Enno Mammen
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2010.
"Nonparametric Regression with Nonparametrically Generated Covariates,"
SFB 649 Discussion Papers
SFB649DP2010-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
Cited by:
- Kanaya, Shin & Kristensen, Dennis, 2016.
"Estimation Of Stochastic Volatility Models By Nonparametric Filtering,"
Econometric Theory, Cambridge University Press, vol. 32(4), pages 861-916, August.
- Shin Kanaya & Dennis Kristensen, 2010. "Estimation of Stochastic Volatility Models by Nonparametric Filtering," CREATES Research Papers 2010-67, Department of Economics and Business Economics, Aarhus University.
- Shin Kanaya & Dennis Kristensen, 2015. "Estimation of stochastic volatility models by nonparametric filtering," CeMMAP working papers 09/15, Institute for Fiscal Studies.
- Shin Kanaya & Dennis Kristensen, 2015. "Estimation of stochastic volatility models by nonparametric filtering," CeMMAP working papers CWP09/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wei Lin & Gloria González‐Rivera, 2019.
"Extreme returns and intensity of trading,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1121-1140, November.
- Gloria Gonzalez-Rivera & Wei Lin, 2017. "Extreme Returns and Intensity of Trading," Working Papers 201801, University of California at Riverside, Department of Economics.
- Gloria Gonzalez-Rivera & Wei Lin, 2016. "Extreme Returns and Intensity of Trading," Working Papers 201607, University of California at Riverside, Department of Economics.
- Xiaohong Chen & Yin Jia Jeff Qiu, 2016.
"Methods for Nonparametric and Semiparametric Regressions with Endogeneity: A Gentle Guide,"
Annual Review of Economics, Annual Reviews, vol. 8(1), pages 259-290, October.
- Xiaohong Chen & Yin Jia Qiu, 2016. "Methods for Nonparametric and Semiparametric Regressions with Endogeneity: a Gentle Guide," Cowles Foundation Discussion Papers 2032, Cowles Foundation for Research in Economics, Yale University.
- Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2015.
"Minimum Distance Estimation of Search Costs using Price Distribution,"
Working Papers, Department of Economics
2015_31, University of São Paulo (FEA-USP).
- Fabio Sanches & Daniel Silva Junior & Sorawoot Srisuma, 2018. "Minimum Distance Estimation of Search Costs Using Price Distribution," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 658-671, October.
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2012. "Generated Covariates in Nonparametric Estimation: A Short Review," SFB 649 Discussion Papers SFB649DP2012-042, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2011.
"Semiparametric Estimation with Generated Covariates,"
SFB 649 Discussion Papers
SFB649DP2011-064, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2011. "Semiparametric Estimation with Generated Covariates," IZA Discussion Papers 6084, Institute of Labor Economics (IZA).
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric estimation with generated covariates," Working Paper Series in Economics 81, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric Estimation With Generated Covariates," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1140-1177, October.
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2014. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers SFB649DP2014-043, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Benjamin Williams, 2018.
"Identification of a Nonseparable Model under Endogeneity using Binary Proxies for Unobserved Heterogeneity,"
Working Papers
2018-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Benjamin Williams, 2019. "Identification of a nonseparable model under endogeneity using binary proxies for unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 10(2), pages 527-563, May.
- Christian Basteck & Tijmen R. Daniëls, 2010.
"Every Symmetric 3 x 3 Global Game of Strategic Complementarities Is Noise Independent,"
SFB 649 Discussion Papers
SFB649DP2010-061, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Basteck, Christian & Daniëls, Tijmen R., 2011. "Every symmetric 3×3 global game of strategic complementarities has noise-independent selection," Journal of Mathematical Economics, Elsevier, vol. 47(6), pages 749-754.
- Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2016. "Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 271-323, December.
- Nianqing Liu & Quang Vuong & Haiqing Xu, 2012. "Rationalization and Identification of Discrete Games with Correlated Types," Department of Economics Working Papers 130915, The University of Texas at Austin, Department of Economics.
- Simar, Leopold & Vanhems, Anne & Van Keilegom, Ingrid, 2013.
"Unobserved heterogeneity and endogeneity in nonparametric frontier estimation,"
LIDAM Discussion Papers ISBA
2013054, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Vanhems, Anne & Van Keilegom, Ingrid, 2016. "Unobserved heterogeneity and endogeneity in nonparametric frontier estimation," LIDAM Reprints ISBA 2016007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Léopold & Vanhems, Anne & Van Keilegom, Ingrid, 2016. "Unobserved heterogeneity and endogeneity in nonparametric frontier estimation," Journal of Econometrics, Elsevier, vol. 190(2), pages 360-373.
- Ida Johnsson & Hyungsik Roger Moon, 2017. "Estimation of Peer Effects in Endogenous Social Networks: Control Function Approach," Papers 1709.10024, arXiv.org, revised Jul 2019.
- Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2014.
"Are University Admissions Academically Fair?,"
CREATES Research Papers
2014-06, Department of Economics and Business Economics, Aarhus University.
- Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
- Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2012. "Are University Admissions Academically Fair?," Economics Series Working Papers 608, University of Oxford, Department of Economics.
- Sarnetzki, Florian & Dzemski, Andreas, 2014. "Overidentification test in a nonparametric treatment model with unobserved heterogeneity," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100620, Verein für Socialpolitik / German Economic Association.
- Van Keilegom, Ingrid & Vanhems, Anne, 2011. "Semiparametric transformation model with endogeneity: a control function approach," TSE Working Papers 11-243, Toulouse School of Economics (TSE).
- Hidehiko Ichimura & Whitney K. Newey, 2015.
"The Influence Function of Semiparametric Estimators,"
CIRJE F-Series
CIRJE-F-985, CIRJE, Faculty of Economics, University of Tokyo.
- Hidehiko Ichimura & Whitney K. Newey, 2015. "The influence function of semiparametric estimators," CeMMAP working papers CWP44/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hidehiko Ichimura & Whitney K. Newey, 2017. "The influence function of semiparametric estimators," CeMMAP working papers CWP06/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
- Gao, Jiti & Kim, Nam Hyun & Saart, Patrick W., 2015. "A misspecification test for multiplicative error models of non-negative time series processes," Journal of Econometrics, Elsevier, vol. 189(2), pages 346-359.
- Michael Zimmert, 2018. "The Finite Sample Performance of Treatment Effects Estimators based on the Lasso," Papers 1805.05067, arXiv.org.
- Vanhems, Anne & Van Keilegom, Ingrid, 2011. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2011011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Pierre-Andre Chiappori & Ivana Komunjer & Dennis Kristensen, 2011.
"Nonparametric Identification and Estimation of Transformation Models,"
CAM Working Papers
2011-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Chiappori, Pierre-André & Komunjer, Ivana & Kristensen, Dennis, 2015. "Nonparametric identification and estimation of transformation models," Journal of Econometrics, Elsevier, vol. 188(1), pages 22-39.
- Patrick W Saart & Jiti Gao & Nam Hyun Kim, 2014. "Econometric Time Series Specification Testing in a Class of Multiplicative Error Models," Monash Econometrics and Business Statistics Working Papers 1/14, Monash University, Department of Econometrics and Business Statistics.
- Jinyong Hahn & Geert Ridder, 2010.
"The Asymptotic Variance of Semi-parametric Estimators with Generated Regressors,"
Textos para discussão
575, Department of Economics PUC-Rio (Brazil).
- Jinyong Hahn & Geert Ridder, 2010. "The asymptotic variance of semi-parametric estimators with generated regressors," CeMMAP working papers CWP23/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jinyong Hahn & Geert Ridder, 2013. "Asymptotic Variance of Semiparametric Estimators With Generated Regressors," Econometrica, Econometric Society, vol. 81(1), pages 315-340, January.
- Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.
- Song, Kyungchul, 2014. "Semiparametric models with single-index nuisance parameters," Journal of Econometrics, Elsevier, vol. 178(P3), pages 471-483.
- Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.
- Kanaya, Shin & Kristensen, Dennis, 2016.
"Estimation Of Stochastic Volatility Models By Nonparametric Filtering,"
Econometric Theory, Cambridge University Press, vol. 32(4), pages 861-916, August.
- Szymon Borak & Wolfgang Härdle & Enno Mammen & Byeong U. Park, 2007.
"Time Series Modelling with Semiparametric Factor Dynamics,"
SFB 649 Discussion Papers
SFB649DP2007-023, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Park, Byeong U. & Mammen, Enno & Härdle, Wolfgang & Borak, Szymon, 2009. "Time Series Modelling With Semiparametric Factor Dynamics," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 284-298.
Cited by:
- Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
- Härdle, Wolfgang Karl & Hautsch, Nikolaus & Mihoci, Andrija, 2012.
"Modelling and forecasting liquidity supply using semiparametric factor dynamics,"
Journal of Empirical Finance, Elsevier, vol. 19(4), pages 610-625.
- Härdle, Wolfgang Karl & Hautsch, Nikolaus & Mihoci, Andrija, 2009. "Modelling and forecasting liquidity supply using semiparametric factor dynamics," CFS Working Paper Series 2009/18, Center for Financial Studies (CFS).
- Wolfgang Karl Härdle & Nikolaus Hautsch & Andrija Mihoci, 2009. "Modelling and Forecasting Liquidity Supply Using Semiparametric Factor Dynamics," SFB 649 Discussion Papers SFB649DP2009-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Enzo Giacomini & Wolfgang Härdle, 2007. "Statistics of Risk Aversion," SFB 649 Discussion Papers SFB649DP2007-025, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Petra Burdejová & Wolfgang K. Härdle, 2017.
"Dynamic semi-parametric factor model for functional expectiles,"
SFB 649 Discussion Papers
SFB649DP2017-027, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Petra Burdejová & Wolfgang K. Härdle, 2019. "Dynamic semi-parametric factor model for functional expectiles," Computational Statistics, Springer, vol. 34(2), pages 489-502, June.
- Gregory Connor & Oliver Linton & Matthias Hagmann, 2007.
"Efficient Estimation of a Semiparametric Characteristic-Based Factor Model of Security Returns,"
FMG Discussion Papers
dp599, Financial Markets Group.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 3775, London School of Economics and Political Science, LSE Library.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 24504, London School of Economics and Political Science, LSE Library.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a SemiparametricCharacteristic-Based Factor Model of Security Returns," STICERD - Econometrics Paper Series 524, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a Semiparametric Characteristic- Based Factor Model of Security Returns," Swiss Finance Institute Research Paper Series 07-26, Swiss Finance Institute.
- Mestekemper, Thomas & Windmann, Michael & Kauermann, Göran, 2010. "Functional hourly forecasting of water temperature," International Journal of Forecasting, Elsevier, vol. 26(4), pages 684-699, October.
- Barbara Choroś-Tomczyk & Wolfgang Karl Härdle & Ostap Okhrin, 2013. "CDO Surfaces Dynamics," SFB 649 Discussion Papers SFB649DP2013-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Song Song & Wolfgang K. Härdle & Ya'acov Ritov, 2014. "Generalized dynamic semi‐parametric factor models for high‐dimensional non‐stationary time series," Econometrics Journal, Royal Economic Society, vol. 17(2), pages 101-131, June.
- Jianqing Fan & Yuan Liao & Han Liu, 2016. "An overview of the estimation of large covariance and precision matrices," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 1-32, February.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "A semiparametric model for heterogeneous panel data with fixed effects," CeMMAP working papers 02/13, Institute for Fiscal Studies.
- Liebl, Dominik, 2010. "Modeling hourly Electricity Spot Market Prices as non stationary functional times series," MPRA Paper 25017, University Library of Munich, Germany.
- Michel van der Wel & Sait R. Ozturk & Dick van Dijk, 2015. "Dynamic Factor Models for the Volatility Surface," CREATES Research Papers 2015-13, Department of Economics and Business Economics, Aarhus University.
- Enzo Giacomini & Wolfgang Härdle & Volker Krätschmer, 2008.
"Dynamic Semiparametric Factor Models in Risk Neutral Density Estimation,"
SFB 649 Discussion Papers
SFB649DP2008-038, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Enzo Giacomini & Wolfgang Härdle & Volker Krätschmer, 2009. "Dynamic semiparametric factor models in risk neutral density estimation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(4), pages 387-402, December.
- Volodymyr Perederiy, 2007. "Kombinierte Liquiditäts- und Solvenzkennzahlen und ein darauf basierendes Insolvenzprognosemodell für deutsche GmbHs," SFB 649 Discussion Papers SFB649DP2007-060, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Lu, Xun & Su, Liangjun, 2015.
"Jackknife model averaging for quantile regressions,"
Journal of Econometrics, Elsevier, vol. 188(1), pages 40-58.
- Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
- Choroś-Tomczyk, Barbara & Härdle, Wolfgang Karl & Okhrin, Ostap, 2016. "A semiparametric factor model for CDO surfaces dynamics," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 151-163.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013.
"A semiparametric model for heterogeneous panel data with fixed effects,"
CeMMAP working papers
CWP02/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
- Markus Pelger & Ruoxuan Xiong, 2022.
"State-Varying Factor Models of Large Dimensions,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1315-1333, June.
- Markus Pelger & Ruoxuan Xiong, 2018. "State-Varying Factor Models of Large Dimensions," Papers 1807.02248, arXiv.org, revised Oct 2020.
- Sergey Nasekin & Wolfgang Karl Hardle, 2020. "Model-driven statistical arbitrage on LETF option markets," Papers 2009.09713, arXiv.org.
- He, Lingyu & Huang, Fei & Shi, Jianjie & Yang, Yanrong, 2021. "Mortality forecasting using factor models: Time-varying or time-invariant factor loadings?," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 14-34.
- Liebl, Dominik, 2010. "Estimation of the Semiparametric Factor Model: Application to Modelling Time Series of Electricity Spot Prices," MPRA Paper 26800, University Library of Munich, Germany.
- Rong Liu & Yichuan Zhao, 2021. "Empirical likelihood inference for generalized additive partially linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 569-585, September.
- Katarzyna Maciejowska & Rafal Weron, 2013.
"Forecasting of daily electricity prices with factor models: Utilizing intra-day and inter-zone relationships,"
HSC Research Reports
HSC/13/11, Hugo Steinhaus Center, Wroclaw University of Technology.
- Katarzyna Maciejowska & Rafał Weron, 2015. "Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships," Computational Statistics, Springer, vol. 30(3), pages 805-819, September.
- Wolfgang Härdle & Julius Mungo, 2007. "Long Memory Persistence in the Factor of Implied Volatility Dynamics," SFB 649 Discussion Papers SFB649DP2007-027, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Likai Chen & Weining Wang & Wei Biao Wu, 2017. "Dynamic Semiparametric Factor Model with a Common Break," SFB 649 Discussion Papers SFB649DP2017-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Stefan Trück & Wolfgang Härdle & Rafal Weron, 2012. "The relationship between spot and futures CO2 emission allowance prices in the EU-ETS," HSC Research Reports HSC/12/02, Hugo Steinhaus Center, Wroclaw University of Technology.
- Song Song & Wolfgang K. Härdle & Ya'acov Ritov, 2010. "High Dimensional Nonstationary Time Series Modelling with Generalized Dynamic Semiparametric Factor Model," SFB 649 Discussion Papers SFB649DP2010-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Alena Bömmel & Song Song & Piotr Majer & Peter Mohr & Hauke Heekeren & Wolfgang Härdle, 2014. "Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of fMRI Data in Economic Decision Making Study," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 489-514, July.
- Wolfgang Karl Härdle,Piotr Majer & Melanie Schienle, 2012. "Yield Curve Modeling and Forecasting using Semiparametric Factor Dynamics," SFB 649 Discussion Papers SFB649DP2012-048, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Yan Li & Liangjun Su & Yuewu Xu, 2015.
"A Combined Approach to the Inference of Conditional Factor Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 203-220, April.
- Yan Li & Liangjun Su & Yuewu Xu, 2014. "A Combined Approach to the Inference of Conditional Factor Models," Working Papers 10-2014, Singapore Management University, School of Economics.
- Borak, Szymon & Weron, Rafal, 2008.
"A semiparametric factor model for electricity forward curve dynamics,"
MPRA Paper
10421, University Library of Munich, Germany.
- Szymon Borak & Rafał Weron, 2008. "A semiparametric factor model for electricity forward curve dynamics," SFB 649 Discussion Papers SFB649DP2008-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Thorsten Dickhaus, 2012. "Simultaneous Statistical Inference in Dynamic Factor Models," SFB 649 Discussion Papers SFB649DP2012-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Alena MyÅ¡iÄ ková & Song Song & Piotr Majer & Peter N.C. Mohr & Hauke R. Heekeren & Wolfgang K. Härdle, 2011. "Risk Patterns and Correlated Brain Activities. Multidimensional statistical analysis of fMRI data with application to risk patterns," SFB 649 Discussion Papers SFB649DP2011-085, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Borus Jungbacker & Siem Jan Koopman & Michel van der Wel, 0000. "Dynamic Factor Models with Smooth Loadings for Analyzing the Term Structure of Interest Rates," Tinbergen Institute Discussion Papers 09-041/4, Tinbergen Institute, revised 17 Sep 2010.
- Xiaofeng Cao & Ostap Okhrin & Martin Odening & Matthias Ritter, 2015.
"Modelling spatio-temporal variability of temperature,"
Computational Statistics, Springer, vol. 30(3), pages 745-766, September.
- Xiaofeng Cao & Ostap Okhrin & Martin Odening & Matthias Ritter, 2014. "Modelling spatiotemporal variability of temperature," SFB 649 Discussion Papers SFB649DP2014-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Piotr Majer & Peter Mohr & Hauke Heekeren & Wolfgang Karl Härdle, 2014. "Portfolio Decisions and Brain Reactions via the CEAD method," SFB 649 Discussion Papers SFB649DP2014-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Liebl, Dominik, 2013. "Modeling and Forecasting Electricity Spot Prices: A Functional Data Perspective," MPRA Paper 50881, University Library of Munich, Germany.
- Wolfgang Haerdle & Enno MAMMEN & Isabel Proenca, 2005.
"A Bootstrap Test for Single Index Models,"
Econometrics
0508007, University Library of Munich, Germany.
- Härdle, Wolfgang & Mammen, Enno & Proença, Isabel, 2000. "A bootstrap test for single index models," SFB 373 Discussion Papers 2000,20, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- HÄRDLE, Wolfgang & DIAS PROENCA, sabel M., 1993. "A Bootstrap Test for Single Index Models," LIDAM Discussion Papers CORE 1993025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
Cited by:
- Alan Ker & A. Tolga Ergun, 2007. "On the Revelation of Private Information in the U.S. Crop Insurance Program," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(4), pages 761-776, December.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2004.
"Bootstrap Inference In Semiparametric Generalized Additive Models,"
Econometric Theory, Cambridge University Press, vol. 20(2), pages 265-300, April.
- Hardle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2000. "Bootstrap inference in semiparametric generalized additive models," DES - Working Papers. Statistics and Econometrics. WS 10079, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2001. "Bootstrap Inference in Semiparametric Generalized Additive Models," Finance Working Papers 01-3, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Matthias Fengler & Wolfgang Härdle & Enno Mammen, 2005.
"A Dynamic Semiparametric Factor Model for Implied Volatility String Dynamics,"
SFB 649 Discussion Papers
SFB649DP2005-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
Cited by:
- Härdle, Wolfgang & Hlávka, Zdenek, 2009. "Dynamics of state price densities," Journal of Econometrics, Elsevier, vol. 150(1), pages 1-15, May.
- Liu, Xialu & Xiao, Han & Chen, Rong, 2016. "Convolutional autoregressive models for functional time series," Journal of Econometrics, Elsevier, vol. 194(2), pages 263-282.
- Michal Benko & Wolfgang Härdle & Alois Kneip, 2006. "Common Functional Principal Components," SFB 649 Discussion Papers SFB649DP2006-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Ralf Brüggemann & Wolfgang Härdle & Julius Mungo & Carsten Trenkler, 2006. "VAR Modeling for Dynamic Semiparametric Factors of Volatility Strings," SFB 649 Discussion Papers SFB649DP2006-011, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Stefan Trück & Wolfgang Härdle & Rafal Weron, 2012. "The relationship between spot and futures CO2 emission allowance prices in the EU-ETS," HSC Research Reports HSC/12/02, Hugo Steinhaus Center, Wroclaw University of Technology.
- Wolfgang Karl Härdle,Piotr Majer & Melanie Schienle, 2012. "Yield Curve Modeling and Forecasting using Semiparametric Factor Dynamics," SFB 649 Discussion Papers SFB649DP2012-048, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Szymon Borak & Matthias Fengler & Wolfgang Härdle, 2005. "DSFM fitting of Implied Volatility Surfaces," SFB 649 Discussion Papers SFB649DP2005-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Lam, Clifford & Yao, Qiwei & Bathia, Neil, 2011. "Estimation of latent factors for high-dimensional time series," LSE Research Online Documents on Economics 31549, London School of Economics and Political Science, LSE Library.
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Oliver Linton & Enno Mammen, 2003. "Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 453, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (8) models by kernel smoothing methods," LSE Research Online Documents on Economics 2187, London School of Economics and Political Science, LSE Library.
Cited by:
- Perron, Benoit, 2004. "Détection non paramétrique de sauts dans la volatilité des marchés financiers," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 229-251, Juin-Sept.
- Linton, Oliver & Srisuma, Sorawoot, 2010.
"Semiparametric estimation of Markov decision processeswith continuous state space,"
LSE Research Online Documents on Economics
58187, London School of Economics and Political Science, LSE Library.
- Srisuma, Sorawoot & Linton, Oliver, 2012. "Semiparametric estimation of Markov decision processes with continuous state space," Journal of Econometrics, Elsevier, vol. 166(2), pages 320-341.
- Oliver Linton & Sorawoot Srisuma, 2010. "Semiparametric Estimation of Markov Decision Processeswith Continuous State Space," STICERD - Econometrics Paper Series 550, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.
- Linton, Oliver & Mammen, Enno, 2004. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 24762, London School of Economics and Political Science, LSE Library.
- Zhijie Xiao & Oliver Linton & Raymond J. Carroll & E. Mammen, 2002.
"More Efficient Kernel Estimation in Nonparametric Regression with Autocorrelated Errors,"
Cowles Foundation Discussion Papers
1375, Cowles Foundation for Research in Economics, Yale University.
- Carroll, Raymond J & Linton, Oliver & Mammen, Enno & Xiao, Zhijie, 2002. "More efficient kernel estimation in nonparametric regression with autocorrelated errors," LSE Research Online Documents on Economics 2017, London School of Economics and Political Science, LSE Library.
- Raymond J Carroll & Oliver Linton & Enno Mammen & Zhijie Xiao, 2002. "More Efficient Kernel Estimation in Nonparametric Regression with Autocorrelated Errors," STICERD - Econometrics Paper Series 435, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
Cited by:
- Dabo-Niang, Sophie & Francq, Christian & Zakoian, Jean-Michel, 2009. "Combining parametric and nonparametric approaches for more efficient time series prediction," MPRA Paper 16893, University Library of Munich, Germany.
- Sophie DABO-NIANG & Christian FRANCQ & Jean-Michel ZAKOIAN, 2009.
"Combining Nonparametric and Optimal Linear Time Series Predictions,"
Working Papers
2009-18, Center for Research in Economics and Statistics.
- Dabo-Niang, Sophie & Francq, Christian & Zakoïan, Jean-Michel, 2010. "Combining Nonparametric and Optimal Linear Time Series Predictions," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1554-1565.
- Joel L. Horowitz & Enno Mammen, 2002.
"Nonparametric estimation of an additive model with a link function,"
CeMMAP working papers
CWP19/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Cited by:
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Oliver Linton & Enno Mammen, 2003. "Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 453, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (8) models by kernel smoothing methods," LSE Research Online Documents on Economics 2187, London School of Economics and Political Science, LSE Library.
- Arthur Lewbel & Oliver Linton, 2003.
"Nonparametric estimation of homothetic and homothetically separable functions,"
CeMMAP working papers
CWP14/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Arthur Lewbel & Oliver Linton, 2003. "Nonparametric Estimation of Homothetic and Homothetically Separable Functions," STICERD - Econometrics Paper Series 461, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Lewbel, Arthur & Linton, Oliver, 2003. "Nonparametric estimation of homothetic and homothetically separable functions," LSE Research Online Documents on Economics 2066, London School of Economics and Political Science, LSE Library.
- Arthur Lewbel & Oliver Linton, 2003. "Nonparametric estimation of homothetic and homothetically separable functions," CeMMAP working papers 14/03, Institute for Fiscal Studies.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2004.
"Nonparametric estimation of an additive quantile regression model,"
CeMMAP working papers
CWP07/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Horowitz, Joel L. & Lee, Sokbae, 2005. "Nonparametric Estimation of an Additive Quantile Regression Model," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1238-1249, December.
- Sokbae Lee & Joel L. Horowitz, 2004. "Nonparametric Estimation of an Additive Quantile Regression Model," Econometric Society 2004 Far Eastern Meetings 721, Econometric Society.
- Linton, Oliver & Mammen, Enno, 2004. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 24762, London School of Economics and Political Science, LSE Library.
- O. Linton & E. Mammen, 2005.
"Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods,"
Econometrica, Econometric Society, vol. 73(3), pages 771-836, May.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 58068, London School of Economics and Political Science, LSE Library.
- Jing Wang & Lijian Yang, 2009. "Efficient and fast spline-backfitted kernel smoothing of additive models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(3), pages 663-690, September.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Arthur Lewbel & Oliver Linton, 2003.
"Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions,"
Boston College Working Papers in Economics
585, Boston College Department of Economics, revised 04 Sep 2006.
- Arthur Lewbel & Oliver Linton, 2007. "Nonparametric Matching and Efficient Estimators of Homothetically Separable Functions," Econometrica, Econometric Society, vol. 75(4), pages 1209-1227, July.
- Gregory N. Price, 2005. "The Causal Effects of Participation in the American Economic Association Summer Minority Program," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 78-97, July.
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2001.
"Bootstrap Inference in Semiparametric Generalized Additive Models,"
Finance Working Papers
01-3, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2004. "Bootstrap Inference In Semiparametric Generalized Additive Models," Econometric Theory, Cambridge University Press, vol. 20(2), pages 265-300, April.
- Hardle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2000. "Bootstrap inference in semiparametric generalized additive models," DES - Working Papers. Statistics and Econometrics. WS 10079, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
Cited by:
- Wu, Ximing & Sickles, Robin, 2018.
"Semiparametric estimation under shape constraints,"
Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
- Wu, Ximing & Sickles, Robin, 2014. "Semiparametric Estimation under Shape Constraints," Working Papers 15-021, Rice University, Department of Economics.
- Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002.
"Semi-parametric Models for Satisfaction with Income,"
Discussion Paper
2002-87, Tilburg University, Center for Economic Research.
- Charles Bellemare & Bertrand Melenberg & Arthur van Soest van Soest, 2002. "Semi-parametric models for satisfaction with income," CeMMAP working papers CWP12/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Other publications TiSEM a7ab8987-444a-4ab0-b566-c, Tilburg University, School of Economics and Management.
- Peter Hall & Joel L. Horowitz, 2013. "A simple bootstrap method for constructing nonparametric confidence bands for functions," CeMMAP working papers CWP29/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Krishna Pendakur & Stefan Sperlich, 2010. "Semiparametric estimation of consumer demand systems in real expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 420-457.
- Jing Dai & Stefan Sperlich & Walter Zucchini, 2011. "Estimating and Predicting Household Expenditures and Income Distributions," MAGKS Papers on Economics 201147, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Øystein Sørensen & Anders M. Fjell & Kristine B. Walhovd, 2023. "Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 456-486, June.
- Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
- Roca-Pardinas, Javier & Cadarso-Suarez, Carmen & Tahoces, Pablo G. & Lado, Maria J., 2008. "Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1958-1970, January.
- Roca-Pardinas, Javier & Sperlich, Stefan, 2007. "Testing the link when the index is semiparametric--a comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6565-6581, August.
- William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
- Suneel Babu Chatla, 2023. "Nonparametric inference for additive models estimated via simplified smooth backfitting," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(1), pages 71-97, February.
- Joel L. Horowitz & Anand Krishnamurthy, 2017. "A bootstrap method for constructing pointwise and uniform confidence bands for conditional quantile functions," CeMMAP working papers CWP01/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Sperlich, 2013. "Comments on: An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 419-427, September.
- Enno Mammen, 2007. "Comments on: Nonparametric inference with generalized likelihood ratio tests," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(3), pages 462-464, December.
- Peter Hall & Joel L. Horowitz, 2013. "A simple bootstrap method for constructing nonparametric confidence bands for functions," CeMMAP working papers 29/13, Institute for Fiscal Studies.
- de Uña Álvarez, Jacobo & Roca Pardiñas, Javier, 2009. "Additive models in censored regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3490-3501, July.
- Jing Dai & Stefan Sperlich & Walter Zucchini, 2016.
"A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics,"
Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 152(1), pages 49-80, January.
- Jing Dai & Stefan Sperlich & Walter Zucchini, 2016. "A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(I), pages 49-80, March.
- Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
- Jing Wang & Lijian Yang, 2009. "Efficient and fast spline-backfitted kernel smoothing of additive models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(3), pages 663-690, September.
- María José Lombardía & Stefan Sperlich, 2008. "Semiparametric inference in generalized mixed effects models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 913-930, November.
- Yang, Jing & Yang, Hu, 2016. "A robust penalized estimation for identification in semiparametric additive models," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 268-277.
- Xu Guo & Tao Wang & Lixing Zhu, 2016. "Model checking for parametric single-index models: a dimension reduction model-adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1013-1035, November.
- Jing Yang & Hu Yang & Fang Lu, 2019. "Rank-based shrinkage estimation for identification in semiparametric additive models," Statistical Papers, Springer, vol. 60(4), pages 1255-1281, August.
- Charles Bellemare & Bertrand Melenberg & Arthur van Soest van Soest, 2002. "Semi-parametric models for satisfaction with income," CeMMAP working papers 12/02, Institute for Fiscal Studies.
- Krebs, Johannes & Rademacher, Daniel & von Sachs, Rainer, 2022. "Statistical inference for intrinsic wavelet estimators of SPD covariance matrices in a log-Euclidean manifold," LIDAM Discussion Papers ISBA 2022004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Joel L. Horowitz & Anand Krishnamurthy, 2017. "A bootstrap method for constructing pointwise and uniform confidence bands for conditional quantile functions," CeMMAP working papers 01/17, Institute for Fiscal Studies.
- Gregory Connor & Thomas Flavin, 2013. "Irish Mortgage Default Optionality," Economics Department Working Paper Series n243-13.pdf, Department of Economics, National University of Ireland - Maynooth.
- Jing Wang, 2012. "Modelling time trend via spline confidence band," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 275-301, April.
- Yu, Zhuoxi & Yang, Kai & Parmar, Milan, 2018. "Empirical likelihood based inference for generalized additive partial linear models," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 105-112.
- Rui Li & Chenlei Leng & Jinhong You, 2017. "A Semiparametric Regression Model for Longitudinal Data with Non-stationary Errors," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(4), pages 932-950, December.
- Engsted, Tom & Mammen, Enno & Tanggaard, Carsten, 2000.
"Evaluating the C-CAPM and the Equity Premium Puzzle at Short and Long Horizons: A Markovian Bootstrap Approach,"
Finance Working Papers
00-10, University of Aarhus, Aarhus School of Business, Department of Business Studies.
Cited by:
- Engsted, Tom & Tanggaard, Carsten, 2001. "The Danish stock and bond markets: comovement, return predictability and variance decomposition," Journal of Empirical Finance, Elsevier, vol. 8(3), pages 243-271, July.
- Stuart Hyde & Mohamed Sherif, 2004. "Don't break the habit: structural stability tests of consumption models in the UK," Money Macro and Finance (MMF) Research Group Conference 2003 49, Money Macro and Finance Research Group.
- Belter, Klaus & Engsted, Tom & Tanggaard, Carsten, 2003.
"A New Daily Dividend-adjusted Index for the Danish Stock Market, 1985-2002: Construction, Statistical Properties, and Return Predictability,"
Finance Working Papers
03-1, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Belter, Klaus & Engsted, Tom & Tanggaard, Carsten, 2005. "A new daily dividend-adjusted index for the Danish stock market, 1985-2002: construction, statistical properties, and return predictability," Research in International Business and Finance, Elsevier, vol. 19(1), pages 53-70, March.
- Oliver B. Linton & Enno Mammen & J. Nielsen & Carsten Tanggaard, 2000.
"Yield Curve Estimation by Kernel Smoothing Methods,"
Econometric Society World Congress 2000 Contributed Papers
0235, Econometric Society.
- Linton, Oliver & Mammen, Enno & Nielsen, Jans Perch & Tanggaard, Carsten, 2001. "Yield curve estimation by kernel smoothing methods," Journal of Econometrics, Elsevier, vol. 105(1), pages 185-223, November.
- Oliver Linton & Enno Mammen & Jens Perch Nielsen & C Tanggaard, 2000. "Yield Curve Estimation by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 385, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno & Perch Nielsen, Jens & Tanggaard, C, 2000. "Yield curve estimation by kernel smoothing methods," LSE Research Online Documents on Economics 2270, London School of Economics and Political Science, LSE Library.
Cited by:
- David Bolder & Scott Gusba, 2002. "Exponentials, Polynomials, and Fourier Series: More Yield Curve Modelling at the Bank of Canada," Staff Working Papers 02-29, Bank of Canada.
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Oliver Linton & Enno Mammen, 2003. "Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 453, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (8) models by kernel smoothing methods," LSE Research Online Documents on Economics 2187, London School of Economics and Political Science, LSE Library.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Laurini, Márcio P. & Hotta, Luiz K., 2008.
"Bayesian extensions to diebold-li term structure model,"
Insper Working Papers
wpe_122, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
- Laurini, Márcio Poletti & Hotta, Luiz Koodi, 2010. "Bayesian extensions to Diebold-Li term structure model," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 342-350, December.
- Yan Liu & Jing Cynthia Wu, 2020.
"Reconstructing the Yield Curve,"
NBER Working Papers
27266, National Bureau of Economic Research, Inc.
- Liu, Yan & Wu, Jing Cynthia, 2021. "Reconstructing the yield curve," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1395-1425.
- Andreasen, Martin M. & Christensen, Bent Jesper, 2015. "The SR approach: A new estimation procedure for non-linear and non-Gaussian dynamic term structure models," Journal of Econometrics, Elsevier, vol. 184(2), pages 420-451.
- Tong, Xiaojun & He, Zhuoqiong Chong & Sun, Dongchu, 2018. "Estimating Chinese Treasury yield curves with Bayesian smoothing splines," Econometrics and Statistics, Elsevier, vol. 8(C), pages 94-124.
- Wali Ullah & Yasumasa Matsuda & Yoshihiko Tsukuda, 2014. "Dynamics of the term structure of interest rates and monetary policy: is monetary policy effective during zero interest rate policy?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(3), pages 546-572, March.
- Severini, Thomas A. & Tripathi, Gautam, 2006.
"Some Identification Issues In Nonparametric Linear Models With Endogenous Regressors,"
Econometric Theory, Cambridge University Press, vol. 22(2), pages 258-278, April.
- Thomas A. Severini & Gautam Tripathi, 2005. "Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors," Working papers 2005-12, University of Connecticut, Department of Economics.
- Victor A. Lapshin & Vadim Ya. Kaushanskiy, 2014.
"A Nonparametric Method For Term Structure Fitting With Automatic Smoothing,"
HSE Working papers
WP BRP 39/FE/2014, National Research University Higher School of Economics.
- Vadim Kaushanskiy & Victor Lapshin, 2016. "A nonparametric method for term structure fitting with automatic smoothing," Applied Economics, Taylor & Francis Journals, vol. 48(58), pages 5654-5666, December.
- Lorenčič Eva, 2016. "Testing the Performance of Cubic Splines and Nelson-Siegel Model for Estimating the Zero-coupon Yield Curve," Naše gospodarstvo/Our economy, Sciendo, vol. 62(2), pages 42-50, June.
- Andrew Jeffrey & Oliver Linton & Thong Nguyen, 2001.
"Flexible Term Structure Estimation: Which Method Is Preferred?,"
Yale School of Management Working Papers
ysm171, Yale School of Management, revised 01 Oct 2001.
- Oliver Linton & Andrew Jeffrey & Thong Nguyen, 2001. "Flexible Term Structure Estimation: Which Method is Preferred?," FMG Discussion Papers dp385, Financial Markets Group.
- Andrew Jeffrey & Oliver Linton & Thong Nguyen, 2001. "Flexible Term Structure Estimation: Which Method Is Preferred?," Yale School of Management Working Papers ysm171, Yale School of Management, revised 01 Oct 2001.
- Andrew Jeffrey & Oliver Linton & Thong Nguyen, 2006. "Flexible Term Structure Estimation: Which Method is Preferred?," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(1), pages 99-122, February.
- Dennis Schroers, 2024. "Robust Functional Data Analysis for Stochastic Evolution Equations in Infinite Dimensions," Papers 2401.16286, arXiv.org.
- Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
- Fengler, Matthias R. & Härdle, Wolfgang & Mammen, Enno, 2003. "Implied volatility string dynamics," SFB 373 Discussion Papers 2003,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Ivailo Arsov & Matthew Brooks & Mitch Kosev, 2013. "New Measures of Australian Corporate Credit Spreads," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 15-26, December.
- Tatyana Krivobokova & Göran Kauermann & Theofanis Archontakis, 2006. "Estimating the term structure of interest rates using penalized splines," Statistical Papers, Springer, vol. 47(3), pages 443-459, June.
- Koo, Bonsoo & La Vecchia, Davide & Linton, Oliver, 2021.
"Estimation of a nonparametric model for bond prices from cross-section and time series information,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 562-588.
- Bonsoo Koo & Davide La Vecchia & Oliver Linton, 2020. "Estimation of a Nonparametric Model for Bond Prices from Cross-Section and Time Series Information," Monash Econometrics and Business Statistics Working Papers 4/20, Monash University, Department of Econometrics and Business Statistics.
- Cai, Junyang & Zhou, Jian, 2022. "How many asymptomatic cases were unconfirmed in the US COVID-19 pandemic? The evidence from a serological survey," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
- Michiel De Pooter, 2007. "Examining the Nelson-Siegel Class of Term Structure Models," Tinbergen Institute Discussion Papers 07-043/4, Tinbergen Institute.
- Hiroyuki Kawakatsu, 2020. "Recovering Yield Curves from Dynamic Term Structure Models with Time-Varying Factors," Stats, MDPI, vol. 3(3), pages 1-46, August.
- Oliver Linton & E. Mammen & J. Nielsen & C. Tanggaard, 1998.
"Estimating Yield Curves by Kernel Smoothing Methods,"
Cowles Foundation Discussion Papers
1205, Cowles Foundation for Research in Economics, Yale University.
- Linton, Oliver & Mammen, Enno & Nielsen, Jens Perch & Tanggaard, Carsten, 1998. "Estimating yield curves by Kernel smoothing methods," SFB 373 Discussion Papers 1999,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
Cited by:
- Andrew Jeffrey & Linton, Oliver Linton & Thong Nguyen & Peter C.B. Phillips, 2001. "Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach," Cowles Foundation Discussion Papers 1311, Cowles Foundation for Research in Economics, Yale University.
- Oliver Linton & E. Mammen & J. Nielsen, 1997.
"The Existence and Asymptotic Properties of a Backfitting Projection Algorithm Under Weak Conditions,"
Cowles Foundation Discussion Papers
1160, Cowles Foundation for Research in Economics, Yale University.
- Mammen, Enno & Linton, Oliver & Nielsen, J, 2000. "The existence and asymptotic properties of a backfitting projection algorithm under weak conditions," LSE Research Online Documents on Economics 2315, London School of Economics and Political Science, LSE Library.
- Oliver Linton & Enno Mammen & N Nielsen, 2000. "The Existence and Asymptotic Properties of a Backfitting Projection Algorithm under Weak Conditions," STICERD - Econometrics Paper Series 386, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, E. & Nielsen, J., 1999. "The existence and asymptotic properties of a backfitting projection algorithm under weak conditions," LSE Research Online Documents on Economics 300, London School of Economics and Political Science, LSE Library.
Cited by:
- Dong, Chaohua & Linton, Oliver, 2018.
"Additive nonparametric models with time variable and both stationary and nonstationary regressors,"
Journal of Econometrics, Elsevier, vol. 207(1), pages 212-236.
- Chaohua Dong & Oliver Linton, 2017. "Additive nonparametric models with time variable and both stationary and nonstationary regressions," CeMMAP working papers CWP59/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Horowitz, Joel L., 2004. "Semiparametric models," Papers 2004,17, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Wang, Li & Wang, Suojin, 2011. "Nonparametric additive model-assisted estimation for survey data," Journal of Multivariate Analysis, Elsevier, vol. 102(7), pages 1126-1140, August.
- Oliver B. Linton & Enno Mammen & J. Nielsen & Carsten Tanggaard, 2000.
"Yield Curve Estimation by Kernel Smoothing Methods,"
Econometric Society World Congress 2000 Contributed Papers
0235, Econometric Society.
- Oliver Linton & Enno Mammen & Jens Perch Nielsen & C Tanggaard, 2000. "Yield Curve Estimation by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 385, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno & Perch Nielsen, Jens & Tanggaard, C, 2000. "Yield curve estimation by kernel smoothing methods," LSE Research Online Documents on Economics 2270, London School of Economics and Political Science, LSE Library.
- Linton, Oliver & Mammen, Enno & Nielsen, Jans Perch & Tanggaard, Carsten, 2001. "Yield curve estimation by kernel smoothing methods," Journal of Econometrics, Elsevier, vol. 105(1), pages 185-223, November.
- Lee, Kyeongeun & Lee, Young K. & Park, Byeong U. & Yang, Seong J., 2018. "Time-dynamic varying coefficient models for longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 123(C), pages 50-65.
- Oliver Linton & Gregory Connor, 2000. "Semiparametric Estimation of a Characteristic-Based Factor Model of Stock Returns," FMG Discussion Papers dp346, Financial Markets Group.
- Joel L. Horowitz, 2012. "Nonparametric additive models," CeMMAP working papers CWP20/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Song, Qiongxia & Yang, Lijian, 2010. "Oracally efficient spline smoothing of nonlinear additive autoregression models with simultaneous confidence band," Journal of Multivariate Analysis, Elsevier, vol. 101(9), pages 2008-2025, October.
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2012. "Generated Covariates in Nonparametric Estimation: A Short Review," SFB 649 Discussion Papers SFB649DP2012-042, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Yang, Lijian & Park, Byeong U. & Xue, Lan & Hardle, Wolfgang, 2006.
"Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration,"
Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1212-1227, September.
- Lijian Yang & Byeong U. Park & Lan Xue & Wolfgang Härdle, 2005. "Estimation and Testing for Varying Coefficients in Additive Models with Marginal Integration," SFB 649 Discussion Papers SFB649DP2005-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Yang, Lijian & Härdle, Wolfgang & Park, Byeong U., 2002. "Estimation and testing for varying coefficients in additive models with marginal integration," SFB 373 Discussion Papers 2002,75, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Michael Vogt, 2012. "Nonparametric regression for locally stationary time series," CeMMAP working papers CWP22/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
- Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
- Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014.
"Semiparametric methods in nonlinear time series analysis: a selective review,"
Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
- Patrick Saart & Jiti Gao, 2012. "Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review," Monash Econometrics and Business Statistics Working Papers 21/12, Monash University, Department of Econometrics and Business Statistics.
- Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2013018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Gao, Jiti & Lu, Zudi & Tjostheim, Dag, 2003.
"Estimation in semiparametric spatial regression,"
MPRA Paper
11979, University Library of Munich, Germany, revised Jul 2005.
- Gao, Jiti & Lu, Zudi & Tjostheim, Dag, 2003. "Estimation in semiparametric spatial regression," MPRA Paper 11971, University Library of Munich, Germany.
- Linton, Oliver B. & Mammen, Enno, 2008.
"Nonparametric transformation to white noise,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
- Oliver Linton & Enno Mammen, 2006. "Nonparametric Transformation to White Noise," STICERD - Econometrics Paper Series 503, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2006. "Nonparametric transformation to white noise," LSE Research Online Documents on Economics 4426, London School of Economics and Political Science, LSE Library.
- Raouf, BOUCEKKINE & Bity, DIENE & Théophile, AZOMAHOU, 2007.
"A closer look at the relationship between life expectancy and economic growth,"
Discussion Papers (ECON - Département des Sciences Economiques)
2007043, Université catholique de Louvain, Département des Sciences Economiques.
- Théophile T. Azomahou & Raouf Boucekkine & Bity Diene, 2009. "A closer look at the relationship between life expectancy and economic growth," International Journal of Economic Theory, The International Society for Economic Theory, vol. 5(2), pages 201-244, June.
- AZOMAHOU, Théophile T. & BOUCEKKINE, Raouf & DIENE, Bity, 2009. "A closer look at the relationship between life expectancy and economic growth," LIDAM Reprints CORE 2115, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Raouf Boucekkine & Bity Diene & Theophile Azomahou, 2007. "A closer look at the relationship between life expectancy and economic growth," Working Papers 2007_24, Business School - Economics, University of Glasgow.
- Azomahou, Théophile & Boucekkine, Raouf & Diene, Bity, 2008. "A Closer Look at the Relationship Between Life Expectancy and Economic Growth," MERIT Working Papers 2008-027, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Peroni, Chiara, 2007.
"A non-parametric investigation of risk premia,"
MPRA Paper
5126, University Library of Munich, Germany, revised 01 Dec 2007.
- Peroni Chiara, 2009. "A Non-Parametric Investigation of Risk Premia," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(4), pages 1-52, September.
- Peroni, Chiara, 2008. "A non-parametric investigation of risk premia," MPRA Paper 15010, University Library of Munich, Germany, revised 15 Apr 2009.
- Hao Dong & Taisuke Otsu, 2018.
"Nonparametric Estimation of Additive Model With Errors-in-Variables,"
Departmental Working Papers
1812, Southern Methodist University, Department of Economics.
- Hao Dong & Taisuke Otsu, 2018. "Nonparametric Estimation of Additive Model with Errors-in-Variables," STICERD - Econometrics Paper Series 600, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
- Wolfgang Haerdle & Oliver Linton & Qihua Wang, 2003.
"Semiparametric Regression Analysis under Imputation for Missing Response Data,"
STICERD - Econometrics Paper Series
454, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Hardle, Wolfgang & Linton, Oliver & Wang, Qihua, 2003. "Semiparametric regression analysis under imputation for missing response data," LSE Research Online Documents on Economics 2206, London School of Economics and Political Science, LSE Library.
- Wang, Qihua & Härdle, Wolfgang & Linton, Oliver, 2002. "Semiparametric regression analysis under imputation for missing response data," SFB 373 Discussion Papers 2002,6, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Suphi Sen & Bertrand Melenberg & Herman R. J. Vollebergh, 2016. "Identification and Estimation of the Environmental Kuznets Curve: Pairwise Differencing to Deal with Nonlinearity and Nonstationarity," CESifo Working Paper Series 5837, CESifo.
- Peter Malec, 2016. "A Semiparametric Intraday GARCH Model," Cambridge Working Papers in Economics 1633, Faculty of Economics, University of Cambridge.
- Rüdiger Krause & Gerhard Tutz, 2006. "Genetic algorithms for the selection of smoothing parameters in additive models," Computational Statistics, Springer, vol. 21(1), pages 9-31, March.
- Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
- Berthold R. Haag, 2008. "Non‐parametric Regression Tests Using Dimension Reduction Techniques," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 719-738, December.
- Suneel Babu Chatla, 2023. "Nonparametric inference for additive models estimated via simplified smooth backfitting," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(1), pages 71-97, February.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "A semiparametric model for heterogeneous panel data with fixed effects," CeMMAP working papers 02/13, Institute for Fiscal Studies.
- Degui Li & Oliver Linton & Zudi Lu, 2012.
"A flexible semiparametric model for time series,"
CeMMAP working papers
CWP28/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A Flexible Semiparametric Model for Time Series," Monash Econometrics and Business Statistics Working Papers 17/12, Monash University, Department of Econometrics and Business Statistics.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A flexible semiparametric model for time series," CeMMAP working papers 28/12, Institute for Fiscal Studies.
- Lin, Lu & Song, Yunquan & Liu, Zhao, 2014. "Local linear–additive estimation for multiple nonparametric regressions," Journal of Multivariate Analysis, Elsevier, vol. 123(C), pages 252-269.
- Grasshoff, Ulrike & Schwalbach, Joachim & Sperlich, Stefan, 1999. "Executive pay and corporate financial performance. An exploratiove data analysis," DES - Working Papers. Statistics and Econometrics. WS 6382, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Gayle, Wayne-Roy & Namoro, Soiliou Daw, 2013. "Estimation of a nonlinear panel data model with semiparametric individual effects," Journal of Econometrics, Elsevier, vol. 175(1), pages 46-59.
- Hao Dong & Taisuke Otsu & Luke Taylor, 2022.
"Nonparametric estimation of additive models with errors-in-variables,"
Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
- Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2022. "Nonparametric estimation of additive models with errors-in-variables," LSE Research Online Documents on Economics 116007, London School of Economics and Political Science, LSE Library.
- Ozabaci, Deniz & Henderson, Daniel J., 2014.
"Additive Kernel Estimates of Returns to Schooling,"
IZA Discussion Papers
8736, Institute of Labor Economics (IZA).
- Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
- Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.
- Huang, Zhensheng & Zhang, Riquan, 2009. "Efficient estimation of adaptive varying-coefficient partially linear regression model," Statistics & Probability Letters, Elsevier, vol. 79(7), pages 943-952, April.
- Rui Li & Yuanyuan Zhang, 2021. "Two-stage estimation and simultaneous confidence band in partially nonlinear additive model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(8), pages 1109-1140, November.
- Enno Mammen & Christoph Rothe & Melanie Schienle, 2010. "Nonparametric Regression with Nonparametrically Generated Covariates," SFB 649 Discussion Papers SFB649DP2010-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
- Sperlich, Stefan & Tjostheim, Dag & Yang, Lijian, 1999.
"Nonparametric estimation and testing of interaction in additive models,"
DES - Working Papers. Statistics and Econometrics. WS
6387, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Sperlich, Stefan & Tjøstheim, Dag & Yang, Lijian, 2002. "Nonparametric Estimation And Testing Of Interaction In Additive Models," Econometric Theory, Cambridge University Press, vol. 18(2), pages 197-251, April.
- Sperlich, Stefan & Tjøstheim, Dag & Yang, Lijian, 1998. "Nonparametric estimation and testing of interaction in additive models," SFB 373 Discussion Papers 1998,14, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Häggström, Jenny, 2013. "Bandwidth selection for backfitting estimation of semiparametric additive models: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 62(C), pages 136-148.
- Holger Dette & Matthias Guhlich & Natalie Neumeyer, 2015. "Testing for additivity in nonparametric quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(3), pages 437-477, June.
- Van Keilegom, Ingrid & Vanhems, Anne, 2011. "Semiparametric transformation model with endogeneity: a control function approach," TSE Working Papers 11-243, Toulouse School of Economics (TSE).
- Joel L. Horowitz & Enno Mammen, 2002. "Nonparametric estimation of an additive model with a link function," CeMMAP working papers 19/02, Institute for Fiscal Studies.
- Guo, Zheng-Feng & Shintani, Mototsugu, 2011. "Nonparametric lag selection for nonlinear additive autoregressive models," Economics Letters, Elsevier, vol. 111(2), pages 131-134, May.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013.
"A semiparametric model for heterogeneous panel data with fixed effects,"
CeMMAP working papers
CWP02/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
- Kim, Woocheol & Linton, Oliver, 2004.
"A local instrumental variable estimation method for generalized additive volatility models,"
LSE Research Online Documents on Economics
24758, London School of Economics and Political Science, LSE Library.
- Woocheol Kim & Oliver Linton, 2004. "A Local Instrumental Variable Estimation Method For Generalized Additive Volatility Models," FMG Discussion Papers dp509, Financial Markets Group.
- Woocheol Kim & Oliver Linton, 2003. "A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models," STICERD - Econometrics Paper Series 456, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Kim, Woocheol & Linton, Oliver, 2003. "A local instrumental variable estimation method for generalized additive volatility models," LSE Research Online Documents on Economics 2028, London School of Economics and Political Science, LSE Library.
- Linton, Oliver & Sancetta, Alessio, 2009. "Consistent estimation of a general nonparametric regression function in time series," Journal of Econometrics, Elsevier, vol. 152(1), pages 70-78, September.
- Abhijit Mandal, 2020. "An optimal test for the additive model with discrete or categorical predictors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1397-1417, December.
- Dette, Holger & von Lieres und Wilkau, Carsten, 2000. "Testing additivity by kernel based methods - what is a reasonable test?," Technical Reports 2000,39, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Stefan Sperlich & Oliver Linton & Wolfgang Härdle, 1999.
"Integration and backfitting methods in additive models-finite sample properties and comparison,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(2), pages 419-458, December.
- Sperlich, Stefan & Hardle, Wolfgang & Linton, Oliver, 1998. "Integration and Backfitting methods in additive models: finite sample properties and comparison," DES - Working Papers. Statistics and Econometrics. WS 6270, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Profit, Stefan & Sperlich, Stefan, 1999.
"Non-uniformity of job-matching in a transition economy- a nonparametric analysis for the czech republic,"
DES - Working Papers. Statistics and Econometrics. WS
6287, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Profit, Stefan & Sperlich, Stefan, 1998. "Non-uniformity of job-matching in a transition economy: A nonparametric analysis for the Czech Republic," SFB 373 Discussion Papers 1998,15, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Stefan Profit & Stefan Sperlich, 2004. "Non-uniformity of job-matching in a transition economy - A nonparametric analysis for the Czech Republic," Applied Economics, Taylor & Francis Journals, vol. 36(7), pages 695-714.
- Fengler, Matthias R. & Mammen, Enno & Vogt, Michael, 2013. "Additive modeling of realized variance: tests for parametric specifications and structural breaks," Economics Working Paper Series 1332, University of St. Gallen, School of Economics and Political Science.
- Oliver Linton & E. Mammen & J. Nielsen & C. Tanggaard, 1998.
"Estimating Yield Curves by Kernel Smoothing Methods,"
Cowles Foundation Discussion Papers
1205, Cowles Foundation for Research in Economics, Yale University.
- Linton, Oliver & Mammen, Enno & Nielsen, Jens Perch & Tanggaard, Carsten, 1998. "Estimating yield curves by Kernel smoothing methods," SFB 373 Discussion Papers 1999,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Fei Liu & Jiti Gao & Yanrong Yang, 2020. "Time-Varying Panel Data Models with an Additive Factor Structure," Monash Econometrics and Business Statistics Working Papers 42/20, Monash University, Department of Econometrics and Business Statistics.
- Stefan Sperlich & Raoul Theler, 2015. "Modeling heterogeneity: a praise for varying-coefficient models in causal analysis," Computational Statistics, Springer, vol. 30(3), pages 693-718, September.
- Müller, Ursula U. & Schick, Anton & Wefelmeyer, Wolfgang, 2014. "Testing for additivity in partially linear regression with possibly missing responses," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 51-61.
- Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.
- Linton, Oliver & Mammen, Enno, 2004. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 24762, London School of Economics and Political Science, LSE Library.
- Zhengyan Lin & Degui Li & Jiti Gao, 2009. "Local Linear M‐estimation in non‐parametric spatial regression," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 286-314, May.
- Joel L. Horowitz & Enno Mammen, 2002. "Nonparametric estimation of an additive model with a link function," CeMMAP working papers CWP19/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- O. Linton & E. Mammen, 2005.
"Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods,"
Econometrica, Econometric Society, vol. 73(3), pages 771-836, May.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 58068, London School of Economics and Political Science, LSE Library.
- Vanhems, Anne & Van Keilegom, Ingrid, 2011. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2011011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
- Jing Wang & Lijian Yang, 2009. "Efficient and fast spline-backfitted kernel smoothing of additive models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(3), pages 663-690, September.
- Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
- Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
- Rodriguez Poo, Juan M. & Sperlich, Stefan & Vieu, Philippe, 2000. "Semiparametric estimation of weak and strong separable models," DES - Working Papers. Statistics and Econometrics. WS 10064, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Hengartner, Nicolas W. & Sperlich, Stefan, 2005. "Rate optimal estimation with the integration method in the presence of many covariates," Journal of Multivariate Analysis, Elsevier, vol. 95(2), pages 246-272, August.
- Martins-Filho, Carlos & yang, ke, 2007. "Finite sample performance of kernel-based regression methods for non-parametric additive models under common bandwidth selection criterion," MPRA Paper 39295, University Library of Munich, Germany.
- Schimek, Michael G. & Turlach, Berwin A., 1998. "Additive and generalized additive models: A survey," SFB 373 Discussion Papers 1998,97, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Mammen, Enno & Martínez Miranda, María Dolores & Nielsen, Jens Perch, 2015. "In-sample forecasting applied to reserving and mesothelioma mortality," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 76-86.
- Joel L. Horowitz, 2012. "Nonparametric additive models," CeMMAP working papers 20/12, Institute for Fiscal Studies.
- Byeong U. Park & Enno Mammen & Young K. Lee & Eun Ryung Lee, 2015. "Varying Coefficient Regression Models: A Review and New Developments," International Statistical Review, International Statistical Institute, vol. 83(1), pages 36-64, April.
- Stefan Sperlich, 2014. "On the choice of regularization parameters in specification testing: a critical discussion," Empirical Economics, Springer, vol. 47(2), pages 427-450, September.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Vanhems, Anne & Van Keilegom, Ingrid, 2019.
"Estimation Of A Semiparametric Transformation Model In The Presence Of Endogeneity,"
Econometric Theory, Cambridge University Press, vol. 35(1), pages 73-110, February.
- Van Keilegom, Ingrid & Vanhems, Anne, 2016. "Estimation of a semiparametric transformation model in the presence of endogeneity," TSE Working Papers 16-654, Toulouse School of Economics (TSE).
- Fernández, Ana I. & Rodríguez-Póo, Juan M. & Sperlich, Stefan, 1998.
"Semiparametric three step estimation methods in labor supply models,"
SFB 373 Discussion Papers
1998,71, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Rodríguez-Póo, Juan M. & Sperlich, Stefan & Fernández, Ana I., 1999. "Semiparametric three step estimation methods in labor supply models," DES - Working Papers. Statistics and Econometrics. WS 6379, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Xia Cui & Heng Peng & Songqiao Wen & Lixing Zhu, 2013. "Component Selection in the Additive Regression Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(3), pages 491-510, September.
- Carroll, Raymond J. & Härdle, Wolfgang & Mammen, Enno, 1999. "Estimation in an additive model when the components are linked parametrically," SFB 373 Discussion Papers 1999,1, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Mammen, Enno & Martínez-Miranda, María Dolores & Nielsen, Jens Perch & Vogt, Michael, 2021. "Calendar effect and in-sample forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 31-52.
- Yang, Lijian & Sperlich, Stefan & Hardle, Wolfgang, 2000. "Derivative estimation and testing in generalized additive models," DES - Working Papers. Statistics and Econometrics. WS 10084, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2004.
"Bootstrap Inference In Semiparametric Generalized Additive Models,"
Econometric Theory, Cambridge University Press, vol. 20(2), pages 265-300, April.
- Hardle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2000. "Bootstrap inference in semiparametric generalized additive models," DES - Working Papers. Statistics and Econometrics. WS 10079, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2001. "Bootstrap Inference in Semiparametric Generalized Additive Models," Finance Working Papers 01-3, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
- Lin, Huazhen & Pan, Lixian & Lv, Shaogao & Zhang, Wenyang, 2018. "Efficient estimation and computation for the generalised additive models with unknown link function," Journal of Econometrics, Elsevier, vol. 202(2), pages 230-244.
- Qian Huang & Jinhong You & Liwen Zhang, 2022. "Efficient inference of longitudinal/functional data models with time‐varying additive structure," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 744-771, June.
- Han, Kyunghee & Lee, Young K. & Park, Byeong U., 2020. "Smooth backfitting for errors-in-variables varying coefficient regression models," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
- Koo, Bonsoo & La Vecchia, Davide & Linton, Oliver, 2021.
"Estimation of a nonparametric model for bond prices from cross-section and time series information,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 562-588.
- Bonsoo Koo & Davide La Vecchia & Oliver Linton, 2020. "Estimation of a Nonparametric Model for Bond Prices from Cross-Section and Time Series Information," Monash Econometrics and Business Statistics Working Papers 4/20, Monash University, Department of Econometrics and Business Statistics.
- Maria Grith & Wolfgang Karl Härdle & Melanie Schienle, 2010. "Nonparametric Estimation of Risk-Neutral Densities," SFB 649 Discussion Papers SFB649DP2010-021, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Gutknecht, Daniel, 2012. "Do Reservation Wages Decline Monotonically? A Novel Statistical Test," Economic Research Papers 270635, University of Warwick - Department of Economics.
- Andrew Jeffrey, 2004. "Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach," Journal of Financial Econometrics, Oxford University Press, vol. 2(2), pages 251-289.
- Lu, Zudi & Lundervold, Arvid & Tjøstheim, Dag & Yao, Qiwei, 2007. "Exploring spatial nonlinearity using additive approximation," LSE Research Online Documents on Economics 5401, London School of Economics and Political Science, LSE Library.
- Hu, Lixia & Huang, Tao & You, Jinhong, 2019. "Two-step estimation of time-varying additive model for locally stationary time series," Computational Statistics & Data Analysis, Elsevier, vol. 130(C), pages 94-110.
- Juhyun Park & Burkhardt Seifert, 2010. "Local additive estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(2), pages 171-191, March.
- Horowitz, Joel L. & Mammen, Enno, 2002. "Nonparametric estimation of an additive model with a link function," SFB 373 Discussion Papers 2002,63, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Li, Degui & Linton, Oliver & Lu, Zudi, 2015. "A flexible semiparametric forecasting model for time series," Journal of Econometrics, Elsevier, vol. 187(1), pages 345-357.
- GIJBELS, Irène & MAMMEN, Enno & PARK, Byeong U. & SIMAR, Léopold, 1997.
"On estimation of monotone and concave frontier functions,"
LIDAM Discussion Papers CORE
1997031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- GIJBELS, Irène & MAMMEN, Enno & PARK, Byeong U. & SIMAR, Léopold, 1999. "On estimation of monotone and concave frontier functions," LIDAM Reprints CORE 1392, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gijbels, Irène & Mammen, Enno & Park, Byeong U. & Simar, Léopold, 1998. "On estimation of monotone and concave frontier functions," SFB 373 Discussion Papers 1998,9, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
Cited by:
- J. Beirlant & G. Claeskens & C. Croux & H. Degryse & H. Dewachter & G. Dhaene & J. Dhaene & I. Gijbels & M. Goovaerts & M. Hubert & F. Roodhooft & W. Schouten & M. Willekens, 2005. "Managing Uncertainty: Financial, Actuarial and Statistical Modeling," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(1), pages 23-48.
- Kerstin Enflo & Per Hjertstrand, 2009.
"Relative Sources of European Regional Productivity Convergence: A Bootstrap Frontier Approach,"
Regional Studies, Taylor & Francis Journals, vol. 43(5), pages 643-659.
- Enflo, Kerstin & Hjertstrand, Per, 2006. "Relative sources of European regional productivity convergence: A bootstrap frontier approach," Working Papers 2006:17, Lund University, Department of Economics.
- Léopold Simar, 2007.
"How to improve the performances of DEA/FDH estimators in the presence of noise?,"
Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
- Simar, Léopold, 2003. "How to Improve the Performances of DEA/FDH Estimators in the Presence of Noise?," SFB 373 Discussion Papers 2003,33, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Philippe K. Widmer & George Elias & Peter Zweifel, 2012. "Improving efficiency through consolidation of jurisdictions? Evidence from the cantons of Switzerland," ECON - Working Papers 085, Department of Economics - University of Zurich.
- Chiang Kao & Shiang-Tai Liu, 2022. "Stochastic efficiencies of network production systems with correlated stochastic data: the case of Taiwanese commercial banks," Annals of Operations Research, Springer, vol. 315(2), pages 1151-1174, August.
- Hallsteinli, Vidar & Kittelsen, Sverre AC & Magnussen, Jon, 2009. "Scale, efficiency and organization in Norwegian psychiatric outpatient clinics for children," HERO Online Working Paper Series 2001:8, University of Oslo, Health Economics Research Programme.
- Sergio Destefanis & Vania Sena, 2004.
"Patterns Of Corporate Governance And Technical Efficiency In Italian Manufacturing,"
Finance
0405026, University Library of Munich, Germany.
- Sergio Destefanis & Vania Sena, 2007. "Patterns of corporate governance and technical efficiency in Italian manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 27-40.
- Somesh Kumar Mathur, 2005. "Growth Accounting for Some Selected Developing, Newly Industrialized and Developed Nations from 1966-2000: A Data Envelopment Analysis," GE, Growth, Math methods 0510009, University Library of Munich, Germany.
- Jaume Puig, 1999. "Radial measures of public services deficit for regional allocation of public funds," Working Papers, Research Center on Health and Economics 439, Department of Economics and Business, Universitat Pompeu Fabra.
- Daouia, Abdelaati & Park, Byeong, 2013.
"On Projection-type Estimators of Multivariate Isotonic Functions,"
LIDAM Reprints ISBA
2013020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Daouia, Abdelaati & Park, Beyong U., 2011. "On Projection-Type Estimators of Multivariate Isotonic Functions," LIDAM Discussion Papers ISBA 2011036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Abdelaati Daouia & Byeong U. Park, 2013. "On Projection-type Estimators of Multivariate Isotonic Functions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(2), pages 363-386, June.
- Tarcio Da Silva & Carlos Martins-filho & Eduardo Ribeiro, 2016. "A comparison of nonparametric efficiency estimators: DEA, FDH, DEAC, FDHC, order-m and quantile," Economics Bulletin, AccessEcon, vol. 36(1), pages 118-131.
- Girard, Séphane & Jacob, Pierre, 2009. "Frontier estimation with local polynomials and high power-transformed data," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1691-1705, September.
- Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
- Simar, L. & Wilson, P.W., 1998.
"A General Methodology for Bootstrapping in Nonparametric Frontier Models,"
Papers
9811, Catholique de Louvain - Institut de statistique.
- Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
- Seok-Oh Jeong & Byeong Park & Léopold Simar, 2010.
"Nonparametric conditional efficiency measures: asymptotic properties,"
Annals of Operations Research, Springer, vol. 173(1), pages 105-122, January.
- Jeong, Seok-Oh & Park, Byeong U. & Simar, Leopold, 2010. "Nonparametric conditional efficiency measures: asymptotic properties," LIDAM Reprints ISBA 2010004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Alois Kneip & Léopold Simar & Paul W. Wilson, 2016.
"Testing Hypotheses in Nonparametric Models of Production,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 435-456, July.
- Kneip, Alois & Simar, Leopold & Wilson, Paul, 2016. "Testing Hypotheses in Nonparametric Models of Production," LIDAM Reprints ISBA 2016044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Kneip, Alois & Simar, Leopold & Wilson, Paul, W, 2013. "Testing Hypotheses in Nonparametric Models of Production," LIDAM Discussion Papers ISBA 2013048, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2006.
"Asymptotics and Consistent Bootstraps for DEA Estimators in Non-parametric Frontier Models,"
Bonn Econ Discussion Papers
12/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
- Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2008. "Asymptotics And Consistent Bootstraps For Dea Estimators In Nonparametric Frontier Models," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1663-1697, December.
- Kao, Chiang & Liu, Shiang-Tai, 2009. "Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks," European Journal of Operational Research, Elsevier, vol. 196(1), pages 312-322, July.
- Erniel B. Barrios & Rouselle F. Lavado, 2010.
"Spatial Stochastic Frontier Models,"
Microeconomics Working Papers
23091, East Asian Bureau of Economic Research.
- Lavado, Rouselle F. & Barrios, Erniel B., 2010. "Spatial Stochastic Frontier Models," Discussion Papers DP 2010-08, Philippine Institute for Development Studies.
- Carlos Martins-FIlho & Feng Yao, 2004. "A Nonparametric Model of Frontiers," Econometric Society 2004 Latin American Meetings 102, Econometric Society.
- Destefanis, Sergio, 2000. "Differenziali territoriali di produttività ed efficienza e sviluppo dualistico [Territorial differences in productivity and efficiency and Italian dualism]," MPRA Paper 62065, University Library of Munich, Germany.
- Monchuk, Daniel C. & Chen, Zhuo & Bonaparte, Yosef, 2010. "Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping," China Economic Review, Elsevier, vol. 21(2), pages 346-354, June.
- David C. Wheelock & Paul W. Wilson, 2003.
"Robust nonparametric estimation of efficiency and technical change in U.S. commercial banking,"
Working Papers
2003-037, Federal Reserve Bank of St. Louis.
- Paul W. Wilson & David C. Wheelock, 2004. "Robust Nonparametric Estimation of Efficiency and Technical Change in U.S. Commercial Banking," Econometric Society 2004 North American Summer Meetings 433, Econometric Society.
- Leopold Simar & Valentin Zelenyuk, 2006.
"On Testing Equality of Distributions of Technical Efficiency Scores,"
Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
- Simar, Leopold & Zelenyuk, Valentin, 2004. "On testing equality of distributions of technical efficiency scores," MPRA Paper 28003, University Library of Munich, Germany.
- Girard, Stéphane & Jacob, Pierre, 2008. "Frontier estimation via kernel regression on high power-transformed data," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 403-420, March.
- Thierry Post & Laurens Cherchye & Timo Kuosmanen, 2002.
"Nonparametric Efficiency Estimation In Stochastic Environments,"
Operations Research, INFORMS, vol. 50(4), pages 645-655, August.
- Cherchye, L. & Post, G.T., 2001. "Nonparametric Efficiency Estimation in Stochastic Environments (II)," ERIM Report Series Research in Management ERS-2001-26-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2019.
"Does active management add value? New evidence from a quantile regression approach,"
Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1734-1751, October.
- Amparo Soler Domínguez & Juan Carlos Matallín Sáez & Emili Tortosa-Ausina, 2013. "Does active management add value? New evidence from a quantile regression approach," Working Papers. Serie EC 2013-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Léopold Simar & Paul Wilson, 2011.
"Inference by the m out of n bootstrap in nonparametric frontier models,"
Journal of Productivity Analysis, Springer, vol. 36(1), pages 33-53, August.
- Simar, Leopold & Wilson, Paul W., 2011. "Inference by the m out of n bootstrap in nonparametric frontier models," LIDAM Reprints ISBA 2011027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jeong, Seok-Oh & Park, Byeong U., 2004. "Limit Distribution of Convex-Hull Estimators of Boundaries," Papers 2004,39, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Kittelsen,S.A.C., 1999. "Monte Carlo simulations of DEA efficiency measures and hypothesis tests," Memorandum 09/1999, Oslo University, Department of Economics.
- Martins-Filho, Carlos & Yao, Feng, 2008. "A smooth nonparametric conditional quantile frontier estimator," Journal of Econometrics, Elsevier, vol. 143(2), pages 317-333, April.
- Daniel Friesner & Ron Mittelhammer & Robert Rosenmane, 2006.
"Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors,"
Working Papers
2006-8, School of Economic Sciences, Washington State University.
- Daniel Friesner & Ron Mittelhammer & Robert Rosenman, 2006. "Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors," Working Papers 2006-8, School of Economic Sciences, Washington State University.
- Daouia, Abdelaati & Noh, Hohsuk & Park, Byeong U., 2013.
"Data envelope fitting with constrained polynomial splines,"
TSE Working Papers
13-449, Toulouse School of Economics (TSE).
- Abdelaati Daouia & Hohsuk Noh & Byeong U. Park, 2016. "Data envelope fitting with constrained polynomial splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(1), pages 3-30, January.
- B. de Borger & K. Kerstens & M. Staat, 2008.
"Transit Costs and Cost Efficiency: Bootstrapping Non-Parametric Frontiers,"
Post-Print
hal-00384167, HAL.
- DE BORGER, Bruno & KERSTENS, Kristiaan & STAAT, Matthias, 2008. "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers," Working Papers 2008012, University of Antwerp, Faculty of Business and Economics.
- Bruno De Borger & Kristiaan Kerstens & Matthias Staat, 2008. "Transit Costs and Cost Efficiency: Bootstrapping Nonparametric Frontiers," Working Papers 2008-ECO-08, IESEG School of Management.
- de Borger, Bruno & Kerstens, Kristiaan & Staat, Matthias, 2008. "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers," Research in Transportation Economics, Elsevier, vol. 23(1), pages 53-64, January.
- Leonie Selk & Charles Tillier & Orlando Marigliano, 2022. "Multivariate boundary regression models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 400-426, March.
- Wheelock, David C & Wilson, Paul W, 1999.
"Technical Progress, Inefficiency, and Productivity Change in U.S. Banking, 1984-1993,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(2), pages 212-234, May.
- David C. Wheelock & Paul W. Wilson, 1996. "Technical progress, inefficiency and productivity change in U.S. banking, 1984-1993," Working Papers 1994-021, Federal Reserve Bank of St. Louis.
- Somesh K. Mathur, 2009. "Financial Analysis of the ICT Industry," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 17-43, June.
- Tsionas, Mike & Patel, Pankaj C. & Guedes, Maria João, 2022. "Endogenous efficiency of the dynamic profit maximization in the intertemporal production models of venture behavior," International Journal of Production Economics, Elsevier, vol. 246(C).
- Kneip, Alois & Simar, Leopold & Wilson, Paul W., 2011.
"Computational Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators,"
LIDAM Reprints ISBA
2011030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Alois Kneip & Léopold Simar & Paul Wilson, 2011. "A Computationally Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 483-515, November.
- Bogetoft, Peter & Kromann, Lene, 2018. "Evaluating treatment effects using data envelopment analysis on matched samples: An analysis of electronic information sharing and firm performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 302-313.
- William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
- Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018.
"Econometric Analysis of Productivity: Theory and Implementation in R,"
Working Papers
18-008, Rice University, Department of Economics.
- Robin C. Sickles & Wonho Song & Valentin Zelenyuk, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," CEPA Working Papers Series WP082018, School of Economics, University of Queensland, Australia.
- Olesen, Ole B. & Petersen, Niels Christian, 2016. "Stochastic Data Envelopment Analysis—A review," European Journal of Operational Research, Elsevier, vol. 251(1), pages 2-21.
- SIMAR, Léopold & WILSON, Paul W., 1998.
"Productivity growth in industrialized countries,"
LIDAM Discussion Papers CORE
1998036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Simar, L. & Wilson, P.W., 1998. "Productivity Growth in Industrialized Countries," Papers 9810, Catholique de Louvain - Institut de statistique.
- Michali, Maria & Emrouznejad, Ali & Dehnokhalaji, Akram & Clegg, Ben, 2023. "Subsampling bootstrap in network DEA," European Journal of Operational Research, Elsevier, vol. 305(2), pages 766-780.
- Hall, Peter & Park, Byeong U., 2004. "Bandwidth choice for local polynomial estimation of smooth boundaries," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 240-261, November.
- R. Alton Gilbert & David C. Wheelock & Paul W. Wilson, 2002.
"New evidence on the Fed's productivity in providing payments services,"
Working Papers
2002-020, Federal Reserve Bank of St. Louis.
- Gilbert, R. Alton & Wheelock, David C. & Wilson, Paul W., 2004. "New evidence on the Fed's productivity in providing payments services," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2175-2190, September.
- Daouia, Abdelaati & Laurent, Thibault & Noh, Hohsuk, 2015.
"npbr: A Package for Nonparametric Boundary Regression in R,"
TSE Working Papers
15-576, Toulouse School of Economics (TSE).
- Daouia, Abdelaati & Laurent, Thibault & Noh, Hohsuk, 2017. "npbr: A Package for Nonparametric Boundary Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i09).
- Robin Cross & Rolf Färe, 2008. "Farrell efficiency under value and quantity data," Journal of Productivity Analysis, Springer, vol. 29(3), pages 193-199, June.
- Kneip, A. & Simar, L. & Van Keilegom I., 2010.
"Boundary estimation in the presence of measurement error with unknown variance,"
LIDAM Discussion Papers ISBA
2010046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Kneip, Alois & Simar, Leopold & Van Keilegom, Ingrid, 2012. "Boundary estimation in the presence of measurement error with unknown variance," LIDAM Discussion Papers ISBA 2012002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Sueyoshi, Toshiyuki & Aoki, Shingo, 2001. "A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test," Omega, Elsevier, vol. 29(1), pages 1-18, February.
- Simar, Leopold & Wilson, Paul, 2015.
"Statistical Approaches for Nonparametric Frontier Models: A Guided Tour,"
LIDAM Reprints ISBA
2015022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Wilson, Paul, 2013. "Statistical Approaches for Nonparametric Frontier Models: A Guided Tour," LIDAM Discussion Papers ISBA 2013047, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
- Victor Maia Senna Delgado, 2008. "Estudo Sobre Um Ranking Municipal De Eficiencia Escolar Em Minas Gerais," Anais do XIII Semin·rio sobre a Economia Mineira [Proceedings of the 13th Seminar on the Economy of Minas Gerais], in: Anais do XIII Seminário sobre a Economia Mineira [Proceedings of the 13th Seminar on the Economy of Minas Gerais], Cedeplar, Universidade Federal de Minas Gerais.
- Christophe Chesneau & Salima El Kolei & Junke Kou & Fabien Navarro, 2019. "Nonparametric estimation in a regression model with additive and multiplicative noise," Papers 1906.07695, arXiv.org, revised Jun 2020.
- Cheng, Ming-Yen & Hall, Peter, 2006. "Methods for tracking support boundaries with corners," Journal of Multivariate Analysis, Elsevier, vol. 97(8), pages 1870-1893, September.
- Rolf Färe & Valentin Zelenyuk, 2021. "Sequential data envelopment analysis," Annals of Operations Research, Springer, vol. 300(1), pages 307-312, May.
- Crosato, Lisa & Destefanis, Sergio & Ganugi, Piero, 2007. "Technology and Firm Size Distribution:Evidence from Italian Manufacturing," CELPE Discussion Papers 102, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
- Jaume Puig, 1999. "Radial measures of public services deficit for regional allocation of public funds," Economics Working Papers 439, Department of Economics and Business, Universitat Pompeu Fabra.
- Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
- Martins-Filho, Carlos & Yao, Feng, 2007. "Nonparametric frontier estimation via local linear regression," Journal of Econometrics, Elsevier, vol. 141(1), pages 283-319, November.
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2018.
"Robustified expected maximum production frontiers,"
TSE Working Papers
17-890, Toulouse School of Economics (TSE).
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Leopold, 2020. "Robustified expected maximum production frontiers," LIDAM Reprints ISBA 2020003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Leopold, 2018. "Robustified expected maximum production frontiers," LIDAM Discussion Papers ISBA 2018003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2021. "Robustified Expected Maximum Production Frontiers," Econometric Theory, Cambridge University Press, vol. 37(2), pages 346-387, April.
- Kao, Chiang & Liu, Shiang-Tai, 2019. "Stochastic efficiency measures for production units with correlated data," European Journal of Operational Research, Elsevier, vol. 273(1), pages 278-287.
- Kittelsen, Sverre A.C. & Magnussen, Jon, 2009. "Testing DEA Models of Efficiency in Norwegian Psychiatric Outpatient Clinics," HERO Online Working Paper Series 1999:4, University of Oslo, Health Economics Research Programme.
- Dai, Sheng & Kuosmanen, Timo & Zhou, Xun, 2023. "Generalized quantile and expectile properties for shape constrained nonparametric estimation," European Journal of Operational Research, Elsevier, vol. 310(2), pages 914-927.
- B. J. Gajewski & R. Lee & M. Bott & U. Piamjariyakul & R. L. Taunton, 2009. "On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes' care planning process," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(9), pages 933-944.
- Byung M. Jeon & Robin C. Sickles, 2004. "The role of environmental factors in growth accounting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 567-591.
- Zelenyuk, Valentin, 2020. "Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data," European Journal of Operational Research, Elsevier, vol. 282(1), pages 172-187.
- Rolf Färe & Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Sequences in Hilbert Spaces," CEPA Working Papers Series WP132019, School of Economics, University of Queensland, Australia.
- Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.
- Léopold Simar & Valentin Zelenyuk, 2007. "Statistical inference for aggregates of Farrell-type efficiencies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1367-1394.
- J. Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2013. "Does active management add value? New evidence from a quantile regression," Working Papers 2013/01, Economics Department, Universitat Jaume I, Castellón (Spain).
- Richmond, J, 2001. "Slack and Net Technical Efficiency Measurement: A Bootstrap Approach," Economics Discussion Papers 8837, University of Essex, Department of Economics.
- Daouia, Abdelaati & Gijbels, Irène, 2011. "Robustness and inference in nonparametric partial frontier modeling," Journal of Econometrics, Elsevier, vol. 161(2), pages 147-165, April.
- Friesner, Daniel & Mittelhammer, Ron & Rosenman, Robert, 2013. "Inferring the incidence of industry inefficiency from DEA estimates," European Journal of Operational Research, Elsevier, vol. 224(2), pages 414-424.
- Davtalab-Olyaie, Mostafa & Asgharian, Masoud & Nia, Vahid Partovi, 2019. "Stochastic ranking and dominance in DEA," International Journal of Production Economics, Elsevier, vol. 214(C), pages 125-138.
- Hardle, W. & Mammen, E., 1990.
"Bootstarp Methods in Nonparametric Regression,"
LIDAM Discussion Papers CORE
1990049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Härdle, W. & Mammen, E., 1991. "Bootstrap methods in nonparametric regression," LIDAM Reprints CORE 934, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
Cited by:
- Estela Bee Dagum & Alessandra Luati, 2002. "Global and local statistical properties of fixed-length nonparametric smoothers," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(3), pages 313-333, October.
- Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2017.
"Unit Root Tests In The Presence Of Multiple Breaks In Variance,"
The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 345-361, June.
- Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2014. "Unit Root Tests In The Presence Of Multiple Breaks In Variance," Working papers 2014rwp-70, Yonsei University, Yonsei Economics Research Institute.
- Enno Mammen, "undated".
"Comparing nonparametric versus parametric regression fits,"
Statistic und Oekonometrie
9205, Humboldt Universitaet Berlin.
- Hardle, W. & Mammen, E., 1990. "Comparing nonparametric versus parametric regression fits," LIDAM Discussion Papers CORE 1990065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
Cited by:
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Nonparametric Tests for Treatment Effect Heterogeneity,"
NBER Technical Working Papers
0324, National Bureau of Economic Research, Inc.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," Working Papers 0609, University of Miami, Department of Economics.
- Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
- Mitnik, Oscar K. & Imbens, Guido & Hotz, V. Joseph & Crump, Richard K., 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," Scholarly Articles 3039049, Harvard University Department of Economics.
- Crump, Richard K. & Hotz, V. Joseph & Imbens, Guido W. & Mitnik, Oscar A., 2006. "Nonparametric Tests for Treatment Effect Heterogeneity," IZA Discussion Papers 2091, Institute of Labor Economics (IZA).
- Chen, Rong, 1998. "Functional coefficient autoregressive models: Estimation and tests of hypotheses," SFB 373 Discussion Papers 1998,10, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Estela Bee Dagum & Alessandra Luati, 2002. "Global and local statistical properties of fixed-length nonparametric smoothers," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(3), pages 313-333, October.
- Dabo-Niang, Sophie & Francq, Christian & Zakoian, Jean-Michel, 2009. "Combining parametric and nonparametric approaches for more efficient time series prediction," MPRA Paper 16893, University Library of Munich, Germany.
- Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
- Donald W.K. Andrews & Xiaoxia Shi, 2010.
"Inference Based on Conditional Moment Inequalities,"
Cowles Foundation Discussion Papers
1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
- Donald W. K. Andrews & Xiaoxia Shi, 2013. "Inference Based on Conditional Moment Inequalities," Econometrica, Econometric Society, vol. 81(2), pages 609-666, March.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
- Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761, Cowles Foundation for Research in Economics, Yale University.
- Sophie DABO-NIANG & Christian FRANCQ & Jean-Michel ZAKOIAN, 2009.
"Combining Nonparametric and Optimal Linear Time Series Predictions,"
Working Papers
2009-18, Center for Research in Economics and Statistics.
- Dabo-Niang, Sophie & Francq, Christian & Zakoïan, Jean-Michel, 2010. "Combining Nonparametric and Optimal Linear Time Series Predictions," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1554-1565.
- Juan Carlos Escanciano & Carlos Velasco, 2006.
"Testing the Martingale Difference Hypothesis Using Integrated Regression Functions,"
Faculty Working Papers
06/06, School of Economics and Business Administration, University of Navarra.
- Escanciano, J. Carlos & Velasco, Carlos, 2006. "Testing the martingale difference hypothesis using integrated regression functions," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2278-2294, December.
- John Galbraith & Simon van Norden, 2008.
"The Calibration Of Probabilistic Economic Forecasts,"
Departmental Working Papers
2008-05, McGill University, Department of Economics.
- John W. Galbraith & Simon van Norden, 2008. "The Calibration of Probabilistic Economic Forecasts," CIRANO Working Papers 2008s-28, CIRANO.
- Gerhard Weihrather, 1993. "Testing a linear regression model against nonparametric alternatives," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 40(1), pages 367-379, December.
- Bissantz, Nicolai & Holzmann, Hajo, 2007. "Statistical inference for inverse problems," Technical Reports 2007,40, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Neumann, Michael H., 1997. "Strong approximation of density estimators from weakly dependent observations by density estimators from independent observations," SFB 373 Discussion Papers 1997,86, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- David C. Wheelock & Paul W. Wilson, 2008.
"Are credit unions too small?,"
Working Papers
2008-033, Federal Reserve Bank of St. Louis.
- David C. Wheelock & Paul W. Wilson, 2011. "Are Credit Unions Too Small?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1343-1359, November.
- Diack, C.A.T. & Thomas-Agnan, C., 1996.
"A Nonparametric Test of The Non-Convexity of Regression,"
Papers
976.427, Toulouse - GREMAQ.
- Diack, Cheikh A. T. & Thomas-Agnan, Christine, 1998. "A nonparametric test of the non-convexity of regression," SFB 373 Discussion Papers 1998,43, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Léopold Simar & Paul Wilson, 2011.
"Inference by the m out of n bootstrap in nonparametric frontier models,"
Journal of Productivity Analysis, Springer, vol. 36(1), pages 33-53, August.
- Simar, Leopold & Wilson, Paul W., 2011. "Inference by the m out of n bootstrap in nonparametric frontier models," LIDAM Reprints ISBA 2011027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Zhang, Chunming & Dette, Holger, 2003. "A power comparison between nonparametric regression tests," Technical Reports 2003,22, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Pascal Lavergne & Valentin Patilea, 2008.
"One for All and All for One:Regression Checks With Many Regressors,"
Discussion Papers
dp08-06, Department of Economics, Simon Fraser University.
- Pascal Lavergne & Valentin Patilea, 2011. "One for All and All for One: Regression Checks With Many Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 41-52, January.
- Lavergne, Pascal & Patilea, Valentin, 2011. "One for all and all for one: regression checks with many regressors," MPRA Paper 35779, University Library of Munich, Germany.
- Pascal Lavergne & Valentin Patilea, 2007. "One for All and All for One : Regression Checks with Many Regressors"," Working Papers 2007-12, Center for Research in Economics and Statistics.
- José Eduardo Gómez-González & Elioth Mirsha Sanabria-Buenaventura, 2012.
"Non-Parametric and Semi-Parametric Asset Pricing: An Application to the Colombian Stock Exchange,"
Borradores de Economia
9384, Banco de la Republica.
- Gómez-González, José Eduardo & Sanabria-Buenaventura, Elioth Mirsha, 2014. "Non-parametric and semi-parametric asset pricing: An application to the Colombian stock exchange," Economic Systems, Elsevier, vol. 38(2), pages 261-268.
- José Eduardo Gómez-González & Elioth Mirsha Sanabria-Buenaventura, 2012. "Non-Parametric and Semi-Parametric Asset Pricing: An Application to the Colombian Stock Exchange," Borradores de Economia 697, Banco de la Republica de Colombia.
- Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009.
"An Improved Bootstrap Test of Stochastic Dominance,"
Cowles Foundation Discussion Papers
1713, Cowles Foundation for Research in Economics, Yale University.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2010. "An improved bootstrap test of stochastic dominance," Journal of Econometrics, Elsevier, vol. 154(2), pages 186-202, February.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2009. "An improved bootstrap test of stochastic dominance," UC3M Working papers. Economics we094827, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Bontemps, Christophe & Simioni, Michel & Surry, Yves R., 2005.
"Hedonic Housing Prices and Agricultural Pollution: An Empirical Investigation on Semiparametric Models,"
2005 International Congress, August 23-27, 2005, Copenhagen, Denmark
24709, European Association of Agricultural Economists.
- Bontemps, Christophe & Simioni, Michel & Surry, Yves R., 2005. "Hedonic Housing Prices and Agricultural Pollution: An Empirical Investigation on Semiparametric Models," 2005 Annual meeting, July 24-27, Providence, RI 19547, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Neumeyer, Natalie & Dette, Holger & Nagel, Eva-Renate, 2003. "A note on testing symmetry of the error distribution in linear regression models," Technical Reports 2003,25, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Denis Chetverikov, 2012. "Testing regression monotonicity in econometric models," CeMMAP working papers CWP35/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lopez, O. & Patilea, V., 2009. "Nonparametric lack-of-fit tests for parametric mean-regression models with censored data," Journal of Multivariate Analysis, Elsevier, vol. 100(1), pages 210-230, January.
- Escanciano, Juan Carlos & Jacho-Chávez, David T., 2010. "Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 625-636, March.
- Zhang, Chun-Xia & Mei, Chang-Lin & Zhang, Jiang-She, 2007. "An empirical study of a test for polynomial relationships in randomly right censored regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6543-6556, August.
- Heuchenne, Cédric & Van Keilegom, Ingrid, 2010. "Goodness-of-fit tests for the error distribution in nonparametric regression," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1942-1951, August.
- Li-Ping Zhu & Lin-Yi Qian & Jin-Guan Lin, 2011. "Variable selection in a class of single-index models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(6), pages 1277-1293, December.
- Lei Gao & Li Wang, 2011. "Security price responses to unexpected earnings: a nonparametric investigation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 241-258, June.
- Neumann, Michael H. & Paparoditis, Efstathios, 1998. "A nonparametric test for the stationary density," SFB 373 Discussion Papers 1998,58, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Franke, Jürgen & Kreiss, Jens-Peter & Mammen, Enno, 1997. "Bootstrap of kernel smoothing in nonlinear time series," SFB 373 Discussion Papers 1997,20, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Enno Mammen, 2007. "Comments on: Nonparametric inference with generalized likelihood ratio tests," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(3), pages 462-464, December.
- Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2008.
"Bootstrap Tests of Stochastic Dominance with AsymptoticSimilarity on the Boundary,"
STICERD - Econometrics Paper Series
527, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Song, Kyungchul & Whang, Yoon-Jae, 2008. "Bootstrap tests of stochastic dominance with asymptotic similarity on the boundary," LSE Research Online Documents on Economics 25092, London School of Economics and Political Science, LSE Library.
- Oliver Linton1 & Kyungchul Song & Yoon-Jae Whang, 2008. "Bootstrap Tests of Stochastic Dominance with Asymptotic Similarity on the Boundary," PIER Working Paper Archive 08-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Oliver Linton & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2008. "Bootstrap tests of stochastic dominance with asymptotic similarity on the boundary," CeMMAP working papers CWP08/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Paulo Parente & Richard Smith, 2012. "Exogeneity in semiparametric moment condition models," CeMMAP working papers CWP30/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- W. González-Manteiga & R. Cao, 1993. "Testing the hypothesis of a general linear model using nonparametric regression estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(1), pages 161-188, December.
- Nicolas Debarsy & Vincenzo Verardi, 2010.
"Estimating Nonlinearities in Spatial Autoregressive Models,"
Working Papers
halshs-00446574, HAL.
- Nicolas Debarsy & Vincenzo Verardi, 2010. "Estimating Nonlinearities in Spatial Autoregressive Models," Working Papers 1016, University of Namur, Department of Economics.
- Bartels, Knut, 1998. "A model specification test," SFB 373 Discussion Papers 1998,109, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
- Anatolyev Stanislav, 2019. "Testing for a Functional Form of Mean Regression in a Fully Parametric Environment," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
- Duchesne, Pierre & Li, Linyuan & Vandermeerschen, Jill, 2010. "On testing for serial correlation of unknown form using wavelet thresholding," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2512-2531, November.
- Härdle, Wolfgang & Liang, Hua & Sommerfeld, Volker, 1997. "Bootstrap approximations in a partially linear regression model," SFB 373 Discussion Papers 1997,102, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Juei-Chao Chen, 1994. "Testing for no effect in nonparametric regression via spline smoothing techniques," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(2), pages 251-265, June.
- Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Christoph Rothe & Dominik Wied, 2013.
"Misspecification Testing in a Class of Conditional Distributional Models,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 314-324, March.
- Rothe, Christoph & Wied, Dominik, 2012. "Misspecification Testing in a Class of Conditional Distributional Models," IZA Discussion Papers 6364, Institute of Labor Economics (IZA).
- Kyle Handley & Nuno Limão, 2013.
"Policy Uncertainty, Trade and Welfare: Theory and Evidence for China and the U.S,"
NBER Working Papers
19376, National Bureau of Economic Research, Inc.
- Limão, Nuno & Handley, Kyle, 2013. "Policy Uncertainty, Trade and Welfare: Theory and Evidence for China and the U.S," CEPR Discussion Papers 9615, C.E.P.R. Discussion Papers.
- Kyle Handley & Nuno Limao, 2016. "Policy Uncertainty, Trade and Welfare: Theory and Evidence for China and the U.S," Working Papers 650, Research Seminar in International Economics, University of Michigan.
- Poulin, Jennifer & Duchesne, Pierre, 2008. "On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results and a comparison with the bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4432-4457, May.
- Bartels, Knut & Boztuæg, Yasemin & Müller, Marlene, 1999. "Testing the multinomial logit model," SFB 373 Discussion Papers 1999,19, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Eckhard Liebscher, 2012. "Model checks for parametric regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 132-155, March.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Mark Fiecas & Hernando Ombao, 2016. "Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1440-1453, October.
- Sommerfeld, Volker, 1997. "Wild bootstrap versus moment-oriented bootstrap," SFB 373 Discussion Papers 1997,76, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Dette, Holger & Hetzler, Benjamin, 2004. "Specification tests indexed by bandwidths," Technical Reports 2004,48, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Bissantz, Nicolai & Holzmann, Hajo & Pawlak, Mirosław, 2008. "Testing for image symmetries: with application to confocal microscopy," Technical Reports 2008,18, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Läuter, Henning & Nikulin, Michail, 1999. "Parametric versus nonparametric goodness of fit: Another view," SFB 373 Discussion Papers 1999,14, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Härdle, Wolfgang & Sperlich, Stefan & Spokoiny, Vladimir G., 1997. "Component analysis for additive models," SFB 373 Discussion Papers 1997,52, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Zheng, Xu, 2008. "Testing for discrete choice models," Economics Letters, Elsevier, vol. 98(2), pages 176-184, February.
- He X. & Zhu L-X., 2003. "A Lack-of-Fit Test for Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 1013-1022, January.
Articles
- Hoderlein, Stefan & Klemelä, Jussi & Mammen, Enno, 2010.
"Analyzing The Random Coefficient Model Nonparametrically,"
Econometric Theory, Cambridge University Press, vol. 26(3), pages 804-837, June.
Cited by:
- Bissantz, Nicolai & Holzmann, Hajo & Proksch, Katharina, 2014. "Confidence regions for images observed under the Radon transform," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 86-107.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2022.
"Nonparametric Identification of Random Coefficients in Endogenous and Heterogeneous Aggregate Demand Models,"
Papers
2201.06140, arXiv.org.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers 11/17, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers CWP11/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014.
"Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level,"
Economics Series
307, Institute for Advanced Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2014. "Nonparametric identification of endogenous and heterogeneous aggregate demand models: complements, bundles and the market level," CeMMAP working papers CWP23/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2015. "Nonparametric identification of endogenous and heterogeneous aggregate demand models: complements, bundles and the market level," CeMMAP working papers CWP51/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2014. "Nonparametric identification of endogenous and heterogeneous aggregate demand models: complements, bundles and the market level," CeMMAP working papers 23/14, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Boston University - Department of Economics - Working Papers Series 2014-005, Boston University - Department of Economics.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2015. "Nonparametric identification of endogenous and heterogeneous aggregate demand models: complements, bundles and the market level," CeMMAP working papers 51/15, Institute for Fiscal Studies.
- Christoph Breunig, 2018. "Varying Random Coefficient Models," Papers 1804.03110, arXiv.org, revised Aug 2020.
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015.
"The triangular model with random coefficients,"
CeMMAP working papers
CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hoderlein, Stefan & Holzmann, Hajo & Meister, Alexander, 2017. "The triangular model with random coefficients," Journal of Econometrics, Elsevier, vol. 201(1), pages 144-169.
- Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The Triangular Model with Random Coefficients," Boston College Working Papers in Economics 894, Boston College Department of Economics, revised 01 Feb 2016.
- Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017.
"Tests for qualitative features in the random coefficients model,"
Courant Research Centre: Poverty, Equity and Growth - Discussion Papers
225, Courant Research Centre PEG.
- Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Papers 1704.01066, arXiv.org, revised Mar 2018.
- Arthur Lewbel & Krishna Pendakur, 2017.
"Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients,"
Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
- Arthur Lewbel & Krishna Pendakur, 2012. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Boston College Working Papers in Economics 791, Boston College Department of Economics, revised 01 Jul 2013.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp16-03, Department of Economics, Simon Fraser University.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp15-12, Department of Economics, Simon Fraser University.
- 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, 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," Working Papers wp2009_0904, CEMFI.
- Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2017.
"Semiparametric Estimation Of Random Coefficients In Structural Economic Models,"
Post-Print
hal-03089886, HAL.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2012. "Semiparametric estimation of random coefficients in structural economic models," CeMMAP working papers CWP09/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hoderlein, Stefan & Nesheim, Lars & Simoni, Anna, 2017. "Semiparametric Estimation Of Random Coefficients In Structural Economic Models," Econometric Theory, Cambridge University Press, vol. 33(6), pages 1265-1305, December.
- Stefan Hoderlein & Lars Nesheim & Anna Simoni, 2015. "Semiparametric Estimation of Random Coefficients in Structural Economic Models," Boston College Working Papers in Economics 895, Boston College Department of Economics, revised 01 Feb 2016.
- Krishna Pendakur, 2018.
"Welfare analysis when people are different,"
Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(2), pages 321-360, May.
- Krishna Pendakur, 2018. "Welfare analysis when people are different," Canadian Journal of Economics, Canadian Economics Association, vol. 51(2), pages 321-360, May.
- Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "A semiparametric model for heterogeneous panel data with fixed effects," CeMMAP working papers 02/13, Institute for Fiscal Studies.
- Jeremy T. Fox & Amit Gandhi, 2011. "Identifying Demand with Multidimensional Unobservables: A Random Functions Approach," NBER Working Papers 17557, National Bureau of Economic Research, Inc.
- Gautier, Eric & Le Pennec, Erwan, 2016.
"Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding,"
TSE Working Papers
16-713, Toulouse School of Economics (TSE).
- Eric Gautier & Erwann Le Pennec, 2011. "Adaptive Estimation in the Nonparametric Random Coefficients Binary Choice Model by Needlet Thresholding," Working Papers 2011-20, Center for Research in Economics and Statistics.
- Eric Gautier & Erwan Le Pennec, 2017. "Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding," Working Papers inria-00601274, HAL.
- Arthur Lewbel, 2012. "An Overview of the Special Regressor Method," Boston College Working Papers in Economics 810, Boston College Department of Economics.
- Eric Gautier & Stefan Hoderlein, 2012.
"A triangular treatment effect model with random coefficients in the selection equation,"
CeMMAP working papers
CWP39/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Eric Gautier & Stefan Hoderlein, 2012. "A Triangular Treatment Effect Model With Random Coefficients In The Selection Equation," Boston College Working Papers in Economics 838, Boston College Department of Economics, revised 15 Sep 2015.
- Gautier, Eric & Hoderlein, Stefan, 2011. "A triangular treatment effect model with random coefficients in the selection equation," TSE Working Papers 15-598, Toulouse School of Economics (TSE), revised 25 Aug 2015.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013.
"Random coefficients in static games of complete information,"
CeMMAP working papers
12/13, Institute for Fiscal Studies.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random Coefficients in Static Games of Complete Information," Boston College Working Papers in Economics 835, Boston College Department of Economics.
- Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random coefficients in static games of complete information," CeMMAP working papers CWP12/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Hoderlein, 2009.
"How Many Consumers are Rational?,"
Boston College Working Papers in Economics
748, Boston College Department of Economics.
- Stefan Hoderlein, 2009. "How many consumers are rational?," CeMMAP working papers CWP32/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hoderlein, Stefan, 2011. "How many consumers are rational?," Journal of Econometrics, Elsevier, vol. 164(2), pages 294-309, October.
- Breunig, Christoph, 2021. "Varying random coefficient models," Journal of Econometrics, Elsevier, vol. 221(2), pages 381-408.
- Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
- Jayeeta Bhattacharya, 2020. "Quantile regression with generated dependent variable and covariates," Papers 2012.13614, arXiv.org.
- Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013.
"A semiparametric model for heterogeneous panel data with fixed effects,"
CeMMAP working papers
CWP02/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
- Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
- Irene Botosaru, 2017. "Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility," Discussion Papers dp17-11, Department of Economics, Simon Fraser University.
- Breitung, Jörg & Salish, Nazarii, 2021. "Estimation of heterogeneous panels with systematic slope variations," Journal of Econometrics, Elsevier, vol. 220(2), pages 399-415.
- Eric Gautier & Stefan Soderlein, 2011. "Estimating the Distribution of Treatment Effects," Working Papers 2011-25, Center for Research in Economics and Statistics.
- Chalak, Karim, 2019. "A note on the robustness of quantile treatment effect estimands," Economics Letters, Elsevier, vol. 185(C).
- Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
- Gao, Z. & Pesaran, M. H., 2022.
"Identification and Estimation of Categorical Random Coeficient Models,"
Cambridge Working Papers in Economics
2228, Faculty of Economics, University of Cambridge.
- Zhan Gao & M. Hashem Pesaran, 2023. "Identification and estimation of categorical random coefficient models," Empirical Economics, Springer, vol. 64(6), pages 2543-2588, June.
- Zhan Gao & M. Hashem Pesaran, 2023. "Identification and Estimation of Categorical Random Coefficient Models," Papers 2302.14380, arXiv.org.
- Zhan Gao & M. Hashem Pesaran, 2022. "Identification and Estimation of Categorical Random Coefficient Models," CESifo Working Paper Series 9714, CESifo.
- Stefan Hoderlein & Jörg Stoye, 2015. "Testing stochastic rationality and predicting stochastic demand: the case of two goods," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(2), pages 313-328, October.
- Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers 37/13, Institute for Fiscal Studies.
- Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
- Christophe Gaillac & Eric Gautier, 2021.
"Adaptive estimation in the linear random coefficients model when regressors have limited variation,"
Post-Print
hal-03374805, HAL.
- Gautier, Eric & Gaillac, Christophe, 2019. "Adaptive estimation in the linear random coefficients model when regressors have limited variation," TSE Working Papers 19-1026, Toulouse School of Economics (TSE).
- Christophe Gaillac & Eric Gautier, 2020. "Adaptive estimation in the linear random coefficients model when regressors have limited variation," Working Papers hal-02130472, HAL.
- Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
- Zheqi Wang & Dehui Wang & Jianhua Cheng, 2023. "A new autoregressive process driven by explanatory variables and past observations: an application to PM 2.5," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 619-658, June.
- Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
- Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.
- Raymond J. Carroll & Arnab Maity & Enno Mammen & Kyusang Yu, 2009.
"Nonparametric additive regression for repeatedly measured data,"
Biometrika, Biometrika Trust, vol. 96(2), pages 383-398.
Cited by:
- Zhang, Xiaoke & Zhong, Qixian & Wang, Jane-Ling, 2020. "A new approach to varying-coefficient additive models with longitudinal covariates," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Al Kadiri, M. & Carroll, R.J. & Wand, M.P., 2010. "Marginal longitudinal semiparametric regression via penalized splines," Statistics & Probability Letters, Elsevier, vol. 80(15-16), pages 1242-1252, August.
- Shujie Ma & Jeffrey S. Racine, 2012. "Additive Regression Splines With Irrelevant Categorical and Continuous Regressors," Department of Economics Working Papers 2012-07, McMaster University.
- Qian Huang & Jinhong You & Liwen Zhang, 2022. "Efficient inference of longitudinal/functional data models with time‐varying additive structure," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 744-771, June.
- Ma, Haiqiang & Zhu, Zhongyi, 2016. "Continuously dynamic additive models for functional data," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 1-13.
- Stefan Hoderlein & Enno Mammen, 2009.
"Identification and estimation of local average derivatives in non-separable models without monotonicity,"
Econometrics Journal, Royal Economic Society, vol. 12(1), pages 1-25, March.
Cited by:
- Stefan Hoderlein & Yuya Sasaki, 2013.
"Outcome Conditioned Treatment Effects,"
Boston College Working Papers in Economics
840, Boston College Department of Economics.
- Stefan Hoderlein & Yuya Sasaki, 2013. "Outcome conditioned treatment effects," CeMMAP working papers 39/13, Institute for Fiscal Studies.
- Stefan Hoderlein & Yuya Sasaki, 2013. "Outcome conditioned treatment effects," CeMMAP working papers CWP39/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ghanem, Dalia, 2017. "Testing identifying assumptions in nonseparable panel data models," Journal of Econometrics, Elsevier, vol. 197(2), pages 202-217.
- Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016.
"Testing for monotonicity in unobservables under unconfoundedness,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
- Stefan Hoderlein & Liangjun Su & Halbert White & Thomas Tao Yang, 2015. "Testing for Monotonicity in Unobservables under Unconfoundedness," Boston College Working Papers in Economics 899, Boston College Department of Economics.
- Sokbae Lee & Yoon-Jae Whang, 2009.
"Nonparametric Tests of Conditional Treatment Effects,"
Cowles Foundation Discussion Papers
1740, Cowles Foundation for Research in Economics, Yale University.
- Sokbae (Simon) Lee & Yoon-Jae Whang, 2009. "Nonparametric tests of conditional treatment effects," CeMMAP working papers CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Peter Reinhard Hansen & Zhuo Huang, 2012.
"Exponential GARCH Modeling with Realized Measures of Volatility,"
CREATES Research Papers
2012-44, Department of Economics and Business Economics, Aarhus University.
- Peter Reinhard Hansen & Zhuo Huang, 2016. "Exponential GARCH Modeling With Realized Measures of Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 269-287, April.
- Peter Reinhard Hansen & Zhuo Huang, 2012. "Exponential GARCH Modeling with Realized Measures of Volatility," Economics Working Papers ECO2012/26, European University Institute.
- Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014.
"Bounding quantile demand functions using revealed preference inequalities,"
Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
- Richard Blundell & Dennis Kristensen & Rosa Matzkin, 2011. "Bounding quantile demand functions using revealed preference inequalities," CeMMAP working papers CWP21/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016.
"Conditional quantile processes based on series or many regressors,"
CeMMAP working papers
46/16, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Ivan Fernandez-Val, 2016. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP46/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Iv'an Fern'andez-Val, 2011. "Conditional Quantile Processes based on Series or Many Regressors," Papers 1105.6154, arXiv.org, revised Aug 2018.
- Alexandre Belloni & Victor Chernozhukov & Ivan Fernandez-Val, 2011. "Conditional quantile processes based on series or many regressors," CeMMAP working papers CWP19/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
- Jiun-Hua Su, 2019. "Counterfactual Inference in Duration Models with Random Censoring," Papers 1902.08502, arXiv.org.
- Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
- Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
- Mammen, Enno & Van Keilegom, Ingrid & Yu, Kyusang, 2013. "Expansion for Moments of Regression Quantiles with Applications to Nonparametric Testing," LIDAM Discussion Papers ISBA 2013027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Kasy, Maximilian, 2022. "Who wins, who loses? Identification of conditional causal effects, and the welfare impact of changing wages," Journal of Econometrics, Elsevier, vol. 226(1), pages 155-170.
- Chen, Songnian & Wang, Xi, 2018. "Semiparametric estimation of panel data models without monotonicity or separability," Journal of Econometrics, Elsevier, vol. 206(2), pages 515-530.
- Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
- Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.
- Stefan Hoderlein & Yuya Sasaki, 2013.
"Outcome Conditioned Treatment Effects,"
Boston College Working Papers in Economics
840, Boston College Department of Economics.
- Arnab Maity & Raymond J. Carroll & Enno Mammen & Nilanjan Chatterjee, 2009.
"Testing in semiparametric models with interaction, with applications to gene–environment interactions,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 75-96, January.
Cited by:
- Colin O. Wu & Gang Zheng & Minjung Kwak, 2013. "A Joint Regression Analysis for Genetic Association Studies with Outcome Stratified Samples," Biometrics, The International Biometric Society, vol. 69(2), pages 417-426, June.
- Wu Cen & Zhong Ping-Shou & Cui Yuehua, 2018. "Additive varying-coefficient model for nonlinear gene-environment interactions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 17(2), pages 1-18, April.
- Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
- Ryan Sun & Raymond J. Carroll & David C. Christiani & Xihong Lin, 2018. "Testing for gene–environment interaction under exposure misspecification," Biometrics, The International Biometric Society, vol. 74(2), pages 653-662, June.
- Hristina Pashova & Michael LeBlanc & Charles Kooperberg, 2017. "Structured Detection of Interactions with the Directed Lasso," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 676-691, December.
- Wei, Jiawei & Carroll, Raymond J. & Maity, Arnab, 2011. "Testing for constant nonparametric effects in general semiparametric regression models with interactions," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 717-723, July.
- Tyler J. VanderWeele & Yu Chen & Habibul Ahsan, 2011. "Inference for Causal Interactions for Continuous Exposures under Dichotomization," Biometrics, The International Biometric Society, vol. 67(4), pages 1414-1421, December.
- Mammen, Enno & Støve, Bård & Tjøstheim, Dag, 2009.
"Nonparametric Additive Models For Panels Of Time Series,"
Econometric Theory, Cambridge University Press, vol. 25(2), pages 442-481, April.
Cited by:
- Marcella Cartledge & Luke Taylor, 2022. "Incentive pay and decision quality: evidence from NCAA football coaches," Applied Economics, Taylor & Francis Journals, vol. 54(30), pages 3505-3520, June.
- Ruiqi Liu & Ben Boukai & Zuofeng Shang, 2019. "Statistical Inference on Partially Linear Panel Model under Unobserved Linearity," Papers 1911.08830, arXiv.org.
- Michael Vogt & Oliver Linton, 2015. "Classification of nonparametric regression functions in heterogeneous panels," CeMMAP working papers 06/15, Institute for Fiscal Studies.
- Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
- Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
- Setareh Ranjbar & Stefan Sperlich, 2020. "A Note on Empirical Studies of Life-Satisfaction: Unhappy with Semiparametrics?," Journal of Happiness Studies, Springer, vol. 21(6), pages 2193-2212, August.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
- Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
- Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
- Juan Rodriguez-Poo & Alexandra Soberón, 2015. "Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study," Computational Statistics, Springer, vol. 30(3), pages 885-906, September.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "A semiparametric model for heterogeneous panel data with fixed effects," CeMMAP working papers 02/13, Institute for Fiscal Studies.
- Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014.
"Modeling structural change in the European metropolitan areas during the process of economic integration,"
Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
- Christian Longhi & Antonio Musolesi & Catherine Baumont, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Post-Print halshs-01228053, HAL.
- Mazzanti, M. & Musolesi, A., 2013.
"Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries,"
Working Papers
2013-08, Grenoble Applied Economics Laboratory (GAEL).
- Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
- Musolesi Antonio & Mazzanti Massimiliano, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-21, December.
- Massimiliano Mazzanti & Antonio Musolesi, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," SEEDS Working Papers 2214, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
- Massimiliano Mazzanti & Antonio Musolesi, 2013.
"Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries,"
Working Papers
2013.91, Fondazione Eni Enrico Mattei.
- Mazzanti, Massimiliano & Musolesi, Antonio, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Climate Change and Sustainable Development 162374, Fondazione Eni Enrico Mattei (FEEM).
- Peter Pütz & Thomas Kneib, 2016. "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research 827, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Qian, Junhui & Wang, Le, 2012.
"Estimating semiparametric panel data models by marginal integration,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 483-493.
- Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
- Jia Chen & Jiti Gao & Degui Li, 2011.
"Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions,"
Monash Econometrics and Business Statistics Working Papers
12/11, Monash University, Department of Econometrics and Business Statistics.
- Jia Chen & Jiti Gao & Degui Li, 2013. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 928-955, November.
- Jia Chen & Jiti Gao & Degui Li, 2010. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," School of Economics and Public Policy Working Papers 2010-09, University of Adelaide, School of Economics and Public Policy.
- Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013.
"A semiparametric model for heterogeneous panel data with fixed effects,"
CeMMAP working papers
CWP02/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
- Michael Vogt & Oliver Linton, 2017. "Classification of non-parametric regression functions in longitudinal data models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 5-27, January.
- Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.
- Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
- Jia Chen & Jiti Gao & Degui Li, 2011.
"Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects,"
Monash Econometrics and Business Statistics Working Papers
14/11, Monash University, Department of Econometrics and Business Statistics.
- Jia Chen & Jiti Gao & Degui Li, 2013. "Estimation in Partially Linear Single-Index Panel Data Models With Fixed Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 315-330, July.
- Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
- Liping Zhu & Jinhong You & Qunfang Xu, 2014. "Statistical Inference for Single-index Panel Data Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 830-843, September.
- Sun, Yiguo & Malikov, Emir, 2017.
"Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects,"
MPRA Paper
83671, University Library of Munich, Germany.
- Sun, Yiguo & Malikov, Emir, 2018. "Estimation and inference in functional-coefficient spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 203(2), pages 359-378.
- Mammen, Enno & Martínez-Miranda, María Dolores & Nielsen, Jens Perch & Vogt, Michael, 2021. "Calendar effect and in-sample forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 31-52.
- Michael Vogt & Oliver Linton, 2015. "Classification of nonparametric regression functions in heterogeneous panels," CeMMAP working papers CWP06/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
- Jia Chen & Degui Li & Jiti Gao, 2013. "Non- and Semi-Parametric Panel Data Models: A Selective Review," Monash Econometrics and Business Statistics Working Papers 18/13, Monash University, Department of Econometrics and Business Statistics.
- Chen, Jia & Li, Degui & Xia, Yingcun, 2019. "Estimation of a rank-reduced functional-coefficient panel data model with serial correlation," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 456-479.
- Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).
- Park, Byeong U. & Mammen, Enno & Härdle, Wolfgang & Borak, Szymon, 2009.
"Time Series Modelling With Semiparametric Factor Dynamics,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 284-298.
See citations under working paper version above.
- Szymon Borak & Wolfgang Härdle & Enno Mammen & Byeong U. Park, 2007. "Time Series Modelling with Semiparametric Factor Dynamics," SFB 649 Discussion Papers SFB649DP2007-023, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Linton, Oliver B. & Mammen, Enno, 2008.
"Nonparametric transformation to white noise,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
- Oliver Linton & Enno Mammen, 2006. "Nonparametric Transformation to White Noise," STICERD - Econometrics Paper Series 503, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2006. "Nonparametric transformation to white noise," LSE Research Online Documents on Economics 4426, London School of Economics and Political Science, LSE Library.
Cited by:
- Xilong Chen & Eric Ghysels, 2011. "News--Good or Bad--and Its Impact on Volatility Predictions over Multiple Horizons," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 46-81, October.
- Oliver Linton & Qiying Wang, 2013.
"Non-parametric transformation regression with non-stationary data,"
CeMMAP working papers
CWP16/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, Oliver & Wang, Qiying, 2016. "Nonparametric Transformation Regression With Nonstationary Data," Econometric Theory, Cambridge University Press, vol. 32(1), pages 1-29, February.
- Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Gregory Connor & Oliver Linton & Matthias Hagmann, 2007.
"Efficient Estimation of a Semiparametric Characteristic-Based Factor Model of Security Returns,"
FMG Discussion Papers
dp599, Financial Markets Group.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 3775, London School of Economics and Political Science, LSE Library.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 24504, London School of Economics and Political Science, LSE Library.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a SemiparametricCharacteristic-Based Factor Model of Security Returns," STICERD - Econometrics Paper Series 524, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a Semiparametric Characteristic- Based Factor Model of Security Returns," Swiss Finance Institute Research Paper Series 07-26, Swiss Finance Institute.
- Koo, Bonsoo & Linton, Oliver, 2012. "Estimation of semiparametric locally stationary diffusion models," Journal of Econometrics, Elsevier, vol. 170(1), pages 210-233.
- Degui Li & Oliver Linton & Zudi Lu, 2012.
"A flexible semiparametric model for time series,"
CeMMAP working papers
CWP28/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A Flexible Semiparametric Model for Time Series," Monash Econometrics and Business Statistics Working Papers 17/12, Monash University, Department of Econometrics and Business Statistics.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A flexible semiparametric model for time series," CeMMAP working papers 28/12, Institute for Fiscal Studies.
- Juliane Geller & Michael H. Neumann, 2018. "Improved local polynomial estimation in time series regression," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-27, January.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
- Ozabaci, Deniz & Henderson, Daniel J., 2014.
"Additive Kernel Estimates of Returns to Schooling,"
IZA Discussion Papers
8736, Institute of Labor Economics (IZA).
- Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
- Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
- Oliver Linton & Qiying Wang, 2013. "Non-parametric transformation regression with non-stationary data," CeMMAP working papers 16/13, Institute for Fiscal Studies.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Longer-Term Forecasting of Excess Stock Returns—The Five-Year Case," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
- Mammen, Enno & Martínez-Miranda, María Dolores & Nielsen, Jens Perch & Vogt, Michael, 2021. "Calendar effect and in-sample forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 31-52.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2019. "Machine Learning for Forecasting Excess Stock Returns – The Five-Year-View," Graz Economics Papers 2019-06, University of Graz, Department of Economics.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers 2020-20, University of Graz, Department of Economics.
- Li, Degui & Linton, Oliver & Lu, Zudi, 2015. "A flexible semiparametric forecasting model for time series," Journal of Econometrics, Elsevier, vol. 187(1), pages 345-357.
- Liangjun Su & Aman Ullah & Yun Wang, 2013. "Nonparametric regression estimation with general parametric error covariance: a more efficient two-step estimator," Empirical Economics, Springer, vol. 45(2), pages 1009-1024, October.
- Enno Mammen & Jens Perch Nielsen, 2007.
"A General Approach to the Predictability Issue in Survival Analysis with Applications,"
Biometrika, Biometrika Trust, vol. 94(4), pages 873-892.
Cited by:
- van den Berg, Gerard. J. & Janys, Lena & Mammen, Enno & Nielsen, Jens Perch, 2021. "A general semiparametric approach to inference with marker-dependent hazard rate models," Journal of Econometrics, Elsevier, vol. 221(1), pages 43-67.
- María Luz Gámiz & Enno Mammen & María Dolores Martínez Miranda & Jens Perch Nielsen, 2016. "Double one-sided cross-validation of local linear hazards," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 755-779, September.
- Janys, Lena, 2017. "A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168077, Verein für Socialpolitik / German Economic Association.
- Tine Buch-Kromann & Jens Nielsen, 2012. "Multivariate density estimation using dimension reducing information and tail flattening transformations for truncated or censored data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(1), pages 167-192, February.
- van den Berg, Gerard J. & Janys, Lena & Mammen, Enno & Nielsen, Jens P., 2016.
"A general semiparametric approach to inference with marker-dependent hazard rate models,"
Working Paper Series
2016:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- van den Berg, Gerard J. & Janys, Lena & Mammen, Enno & Nielsen, Jens P., 2014. "A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models," IZA Discussion Papers 8339, Institute of Labor Economics (IZA).
- Stefan Hoderlein & Enno Mammen, 2007.
"Identification of Marginal Effects in Nonseparable Models Without Monotonicity,"
Econometrica, Econometric Society, vol. 75(5), pages 1513-1518, September.
Cited by:
- Stefan Hoderlein & Yuya Sasaki, 2013.
"Outcome Conditioned Treatment Effects,"
Boston College Working Papers in Economics
840, Boston College Department of Economics.
- Stefan Hoderlein & Yuya Sasaki, 2013. "Outcome conditioned treatment effects," CeMMAP working papers 39/13, Institute for Fiscal Studies.
- Stefan Hoderlein & Yuya Sasaki, 2013. "Outcome conditioned treatment effects," CeMMAP working papers CWP39/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Karim Chalak & Halbert White, 2011.
"Viewpoint: An extended class of instrumental variables for the estimation of causal effects,"
Canadian Journal of Economics, Canadian Economics Association, vol. 44(1), pages 1-51, February.
- Karim Chalak & Halbert White, 2011. "Viewpoint: An extended class of instrumental variables for the estimation of causal effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(1), pages 1-51, February.
- Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
- Sasaki, Yuya, 2015. "What Do Quantile Regressions Identify For General Structural Functions?," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1102-1116, October.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013.
"Nonparametric identification in panels using quantiles,"
CeMMAP working papers
66/13, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Hoderlein, Stefan & Holzmann, Hajo & Newey, Whitney, 2015. "Nonparametric identification in panels using quantiles," Journal of Econometrics, Elsevier, vol. 188(2), pages 378-392.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers 54/14, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney K. Newey, 2013. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP66/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Whitney K. Newey, 2014. "Nonparametric identification in panels using quantiles," CeMMAP working papers CWP54/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Stefan Hoderlein & Hajo Holzmann & Whitney Newey, 2013. "Nonparametric Identification in Panels using Quantiles," Papers 1312.4094, arXiv.org, revised Aug 2014.
- Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015.
"The triangular model with random coefficients,"
CeMMAP working papers
CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hoderlein, Stefan & Holzmann, Hajo & Meister, Alexander, 2017. "The triangular model with random coefficients," Journal of Econometrics, Elsevier, vol. 201(1), pages 144-169.
- Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The Triangular Model with Random Coefficients," Boston College Working Papers in Economics 894, Boston College Department of Economics, revised 01 Feb 2016.
- Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013.
"Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments,"
Boston College Working Papers in Economics
839, Boston College Department of Economics.
- Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers 40/13, Institute for Fiscal Studies.
- Arthur Lewbel & Krishna Pendakur, 2017.
"Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients,"
Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
- Arthur Lewbel & Krishna Pendakur, 2012. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Boston College Working Papers in Economics 791, Boston College Department of Economics, revised 01 Jul 2013.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp16-03, Department of Economics, Simon Fraser University.
- Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp15-12, Department of Economics, Simon Fraser University.
- Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016.
"Testing for monotonicity in unobservables under unconfoundedness,"
Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
- Stefan Hoderlein & Liangjun Su & Halbert White & Thomas Tao Yang, 2015. "Testing for Monotonicity in Unobservables under Unconfoundedness," Boston College Working Papers in Economics 899, Boston College Department of Economics.
- Hoderlein, Stefan & White, Halbert, 2012.
"Nonparametric identification in nonseparable panel data models with generalized fixed effects,"
Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
- Stefan Hoderlein & Halbert White, 2009. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," CeMMAP working papers CWP33/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Stefan Hoderlein & Halbert White, 2009. "Nonparametric Identification in Nonseparable Panel Data Models with Generalized Fixed Effects," Boston College Working Papers in Economics 746, Boston College Department of Economics.
- Halbert White & Karim Chalak, 2010.
"Testing a Conditional Form of Exogeneity,"
Boston College Working Papers in Economics
733, Boston College Department of Economics.
- White, Halbert & Chalak, Karim, 2010. "Testing a conditional form of exogeneity," Economics Letters, Elsevier, vol. 109(2), pages 88-90, November.
- Michele De Nadai & Arthur Lewbel, 2012.
"Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation,"
Boston College Working Papers in Economics
790, Boston College Department of Economics, revised 01 Jul 2013.
- De Nadai, Michele & Lewbel, Arthur, 2016. "Nonparametric errors in variables models with measurement errors on both sides of the equation," Journal of Econometrics, Elsevier, vol. 191(1), pages 19-32.
- Taylor, Luke & Otsu, Taisuke, 2016.
"Estimation of nonseparable models with censored dependent variables and endogenous regressors,"
LSE Research Online Documents on Economics
68678, London School of Economics and Political Science, LSE Library.
- Taisuke Otsu & Luke Taylor, 2014. "Estimation of Nonseparable Models with Censored Dependent Variables and Endogenous Regressors," STICERD - Econometrics Paper Series 575, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Luke Taylor & Taisuke Otsu, 2019. "Estimation of nonseparable models with censored dependent variables and endogenous regressors," Econometric Reviews, Taylor & Francis Journals, vol. 38(1), pages 4-24, January.
- Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers 33/15, 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.
- Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008.
"Estimating Derivatives in Nonseparable Models with Limited Dependent Variables,"
Cowles Foundation Discussion Papers
1668R, Cowles Foundation for Research in Economics, Yale University, revised May 2011.
- Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2012. "Estimating Derivatives in Nonseparable Models With Limited Dependent Variables," Econometrica, Econometric Society, vol. 80(4), pages 1701-1719, July.
- Joseph Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating derivatives in nonseparable models with limited dependent variables," CeMMAP working papers CWP20/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," NBER Working Papers 14161, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," CIRJE F-Series CIRJE-F-574, CIRJE, Faculty of Economics, University of Tokyo.
- Joseph G. Altonji & Hidehiko Ichimura & Taisuke Otsu, 2008. "Estimating Derivatives in Nonseparable Models with Limited Dependent Variables," Cowles Foundation Discussion Papers 1668, Cowles Foundation for Research in Economics, Yale University.
- Koen Jochmans, 2023.
"Peer effects and endogenous social interactions,"
Post-Print
hal-04164668, HAL.
- Jochmans, Koen, 2022. "Peer Effects and Endogenous Social Interactions," TSE Working Papers 22-1348, Toulouse School of Economics (TSE).
- Jochmans, Koen, 2023. "Peer effects and endogenous social interactions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1203-1214.
- Koen Jochmans, 2020. "Peer effects and endogenous social interactions," Papers 2008.07886, arXiv.org.
- Whitney Newey & Sami Stouli, 2018.
"Control Variables, Discrete Instruments, and Identification of Structural Functions,"
Bristol Economics Discussion Papers
18/702, School of Economics, University of Bristol, UK.
- Whitney Newey & Sami Stouli, 2018. "Control Variables, Discrete Instruments, and Identification of Structural Functions," Papers 1809.05706, arXiv.org, revised Dec 2019.
- Whitney K. Newey & Sami Stouli, 2018. "Control variables, discrete instruments, and identification of structural functions," CeMMAP working papers CWP55/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Newey, Whitney & Stouli, Sami, 2021. "Control variables, discrete instruments, and identification of structural functions," Journal of Econometrics, Elsevier, vol. 222(1), pages 73-88.
- Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014.
"Bounding quantile demand functions using revealed preference inequalities,"
Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
- Richard Blundell & Dennis Kristensen & Rosa Matzkin, 2011. "Bounding quantile demand functions using revealed preference inequalities," CeMMAP working papers CWP21/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Christoph Breunig, 2016. "Specification Testing in Nonparametric Instrumental Quantile Regression," SFB 649 Discussion Papers SFB649DP2016-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Susanne M. Schennach & Halbert White & Karim Chalak, 2007.
"Estimating average marginal effects in nonseparable structural systems,"
CeMMAP working papers
CWP31/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Susanne Schennach & Halbert White & Karim Chalak, 2007. "Local Indirect Least Squares and Average Marginal Effects in Nonseparable Structural Systems," Boston College Working Papers in Economics 680, Boston College Department of Economics, revised 26 Dec 2009.
- Sokbae (Simon) Lee & Bernard Salanie, 2018.
"Identifying effects of multivalued treatments,"
CeMMAP working papers
CWP34/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers CWP72/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
- Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers 72/15, Institute for Fiscal Studies.
- Sokbae Lee & Bernard Salani'e, 2018. "Identifying Effects of Multivalued Treatments," Papers 1805.00057, arXiv.org.
- Salanié, Bernard, 2015. "Identifying Effects of Multivalued Treatments," CEPR Discussion Papers 10970, C.E.P.R. Discussion Papers.
- Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
- Holger Dette & Stefan Hoderlein & Natalie Neumeyer, 2013.
"Testing Multivariate Economic Restrictions Using Quantiles: The Example of Slutsky Negative Semidefiniteness,"
Boston College Working Papers in Economics
836, Boston College Department of Economics.
- Dette, Holger & Hoderlein, Stefan & Neumeyer, Natalie, 2016. "Testing multivariate economic restrictions using quantiles: The example of Slutsky negative semidefiniteness," Journal of Econometrics, Elsevier, vol. 191(1), pages 129-144.
- Holger Dette & Stefan Hoderlein & Natalie Neumeyer, 2011. "Testing multivariate economic restrictions using quantiles: the example of Slutsky negative semidefiniteness," CeMMAP working papers CWP14/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
- Giovanni Forchini, 2012. "Structural Equations and Invariance," School of Economics Discussion Papers 0312, School of Economics, University of Surrey.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017.
"Nonseparable multinomial choice models in cross-section and panel data,"
CeMMAP working papers
33/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Whitney K. Newey, 2017. "Nonseparable multinomial choice models in cross-section and panel data," CeMMAP working papers CWP33/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Fernández-Val, Iván & Newey, Whitney K., 2019. "Nonseparable multinomial choice models in cross-section and panel data," Journal of Econometrics, Elsevier, vol. 211(1), pages 104-116.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Whitney Newey, 2017. "Nonseparable Multinomial Choice Models in Cross-Section and Panel Data," Papers 1706.08418, arXiv.org, revised May 2018.
- Rothe, Christoph, 2011.
"Partial Distributional Policy Effects,"
IZA Discussion Papers
6076, Institute of Labor Economics (IZA).
- Christoph Rothe, 2012. "Partial Distributional Policy Effects," Econometrica, Econometric Society, vol. 80(5), pages 2269-2301, September.
- Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
- Jeremy T. Fox & Amit Gandhi, 2009. "Identifying Heterogeneity in Economic Choice Models," NBER Working Papers 15147, National Bureau of Economic Research, Inc.
- Xavier d'Haultfoeuille & Philippe Février, 2011. "Identification of Nonseparable Modes with Endogeneity and Discrete Instruments," Working Papers 2011-28, Center for Research in Economics and Statistics.
- Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
- Stefan Hoderlein & Hajo Holzmann & Maximilian Kasy & Alexander Meister, 2015. "Erratum regarding “Instrumental variables with unrestricted heterogeneity and continuous treatment”," Boston College Working Papers in Economics 896, Boston College Department of Economics, revised 01 Feb 2016.
- Paluch, Michal & Kneip, Alois & Hildenbrand, Werner, 2007. "Individual versus Aggregate Income Elasticities for Heterogeneous Populations," Bonn Econ Discussion Papers 13/2007, University of Bonn, Bonn Graduate School of Economics (BGSE).
- Andrew Chesher & Adam Rosen, 2014.
"Generalized instrumental variable models,"
CeMMAP working papers
04/14, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers 43/13, Institute for Fiscal Studies.
- Andrew Chesher & Adam M. Rosen, 2017. "Generalized Instrumental Variable Models," Econometrica, Econometric Society, vol. 85, pages 959-989, May.
- Andrew Chesher & Adam Rosen, 2014. "Generalized instrumental variable models," CeMMAP working papers CWP04/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lewbel, Arthur & Lu, Xun & Su, Liangjun, 2015.
"Specification testing for transformation models with an application to generalized accelerated failure-time models,"
Journal of Econometrics, Elsevier, vol. 184(1), pages 81-96.
- Arthur Lewbel & Xun Lu & Liangjun Su, 2012. "Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models," Boston College Working Papers in Economics 817, Boston College Department of Economics, revised 01 May 2013.
- Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
- Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2017.
"Non-separable Models with High-dimensional Data,"
Economics and Statistics Working Papers
15-2017, Singapore Management University, School of Economics.
- Su, Liangjun & Ura, Takuya & Zhang, Yichong, 2019. "Non-separable models with high-dimensional data," Journal of Econometrics, Elsevier, vol. 212(2), pages 646-677.
- Rothe, Christoph, 2009. "Identification of Unconditional Partial Effects in Non Separable Models," TSE Working Papers 09-054, Toulouse School of Economics (TSE).
- Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
- Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
- Liangjun Su & Yundong Tu & Aman Ullah, 2015. "Testing Additive Separability of Error Term in Nonparametric Structural Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1057-1088, December.
- Zequn Jin & Lihua Lin & Zhengyu Zhang, 2022. "Identification and Auto-debiased Machine Learning for Outcome Conditioned Average Structural Derivatives," Papers 2211.07903, arXiv.org.
- Oliver Linton & Ji-Liang Shiu, 2018.
"Semiparametric nonlinear panel data models with measurement error,"
CeMMAP working papers
CWP09/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Linton, O. & Shiu, J-L., 2019. "Semiparametric Nonlinear Panel Data Models with Measurement Error," Cambridge Working Papers in Economics 1906, Faculty of Economics, University of Cambridge.
- Maes, Sebastiaan & Malhotra, Raghav, 2024. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," CRETA Online Discussion Paper Series 84, Centre for Research in Economic Theory and its Applications CRETA.
- Osmani, Ahmad Reshad, 2020.
"Conditional Cash Incentive and Use of Health Care Services: New Evidence from a Household Experiment,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
- Ahmad Reshad Osmani, 2021. "Conditional Cash Incentive and Use of Health Care Services: New Evidence from a Household Experiment," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 518-532, September.
- Schennach, Susanne & White, Halbert & Chalak, Karim, 2012.
"Local indirect least squares and average marginal effects in nonseparable structural systems,"
Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
- Susanne Schennach & Halbert White & Karim Chalak, 2007. "Local Indirect Least Squares and Average Marginal Effects in Nonseparable Structural Systems," Boston College Working Papers in Economics 680, Boston College Department of Economics, revised 26 Dec 2009.
- Stefan Hoderlein & Bettina Siflinger & Joachim Winter, 2015. "Identification of structural models in the presence of measurement error due to rounding in survey responses," Boston College Working Papers in Economics 869, Boston College Department of Economics.
- Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
- Chalak, Karim, 2019. "A note on the robustness of quantile treatment effect estimands," Economics Letters, Elsevier, vol. 185(C).
- Kasy, Maximilian, 2022. "Who wins, who loses? Identification of conditional causal effects, and the welfare impact of changing wages," Journal of Econometrics, Elsevier, vol. 226(1), pages 155-170.
- Karim Chalak & Halbert White, 2007. "An Extended Class of Instrumental Variables for the Estimation of Causal Effects," Boston College Working Papers in Economics 692, Boston College Department of Economics, revised 30 Nov 2009.
- Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
- Feve, Frederique & Florens, Jean-Pierre & Van Keilegom, Ingrid, 2012. "Estimation of conditional ranks and tests of exogeneity in nonparametric nonseparable models," LIDAM Discussion Papers ISBA 2012036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jinyong Hahn & Geert Ridder, 2011. "Conditional Moment Restrictions and Triangular Simultaneous Equations," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 683-689, May.
- Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
- Giovanni Forchini, 2014. "A General Result on Observational Equivalence in a Class of Nonparametric Structural Equations Models," School of Economics Discussion Papers 0114, School of Economics, University of Surrey.
- Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
- David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
- Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
- Halbert White & Karim Chalak, 2008. "Identifying Structural Effects in Nonseparable Systems Using Covariates," Boston College Working Papers in Economics 734, Boston College Department of Economics.
- Rothe, Christoph, 2010. "Identification of unconditional partial effects in nonseparable models," Economics Letters, Elsevier, vol. 109(3), pages 171-174, December.
- Santiago Pereda Fernández, 2016. "Estimation of counterfactual distributions with a continuous endogenous treatment," Temi di discussione (Economic working papers) 1053, Bank of Italy, Economic Research and International Relations Area.
- Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.
- Stefan Hoderlein & Yuya Sasaki, 2013.
"Outcome Conditioned Treatment Effects,"
Boston College Working Papers in Economics
840, Boston College Department of Economics.
- O. Linton & E. Mammen, 2005.
"Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods,"
Econometrica, Econometric Society, vol. 73(3), pages 771-836, May.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 58068, London School of Economics and Political Science, LSE Library.
Cited by:
- Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2012. "A nonparametric test of the leverage hypothesis," CeMMAP working papers CWP24/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
- Xilong Chen & Eric Ghysels, 2011. "News--Good or Bad--and Its Impact on Volatility Predictions over Multiple Horizons," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 46-81, October.
- Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
- Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2012. "A nonparametric test of the leverage hypothesis," CeMMAP working papers 24/12, Institute for Fiscal Studies.
- Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Degui Li & Zudi Lu & Oliver Linton, 2011.
"Local Linear Fitting Under Near Epoch Dependence: Uniform consistency with Convergence Rates,"
Monash Econometrics and Business Statistics Working Papers
16/11, Monash University, Department of Econometrics and Business Statistics.
- Li, Degui & Lu, Zudi & Linton, Oliver, 2012. "Local Linear Fitting Under Near Epoch Dependence: Uniform Consistency With Convergence Rates," Econometric Theory, Cambridge University Press, vol. 28(5), pages 935-958, October.
- Christis Katsouris, 2023. "Quantile Time Series Regression Models Revisited," Papers 2308.06617, arXiv.org, revised Aug 2023.
- Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
- Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Hidalgo, Javier & Zaffaroni, Paolo, 2007.
"A goodness-of-fit test for ARCH([infinity]) models,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 835-875, December.
- Hidalgo, Javier & Zaffaroni, Paolo, 2007. "A goodness-of-fit test for ARCH([infinity]) models," Journal of Econometrics, Elsevier, vol. 141(2), pages 973-1013, December.
- Linton, Oliver B. & Mammen, Enno, 2008.
"Nonparametric transformation to white noise,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
- Oliver Linton & Enno Mammen, 2006. "Nonparametric Transformation to White Noise," STICERD - Econometrics Paper Series 503, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2006. "Nonparametric transformation to white noise," LSE Research Online Documents on Economics 4426, London School of Economics and Political Science, LSE Library.
- Yu, Jun, 2012.
"A semiparametric stochastic volatility model,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
- Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Stanislav Anatolyev, 2005.
"Optimal Instruments in Time Series: A Survey,"
Working Papers
w0069, Center for Economic and Financial Research (CEFIR).
- Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, New Economic School (NES).
- Stanislav Anatolyev, 2007. "Optimal Instruments In Time Series: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 143-173, February.
- Gregory Connor & Oliver Linton & Matthias Hagmann, 2007.
"Efficient Estimation of a Semiparametric Characteristic-Based Factor Model of Security Returns,"
FMG Discussion Papers
dp599, Financial Markets Group.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 3775, London School of Economics and Political Science, LSE Library.
- Connor, Gregory & Hagmann, Matthias & Linton, Oliver, 2007. "Efficient estimation of a semiparametric characteristic-based factor model of security returns," LSE Research Online Documents on Economics 24504, London School of Economics and Political Science, LSE Library.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a SemiparametricCharacteristic-Based Factor Model of Security Returns," STICERD - Econometrics Paper Series 524, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a Semiparametric Characteristic- Based Factor Model of Security Returns," Swiss Finance Institute Research Paper Series 07-26, Swiss Finance Institute.
- Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
- Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2013. "A nonparametric test of a strong leverage hypothesis," CeMMAP working papers 28/13, Institute for Fiscal Studies.
- Peter Malec, 2016. "A Semiparametric Intraday GARCH Model," Cambridge Working Papers in Economics 1633, Faculty of Economics, University of Cambridge.
- HAFNER, Christian & PREMINGER, Arie, 2016.
"On Asymptotic Theory for ARCH(infinite) Models,"
LIDAM Discussion Papers CORE
2016030, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Christian M. Hafner & Arie Preminger, 2017. "On asymptotic theory for ARCH([infinite]) models," LIDAM Reprints CORE 2917, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Hafner, Christian & Preminger, Arie, 2017. "On Asymptotic Theory for ARCH (infinity) Models," LIDAM Reprints ISBA 2017041, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian & Preminger, Arie, 2017. "On asymptotic theory for ARCH(infinite) models," LIDAM Discussion Papers ISBA 2017009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Degui Li & Oliver Linton & Zudi Lu, 2012.
"A flexible semiparametric model for time series,"
CeMMAP working papers
CWP28/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A Flexible Semiparametric Model for Time Series," Monash Econometrics and Business Statistics Working Papers 17/12, Monash University, Department of Econometrics and Business Statistics.
- Degui Li & Oliver Linton & Zudi Lu, 2012. "A flexible semiparametric model for time series," CeMMAP working papers 28/12, Institute for Fiscal Studies.
- Heejoon Han & Shen Zhang, 2012. "Non‐stationary non‐parametric volatility model," Econometrics Journal, Royal Economic Society, vol. 15(2), pages 204-225, June.
- Chen, Xiaohong & Huang, Zhuo & Yi, Yanping, 2021. "Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models," Journal of Econometrics, Elsevier, vol. 222(1), pages 484-501.
- Linton, O. & Xiao, Z., 2019.
"Efficient Estimation of Nonparametric Regression in The Presence of Dynamic Heteroskedasticity,"
Cambridge Working Papers in Economics
1907, Faculty of Economics, University of Cambridge.
- Linton, Oliver & Xiao, Zhijie, 2019. "Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(2), pages 608-631.
- Songhua Tan & Qianqian Zhu, 2022. "Asymmetric linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 371-388, May.
- Degui Li & Oliver Linton & Zudi Lu, 2010.
"Loch Linear Fitting under Near Epoch Dependence: Uniform Consistency with Convergence Rate,"
STICERD - Econometrics Paper Series
549, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Li, Degui & Lu, Zudi & Linton, Oliver, 2010. "Loch linear fitting under near epoch dependence: uniform consistency with convergence rate," LSE Research Online Documents on Economics 58160, London School of Economics and Political Science, LSE Library.
- Xiaohong Chen & Zhuo Huang & Yanping Yi, 2019. "Efficient Estimation of Multivariate Semi-nonparametric GARCH Filtered Copula Models," Cowles Foundation Discussion Papers 2215, Cowles Foundation for Research in Economics, Yale University.
- Perron, Benoit, 2004. "Détection non paramétrique de sauts dans la volatilité des marchés financiers," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 229-251, Juin-Sept.
- Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
- Hou, Ai Jun, 2013. "Asymmetry effects of shocks in Chinese stock markets volatility: A generalized additive nonparametric approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 12-32.
- Royer, Julien, 2021. "Conditional asymmetry in Power ARCH($\infty$) models," MPRA Paper 109118, University Library of Munich, Germany.
- Matthieu Garcin & Clément Goulet, 2015. "Non-parameteric news impact curve: a variational approach," Documents de travail du Centre d'Economie de la Sorbonne 15086r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jul 2016.
- Linton, Oliver & Srisuma, Sorawoot, 2010.
"Semiparametric estimation of Markov decision processeswith continuous state space,"
LSE Research Online Documents on Economics
58187, London School of Economics and Political Science, LSE Library.
- Srisuma, Sorawoot & Linton, Oliver, 2012. "Semiparametric estimation of Markov decision processes with continuous state space," Journal of Econometrics, Elsevier, vol. 166(2), pages 320-341.
- Oliver Linton & Sorawoot Srisuma, 2010. "Semiparametric Estimation of Markov Decision Processeswith Continuous State Space," STICERD - Econometrics Paper Series 550, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Woocheol Kim, 2004. "Identification And Estimation Of Nonparametric Structural," Econometric Society 2004 Far Eastern Meetings 733, Econometric Society.
- Wilson Ye Chen & Richard H. Gerlach, 2017. "Semiparametric GARCH via Bayesian model averaging," Papers 1708.07587, arXiv.org.
- Linton, Oliver & Whang, Yoon-Jae & Yen, Yu-Min, 2016.
"A nonparametric test of a strong leverage hypothesis,"
Journal of Econometrics, Elsevier, vol. 194(1), pages 153-186.
- Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2013. "A nonparametric test of a strong leverage hypothesis," CeMMAP working papers CWP28/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Dahl Christian M & Iglesias Emma, 2011.
"Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary,"
Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
- Christian M. Dahl & Emma M. Iglesias, 2009. "Modelling the Volatility-Return Trade-off when Volatility may be Nonstationary," CREATES Research Papers 2009-59, Department of Economics and Business Economics, Aarhus University.
- Dag Tjøstheim, 2012. "Rejoinder on: Some recent theory for autoregressive count time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 469-476, September.
- Matthieu Garcin & Clément Goulet, 2015. "Non-parameteric news impact curve: a variational approach," Documents de travail du Centre d'Economie de la Sorbonne 15086rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Feb 2017.
- Muhammad Surajo Sanusi, 2017. "Investigating the sources of Black’s leverage effect in oil and gas stocks," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1318812-131, January.
- Zaffaroni, Paolo, 2009. "Whittle estimation of EGARCH and other exponential volatility models," Journal of Econometrics, Elsevier, vol. 151(2), pages 190-200, August.
- Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
- Li, Degui & Linton, Oliver & Lu, Zudi, 2015. "A flexible semiparametric forecasting model for time series," Journal of Econometrics, Elsevier, vol. 187(1), pages 345-357.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2004.
"Bootstrap Inference In Semiparametric Generalized Additive Models,"
Econometric Theory, Cambridge University Press, vol. 20(2), pages 265-300, April.
See citations under working paper version above.
- Hardle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2000. "Bootstrap inference in semiparametric generalized additive models," DES - Working Papers. Statistics and Econometrics. WS 10079, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Härdle, Wolfgang & Huet, Sylvie & Mammen, Enno & Sperlich, Stefan, 2001. "Bootstrap Inference in Semiparametric Generalized Additive Models," Finance Working Papers 01-3, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Xiao Z. & Linton O.B. & Carroll R.J. & Mammen E., 2003.
"More Efficient Local Polynomial Estimation in Nonparametric Regression With Autocorrelated Errors,"
Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 980-992, January.
Cited by:
- Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
- David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006.
"Identification and Nonparametric Estimation of a Transformed Additively Separable Model,"
Boston College Working Papers in Economics
652, Boston College Department of Economics, revised 26 Nov 2008.
- Jacho-Chávez, David & Lewbel, Arthur & Linton, Oliver, 2010. "Identification and nonparametric estimation of a transformed additively separable model," Journal of Econometrics, Elsevier, vol. 156(2), pages 392-407, June.
- Jacho-Chávez, David & Lewbel, Arthur & Linton, Oliver, 2006. "Identification and nonparametric estimation of a transformed additively separable model," LSE Research Online Documents on Economics 4416, London School of Economics and Political Science, LSE Library.
- Dabo-Niang, S. & Guillas, S. & Ternynck, C., 2016. "Efficiency in multivariate functional nonparametric models with autoregressive errors," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 168-182.
- Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.
- Linton, Oliver B. & Mammen, Enno, 2008.
"Nonparametric transformation to white noise,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
- Oliver Linton & Enno Mammen, 2006. "Nonparametric Transformation to White Noise," STICERD - Econometrics Paper Series 503, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2006. "Nonparametric transformation to white noise," LSE Research Online Documents on Economics 4426, London School of Economics and Political Science, LSE Library.
- Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
- Aneiros-Perez, G. & Vilar-Fernandez, J.M., 2008. "Local polynomial estimation in partial linear regression models under dependence," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2757-2777, January.
- Juliane Geller & Michael H. Neumann, 2018. "Improved local polynomial estimation in time series regression," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-27, January.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
- Alan T. K. Wan & Jinhong You & Riquan Zhang, 2016. "A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 894-928, May.
- Ozabaci, Deniz & Henderson, Daniel J., 2014.
"Additive Kernel Estimates of Returns to Schooling,"
IZA Discussion Papers
8736, Institute of Labor Economics (IZA).
- Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
- Bingduo Yang & Xiaohui Liu & Liang Peng & Zongwu Cai, 2018. "Unified Tests for a Dynamic Predictive Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201808, University of Kansas, Department of Economics, revised Sep 2018.
- You, Jinhong & Zhou, Xian, 2006. "Statistical inference in a panel data semiparametric regression model with serially correlated errors," Journal of Multivariate Analysis, Elsevier, vol. 97(4), pages 844-873, April.
- Martins-Filho, Carlos & Yao, Feng, 2009. "Nonparametric regression estimation with general parametric error covariance," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 309-333, March.
- Linton, O. & Xiao, Z., 2019.
"Efficient Estimation of Nonparametric Regression in The Presence of Dynamic Heteroskedasticity,"
Cambridge Working Papers in Economics
1907, Faculty of Economics, University of Cambridge.
- Linton, Oliver & Xiao, Zhijie, 2019. "Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity," Journal of Econometrics, Elsevier, vol. 213(2), pages 608-631.
- Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
- Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
- Degao Li & Guodong Li & Jinhong You, 2014. "Significant Variable Selection And Autoregressive Order Determination For Time-Series Partially Linear Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 478-490, August.
- Liu, Jun M. & Chen, Rong & Yao, Qiwei, 2010. "Nonparametric transfer function models," Journal of Econometrics, Elsevier, vol. 157(1), pages 151-164, July.
- Xuemei Hu & Xiaohui Liu, 2013. "Empirical likelihood confidence regions for semi-varying coefficient models with linear process errors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(1), pages 161-180, March.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Cai, Zongwu, 2007. "Trending time-varying coefficient time series models with serially correlated errors," Journal of Econometrics, Elsevier, vol. 136(1), pages 163-188, January.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Longer-Term Forecasting of Excess Stock Returns—The Five-Year Case," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
- Margherita Gerolimetto & Stefano Magrini, 2016. "Distribution Dynamics in the US. A Spatial Perspective," Working Papers 2016:02, Department of Economics, University of Venice "Ca' Foscari".
- Su, Liangjun & Ullah, Aman, 2008. "Local polynomial estimation of nonparametric simultaneous equations models," Journal of Econometrics, Elsevier, vol. 144(1), pages 193-218, May.
- Qiu, Jia & Li, Degao & You, Jinhong, 2015. "SCAD-penalized regression for varying-coefficient models with autoregressive errors," Journal of Multivariate Analysis, Elsevier, vol. 137(C), pages 100-118.
- Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers 2020-20, University of Graz, Department of Economics.
- Liangjun Su & Aman Ullah & Yun Wang, 2013. "Nonparametric regression estimation with general parametric error covariance: a more efficient two-step estimator," Empirical Economics, Springer, vol. 45(2), pages 1009-1024, October.
- Enno Mammen, 2003.
"Generalised structured models,"
Biometrika, Biometrika Trust, vol. 90(3), pages 551-566, September.
Cited by:
- Enno Mammen & Byeong U. Park & Melanie Schienle, 2012. "Additive Models: Extensions and Related Models," SFB 649 Discussion Papers SFB649DP2012-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Roca-Pardinas, Javier & Sperlich, Stefan, 2007. "Testing the link when the index is semiparametric--a comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6565-6581, August.
- Berthold R. Haag, 2008. "Non‐parametric Regression Tests Using Dimension Reduction Techniques," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 719-738, December.
- Huang, Zhensheng & Zhang, Riquan, 2009. "Efficient estimation of adaptive varying-coefficient partially linear regression model," Statistics & Probability Letters, Elsevier, vol. 79(7), pages 943-952, April.
- Stefan Sperlich, 2009. "Comments on: A review on empirical likelihood methods for regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(3), pages 448-451, November.
- Guo, Zheng-Feng & Shintani, Mototsugu, 2011. "Nonparametric lag selection for nonlinear additive autoregressive models," Economics Letters, Elsevier, vol. 111(2), pages 131-134, May.
- Stefan Sperlich & Raoul Theler, 2015. "Modeling heterogeneity: a praise for varying-coefficient models in causal analysis," Computational Statistics, Springer, vol. 30(3), pages 693-718, September.
- Mammen, Enno & Martínez Miranda, María Dolores & Nielsen, Jens Perch, 2015. "In-sample forecasting applied to reserving and mesothelioma mortality," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 76-86.
- Carroll, Raymond J. & Härdle, Wolfgang & Mammen, Enno, 2002.
"Estimation In An Additive Model When The Components Are Linked Parametrically,"
Econometric Theory, Cambridge University Press, vol. 18(4), pages 886-912, August.
Cited by:
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Oliver Linton & Enno Mammen, 2003. "Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 453, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (8) models by kernel smoothing methods," LSE Research Online Documents on Economics 2187, London School of Economics and Political Science, LSE Library.
- Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
- Holger Dette & Matthias Guhlich & Natalie Neumeyer, 2015. "Testing for additivity in nonparametric quantile regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(3), pages 437-477, June.
- Dette, Holger & Pardo-Fernandez, Juan Carlos & van Keilegom, Ingrid, 2007.
"Goodness-of-fit tests for multiplicativemodels with dependent data,"
Technical Reports
2007,34, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Holger Dette & Juan Carlos Pardo‐Fernández & Ingrid Van Keilegom, 2009. "Goodness‐of‐Fit Tests for Multiplicative Models with Dependent Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(4), pages 782-799, December.
- Ming Chen & Qiongxia Song, 2016. "Semi-parametric estimation and forecasting for exogenous log-GARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 93-112, March.
- Yang, Lijian, 2006. "A semiparametric GARCH model for foreign exchange volatility," Journal of Econometrics, Elsevier, vol. 130(2), pages 365-384, February.
- Linton, Oliver & Mammen, Enno, 2004. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 24762, London School of Economics and Political Science, LSE Library.
- O. Linton & E. Mammen, 2005.
"Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods,"
Econometrica, Econometric Society, vol. 73(3), pages 771-836, May.
- Linton, Oliver & Mammen, Enno, 2003. "Estimating semiparametric ARCH (∞) models by kernel smoothing methods," LSE Research Online Documents on Economics 58068, London School of Economics and Political Science, LSE Library.
- Francesco Audrino, 2005. "Local Likelihood for non‐parametric ARCH(1) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 251-278, March.
- Wilson Ye Chen & Richard H. Gerlach, 2017. "Semiparametric GARCH via Bayesian model averaging," Papers 1708.07587, arXiv.org.
- Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
- Martins-Filho Carlos & Yao Feng, 2006. "Estimation of Value-at-Risk and Expected Shortfall based on Nonlinear Models of Return Dynamics and Extreme Value Theory," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-43, May.
- Enno Mammen & Oliver Linton, 2004.
"Estimating Semiparametric ARCH Models by Kernel Smoothing Methods,"
FMG Discussion Papers
dp511, Financial Markets Group.
- Linton, Oliver & Mammen, Enno & Nielsen, Jans Perch & Tanggaard, Carsten, 2001.
"Yield curve estimation by kernel smoothing methods,"
Journal of Econometrics, Elsevier, vol. 105(1), pages 185-223, November.
See citations under working paper version above.
- Oliver B. Linton & Enno Mammen & J. Nielsen & Carsten Tanggaard, 2000. "Yield Curve Estimation by Kernel Smoothing Methods," Econometric Society World Congress 2000 Contributed Papers 0235, Econometric Society.
- Oliver Linton & Enno Mammen & Jens Perch Nielsen & C Tanggaard, 2000. "Yield Curve Estimation by Kernel Smoothing Methods," STICERD - Econometrics Paper Series 385, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Mammen, Enno & Perch Nielsen, Jens & Tanggaard, C, 2000. "Yield curve estimation by kernel smoothing methods," LSE Research Online Documents on Economics 2270, London School of Economics and Political Science, LSE Library.
- Gérard Kerkyacharian & Dominique Picard & Lucien Birgé & Peter Hall & Oleg Lepski & Enno Mammen & Alexandre Tsybakov & G. Kerkyacharian & D. Picard, 2000.
"Thresholding algorithms, maxisets and well-concentrated bases,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(2), pages 283-344, December.
Cited by:
- Chesneau, Christophe, 2008. "On the maxiset comparison between hard and block thresholding methods," Statistics & Probability Letters, Elsevier, vol. 78(6), pages 675-681, April.
- Autin, Florent & Freyermuth, Jean-Marc & von Sachs, Rainer, 2011. "Combining thresholding rules: a new way to improve the performance of wavelet estimators," LIDAM Discussion Papers ISBA 2011021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Peng, Jingfu, 2023. "Adaptive and efficient estimation in the Gaussian sequence model," Statistics & Probability Letters, Elsevier, vol. 195(C).
- Aminghafari, Mina & Cheze, Nathalie & Poggi, Jean-Michel, 2006. "Multivariate denoising using wavelets and principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2381-2398, May.
- Rivoirard, Vincent, 2004. "Maxisets for linear procedures," Statistics & Probability Letters, Elsevier, vol. 67(3), pages 267-275, April.
- F. Autin & J.-M. Freyermuth & R. von Sachs, 2012. "Combining thresholding rules: a new way to improve the performance of wavelet estimators," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 905-922, December.
- Chesneau, Christophe, 2007. "Regression with random design: A minimax study," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 40-53, January.
- Durastanti, Claudio, 2016. "Adaptive global thresholding on the sphere," Journal of Multivariate Analysis, Elsevier, vol. 151(C), pages 110-132.
- Durastanti, Claudio & Geller, Daryl & Marinucci, Domenico, 2012. "Adaptive nonparametric regression on spin fiber bundles," Journal of Multivariate Analysis, Elsevier, vol. 104(1), pages 16-38, February.
- E. Mammen & C. Thomas‐Agnan, 1999.
"Smoothing Splines and Shape Restrictions,"
Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(2), pages 239-252, June.
- Mammen, Enno & Thomas-Agnan, C., 1996. "Smoothing Splines And Shape Restrictions," SFB 373 Discussion Papers 1996,87, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
Cited by:
- Wu, Ximing & Sickles, Robin, 2018.
"Semiparametric estimation under shape constraints,"
Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
- Wu, Ximing & Sickles, Robin, 2014. "Semiparametric Estimation under Shape Constraints," Working Papers 15-021, Rice University, Department of Economics.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 14/17, Institute for Fiscal Studies.
- Hazelton, Martin L. & Turlach, Berwin A., 2011. "Semiparametric regression with shape-constrained penalized splines," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2871-2879, October.
- Ait-Sahalia, Yacine & Duarte, Jefferson, 2003.
"Nonparametric option pricing under shape restrictions,"
Journal of Econometrics, Elsevier, vol. 116(1-2), pages 9-47.
- Yacine Ait-Sahalia & Jefferson Duarte, 2002. "Nonparametric Option Pricing under Shape Restrictions," NBER Working Papers 8944, National Bureau of Economic Research, Inc.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2015.
"Nonparametric estimation and inference under shape restrictions,"
CeMMAP working papers
CWP67/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2016. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers CWP29/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Horowitz, Joel L. & Lee, Sokbae, 2017. "Nonparametric estimation and inference under shape restrictions," Journal of Econometrics, Elsevier, vol. 201(1), pages 108-126.
- Gianluca Cassese, 2014.
"Option pricing in an imperfect world,"
Working Papers
277, University of Milano-Bicocca, Department of Economics, revised Jun 2014.
- Gianluca Cassese, 2014. "Option Pricing in an Imperfect World," Papers 1406.0412, arXiv.org, revised Sep 2016.
- Eduardo L. Montoya & Wendy Meiring, 2016. "An F-type test for detecting departure from monotonicity in a functional linear model," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(2), pages 322-337, June.
- Gianluca Cassese, 2019. "Nonparametric Estimates Of Option Prices And Related Quantities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-29, November.
- Hall, Peter & Yatchew, Adonis, 2005. "Unified approach to testing functional hypotheses in semiparametric contexts," Journal of Econometrics, Elsevier, vol. 127(2), pages 225-252, August.
- Canale, Antonio & Vantini, Simone, 2016. "Constrained functional time series: Applications to the Italian gas market," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1340-1351.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers 67/15, Institute for Fiscal Studies.
- Pang Du & Christopher F. Parmeter & Jeffrey S. Racine, 2012. "Nonparametric Kernel Regression with Multiple Predictors and Multiple Shape Constraints," Department of Economics Working Papers 2012-08, McMaster University.
- Timo Kuosmanen & Andrew L. Johnson, 2010. "Data Envelopment Analysis as Nonparametric Least-Squares Regression," Operations Research, INFORMS, vol. 58(1), pages 149-160, February.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 48/16, Institute for Fiscal Studies.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2016. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers 29/16, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017.
"Nonparametric instrumental variable estimation under monotonicity,"
CeMMAP working papers
CWP14/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2017. "Nonparametric Instrumental Variable Estimation Under Monotonicity," Econometrica, Econometric Society, vol. 85, pages 1303-1320, July.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP39/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2016. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers CWP48/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," Papers 1507.05270, arXiv.org.
- Gianluca Cassese, 2015.
"Nonparametric Estimates of Option Prices Using Superhedging,"
Working Papers
293, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
- Gianluca Cassese, 2015. "Non Parametric Estimates of Option Prices Using Superhedging," Papers 1502.03978, arXiv.org.
- Matthias R. Fengler, 2005.
"Arbitrage-Free Smoothing of the Implied Volatility Surface,"
SFB 649 Discussion Papers
SFB649DP2005-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Matthias Fengler, 2009. "Arbitrage-free smoothing of the implied volatility surface," Quantitative Finance, Taylor & Francis Journals, vol. 9(4), pages 417-428.
- Tatiana Komarova & Javier Hidalgo, 2019. "Testing nonparametric shape restrictions," Papers 1909.01675, arXiv.org, revised Jun 2020.
- Ana Colubi & J. Santos Dominguez-Menchero & Gil Gonzalez-Rodriguez, 2018. "New designs to consistently estimate the isotonic regression," Computational Statistics, Springer, vol. 33(2), pages 639-658, June.
- Fengler, Matthias R. & Hin, Lin-Yee, 2015. "Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints," Journal of Econometrics, Elsevier, vol. 184(2), pages 242-261.
- Christophe Abraham & Khader Khadraoui, 2015. "Bayesian regression with B-splines under combinations of shape constraints and smoothness properties," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(2), pages 150-170, May.
- Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022.
"Cost, Revenue, and Profit Function Estimates,"
Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679,
Springer.
- Kutlu, Levent & Liu, Shasha & Sickles, Robin C., 2018. "Cost, Revenue, and Profit Function Estimates," Working Papers 18-006, Rice University, Department of Economics.
- Komarova, Tatiana & Hidalgo, Javier, 2023. "Testing nonparametric shape restrictions," LSE Research Online Documents on Economics 121410, London School of Economics and Political Science, LSE Library.
- Bhattacharjee, Arnab, 2004.
"Estimation in hazard regression models under ordered departures from proportionality,"
Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 517-536, October.
- Bhattacharjee, A., 2003. "Estimation in Hazard Regression Models under Ordered Departures from Proportionality," Cambridge Working Papers in Economics 0337, Faculty of Economics, University of Cambridge.
- Rossini, Jacopo & Canale, Antonio, 2019. "Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints," Journal of Multivariate Analysis, Elsevier, vol. 170(C), pages 221-231.
- Dette, Holger & Neumeyer, Natalie & Pilz, Kay F., 2003. "A simple nonparametric estimator of a monotone regression function," Technical Reports 2003,26, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Antoniadis, Anestis & Bigot, Jéremie & Gijbels, Irène, 2007. "Penalized wavelet monotone regression," Statistics & Probability Letters, Elsevier, vol. 77(16), pages 1608-1621, October.
- Dette, Holger & Birke, Melanie, 2005. "A note on estimating a monotone regression by combining kernel and density estimates," Technical Reports 2005,24, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Denis Chetverikov & Daniel Wilhelm, 2015. "Nonparametric instrumental variable estimation under monotonicity," CeMMAP working papers 39/15, Institute for Fiscal Studies.
- Lee, Chia-Yen & Johnson, Andrew L. & Moreno-Centeno, Erick & Kuosmanen, Timo, 2013. "A more efficient algorithm for Convex Nonparametric Least Squares," European Journal of Operational Research, Elsevier, vol. 227(2), pages 391-400.
- Mary Meyer & Amber Hackstadt & Jennifer Hoeting, 2011. "Bayesian estimation and inference for generalised partial linear models using shape-restricted splines," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(4), pages 867-884.
- Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
- Duc Devroye & J. Beirlant & R. Cao & R. Fraiman & P. Hall & M. Jones & Gábor Lugosi & E. Mammen & J. Marron & C. Sánchez-Sellero & J. Uña & F. Udina & L. Devroye, 1997.
"Universal smoothing factor selection in density estimation: theory and practice,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 6(2), pages 223-320, December.
Cited by:
- Ann-Kathrin Bott & Michael Kohler, 2016. "Adaptive Estimation of a Conditional Density," International Statistical Review, International Statistical Institute, vol. 84(2), pages 291-316, August.
- Luc Devroye & Gábor Lugosi & Frederic Udina, 1998. "Inequalities for a new data-based method for selecting nonparametric density estimates," Economics Working Papers 281, Department of Economics and Business, Universitat Pompeu Fabra.
- Langrené, Nicolas & Warin, Xavier, 2021. "Fast multivariate empirical cumulative distribution function with connection to kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 162(C).
- Luc Devroye & Gábor Lugosi, 1998. "Variable Kernel estimates: On the impossibility of tuning the parameters," Economics Working Papers 325, Department of Economics and Business, Universitat Pompeu Fabra.
- Nils-Bastian Heidenreich & Anja Schindler & Stefan Sperlich, 2013. "Bandwidth selection for kernel density estimation: a review of fully automatic selectors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 403-433, October.
- Biau, Gérard & Devroye, Luc, 2005. "Density estimation by the penalized combinatorial method," Journal of Multivariate Analysis, Elsevier, vol. 94(1), pages 196-208, May.
- J. Liao & Yujun Wu & Yong Lin, 2010. "Improving Sheather and Jones’ bandwidth selector for difficult densities in kernel density estimation," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(1), pages 105-114.
- Horová Ivana & Vieu Philippe & Zelinka Jiří, 2002. "Optimal Choice Of Nonparametric Estimates Of A Density And Of Its Derivatives," Statistics & Risk Modeling, De Gruyter, vol. 20(1-4), pages 355-378, April.
- Martínez-Camblor, Pablo & de Uña-Álvarez, Jacobo, 2009. "Non-parametric k-sample tests: Density functions vs distribution functions," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3344-3357, July.
- Cuevas, Antonio & Febrero, Manuel & Fraiman, Ricardo, 2001. "Cluster analysis: a further approach based on density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 36(4), pages 441-459, June.
- Miguel Reyes & Mario Francisco-Fernández & Ricardo Cao, 2017. "Bandwidth selection in kernel density estimation for interval-grouped data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 527-545, September.
- Pablo Martínez-Camblor & Jacobo Uña-Álvarez, 2013. "Studying the bandwidth in $$k$$ -sample smooth tests," Computational Statistics, Springer, vol. 28(2), pages 875-892, April.
- Fischer, N. I. & Mammen, E. & Marron, J. S., 1994.
"Testing for multimodality,"
Computational Statistics & Data Analysis, Elsevier, vol. 18(5), pages 499-512, December.
Cited by:
- Daniel J. Henderson & Christopher F. Parmeter & R. Robert Russell, 2008. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 607-638.
- Michael Minnotte, 2010. "Mode testing via higher-order density estimation," Computational Statistics, Springer, vol. 25(3), pages 391-407, September.
- K. P. Gluschenko, 2023.
"Regional Inequality in Russia: Anatomy of Convergence,"
Regional Research of Russia, Springer, vol. 13(1), pages 1-12, December.
- Gluschenko, Konstantin, 2021. "Regional inequality in Russia: Anatomy of convergence," MPRA Paper 108756, University Library of Munich, Germany.
- Pedro Delicado & Juan Romo, 1999.
"Goodness of Fit Tests in Random Coefficient Regression Models,"
Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 51(1), pages 125-148, March.
- Delicado, Pedro & Romo, Juan, 1994. "Goodness of fit tests in random coefficient regression models," DES - Working Papers. Statistics and Econometrics. WS 3962, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2021. "Bayes estimates of multimodal density features using DNA and Economic Data," Tinbergen Institute Discussion Papers 21-017/III, Tinbergen Institute.
- Russell Davidson & James G. MacKinnon, 1994.
"Graphical Methods for Investigating the Size and Power of Hypothesis Tests,"
Working Paper
903, Economics Department, Queen's University.
- Davidson, Russell & MacKinnon, James G, 1998. "Graphical Methods for Investigating the Size and Power of Hypothesis Tests," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(1), pages 1-26, January.
- Neumann, G.R. & Lanot, G., 1996.
"Measuring Productivity Differences in Equilibrium Search Models,"
Working Papers
96-08, University of Iowa, Department of Economics.
- Gathier Lanot & George Neumann, 1996. "Measuring Productivity Differences in Equilibrium Search Models," Econometrics 9606003, University Library of Munich, Germany.
- Lanot, G & Neumann, G-R, 1996. "Measuring Productivity Differences in Equilibrium Search Models," Papers 96-12, Centre for Labour Market and Social Research, Danmark-.
- Bhattacharjee, Arnab, 2004.
"Estimation in hazard regression models under ordered departures from proportionality,"
Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 517-536, October.
- Bhattacharjee, A., 2003. "Estimation in Hazard Regression Models under Ordered Departures from Proportionality," Cambridge Working Papers in Economics 0337, Faculty of Economics, University of Cambridge.
- Obereder, Andreas & Scherzer, Otmar & Kovac, Arne, 2007. "Bivariate density estimation using BV regularisation," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5622-5634, August.
- Tiee-Jian Wu & Chih-Yuan Hsu & Huang-Yu Chen & Hui-Chun Yu, 2014. "Root $$n$$ n estimates of vectors of integrated density partial derivative functionals," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 66(5), pages 865-895, October.
- Hajo Holzmann & Sebastian Vollmer, 2008. "A likelihood ratio test for bimodality in two-component mixtures with application to regional income distribution in the EU," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 57-69, February.
- Mammen, Enno, 1990.
"A short note on optimal bandwidth selection for kernel estimators,"
Statistics & Probability Letters, Elsevier, vol. 9(1), pages 23-25, January.
Cited by:
- Abberger, Klaus, 2001. "Penalizing function based bandwidth choice in nonparametric quantile regression," CoFE Discussion Papers 01/10, University of Konstanz, Center of Finance and Econometrics (CoFE).
- Duc Devroye & J. Beirlant & R. Cao & R. Fraiman & P. Hall & M. Jones & Gábor Lugosi & E. Mammen & J. Marron & C. Sánchez-Sellero & J. Uña & F. Udina & L. Devroye, 1997. "Universal smoothing factor selection in density estimation: theory and practice," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 6(2), pages 223-320, December.
- Berwin A. TURLACH, "undated". "Bandwidth selection in kernel density estimation: a rewiew," Statistic und Oekonometrie 9307, Humboldt Universitaet Berlin.
- Zhenyu Jiang & Nengxiang Ling & Zudi Lu & Dag Tj⊘stheim & Qiang Zhang, 2020. "On bandwidth choice for spatial data density estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 817-840, July.
- Miguel Reyes & Mario Francisco-Fernández & Ricardo Cao, 2017. "Bandwidth selection in kernel density estimation for interval-grouped data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 527-545, September.
- Zudi Lu & Dag Johan Steinskog & Dag Tjøstheim & Qiwei Yao, 2009. "Adaptively varying‐coefficient spatiotemporal models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(4), pages 859-880, September.