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  • Search: subject:"Many instruments"
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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
All
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 31 - 40 of 60
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Asymptotic distribution of JIVE in a heteroskedastic IV regression with many instruments
Chao, John C.; Swanson, Norman R.; Hausman, Jerry A.; … - 2011
accompanying consistent standard errors in the presence of heteroskedasticity and many instruments. The asymptotic framework …
Persistent link: https://www.econbiz.de/10010282856
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Instrumental variable estimation with heteroskedasticity and many instruments
Hausman, Jerry A.; Newey, Whitney K.; Woutersen, Tiemen; … - 2011
This paper gives a relatively simple, well behaved solution to the problem of many instruments in heteroskedastic data …. Such settings are common in microeconometric applications where many instruments are used to improve efficiency and … are robust to heteroskedasticity and many instruments. We show that the estimator has finite moments and high asymptotic …
Persistent link: https://www.econbiz.de/10010282870
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Bootstrap inference for instrumental variable models with many weak instruments
Wang, Wenjie; Melou, Maximilien Kaffo - In: Journal of econometrics 192 (2016) 1, pp. 231-268
Persistent link: https://www.econbiz.de/10011617149
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Instrumental variable estimation with heteroskedasticity and many instruments
Hausman, Jerry A.; Newey, Whitney K.; Woutersen, Tiemen; … - 2010
This paper gives a relatively simple, well behaved solution to the problem of many instruments in heteroskedastic data …. Such settings are common in microeconometric applications where many instruments are used to improve efficiency and … are robust to heteroskedasticity and many instruments. We show that the estimator has finite moments and high asymptotic …
Persistent link: https://www.econbiz.de/10010277529
Saved in:
Cover Image
Asymptotic distribution of JIVE in a heteroskedastic IV regression with many instruments
Chao, John C.; Swanson, Norman R.; Hausman, Jerry A.; … - 2010
accompanying consistent standard errors in the presence of heteroskedasticity and many instruments. The asymptotic framework …
Persistent link: https://www.econbiz.de/10010285790
Saved in:
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Parsimonious estimation with many instruments
Groen, Jan J. J.; Kapetanios, George - 2009
We suggest a way to perform parsimonious instrumental variables estimation in the presence of many, and potentially weak, instruments. In contrast to standard methods, our approach yields consistent estimates when the set of instrumental variables complies with a factor structure. In this sense,...
Persistent link: https://www.econbiz.de/10010287075
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Blunt Instruments: On Establishing the Causes of Economic Growth
Clemens, Michael; Bazzi, Samuel - 2009
Concern has intensified in recent years that many instrumental variables used in widely-cited growth regressions may be invalid, weak, or both. Attempts to remedy this general problem remain inadequate. We demonstrate that a range of published growth regressions may contain spurious results...
Persistent link: https://www.econbiz.de/10004991792
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A Specification Test for Instrumental Variables Regression with Many Instruments
Lee, Yoonseok; Okui, Ryo - Cowles Foundation for Research in Economics, Yale University - 2009
This paper considers specification testing for instrumental variables estimation in the presence of many instruments …
Persistent link: https://www.econbiz.de/10008509394
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Jackknife instrumental variable estimation with heteroskedasticity
Bekker, Paul A.; Crudu, Federico - In: Journal of Econometrics 185 (2015) 2, pp. 332-342
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 …
Persistent link: https://www.econbiz.de/10011190708
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Identification and inference with many invalid instruments
Kolesár, Michal; Chetty, Raj; Friedman, John N; … - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 474-484
Persistent link: https://www.econbiz.de/10011403221
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