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Retrieval from Mixed Sampling Frequency: Generic Identifiability in the Unit Root VAR

Philipp Gersing, Leopold Soegner, Manfred Deistler

arXiv 12 Apr 2022 · Econometrics · publishedMetrika (2025)

arXiv:2204.05952 · PDF · DOI · OpenAlex · Extracted main text

Abstract

The "REtrieval from MIxed Sampling" (REMIS) approach based on blocking developed in Anderson et al. (2016a) is concerned with retrieving an underlying high frequency model from mixed frequency observations. In this paper we investigate parameter-identifiability in the Johansen (1995) vector error correction model for mixed frequency data. We prove that from the second moments of the blocked process after taking differences at lag N (N is the slow sampling rate), the parameters of the high frequency system are generically identified. We treat the stock and the flow case as well as deterministic terms.

Citation extraction

28
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97
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Chambers, M. J (2020) Frequency domain estimation of cointegrating vectors with mixed frequency and mixed sample data0.90912775%
2Anderson, B., Deistler, M., Felsenstein, E., Funovits, B., and Zaman… (2016) Multivariate AR systems and mixed frequency data: g-identifiability and estimation self0.84918961%
3Deistler, M. and Scherrer, W (2022) Time Series Models self0.8434475%
4Johansen, S (1995) Likelihood-based Inference in Cointegrated Vector Autoregressive Models0.79410850%
5Miller, J. I (2016) Conditionally efficient estimation of long-run relationships using mixed-frequency time series0.7375340%
6Deistler, M. and Seifert, H.-G (1978) Identifiability and consistent estimability in econometric models self0.73732100%
7Hannan, E. and Deistler, M (2012) The Statistical Theory of Linear Systems self0.7218538%
8Bauer, D. and Wagner, M (2012) A state space canonical form for unit root processes0.6936433%
9Anderson, B., Deistler, M., Felsenstein, E., and Koelbl, L (2016) The structure of multivariate AR and ARMA systems: Regular and singular systems, the single and the mixed frequency case self0.64422100%
10Gabrielsen, A (1978) Consistency and identifiability0.64422100%

Showing the top 10 of 28 scored citations.