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  • Search: isPartOf:"CeMMAP working papers"
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Year of publication
Subject
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Estimation theory 405 Schätztheorie 405 Nichtparametrisches Verfahren 264 Nonparametric statistics 264 Theorie 228 Theory 228 Regression analysis 164 Regressionsanalyse 164 Estimation 112 Schätzung 112 IV-Schätzung 104 Instrumental variables 104 Induktive Statistik 99 Statistical inference 99 Statistical test 94 Statistischer Test 94 Panel 91 Panel study 91 Causality analysis 83 Kausalanalyse 83 Bootstrap approach 70 Bootstrap-Verfahren 70 Method of moments 70 Momentenmethode 69 Monte Carlo simulation 58 Monte-Carlo-Simulation 58 Statistical error 54 Statistischer Fehler 54 Nonparametric estimation 51 Nichtparametrische Schätzung 49 USA 48 United States 48 Discrete choice 47 Diskrete Entscheidung 47 Time series analysis 41 Zeitreihenanalyse 41 Großbritannien 39 United Kingdom 39 Statistical distribution 38 Statistische Verteilung 38
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Online availability
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Free 1,437
Type of publication
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Book / Working Paper 1,448
Type of publication (narrower categories)
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Arbeitspapier 998 Working Paper 998 Graue Literatur 967 Non-commercial literature 967 Systematic review 6 Übersichtsarbeit 6 Bibliografie enthalten 1 Bibliography included 1
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Language
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English 1,287 Undetermined 161
Author
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Chernozhukov, Victor 179 Linton, Oliver 78 Lee, Sokbae 73 Chesher, Andrew 64 Horowitz, Joel 60 Fernández-Val, Iván 58 Chen, Xiaohong 52 Newey, Whitney K. 51 Weidner, Martin 51 Belloni, Alexandre 49 Kitagawa, Toru 49 Carneiro, Pedro 45 Rosen, Adam M. 40 Chetverikov, Denis 35 Hu, Yingyao 34 Kato, Kengo 34 Nesheim, Lars 34 Hoderlein, Stefan 33 Wilhelm, Daniel 33 Sokbae 'Simon' Lee 32 Molinari, Francesca 26 Windmeijer, Frank 26 Bonhomme, Stéphane 25 Hansen, Christian Bailey 25 Robin, Jean-Marc 24 Giacomini, Raffaella 23 Paula, Áureo de 23 Koenker, Roger 22 Ichimura, Hidehiko 20 Hahn, Jinyong 19 Smith, Richard J. 19 Canay, Ivan A. 18 Graham, Bryan S. 18 Lewbel, Arthur 18 Kaido, Hiroaki 17 Rosen, Adam 17 Schennach, Susanne M. 17 Blundell, Richard W. 16 Bugni, Federico A. 16 Chen, Le-Yu 16
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Institution
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Centre for Microdata Methods and Practice (CEMMAP) 450 Centre for Microdata Methods and Practice <London> 54
Published in...
All
CEMMAP working papers / Centre for Microdata Methods and Practice 998 CeMMAP working papers 450
Source
All
ECONIS (ZBW) 998 RePEc 450
Showing 1,191 - 1,200 of 1,448
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Nonparametric identification and estimation of nonclassical errors-in-variablles models without additional information
Chen, Xiaohong (contributor); Hu, Yingyao (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003519188
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Efficiency bounds for estimating linear functionals of nonparametric regression models with endogenous regressors
Severini, Thomas A. (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003481731
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On the computational complexity of MCMC-based estimators in large samples
Belloni, Alexandre (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003481737
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Mixed hitting-time models
Abbring, Jaap - Centre for Microdata Methods and Practice (CEMMAP) - 2007
We study a mixed hitting-time (MHT) model that specifies durations as the first time a Levy process - a continuous-time process with stationary and independent increments - crosses a heterogeneous threshold. Such models are of substantial interest because they can be reduced from...
Persistent link: https://www.econbiz.de/10005509544
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Estimating average marginal effects in nonseparable structural systems
Schennach, Susanne; White, Halbert; Chalak, Karim - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p><p>We provide nonparametric estimators of derivative ratio-based average marginal effects of an endogenous cause, X, on a response of interest, Y , for a system of recursive structural equations. The system need not exhibit linearity, separability, or monotonicity. Our estimators are local indirect...</p></p>
Persistent link: https://www.econbiz.de/10005509545
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Maximal uniform convergence rates in parametric estimation problems
Beckert, Walter; McFadden, Daniel - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p><p>This paper considers parametric estimation problems with independent, identically,non-regularly distributed data. It focuses on rate-effciency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality criterion,largely unexplored in parametric...</p></p>
Persistent link: https://www.econbiz.de/10005509550
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Robust priors in nonlinear panel data models
Arellano, Manuel; Bonhomme, Stéphane - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p>Many approaches to estimation of panel models are based on an average or integrated likelihood that assigns weights to different values of the individual effects. Fixed effects, random effects, and Bayesian approaches all fall in this category. We provide a characterization of the class of...</p>
Persistent link: https://www.econbiz.de/10005509551
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Who wears the trousers? A semiparametric analysis of decision power in couples
Lührmann, Melanie; Maurer, Jürgen - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p><p><p><p><p>Decision processes among couples depend on the balance of power between the partners, determining the welfare of household members as well as household outcomes. However, little is known about the determinants of power. The collective model of household behavior gives an operational definition...</p></p></p></p></p>
Persistent link: https://www.econbiz.de/10005509563
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Moment inequalities and their application
Pakes, Ariel; Porter, J.; Ho, Kate; Ishii, Joy - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p>This paper provides conditions under which the inequality constraints generated by either single agent optimizing behavior, or by the Nash equilibria of multiple agent problems, can be used as a basis for estimation and inference. We also add to the econometric literature on inference in models...</p>
Persistent link: https://www.econbiz.de/10005509571
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Quantile and probability curves without crossing
Chernozhukov, Victor; Fernandez-Val, Ivan; Galichon, Alfred - Centre for Microdata Methods and Practice (CEMMAP) - 2007
<p><p><p><p><p>The most common approach to estimating conditional quantile curves is to fit a curve, typically linear, pointwise for each quantile. Linear functional forms, coupled with pointwise fitting, are used for a number of reasons including parsimony of the resulting approximations and good...</p></p></p></p></p>
Persistent link: https://www.econbiz.de/10005811430
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