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Time Series and Seasonal Adjustment Working Papers

Time Series and Seasonal Adjustment Working Papers

The following papers of interest to researchers and seasonal adjustment experts are available for downloading.


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Working Paper
Using Daily Payment Processor Data
Daily retail transaction data provides insight on if and how consumers change spending behaviors around the Super Bowl.


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
Modeling of Holiday Effects and Seasonality in Daily Time Series
Modeling of Holiday Effects and Seasonality in Daily Time Series


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
Issues Related to the Modeling and Adjustment of High Frequency Tim...
Issues Related to the Modeling and Adjustment of High Frequency Time Series


Working Paper
Small Area Estimation - State Poverty Rate Model Research Data Files
Small Area Estimation - State Poverty Rate Model Research Data Files


Working Paper
Holiday Effects in Indian Manufacturing Series
Holiday Effects in Indian Manufacturing Series


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
Detecting Seasonality in Seasonally Adjusted Monthly Time Series
Detecting Seasonality in Seasonally Adjusted Monthly Time Series


Working Paper
X-13ARIMA-SEATS Reference Manual Accessible HTML Output Version
The X-13ARIMA-SEATS seasonal adjustment program is an enhanced version of the X-11 Variant of the Census Method II seasonal adjustment program.


Working Paper
Detection of Seasonality in the Frequency Domain
Detection of Seasonality in the Frequency Domain


Working Paper
Maximum Entropy-Value Seasonal Adjustment
Maximum Entropy-Value Seasonal Adjustment


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
Examining Diagnostics for Trading-Day Effects from X-13ARIMA-SEATS
Examining Diagnostics for Trading-Day Effects from X-13ARIMA-SEATS


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
Illuminating Model-Based Seasonal Adjustment with the First Order S...
Illuminating Model-Based Seasonal Adjustment with the First Order Seasonal Autoregressive and Airline Models


Working Paper
Unit Root Properties of Seasonal Adjustment and Related Filters: Sp...
Unit Root Properties of Seasonal Adjustment and Related Filters: Special Cases


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
Multivariate Seasonal Adjustment, Economic Identities, and Seasonal...
Multivariate Seasonal Adjustment, Economic Identities, and Seasonal Taxonomy


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
Effect of Trading Day Regressors on Seasonal Adjustment of Growth R...
Effect of Trading Day Regressors on Seasonal Adjustment of Growth Rates

Page Last Revised - November 22, 2021
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