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Seasonal Adjustment Working Papers

This page provides papers of interest to researchers and seasonal adjustment experts are available for downloading.


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Working Paper
Testing Collinearity of Vector Time Series
Investigating collinearity of vector time series in the frequency domain, by examining the rank of the spectral density matrix at a given frequency of interest.


Working Paper
Time Series Seasonal Adjustment Using Regularized SVD
We propose a new seasonal adjustment method based on the Regularized Singular Value Decomposition of the matrix obtained by reshaping seasonal time series data.


Working Paper
Constrained Estimation of Causal Invertible VARMA
Presents a reparameterization of vector autoregressive moving aver- age models for parameter estimation under the constraints of causality and invertibility.


Working Paper
Maximum Entropy Extreme-Value Seasonal Adjustment
Some economic series in small economies exhibit meagre (i.e. non-positive) values, as well as seasonal extremes.


Working Paper
Seasonal Adjustment Subject to Accounting Constraints
Proposes utilizing adequacy of (disaggregate) component seasonal adjustments, modified by reconciliation, as an additional constraint to the accounting problem.


Working Paper
The Inverse Kullback-Leibler Method for Fitting Vector Moving Averages
A new method for the estimation of a vector moving average (VMA) process is presented.


Working Paper
Multivariate SA, Economic Identities, and Seasonal Taxonomy
This article explores the statistical modeling of seasonality jointly across multiple time series, using latent dynamic factor models fitted by MLE.


Working Paper
Computation of Vector ARMA Autocovariances
Describes an algorithm for computing the autocovariance sequence of a VARMA process without requiring the intermediary determination of the Wold representation.


Working Paper
Recurvsive Computation for Block-Nested Covariance Matrices
Covariance matrices corresponding to samples of multivariate time series or spatial random fields have a block-Toeplitz structure that has a nested pattern.


Working Paper
Nonnested model comparisons for time series
This paper addresses the topic of nonnested time series model comparisons.


Working Paper
Optimal Real-Time Filters for Linear Prediction Problems
The classic model-based paradigm in time series analysis is rooted in the Wold decomposition of the data-generating process into an uncorrelated WN process.


Working Paper
Getting Started with X-13ARIMA-SEATS Input Files (Accessible Version)
This document is based on one originally developed in 2002 by Catherine Hood and Brian Monsell to assist users of X-12-ARIMA.


Working Paper
Computation of the Autocovariances for Time Series
Gegenbauer processes allow for flexible and convenient modeling of time series data with multiple spectral peaks.


Working Paper
On the measurement and treatment of extremes in time series
The paper reviews the topic of extremal time series.


Working Paper
Signal Extraction for Nonstationary Time Series
This paper presents a flexible framework for signal extraction of time series measured as stock or flow at diverse sampling frequencies.


Working Paper
Model Estimation, Prediction, and Signal Extraction
A practical problem for statistical agencies and banks that publish economic data is the seasonal adjustment of mixed frequency stock and flow time series.


Working Paper
When are Direct Multi-step and Iterative Forecasts Identical?
Although both direct multi-step-ahead forecasting and iterated one-step-ahead forecasting are two popular methods for predicting future values of a time series.


Working Paper
Comparing X-13ARIMA-SEATS Diagnostics for Quarterly Series
X-13ARIMA-SEATS has several diagnostics for determining whether a time series is seasonal and for detecting residual seasonality in an adjusted series.


Working Paper
Investigating the Behavior of X-13ARIMA-SEATS Seasonal Adj. Revisions
We assess the fluctuation of the seasonally adjusted estimates and how quickly they stabilize to a final value.


Working Paper
Optimal Real-Time Filters for Linear Prediction Problems
The model-based paradigm in time series analysis is rooted in the Wold decomposition of the data-generating process into an uncorrelated white noise process.


Working Paper
Signal Extraction for Non-stationary Multivariate Time Series ...


Working Paper
The Effect of Forecast Quality on Seasonal Adjustment Revisions
When data are available, the X-11 method uses symmetric moving average filters, utilizing the same amount of data before and after the point of interest.


Working Paper
Spectral Density and Spectral Distribution Inference
This paper studies taper-based estimates of the spectral density utilizing a fixed bandwidth ratio asymptotic framework.


Working Paper
Asymptotic Theory Of Cepstral Random Fields
This paper studies the cepstral random field model, providing formulas that connect spatial cepstral coefficients to an equivalent moving-average random field.


Working Paper
Optimal Signal Extraction with Correlated Components
This paper provides the mean square error optimal formulas for both finite samples and bi-infinite samples.


Working Paper
The Effect of Forecasting on X-11 Adjustment Filters
This research looks into the effect of forecast extension on the overall seasonal adjustment filter.


Working Paper
The multiple testing problem for Box-Pierce statistics
We derive the joint asymptotic distribution for Box-Pierce statistics, and use these results to determine appropriate critical values in joint testing problems.


Working Paper
Distribution Theory for the Studentized Mean
We consider the problem of estimating the variance of the partial sums of a stationary time series.


Working Paper
A State Space Modeling Graphical User-Interfaced Environment
The SSM (State Space Modeling) module for the iMetrica software is a graphical user-interfaced time series modeling and simulation environment.


Working Paper
Graphical UI Time Series Modeling and Simulation Environment
The uSimX13 module for the iMetrica software is a graphical user-interfaced time series modeling and simulation environment.


Working Paper
Modeling Recession Effects and the Consequences on Seasonal Adjustment
The 2008 U.S. recession generated many questions as to whether the large declines observed in many time series affected their seasonal adjustments.


Working Paper
Multi-Step-Ahead Estimation of Time Series Models
We study the fitting of time series models via the minimization of a multi-step-ahead forecast error criterion.


Working Paper
X-13ARIMA-SEATS and iMetrica
This paper will give the latest developments in two ongoing software projects.


Working Paper
Forecasting Continuous-Time Processes to Signal Extraction
The paper derives forecasting and signal extraction estimates for continuous time processes.


Working Paper
The Perils of Inferring Serial Dependence from Sample Autocorrelations
We demonstrate that oscillatory patterns in the higher lags of sample autocorrelations can arise whenever the true process is a finite order MA.


Working Paper
A Conversation with David Findley
David Findley has published more than 40 journal articles and book chapters, as well as dozens of technical reports and conference proceedings.

Page Last Revised - October 28, 2021
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