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Year of publication
Subject
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Instrumental variables 27 Schätztheorie 27 Estimation theory 25 IV-Schätzung 23 many instruments 23 Many instruments 20 weak instruments 13 Heteroskedastizität 12 Heteroskedasticity 10 heteroskedasticity 10 instrumental variables 10 LIML 9 Heteroscedasticity 8 Jackknife 7 Statistical test 6 Statistischer Test 6 Many Instruments 5 Theorie 5 Weak instruments 5 jackknife estimation 5 Instrumental Variables 4 Instrumentalvariablen-Schätzmethode 4 MSE 4 jackknife 4 Resampling 3 Statistical error 3 Statistischer Fehler 3 regularization methods 3 weak and many instruments 3 2SLS 2 Bekker standard errors 2 Bootstrap 2 Bootstrap approach 2 Bootstrap-Verfahren 2 GMM 2 High-dimensional models 2 IV 2 Instrumental variables estimation 2 J test 2 Limited information maximum likelihood 2
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Online availability
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Free 29 Undetermined 22
Type of publication
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Book / Working Paper 31 Article 29
Type of publication (narrower categories)
All
Article in journal 20 Aufsatz in Zeitschrift 20 Working Paper 17 Graue Literatur 8 Non-commercial literature 8 Arbeitspapier 7
Language
All
English 42 Undetermined 18
Author
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Hausman, Jerry A. 13 Newey, Whitney K. 11 Woutersen, Tiemen 11 Chao, John C. 9 Swanson, Norman R. 9 Carrasco, Marine 7 Crudu, Federico 5 Anatolyev, Stanislav 4 Bekker, Paul A. 4 Tchuente, Guy 4 Chao, John 3 Hausman, Jerry 3 Matsushita, Yukitoshi 3 Swanson, Norman 3 Wang, Wenjie 3 Doukali, Mohamed 2 Hahn, Jinyong 2 Hayakawa, Kazuhiko 2 Kolesár, Michal 2 Kunitomo, Naoto 2 Lee, Seojeong 2 Lee, Yoonseok 2 Mellace, Giovanni 2 Melou, Maximilien Kaffo 2 Newey, Whitney 2 Okui, Ryo 2 Otsu, Taisuke 2 Shin, Youngki 2 Sándor, Zsolt 2 Abutaliev, Albert 1 Anderson, T.W. 1 Bazzi, Samuel 1 Bekker, P.A. 1 Chaussé, Pierre 1 Chetty, Raj 1 Clemens, Michael 1 Crudu, F. 1 Essen, Jelle van 1 Friedman, John N 1 Glaseser, Edward 1
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Institution
All
Department of Economics, Rutgers University-New Brunswick 3 Center for Economic and Financial Research (CEFIR), New Economic School (NES) 2 Institute of Economic Research, Hitotsubashi University 2 Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Centro Ricerche Nord Sud (CRENoS) 1 Cowles Foundation for Research in Economics, Yale University 1 Econometric Society 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
All
Journal of econometrics 7 Journal of Econometrics 5 Working Paper 5 Departmental Working Papers / Department of Economics, Rutgers University-New Brunswick 3 Economics Letters 3 The econometrics journal 3 cemmap working paper 3 Econometric reviews 2 Economics letters 2 Hi-Stat Discussion Paper Series 2 Quaderni del Dipartimento di economia politica e statistica 2 Working Papers / Center for Economic and Financial Research (CEFIR), New Economic School (NES) 2 Annals of economics and statistics 1 Annals of the Institute of Statistical Mathematics 1 CEMMAP working papers / Centre for Microdata Methods and Practice 1 CIRANO Working Papers 1 Cowles Foundation Discussion Papers 1 Department of Economics working paper series / McMaster University, Department of Economics 1 Discussion papers / University of Kent, School of Economics 1 Econometric Society 2004 North American Winter Meetings 1 Econometrics papers 1 Economics working paper series 1 Indian economic review : official journal of Delhi School of Economics 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of econometric methods 1 Journal of quantitative economics 1 MPRA Paper 1 Quantitative economics : QE ; journal of the Econometric Society 1 School of Economics Discussion Papers 1 Staff Report 1 Waterloo economic series : working paper 1 Working Paper CRENoS 1 Working Papers 1
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Source
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ECONIS (ZBW) 28 RePEc 22 EconStor 10
Showing 11 - 20 of 60
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Problems with the control variable approach in achieving unbiased estimates in nonlinear models in the presence of many instruments
Hahn, Jinyong; Hausman, Jerry A. - In: Journal of quantitative economics 19 (2021), pp. 39-58
Persistent link: https://www.econbiz.de/10013441705
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Regularized empirical likelihood as a solution to the no moment problem : the linear case with many instruments
Chaussé, Pierre - 2017
Persistent link: https://www.econbiz.de/10011761610
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Inference in instrumental variables models with heteroskedasticity and many instruments
Crudu, Federico; Mellace, Giovanni; Sándor, Zsolt - 2017
Persistent link: https://www.econbiz.de/10011853176
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ML and GMM with concentrated instruments in the static panel data model
Bekker, Paul A.; Essen, Jelle van - In: Econometric reviews 39 (2020) 2, pp. 181-195
Persistent link: https://www.econbiz.de/10012181529
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Regularized LIML for many instruments
Carrasco, Marine; Tchuente, Guy - 2015
The use of many moment conditions improves the asymptotic efficiency of the instrumental variables estimators. However, in finite samples, the inclusion of an excessive number of moments increases the bias. To solve this problem, we propose regularized versions of the limited information maximum...
Persistent link: https://www.econbiz.de/10011445282
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Finite sample bias corrected IV estimation for weak and many instruments
Harding, Matthew; Hausman, Jerry; Palmer, Christopher - 2015
presence of weak and/or many instruments. We then contrast the behavior of the exact bias expressions and the asymptotic … (1962) that dominates k-class estimators (including 2SLS), especially in the cases of weak and/or many instruments. We …
Persistent link: https://www.econbiz.de/10011445748
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Finite sample bias corrected IV estimation for weak and many instruments
Harding, Matthew C.; Hausman, Jerry A.; Palmer, … - 2015
presence of weak and/or many instruments. We then contrast the behavior of the exact bias expressions and the asymptotic … (1962) that dominates k-class estimators (including 2SLS), especially in the cases of weak and/or many instruments. We …
Persistent link: https://www.econbiz.de/10011300710
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Cover Image
Regularized LIML for many instruments
Carrasco, Marine; Tchuente, Guy - 2015
The use of many moment conditions improves the asymptotic efficiency of the instrumental variables estimators. However, in finite samples, the inclusion of an excessive number of moments increases the bias. To solve this problem, we propose regularized versions of the limited information maximum...
Persistent link: https://www.econbiz.de/10011332999
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Cover Image
Regularized LIML for many instruments
Tchuente, Guy; Carrasco, Marine - Centre Interuniversitaire de Recherche en Analyse des … - 2013
The use of many moment conditions improves the asymptotic efficiency of the instrumental variables estimators. However, in finite samples, the inclusion of an excessive number of moments increases the bias. To solve this problem, we propose regularized versions of the limited information maximum...
Persistent link: https://www.econbiz.de/10011183774
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Cover Image
Jackknife Instrumental Variable Estimation with Heteroskedasticity
Bekker, P.A.; Crudu, F. - Centro Ricerche Nord Sud (CRENoS) - 2013
weighs observations such that many- instruments consistency is guaranteed while the signal component in the data is … maintained. We show that this results in a smaller signal component in the many- instruments asymptotic variance when compared to … estimators that neglect a part of the signal to achieve consistency. Both many-instruments and many-weak- instruments asymptotic …
Persistent link: https://www.econbiz.de/10010860666
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