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We study the impact of individual and temporal aggregation in linear static and dynamic models for panel data in terms …
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manufacturing for a panel of 41 developing and developed countries (1963-1992). We employ novel empirical methods which can …
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Single equation models are well established among academics and practitioners to perform temporal disaggregation of low frequency time series using available related series. In this paper, we propose an extension that exploits information from the cross-sectional dimension. More specifically, we...
Persistent link: https://www.econbiz.de/10011649195
Pseudo-panels allow estimation of panel models when only repeated cross-sections are available. This involves grouping … individuals into cohorts and using the cohort means as if they are observations in a genuine panel. Their practical use is … mimic panel estimates. We create two metrics for assessing the grouping process, one for each potential source of bias. If …
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For a panel data regression equation with two-way unobserved heterogeneity, individual-specific and period …
Persistent link: https://www.econbiz.de/10011585187
Indices of financial returns typically display sample kurtosis that declines towards the Gaussian value 3 as the sampling interval increases. This paper uses stochastic unit root (STUR) and continuous time analysis to explain the phenomenon. Limit theory for the sample kurtosis reveals that...
Persistent link: https://www.econbiz.de/10011948760
This paper proposes mixed-frequency distributed-lag (MFDL) estimators of impulse response functions (IRFs) in a setup where (i) the shock of interest is observed, (ii) the impact variable of interest is observed at a lower frequency (as a temporally aggregated or sequentially sampled variable),...
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