Trimmed Mean Group Estimation
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Yoonseok Lee & Donggyu Sul, 2022. "Trimmed Mean Group Estimation," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, volume 43, pages 177-202, Emerald Group Publishing Limited.
References listed on IDEAS
- Stéphane Bonhomme & Elena Manresa, 2015.
"Grouped Patterns of Heterogeneity in Panel Data,"
Econometrica, Econometric Society, vol. 83(3), pages 1147-1184, May.
- Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
- Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
- Lee, Yoonseok & Mukherjee, Debasri & Ullah, Aman, 2019.
"Nonparametric estimation of the marginal effect in fixed-effect panel data models,"
Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 53-67.
- Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
- Pesaran, M. Hashem & Smith, Ron, 1995.
"Estimating long-run relationships from dynamic heterogeneous panels,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
- Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
- Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2016.
"Identifying Latent Structures in Panel Data,"
Econometrica, Econometric Society, vol. 84, pages 2215-2264, November.
- Liangjun Su & Zhentao Shi & Peter C.B. Phillips, 2014. "Identifying Latent Structures in Panel Data," Cowles Foundation Discussion Papers 1965, Cowles Foundation for Research in Economics, Yale University.
- Liangjun Su & Zhentao Shi & Peter C. B. Phillips, 2014. "Identifying Latent Structures in Panel Data," Working Papers 07-2014, Singapore Management University, School of Economics.
- Hashem Pesaran, M. & Yamagata, Takashi, 2008.
"Testing slope homogeneity in large panels,"
Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
- Pesaran, M.H. & Yamagata. T., 2005. "Testing Slope Homogeneity in Large Panels," Cambridge Working Papers in Economics 0513, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Takashi Yamagata, 2005. "Testing Slope Homogeneity in Large Panels," IEPR Working Papers 05.14, Institute of Economic Policy Research (IEPR).
- M. Hashem Pesaran & Takashi Yamagata, 2005. "Testing Slope Homogeneity in Large Panels," CESifo Working Paper Series 1438, CESifo.
- Murillo Campello & Antonio F. Galvao & Ted Juhl, 2019. "Testing for Slope Heterogeneity Bias in Panel Data Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 749-760, October.
- Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
- Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
- László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
- Chudik, Alexander & Pesaran, M. Hashem, 2015.
"Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors,"
Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
- Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Globalization Institute Working Papers 146, Federal Reserve Bank of Dallas.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
- M. Hashem Pesaran, 2006.
"Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure,"
Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
- M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
- Levitt, Steven D, 1997.
"Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime,"
American Economic Review, American Economic Association, vol. 87(3), pages 270-290, June.
- Steven D. Levitt, 1995. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Policeon Crime," NBER Working Papers 4991, National Bureau of Economic Research, Inc.
- Wallace, T D & Hussain, Ashiq, 1969. "The Use of Error Components Models in Combining Cross Section with Time Series Data," Econometrica, Econometric Society, vol. 37(1), pages 55-72, January.
- Ryan Greenaway‐McGrevy & Nelson C. Mark & Donggyu Sul & Jyh‐Lin Wu, 2018.
"Identifying Exchange Rate Common Factors,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2193-2218, November.
- Ryan Greenaway-McGrevy & Donggyu Sul & Nelson Mark & Jyh-Lin Wu, 2017. "Identifying Exchange Rate Common Factors," NBER Working Papers 23726, National Bureau of Economic Research, Inc.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
- Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
- Kazuhiko Hayakawa & Shuichi Nagata & Takashi Yamagata, 2018. "A robust approach to heteroskedasticity, error serial correlation and slope heterogeneity for large linear panel data models with interactive effects," ISER Discussion Paper 1037, Institute of Social and Economic Research, Osaka University.
- Okui, Ryo & Yanagi, Takahide, 2019.
"Panel data analysis with heterogeneous dynamics,"
Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
- Ryo Okui & Takahide Yanagi, 2014. "Panel Data Analysis with Heterogeneous Dynamics," KIER Working Papers 906, Kyoto University, Institute of Economic Research.
- Ryo Okui & Takahide Yanagi, 2018. "Panel Data Analysis with Heterogeneous Dynamics," Papers 1803.09452, arXiv.org, revised Jan 2019.
- Liddle, Brantley & Huntington, Hillard, 2021. "How prices, income, and weather shape household electricity demand in high-income and middle-income countries," Energy Economics, Elsevier, vol. 95(C).
- Muhammed BENLI, 2020. "The effect of external debt on long run economic growth in developing economies: Evidence from heterogeneous panel data models with cross sectional dependency," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(624), A), pages 127-138, Autumn.
- Jiti Gao & Kai Xia, 2017.
"Heterogeneous panel data models with cross-sectional dependence,"
Monash Econometrics and Business Statistics Working Papers
16/17, Monash University, Department of Econometrics and Business Statistics.
- Jiti Gao & Kai Xia & Huanjun Zhu, 2019. "Heterogeneous Panel Data Models with Cross-Sectional Dependence," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020. "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 219(2), pages 329-353.
- Nibbering, D. & Paap, R., 2019. "Panel Forecasting with Asymmetric Grouping," Econometric Institute Research Papers EI-2019-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Cem Ertur & Antonio Musolesi, 2017.
"Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
- Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
- Antonio Musolesi & Cem Ertur, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2015064, University of Ferrara, Department of Economics.
- Cem Ertur & Antonio Musolesi, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," SEEDS Working Papers 0415, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Feb 2015.
- Antonio Musolesi & Cem Ertur, 2016. "Weak and Strong Cross-Sectional Dependence: a Panel Data Analysis of International Technology Diffusion," Working Papers 2016035, University of Ferrara, Department of Economics.
- Cem Ertur & Antonio Musolesi, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," SEEDS Working Papers 1915, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2015.
- Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
- Cem ERTUR & Antonio MUSOLESI, 2013. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," LEO Working Papers / DR LEO 1961, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016.
"Estimation of heterogeneous panels with structural breaks,"
Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
- Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
- Masako Ikegami & Zijian Wang, 2024. "Does energy technology R&D save energy in OECD countries?," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-22, April.
- Elias Oikarinen & Steven C. Bourassa & Martin Hoesli & Janne Engblom, 2017.
"Revisiting the House Price-Income Relationship,"
LARES
lares_2017_paper_26, Latin American Real Estate Society (LARES).
- Elias Oikarinen & Steven Bourassa & Martin Hoesli & Janne Engblom, 2017. "Revisiting the House Price-Income Relationship," ERES eres2017_173, European Real Estate Society (ERES).
- Badi H. Baltagi, 2008.
"Forecasting with panel data,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
- Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
- Badi H. Baltagi, 2007. "Forecasting with Panel Data," Center for Policy Research Working Papers 91, Center for Policy Research, Maxwell School, Syracuse University.
- Francois, John Nana & Ahmad, Nazneen & Keinsley, Andrew & Nti-Addae, Akwasi, 2022. "Heterogeneity in the long-run remittance-output relationship: Theory and new evidence," Economic Modelling, Elsevier, vol. 110(C).
- Brantley Liddle & Fakhri Hasanov, 2022. "Industry electricity price and output elasticities for high-income and middle-income countries," Empirical Economics, Springer, vol. 62(3), pages 1293-1319, March.
- Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
- Delwar Hossain, 2014. "Differential Impacts of Foreign Capital and Remittance Inflows on Domestic Savings in the Developing Countries: A Dynamic Heterogeneous Panel Analysis," Departmental Working Papers 2014-07, The Australian National University, Arndt-Corden Department of Economics.
- Obumneke Bob Muoneke & Obiamaka Priscilla Egbo & Kingsley Ikechukwu Okere, 2024. "Coal–environmental quality nexus in EU-part of the Eastern Bloc: Do socioeconomic factors and bureaucracy play a substantial role?," Energy & Environment, , vol. 35(5), pages 2307-2328, August.
- Salisu, Afees A. & Vo, Xuan Vinh, 2021. "Firm-specific news and the predictability of Consumer stocks in Vietnam," Finance Research Letters, Elsevier, vol. 41(C).
More about this item
Keywords
Trimmed Mean Group Estimator; Robust Estimator; Heterogeneous Panel; Random Coefficient; Two-Way Fixed Effects; Common Correlated Effects;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2021-03-01 (Econometrics)
- NEP-ORE-2021-03-01 (Operations Research)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:max:cprwps:237. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Katrina Fiacchi (email available below). General contact details of provider: https://edirc.repec.org/data/cpsyrus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.