This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Queen's University directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $117,685
Improved econometric methods for heteroskedastic time series
SSHRC · 2017 · Principal investigator
- $377,353
Time Series Econometrics
SSHRC · 2016 · Principal investigator
- $126,992
Econometric analysis and application of the fractionally cointegrated VAR model
SSHRC · 2012 · Principal investigator
Improved econometric methods for heteroskedastic time series
Principal investigators: Nielsen, Morten Ø.
Keywords: bootstrap; cointegration; heteroskedasticity; long memory; strong correlation; time series
Time Series Econometrics
Principal investigators: Nielsen, Morten
Keywords: bootstrap; cointegration; heteroskedasticity; long memory; strong correlation; time series analysis
Econometric analysis and application of the fractionally cointegrated VAR model
Principal investigators: Nielsen, Morten Ø.
Keywords: cointegration; deterministic trends; fractional cointegration; initial values; long memory; maximum likelihood; rank test; VAR; vector autoregressive model
Canada Research Chair in Time Series Econometrics
Principal investigators: Nielsen, Morten O.
Keywords: cointegration, deterministic trends, fractional cointegration, initial values, long memory, maximum likelihood, rank test, var, vector autoregressive model
Fractional cointegration in a vector autoregressive model
Principal investigators: Nielsen, Morten Ø.
Keywords: cointegration rank; fractional cointegration; long memory; maximum likelihood; rank test; VAR; vector autoregressive model
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.