaneo, Matias D. [Author]; Jansson, Michael [Author]; Newey, Whitney K. [Author]

Alternative asymptotics and the partially linear model with many regressors

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http://hdl.handle.net/10419/130056

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London: Centre for Microdata Methods and Practice (cemmap), 2015
Dong, Chaohua [Author]; Gao, Jiti [Author]; Peng, Bin [Author]

Partially linear panel data models with cross-sectional dependence and nonstationarity

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http://business.monash.edu/econometrics-and-business-statistics/research/publications/ebs/wp07-15.pdf

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Victoria: Monash University, Department of Econometrics and Business Statistics, March 2015

Published in: Monash University: Working paper ; 2015,0700
Gaul, Jürgen [Author]; Theissen, Erik [Author]

A partially linear approach to modelling the dynamics of spot and futures prices

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http://hdl.handle.net/10419/74675

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Cologne: University of Cologne, Centre for Financial Research (CFR), 2012
Samarov, Alexander [Author]; Spokoiny, Vladimir [Author]; Vial, Celine [Author]

Component identification and estimation in nonlinear high-dimensional regression models by structural adaption

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2003
Samarov, Alexander [Author]; Spokoiny, Vladimir [Author]; Vial, Celine [Author]

Component identification and estimation in nonlinear high-dimensional regression models by structural adaption

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2003
Belloni, A. [Author]; Chernozhukov, V. [Author]; Hansen, C. [Author]

Inference on treatment effects after selection amongst high-dimensional controls

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http://hdl.handle.net/10419/64668

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London: Centre for Microdata Methods and Practice (cemmap), 2012

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