CeMMAP working papers
From Centre for Microdata Methods and Practice, Institute for Fiscal Studies The Institute for Fiscal Studies 7 Ridgmount Street LONDON WC1E 7AE. Contact information at EDIRC. Bibliographic data for series maintained by Emma Hyman (). Access Statistics for this working paper series.
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- CWP09/18: Semiparametric nonlinear panel data models with measurement error

- Oliver Linton and Ji-Liang Shiu
- CWP08/18: Multiscale clustering of nonparametric regression curves

- Michael Vogt and Oliver Linton
- CWP07/18: Estimation in semiparametric quantile factor models

- Shujie Ma, Oliver Linton and Jiti Gao
- CWP06/18: Implications of high-frequency trading for security markets

- Oliver Linton and Soheil Mahmoodzadeh
- CWP05/18: Inference on a semiparametric model with global power law and local nonparametric trends

- Jiti Gao, Oliver Linton and Bin Peng
- CWP04/18: High dimensional semiparametric moment restriction models

- Chaohua Dong, Jiti Gao and Oliver Linton
- CWP03/18: Multi-step non- and semi-parametric predictive regressions for short and long horizon stock return prediction

- Tingting Cheng, Jiti Gao and Oliver Linton
- CWP02/18: A simple and efficient estimation method for models with nonignorable missing data

- Chunrong Ai, Oliver Linton and Zheng Zhang
- CWP01/18: The behaviour of betting and currency markets on the night of the EU referendum

- Tom Auld and Oliver Linton
- CWP65/17: Extremal quantile regression: an overview

- Victor Chernozhukov, Ivan Fernandez-Val and Tetsuya Kaji
- CWP64/17: Counterfactual analysis in R: a vignette

- Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val and Blaise Melly
- CWP63/17: Simultaneous confidence intervals for high-dimensional linear models with many endogenous variables

- Alexandre Belloni, Victor Chernozhukov, Christian Hansen and Whitney Newey
- CWP62/17: An exact and robust conformal inference method for counterfactual and synthetic controls

- Victor Chernozhukov, Kaspar Wüthrich and Yu Zhu
- CWP61/17: Generic machine learning inference on heterogenous treatment effects in randomized experiments

- Victor Chernozhukov, Mert Demirer, Esther Duflo and Ivan Fernandez-Val
- CWP60/17: Individual counterfactuals with multidimensional unobserved heterogeneity

- Richard Blundell, Dennis Kristensen and Rosa Matzkin
- CWP59/17: Additive nonparametric models with time variable and both stationary and nonstationary regressions

- Chaohua Dong and Oliver Linton
- CWP58/17: Specification test on mixed logit models

- Jinyong Hahn, Jerry Hausman and Josh Lustig
- CWP57/17: Powerful t-Tests in the presence of nonclassical measurement error

- Dongwoo Kim and Daniel Wilhelm
- CWP56/17: Nonparametric analysis of random utility models

- Jörg Stoye and Yuichi Kitamura
- CWP55/17: Knowledge spillovers and patent citations: trends in geographic localization, 1976-2015

- Hyuk-Soo Kwon, Jihong Lee, Sokbae (Simon) Lee and Ryungha Oh
- CWP54/17: Quantile graphical models: prediction and conditional independence with applications to systemic risk

- Alexandre Belloni, Mingli Chen and Victor Chernozhukov
- CWP53/17: Estimating dynamic panel models: backing out the Nickell Bias

- Jerry Hausman and Maxim L. Pinkovskiy
- CWP52/17: Exact computation of GMM estimators for instrumental variable quantile regression models

- Le-Yu Chen and Sokbae (Simon) Lee
- CWP51/17: Breaking the curse of dimensionality in conditional moment inequalities for discrete choice models

- Le-Yu Chen and Sokbae (Simon) Lee
- CWP50/17: Best subset binary prediction

- Le-Yu Chen and Sokbae (Simon) Lee
- CWP49/17: Confidence intervals for projections of partially identified parameters

- Hiroaki Kaido, Francesca Molinari and Jörg Stoye
- CWP48/17: Semiparametric estimation of structural functions in nonseparable triangular models

- Victor Chernozhukov, Ivan Fernandez-Val, Whitney Newey, Sami Stouli and Francis Vella
- CWP47/17: Nonparametric instrumental variable estimation

- Daniel Wilhelm, Denis Chetverikov and Dongwoo Kim
- CWP46/17: Non-asymptotic inference in instrumental variables estimation

- Joel L. Horowitz
- CWP45/17: Optimal data collection for randomized control trials

- Pedro Carneiro, Sokbae (Simon) Lee and Daniel Wilhelm
- CWP44/17: Posterior distribution of nondifferentiable functions

- Toru Kitagawa, Jose Luis Montiel Olea and Jonathan Payne
- CWP43/17: Monte Carlo confidence sets for identified sets

- Xiaohong Chen, Timothy M. Christensen and Elie Tamer
- CWP42/17: Fixed effect estimation of large T panel data models

- Ivan Fernandez-Val and Martin Weidner
- CWP41/17: Cross-fitting and fast remainder rates for semiparametric estimation

- Whitney Newey and James M. Robins
- CWP40/17: The bunching estimator cannot identify the taxable income elasticity

- Sören Blomquist and Whitney Newey
- CWP39/17: Testing for homogeneity in mixture models

- Jiaying Gu, Roger Koenker and Stanislav Volgushev
- CWP38/17: Bayesian deconvolution: an R vinaigrette

- Roger Koenker
- CWP37/17: Rebayes: an R package for empirical bayes mixture methods

- Jiaying Gu and Roger Koenker
- CWP36/17: Quantile regression 40 years on

- Roger Koenker
- CWP35/17: Identifying preferences in networks with bounded degree

- Aureo de Paula, Seth Richards-Shubik and Elie Tamer
- CWP34/17: Inference under covariate-adaptive randomization with multiple treatments

- Federico A. Bugni, Ivan Canay and Azeem Shaikh
- CWP33/17: Nonseparable multinomial choice models in cross-section and panel data

- Victor Chernozhukov, Ivan Fernandez-Val and Whitney Newey
- CWP32/17: Information redundancy neglect versus overconfidence: a social learning experiment

- Marco Angrisani, Antonio Guarino, Philippe Jehiel and Toru Kitagawa
- CWP31/17: Binarization for panel models with fixed effects

- Irene Botosaru and Chris Muris
- CWP30/17: Semiparametric efficient empirical higher order influence function estimators

- Rajarshi Mukherjee, Whitney Newey and James Robins
- CWP29/17: Quantreg.nonpar: an R package for performing nonparametric series quantile regression

- Michael Lipsitz, Alexandre Belloni, Victor Chernozhukov and Ivan Fernandez-Val
- CWP28/17: Double/debiased machine learning for treatment and structural parameters

- Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey and James Robins
- CWP27/17: Incomplete English auction models with heterogeneity

- Andrew Chesher and Adam Rosen
- CWP26/17: Fixed-effect regressions on network data

- Koen Jochmans and Martin Weidner
- CWP25/17: Inference under covariate-adaptive randomization

- Federico A. Bugni, Ivan Canay and Azeem Shaikh
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