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Month: July 2017

Posted on July 31, 2017July 31, 2017

Robust Data-Driven Statistical Inference for Local Polynomial Regression and Kernel Density Estimation – Max Farrell

Link to Stata Code and R code

Posted on July 24, 2017July 24, 2017

Estimation of Best Linear Approximations to set Identified Functions – Paul Schrimpf, Victor Chernozhukov & Francesca Molinari

Link to R Code

Posted on July 20, 2017

Asymptotically Median Unbiased Estimation of Coefficient Variance in a Time Varying Parameter Model – Mark Watson

Link to R Code

Posted on July 20, 2017

Testing for Cointegration When Some of the Cointegrating Vectors are Prespecified – Mark Watson

Link to R Code

Posted on July 20, 2017July 20, 2017

Pivotal Estimation of Nonparametric Functions via Square-root Lasso – Victor Chernozhukov

Link to Matlab Code

Posted on July 20, 2017July 20, 2017

Intersection Bounds: Estimation and Inference – Victor Chernozhukov

Link to Stata Code

Posted on July 20, 2017July 20, 2017

Least Squares after Model Selection in High Dimensional Sparse Models – Victor Chernozhukov

Link to Matlab Code

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About this blog

This blog is a project of the ESRC Centre for Microdata Methods and Practice (CeMMAP) at the Institute for Fiscal Studies (RES-589-28-0001).

We welcome submissions of code for the inclusion in this blog. Simply fill out the form on the Submit Code page.

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  • autoregression
  • binary response model
  • censored data
  • cointegration
  • confidence interval
  • empirical likelihood
  • fixed effects
  • generalized moments
  • heterogeneity
  • heteroskedasticity
  • instrumental variable
  • interval data
  • local polynomial regression
  • logit
  • Markov perfect equilibria
  • maximum score
  • model averaging
  • nonparametrics
  • NPIV
  • Pakes-McGuire algorithm
  • panel data
  • partial identification
  • quantile regression
  • random coefficient
  • regression discontinuity
  • semiparametrics
  • single-index model
  • structural model
  • test
  • unit root

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This site links to software hosted on external websites. These are selected and reviewed when the link is published. However, cemmap and the IFS are not responsible for the content of external websites. This is because we do not produce them or maintain/update them and they can be changed without our knowledge or agreement. If you notice a broken or incorrect link, please let us know by emailing cemmapswl@gmail.com.

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