International Fellows

Susanne M. Schennach

Brown University

Selected Publications

Entropic Latent Variable Integration via Simulation

This paper introduces a general method to convert a model defined by moment conditions that involve […]

Susanne M. Schennach
1 January 2014 | Journal Article

Previous version

Entropic Latent Variable Integration via Simulation
Susanne M. Schennach
17 July 2013 | CWP32/13
Convolution without independence

Widely used convolutions and deconvolutions techniques traditionally rely on the assumption of independence, an assumption often […]

Susanne M. Schennach
23 September 2013 | CWP46/13
Entropic Latent Variable Integration via Simulation

This paper introduces a general method to convert a model defined by moment conditions involving both […]

Susanne M. Schennach
17 July 2013 | CWP32/13

Latest version

Entropic Latent Variable Integration via Simulation
Susanne M. Schennach
1 January 2014 | Journal Article
Regressions with Berkson errors in covariates- a nonparametric approach

This paper establishes that so-called instrumental variables enable the identification and the estimation of a fully […]

Susanne M. Schennach
1 June 2013 | Journal Article

Previous version

Regressions with Berkson errors in covariates – a nonparametric approach

This paper establishes that so-called instrumental variables enable the identification and the estimation of a fully […]

Susanne M. Schennach
28 May 2013 | CWP22/13

Latest version

Regressions with Berkson errors in covariates- a nonparametric approach
Susanne M. Schennach
1 June 2013 | Journal Article
Long memory via networking

Many time-series data are known to exhibit ‘long memory’, that is, they have an autocorrelation function […]

Susanne M. Schennach
2 April 2013 | CWP13/13

Latest version

Long memory via networking
Susanne M. Schennach
27 July 2018 | CWP49/18
Nonparametric identification and semiparametric estimation of classical measurement error models without side information

Virtually all methods aimed at correcting for covariate measurement error in regressions rely on some form […]

Susanne M. Schennach, Yingyao Hu
1 March 2013 | Journal Article

Previous version

Nonparametric identification and semiparametric estimation of classical measurement error models without side information

Virtually all methods aimed at correcting for covariate measurement error in regressions rely on some form […]

Susanne M. Schennach, Yingyao Hu
3 December 2012 | CWP40/12

Latest version

Measurement error in nonlinear models – a review

This overview of the recent econometrics literature on measurement error in nonlinear models centres on the […]

Susanne M. Schennach
3 December 2012 | CWP41/12
Estimating the technology of cognitive and noncognitive skill formation

This paper formulates and estimates multistage production functions for children’s cognitive and noncognitive skills. Skills are […]

Flavio Cunha, James Heckman, Susanne M. Schennach
21 May 2010 | Journal Article

Previous version

Estimating the technology of cognitive and noncognitive skill formation
Flavio Cunha, James Heckman, Susanne M. Schennach
25 April 2010 | CWP09/10