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  • Search: subject:"Classifier-Lasso"
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Year of publication
Subject
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Panel 8 Panel study 8 Classifier Lasso 5 Classifier-Lasso 4 Estimation theory 4 Schätztheorie 4 Estimation 3 Schätzung 3 dynamic panel 3 latent structure 3 number of groups 3 penalized least square 3 test 3 Democracy 2 Demokratie 2 Dynamic panel 2 Kleinste-Quadrate-Methode 2 Latent structure 2 Least squares method 2 Parameter heterogeneity 2 Regression analysis 2 Regressionsanalyse 2 Theorie 2 Theory 2 Artificial intelligence 1 Classifier-Lasso method 1 Cross section dependence 1 Cross-section dependence 1 Currency Demand Analysis 1 EPRTR 1 EU countries 1 EU structural funds 1 EU-ETS 1 EU-Staaten 1 EU-Strukturfonds 1 Economic convergence 1 Efficient price 1 European regional growth 1 Functional coefficient 1 Geldnachfrage 1
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Online availability
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Undetermined 7 Free 3
Type of publication
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Article 9 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 8 Aufsatz in Zeitschrift 8 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 10
Author
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Su, Liangjun 6 Lu, Xun 3 Huang, Wenxin 2 Jin, Sainan 2 Chakraborty, Saptorshee Kanto 1 Guliyev, Hasraddin 1 Ju, Gaosheng 1 Król, Michał 1 Mandel, Antoine 1 Phillips, Peter C. B. 1 Su, Liangju 1 Torój, Andrzej 1 Wang, Xia 1 Zhuang, Yuan 1
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Published in...
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 2 Journal of econometrics 2 Quantitative economics : QE ; journal of the Econometric Society 2 Biophysical economics and sustainability 1 Collegium of Economic Analysis working paper series 1 Economic change & restructuring 1 Quantitative Economics 1
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Source
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ECONIS (ZBW) 9 EconStor 1
Showing 1 - 10 of 10
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Is panel currency demand equation homogeneous, why not, and what it means for shadow economy measurement
Król, Michał; Torój, Andrzej - 2025
Persistent link: https://www.econbiz.de/10015359838
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Using machine learning techniques to test the load capacity curve hypothesis : a classifier-Lasso application on global panel data
Guliyev, Hasraddin - In: Biophysical economics and sustainability 10 (2025) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10015330754
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Understanding EU regional macroeconomic tipping points using panel threshold technique
Chakraborty, Saptorshee Kanto; Mandel, Antoine - In: Economic change & restructuring 57 (2024) 3, pp. 1-30
Persistent link: https://www.econbiz.de/10015045363
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Detecting unobserved heterogeneity in efficient prices via classifier-lasso
Huang, Wenxin; Su, Liangjun; Zhuang, Yuan - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 2, pp. 509-522
Persistent link: https://www.econbiz.de/10014448284
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Sieve estimation of time-varying panel data models with latent structures
Su, Liangjun; Wang, Xia; Jin, Sainan - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 2, pp. 334-349
Persistent link: https://www.econbiz.de/10012177362
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Nonstationary panel models with latent group structures and cross-section dependence
Huang, Wenxin; Jin, Sainan; Phillips, Peter C. B.; Su, … - In: Journal of econometrics 221 (2021) 1, pp. 198-222
Persistent link: https://www.econbiz.de/10012618820
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Determining the number of groups in latent panel structures with an application to income and democracy
Lu, Xun; Su, Liangju - In: Quantitative Economics 8 (2017) 3, pp. 729-760
We consider a latent group panel structure as recently studied by Su, Shi, and Phillips (2016), where the number of groups is unknown and has to be determined empirically. We propose a testing procedure to determine the number of groups. Our test is a residual-based Lagrange multiplier-type...
Persistent link: https://www.econbiz.de/10011995502
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Determining the number of groups in latent panel structures with an application to income and democracy
Lu, Xun; Su, Liangjun - In: Quantitative economics : QE ; journal of the … 8 (2017) 3, pp. 729-760
We consider a latent group panel structure as recently studied by Su, Shi, and Phillips (2016), where the number of groups is unknown and has to be determined empirically. We propose a testing procedure to determine the number of groups. Our test is a residual-based Lagrange multiplier-type...
Persistent link: https://www.econbiz.de/10011801632
Saved in:
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Identifying latent grouped patterns in panel data models with interactive fixed effects
Su, Liangjun; Ju, Gaosheng - In: Journal of econometrics 206 (2018) 2, pp. 554-573
Persistent link: https://www.econbiz.de/10012110415
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Cover Image
Determining the number of groups in latent panel structures with an application to income and democracy
Lu, Xun; Su, Liangjun - In: Quantitative economics : QE ; journal of the … 8 (2017) 3, pp. 729-760
Persistent link: https://www.econbiz.de/10011804941
Saved in:
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