NSE: Computation of Numerical Standard Errors in R

Journal of Open Source Software, Vol. 10, No. 2, 2017

Posted: 6 Aug 2018

See all articles by David Ardia

David Ardia

HEC Montreal - Department of Decision Sciences

Keven Bluteau

HEC Montreal - Department of Decision Sciences; Ghent University - Department of Economics

Date Written: January 10, 2017

Abstract

NSE is an R package for computing the numerical standard error (NSE), an estimate of the standard deviation of a simulation result if the simulation experiment were to be repeated many times. The package provides a set of wrappers around several R packages, which give access to more than thirty estimators, including batch means estimators (Geyer (1992 Section 3.2), initial sequence estimators (Geyer (1992 Equation 3.3), spectrum at zero estimators (Heidelberger and Welch (1981),Flegal and Jones (2010), heteroskedasticity and autocorrelation consistent (HAC) kernel estimators (Newey and West (1987), Andrews (1991), Andrews and Monahan (1992), Newey and West (1994), Hirukawa (2010), and bootstrap estimators Politis and Romano (1992), Politis and Romano (1994), Politis and White (2004).

Keywords: bootstrap, HAC kernel, numerical standard error (NSE), Monte Carlo, spectral density, R software

JEL Classification: C12, C15, C22

Suggested Citation

Ardia, David and Bluteau, Keven, NSE: Computation of Numerical Standard Errors in R (January 10, 2017). Journal of Open Source Software, Vol. 10, No. 2, 2017, Available at SSRN: https://ssrn.com/abstract=2911549

David Ardia (Contact Author)

HEC Montreal - Department of Decision Sciences ( email )

3000 Côte-Sainte-Catherine Road
Montreal, QC H2S1L4
Canada

Keven Bluteau

HEC Montreal - Department of Decision Sciences ( email )

3000 Côte-Sainte-Catherine Road
Montreal, QC H2S1L4
Canada

Ghent University - Department of Economics ( email )

Belgium

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