We discuss here a method for identifying relationships between high-frequency and lowfrequency data based on a dynamic regression technique. This allows users to estimate a quarterly analogue to an underlying monthly regression equation. The resulting equation which may be non-linear in the...

The article proposes an iterative algorithm for the estimation of fixed and random effects of a nonlinearly aggregated mixed model. The latter arises when an additive Gaussian model is formulated at the disaggregate level on a nonlinear transformation of the responses, but information is...

This paper proposes a reduced rank regression framework for constructing coincident and leading indexes. Based on a formal definition that requires that the first differences of the leading index are the best linear predictor of the first differences of the coincident index, it is shown that the...

Pierce, Grupe, and Cleveland (1984) introduced a fixed regression approach to the problem of seasonal adjustment for weekly time series. Cleveland (1993) expanded this approach by adding locally-weighted regressions to allow for varying seasonal factors, and the Bureau of Labor Statistics...

The paper documents and illustrates state space methods that implement time series disaggregation by regression methods, with dynamics that depend on a single autoregressive parameter. The most popular techniques for the distribution of economic flow variables, such as Chow-Lin, Fern´andez and...

The paper documents and illustrates state space methods that implement time series disaggregation by regression methods, with dynamics that depend on a single autoregressive parameter. The most popular techniques for the distribution of economic flow variables, such as Chow-Lin, Fernandez and...

This paper examines the distributions of (zero frequency) unit root test statistics for I(1) processes in the presence of noninvertible moving average components. The analysis initially considers a noninvertible MA(1), for which the asymptotic distribution of the ADF test statistic under the...

The Bureau of Labor Statistics uses state-space time series models to produce small area labor force estimates from the monthly Current Population Survey (CPS). For each area, a separate model is fitted that combines a classical components model for the unobservable population values with a...

This work presents a comparison of different techniques for disaggregating annual flow time series by a quarterly related indicator, based on a Monte Carlo experiment. A first goal of the study is related to the estimation of the autoregressive parameter implied by the solution proposed by Chow...