Details about Tucker Sprague McElroy
Access statistics for papers by Tucker Sprague McElroy.
Last updated 2022-10-31. Update your information in the RePEc Author Service.
Short-id: pmc150
Jump to Journal Articles
Working Papers
2017
- Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence
Working Papers, U.S. Census Bureau, Center for Economic Studies 
See also Journal Article Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence, LABOUR, CEIS (2019) View citations (2) (2019)
2013
- Spectral Density and Spectral Distribution Inference for Long Memory Time Series via Fixed-b Asymptotics
University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego 
See also Journal Article Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics, Journal of Econometrics, Elsevier (2014) View citations (6) (2014)
2012
- Distribution Theory for the Studentized Mean for Long, Short, and Negative Memory Time Series
University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego View citations (14)
Also in University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego (2011) View citations (1)
See also Journal Article Distribution theory for the studentized mean for long, short, and negative memory time series, Journal of Econometrics, Elsevier (2013) View citations (4) (2013)
- Multi-step ahead forecasting of vector time series
Working Papers, Federal Reserve Bank of St. Louis View citations (3)
See also Journal Article Multistep ahead forecasting of vector time series, Econometric Reviews, Taylor & Francis Journals (2017) View citations (2) (2017)
- Signal extraction for nonstationary multivariate time series with illustrations for trend inflation
Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.) View citations (4)
See also Journal Article Signal Extraction for Non-Stationary Multivariate Time Series with Illustrations for Trend Inflation, Journal of Time Series Analysis, Wiley Blackwell (2015) View citations (3) (2015)
2009
- Fixed-b asymptotics for the studentized mean from time series with short, long or negative memory
University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego View citations (9)
See also Journal Article FIXED-B ASYMPTOTICS FOR THE STUDENTIZED MEAN FROM TIME SERIES WITH SHORT, LONG, OR NEGATIVE MEMORY, Econometric Theory, Cambridge University Press (2012) View citations (14) (2012)
2007
- Continuous time extraction of a nonstationary signal with illustrations in continuous low-pass and band-pass filtering
Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.) View citations (2)
Journal Articles
2023
- Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density
Computational Statistics & Data Analysis, 2023, 177, (C) View citations (1)
2022
- A Review of Seasonal Adjustment Diagnostics
International Statistical Review, 2022, 90, (2), 259-284
- Assessing Residual Seasonality in the U.S. National Income and Product Accounts Aggregates
Journal of Official Statistics, 2022, 38, (2), 399-428
- Model identification via total Frobenius norm of multivariate spectra
Journal of the Royal Statistical Society Series B, 2022, 84, (2), 473-495
- Optimal linear interpolation of multiple missing values
Statistical Inference for Stochastic Processes, 2022, 25, (3), 471-483
- The Term Structure of Uncertainty: New Evidence from Survey Expectations
Journal of Money, Credit and Banking, 2022, 54, (1), 39-71 View citations (3)
2021
- A Diagnostic for Seasonality Based Upon Polynomial Roots of ARMA Models
Journal of Official Statistics, 2021, 37, (2), 367-394 View citations (2)
- Nonlinear prediction via Hermite transformation
Statistical Theory and Related Fields, 2021, 5, (1), 49-54
2020
- Expectation Formation Following Large, Unexpected Shocks
The Review of Economics and Statistics, 2020, 102, (2), 287-303 View citations (37)
- The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions
Econometrics and Statistics, 2020, 14, (C), 112-130 View citations (2)
- Time Series Seasonal Adjustment Using Regularized Singular Value Decomposition
Journal of Business & Economic Statistics, 2020, 38, (3), 487-501 View citations (5)
2019
- Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence
LABOUR, 2019, 33, (4), 463-487 View citations (2)
See also Working Paper Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence, Working Papers (2017) (2017)
- Subsampling Inference for the Autocorrelations of GARCH Processes
Journal of Financial Econometrics, 2019, 17, (3), 495-515
- Testing collinearity of vector time series
The Econometrics Journal, 2019, 22, (2), 97-116 View citations (2)
- The trilemma between accuracy, timeliness and smoothness in real-time signal extraction
International Journal of Forecasting, 2019, 35, (3), 1072-1084 View citations (2)
2018
- Recursive Computation for Block†Nested Covariance Matrices
Journal of Time Series Analysis, 2018, 39, (3), 299-312 View citations (1)
- Seasonal adjustment subject to accounting constraints
Statistica Neerlandica, 2018, 72, (4), 574-589 View citations (1)
- The Inverse Kullback–Leibler Method for Fitting Vector Moving Averages
Journal of Time Series Analysis, 2018, 39, (2), 172-191 View citations (1)
- The multivariate bullwhip effect
European Journal of Operational Research, 2018, 267, (1), 96-106 View citations (5)
2017
- Computation of vector ARMA autocovariances
Statistics & Probability Letters, 2017, 124, (C), 92-96 View citations (1)
- Multistep ahead forecasting of vector time series
Econometric Reviews, 2017, 36, (5), 495-513 View citations (2)
See also Working Paper Multi-step ahead forecasting of vector time series, Working Papers (2012) View citations (3) (2012)
- Multivariate Seasonal Adjustment, Economic Identities, and Seasonal Taxonomy
Journal of Business & Economic Statistics, 2017, 35, (4), 611-625 View citations (8)
- Signal Extraction for Nonstationary Time Series with Diverse Sampling Rules
Journal of Time Series Econometrics, 2017, 9, (1), 37
- Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty: Formulations and empirical evaluation
Econometric Reviews, 2017, 36, (4), 447-467 View citations (2)
- Time Series Econometrics Klaus Neusser Springer International Publishing, 2016, xxiv + 409 pages, £99.00, hardcover ISBN: 978-3-319-32861-4
International Statistical Review, 2017, 85, (1), 181-183
2016
- Computation of the autocovariances for time series with multiple long-range persistencies
Computational Statistics & Data Analysis, 2016, 101, (C), 44-56 View citations (13)
- Corrigendum to ‘Subsampling Inference for the Mean of Heavy-Tailed Long-Memory Time Series’ by A. Jach, T. S. McElroy and D. N. Politis
Journal of Time Series Analysis, 2016, 37, (5), 713-720 View citations (1)
- Hermite expansion and estimation of monotonic transformations of Gaussian data
Journal of Nonparametric Statistics, 2016, 28, (1), 207-234
- Nonnested model comparisons for time series
Biometrika, 2016, 103, (4), 905-914 View citations (1)
- Optimal Real-Time Filters for Linear Prediction Problems
Journal of Time Series Econometrics, 2016, 8, (2), 155-192 View citations (1)
2015
- Model Estimation, Prediction, and Signal Extraction for Nonstationary Stock and Flow Time Series Observed at Mixed Frequencies
Journal of the American Statistical Association, 2015, 110, (511), 1284-1303 View citations (1)
- Signal Extraction for Non-Stationary Multivariate Time Series with Illustrations for Trend Inflation
Journal of Time Series Analysis, 2015, 36, (2), 209-227 View citations (3)
See also Working Paper Signal extraction for nonstationary multivariate time series with illustrations for trend inflation, Finance and Economics Discussion Series (2012) View citations (4) (2012)
- When are Direct Multi‐step and Iterative Forecasts Identical?
Journal of Forecasting, 2015, 34, (4), 315-336 View citations (2)
2014
- Optimal Signal Extraction with Correlated Components
Journal of Time Series Econometrics, 2014, 6, (2), 237-273 View citations (2)
- Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics
Journal of Econometrics, 2014, 182, (1), 211-225 View citations (6)
See also Working Paper Spectral Density and Spectral Distribution Inference for Long Memory Time Series via Fixed-b Asymptotics, University of California at San Diego, Economics Working Paper Series (2013) (2013)
2013
- Distribution theory for the studentized mean for long, short, and negative memory time series
Journal of Econometrics, 2013, 177, (1), 60-74 View citations (4)
See also Working Paper Distribution Theory for the Studentized Mean for Long, Short, and Negative Memory Time Series, University of California at San Diego, Economics Working Paper Series (2012) View citations (14) (2012)
- Forecasting continuous-time processes with applications to signal extraction
Annals of the Institute of Statistical Mathematics, 2013, 65, (3), 439-456 View citations (3)
- Multi-step-ahead estimation of time series models
International Journal of Forecasting, 2013, 29, (3), 378-394 View citations (5)
2012
- A Review of Some Modern Approaches to the Problem of Trend Extraction
Econometric Reviews, 2012, 31, (6), 593-624 View citations (26)
- FIXED-B ASYMPTOTICS FOR THE STUDENTIZED MEAN FROM TIME SERIES WITH SHORT, LONG, OR NEGATIVE MEMORY
Econometric Theory, 2012, 28, (2), 471-481 View citations (14)
See also Working Paper Fixed-b asymptotics for the studentized mean from time series with short, long or negative memory, University of California at San Diego, Economics Working Paper Series (2009) View citations (9) (2009)
- Subsampling inference for the autocovariances and autocorrelations of long-memory heavy- tailed linear time series
Journal of Time Series Analysis, 2012, 33, (6), 935-953 View citations (2)
- Subsampling inference for the mean of heavy‐tailed long‐memory time series
Journal of Time Series Analysis, 2012, 33, (1), 96-111 View citations (10)
- Tail index estimation in the presence of long-memory dynamics
Computational Statistics & Data Analysis, 2012, 56, (2), 266-282 View citations (2)
- The perils of inferring serial dependence from sample autocorrelations of moving average series
Statistics & Probability Letters, 2012, 82, (9), 1632-1636
2011
- A nonparametric method for asymmetrically extending signal extraction filters
Journal of Forecasting, 2011, 30, (7), 597-621 View citations (3)
- On the Discretization of Continuous-Time Filters for Nonstationary Stock and Flow Time Series
Econometric Reviews, 2011, 30, (5), 475-513 View citations (3)
2010
- A Nonlinear Algorithm for Seasonal Adjustment in Multiplicative Component Decompositions
Studies in Nonlinear Dynamics & Econometrics, 2010, 14, (4), 23 View citations (2)
- Signal Extraction Revision Variances as a Goodness-of-Fit Measure
Journal of Time Series Econometrics, 2010, 2, (1), 32 View citations (3)
2009
- A local spectral approach for assessing time series model misspecification
Journal of Multivariate Analysis, 2009, 100, (4), 604-621 View citations (3)
2008
- Exact formulas for the Hodrick-Prescott filter
Econometrics Journal, 2008, 11, (1), 209-217 View citations (28)
- MATRIX FORMULAS FOR NONSTATIONARY ARIMA SIGNAL EXTRACTION
Econometric Theory, 2008, 24, (4), 988-1009 View citations (27)
2006
- An iterated parametric approach to nonstationary signal extraction
Computational Statistics & Data Analysis, 2006, 50, (9), 2206-2231 View citations (8)
2002
- ROBUST INFERENCE FOR THE MEAN IN THE PRESENCE OF SERIAL CORRELATION AND HEAVY-TAILED DISTRIBUTIONS
Econometric Theory, 2002, 18, (5), 1019-1039 View citations (3)
|
The links between different versions of a paper are constructed automatically by matching on the titles.
Please contact if a link is incorrect.
Use this form
to add links between versions where the titles do not match.
|