Journal Article |
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Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Diagnostic for Seasonality Based Upon Polynomial Roots of ARMA Models |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
8 |
A Nonlinear Algorithm for Seasonal Adjustment in Multiplicative Component Decompositions |
0 |
0 |
0 |
13 |
0 |
0 |
0 |
66 |
A Review of Seasonal Adjustment Diagnostics |
1 |
2 |
4 |
7 |
3 |
4 |
7 |
14 |
A Review of Some Modern Approaches to the Problem of Trend Extraction |
0 |
1 |
1 |
69 |
0 |
1 |
3 |
233 |
A local spectral approach for assessing time series model misspecification |
0 |
0 |
0 |
18 |
0 |
1 |
1 |
61 |
A nonparametric method for asymmetrically extending signal extraction filters |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
51 |
An iterated parametric approach to nonstationary signal extraction |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
44 |
Assessing Residual Seasonality in the U.S. National Income and Product Accounts Aggregates |
0 |
0 |
0 |
2 |
0 |
0 |
4 |
15 |
Computation of the autocovariances for time series with multiple long-range persistencies |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
10 |
Computation of vector ARMA autocovariances |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
11 |
Corrigendum to ‘Subsampling Inference for the Mean of Heavy-Tailed Long-Memory Time Series’ by A. Jach, T. S. McElroy and D. N. Politis |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
12 |
Distribution theory for the studentized mean for long, short, and negative memory time series |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
44 |
Exact formulas for the Hodrick-Prescott filter |
0 |
0 |
0 |
173 |
0 |
4 |
9 |
515 |
Expectation Formation Following Large, Unexpected Shocks |
0 |
0 |
5 |
15 |
1 |
2 |
13 |
91 |
FIXED-B ASYMPTOTICS FOR THE STUDENTIZED MEAN FROM TIME SERIES WITH SHORT, LONG, OR NEGATIVE MEMORY |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
49 |
Forecasting continuous-time processes with applications to signal extraction |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
37 |
Hermite expansion and estimation of monotonic transformations of Gaussian data |
0 |
0 |
2 |
7 |
0 |
3 |
7 |
25 |
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
8 |
Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
11 |
MATRIX FORMULAS FOR NONSTATIONARY ARIMA SIGNAL EXTRACTION |
0 |
0 |
0 |
37 |
0 |
0 |
2 |
107 |
Model Estimation, Prediction, and Signal Extraction for Nonstationary Stock and Flow Time Series Observed at Mixed Frequencies |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
7 |
Model identification via total Frobenius norm of multivariate spectra |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
14 |
Multi-step-ahead estimation of time series models |
0 |
0 |
1 |
29 |
0 |
0 |
2 |
108 |
Multistep ahead forecasting of vector time series |
0 |
0 |
1 |
17 |
0 |
0 |
1 |
49 |
Multivariate Seasonal Adjustment, Economic Identities, and Seasonal Taxonomy |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
26 |
Nonlinear prediction via Hermite transformation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
Nonnested model comparisons for time series |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
On the Discretization of Continuous-Time Filters for Nonstationary Stock and Flow Time Series |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
114 |
Optimal Real-Time Filters for Linear Prediction Problems |
0 |
0 |
1 |
15 |
0 |
0 |
3 |
71 |
Optimal Signal Extraction with Correlated Components |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
85 |
Optimal linear interpolation of multiple missing values |
0 |
0 |
3 |
4 |
0 |
1 |
13 |
22 |
ROBUST INFERENCE FOR THE MEAN IN THE PRESENCE OF SERIAL CORRELATION AND HEAVY-TAILED DISTRIBUTIONS |
0 |
0 |
0 |
13 |
0 |
0 |
2 |
42 |
Recursive Computation for Block†Nested Covariance Matrices |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
5 |
Seasonal adjustment subject to accounting constraints |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
14 |
Signal Extraction Revision Variances as a Goodness-of-Fit Measure |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
65 |
Signal Extraction for Non-Stationary Multivariate Time Series with Illustrations for Trend Inflation |
0 |
1 |
1 |
11 |
0 |
1 |
2 |
49 |
Signal Extraction for Nonstationary Time Series with Diverse Sampling Rules |
0 |
1 |
1 |
7 |
0 |
1 |
2 |
37 |
Signal extraction goodness-of-fit diagnostic tests under model parameter uncertainty: Formulations and empirical evaluation |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
22 |
Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics |
0 |
0 |
0 |
7 |
1 |
1 |
2 |
47 |
Subsampling Inference for the Autocorrelations of GARCH Processes |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
14 |
Subsampling inference for the autocovariances and autocorrelations of long-memory heavy- tailed linear time series |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
23 |
Subsampling inference for the mean of heavy‐tailed long‐memory time series |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
39 |
Tail index estimation in the presence of long-memory dynamics |
0 |
0 |
0 |
12 |
1 |
1 |
1 |
55 |
Testing collinearity of vector time series |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
7 |
The Inverse Kullback–Leibler Method for Fitting Vector Moving Averages |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions |
1 |
1 |
5 |
11 |
1 |
2 |
8 |
32 |
The Term Structure of Uncertainty: New Evidence from Survey Expectations |
0 |
0 |
1 |
2 |
0 |
0 |
5 |
17 |
The multivariate bullwhip effect |
0 |
0 |
0 |
6 |
1 |
1 |
2 |
28 |
The perils of inferring serial dependence from sample autocorrelations of moving average series |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
23 |
The trilemma between accuracy, timeliness and smoothness in real-time signal extraction |
0 |
0 |
2 |
17 |
0 |
2 |
6 |
65 |
Time Series Econometrics Klaus Neusser Springer International Publishing, 2016, xxiv + 409 pages, £99.00, hardcover ISBN: 978-3-319-32861-4 |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
22 |
Time Series Seasonal Adjustment Using Regularized Singular Value Decomposition |
0 |
0 |
0 |
5 |
0 |
0 |
2 |
31 |
When are Direct Multi‐step and Iterative Forecasts Identical? |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
22 |
Total Journal Articles |
2 |
6 |
28 |
640 |
8 |
25 |
110 |
2,578 |