Regression estimation under strong mixing data
Author
Abstract
Suggested Citation
DOI: 10.1007/s10463-018-0653-1
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Yogendra P. Chaubey & Esmaeil Shirazi, 2015. "On MISE of a Non linear Wavelet Estimator of the Regression Function Based on Biased Data under Strong Mixing," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(5), pages 885-899, March.
- Shen, Jia & Xie, Yuan, 2013. "Strong consistency of the internal estimator of nonparametric regression with dependent data," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1915-1925.
- Yogendra P. Chaubey & Christophe Chesneau & Esmaeil Shirazi, 2013. "Wavelet-based estimation of regression function for dependent biased data under a given random design," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(1), pages 53-71, March.
- Huijun Guo & Youming Liu, 2017. "Strong consistency of wavelet estimators for errors-in-variables regression model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 121-144, February.
- Chesneau, Christophe & Fadili, Jalal & Maillot, Bertrand, 2015. "Adaptive estimation of an additive regression function from weakly dependent data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 77-94.
- Raymond J. Carroll & Aurore Delaigle & Peter Hall, 2007. "Non‐parametric regression estimation from data contaminated by a mixture of Berkson and classical errors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(5), pages 859-878, November.
- Susanne M. Schennach, 2004. "Estimation of Nonlinear Models with Measurement Error," Econometrica, Econometric Society, vol. 72(1), pages 33-75, January.
- Mokkadem, Abdelkader, 1988. "Mixing properties of ARMA processes," Stochastic Processes and their Applications, Elsevier, vol. 29(2), pages 309-315, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Huijun Guo & Youming Liu, 2017. "Strong consistency of wavelet estimators for errors-in-variables regression model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 121-144, February.
- Junke Kou & Youming Liu, 2018. "Wavelet regression estimations with strong mixing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(4), pages 667-688, December.
- Christophe Chesneau & Fabien Navarro, 2017. "On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator," Working Papers 2017-68, Center for Research in Economics and Statistics.
- Susanne M. Schennach, 2012.
"Measurement error in nonlinear models - a review,"
CeMMAP working papers
41/12, Institute for Fiscal Studies.
- Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach, 2013.
"Regressions with Berkson errors in covariates - A nonparametric approach,"
Papers
1308.2836, arXiv.org.
- Susanne M. Schennach, 2013. "Regressions with Berkson errors in covariates - a nonparametric approach," CeMMAP working papers 22/13, Institute for Fiscal Studies.
- Susanne M. Schennach, 2013. "Regressions with Berkson errors in covariates - a nonparametric approach," CeMMAP working papers CWP22/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hu, Yingyao & Schennach, Susanne & Shiu, Ji-Liang, 2022. "Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 226(2), pages 269-294.
- Delaigle, Aurore & Meister, Alexander, 2007. "Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1416-1426, December.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020.
"Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia,"
American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2015. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W15/06, Institute for Fiscal Studies.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2020. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W20/3, Institute for Fiscal Studies.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2018. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W18/18, Institute for Fiscal Studies.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2017. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W17/06, Institute for Fiscal Studies.
- Marco Di Marzio & Stefania Fensore & Charles C. Taylor, 2023. "Kernel regression for errors-in-variables problems in the circular domain," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(4), pages 1217-1237, October.
- Stoker, Thomas M. & Berndt, Ernst R. & Denny Ellerman, A. & Schennach, Susanne M., 2005. "Panel data analysis of U.S. coal productivity," Journal of Econometrics, Elsevier, vol. 127(2), pages 131-164, August.
- Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016.
"Explaining adoption and use of payment instruments by US consumers,"
RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
- Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2012. "Explaining adoption and use of payment instruments by U. S. consumers," Working Papers 12-14, Federal Reserve Bank of Boston.
- Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2015. "Explaining adoption and use of payment instruments by U.S. consumers," Boston University - Department of Economics - Working Papers Series wp2015-004, Boston University - Department of Economics.
- Battistin, Erich & Chesher, Andrew, 2014.
"Treatment effect estimation with covariate measurement error,"
Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
- Erich Battistin & Andrew Chesher, 2009. "Treatment effect estimation with covariate measurement error," CeMMAP working papers CWP25/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne M. Schennach & Yingyao Hu & Arthur Lewbel, 2007.
"Nonparametric identification of the classical errors-in-variables model without side information,"
Boston College Working Papers in Economics
674, Boston College Department of Economics.
- Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Attanasio, Orazio & Cattan, Sarah & Fitzsimons, Emla & Meghir, Costas & Rubio-Codina, Marta, 2015.
"Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia,"
IZA Discussion Papers
8856, Institute of Labor Economics (IZA).
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987R3, Cowles Foundation for Research in Economics, Yale University, revised May 2018.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," NBER Working Papers 20965, National Bureau of Economic Research, Inc.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2017.
- Attanasio, Orazio & Cattan, Sarah & Fitzsimons, Emla & Meghir, Costas & Rubio-Codina, Marta, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Center Discussion Papers 198561, Yale University, Economic Growth Center.
- Costas Meghir & Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Working Papers 1046, Economic Growth Center, Yale University.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987, Cowles Foundation for Research in Economics, Yale University.
- Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2015. "Estimating the Production Function for Human Capital: Results from a Randomized Control Trial in Colombia," Cowles Foundation Discussion Papers 1987R2, Cowles Foundation for Research in Economics, Yale University, revised Jul 2018.
- Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Jan 2025.
- Chong Terence Tai-Leung & Chen Haiqiang & Wong Tsz-Nga & Yan Isabel Kit-Ming, 2018.
"Estimation and inference of threshold regression models with measurement errors,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1-16, April.
- Chong, Terence Tai Leung & Chen, Haiqiang & Wong, Tsz Nga & Yan, Isabel K., 2015. "Estimation and Inference of Threshold Regression Models with Measurement Errors," MPRA Paper 68457, University Library of Munich, Germany.
- Chen, Song Xi & Guo, Bin & Qiu, Yumou, 2023. "Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding," Journal of Econometrics, Elsevier, vol. 235(2), pages 1337-1354.
- Manuel Arellano & Stéphane Bonhomme, 2012.
"Identifying Distributional Characteristics in Random Coefficients Panel Data Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 987-1020.
- Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying distributional characteristics in random coefficients panel data models," CeMMAP working papers CWP22/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Manuel Arellano & Stéphane Bonhomme, 2009. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," Working Papers wp2009_0904, CEMFI.
- Yonghong An & Wang Le & Ruli Xiao, 2015. "Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities," CAEPR Working Papers 2015-016, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Yingyao Hu & Geert Ridder, 2012.
"Estimation of nonlinear models with mismeasured regressors using marginal information,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 347-385, April.
- Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
- Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.
More about this item
Keywords
Regression estimation; Errors-in-variables; Strong mixing; Practical estimator; Wavelets;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aistmt:v:71:y:2019:i:3:d:10.1007_s10463-018-0653-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.