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Differences in estimated parameters depending on the frequency of aggregate data have been reported in several fields of economic research. Some differences are due to seasonal variations in demand, but temporal aggregation bias is reported even in seasonally adjusted models. These biases have...
Persistent link: https://www.econbiz.de/10004980792
In the aggregation literature, prices and price and income derivatives are often assumed not to vary across consumers. These assumptions may not be fulfilled: prices often vary and consumers are heterogeneous in the way they respond to price and income changes. In this paper we develop and...
Persistent link: https://www.econbiz.de/10011968259
, consumption growth and wealth, and labor participation and wages. Each area involves treatment of heterogeneity and nonlinearity … at the individual level. Three types of heterogeneity are highlighted: heterogeneity in individual tastes, heterogeneity … in income and wealth risks, and heterogeneity in market participation. Work in each area is illustrated using results …
Persistent link: https://www.econbiz.de/10014024947
In the aggregation literature, prices and price and income derivatives are often assumed not to vary across consumers. These assumptions may not be fulfilled: prices often vary and consumers are heterogeneous in the way they respond to price and income changes. In this paper we develop and...
Persistent link: https://www.econbiz.de/10004980777
In this paper we characterize what has sometimes been referred to in the literature as instantaneous causality, by examining the consequences of temporal aggregation in (possibly) Granger causal systems of variables. Our approach is to compare the concept of contemporaneous correlation due to...
Persistent link: https://www.econbiz.de/10010309900
In this paper we show analytically, with simulation experiments and with actual data that a mismatch between the time scale of a DSGE model and that of the time series data used for its estimation generally creates identfication problems, introduces estimation bias and distorts the results of...
Persistent link: https://www.econbiz.de/10012143827
A mismatch between the time scale of a structural VAR (SVAR) model and that of the time series data used for its estimation can have serious consequences for identification, estimation and interpretation of the impulse response functions. However, the use of mixed frequency data, combined with a...
Persistent link: https://www.econbiz.de/10012143839
The literature on causality takes contradictory stands regarding the direction of causal relationships based on whether one uses temporally aggregated or systematically sampled data. Using the relationship between a nominal target and the instrument used to achieve it, as an example, we show...
Persistent link: https://www.econbiz.de/10005076200
Several tests for nonlinear causality are available on the literature. In this paper we investigate the effects of temporal aggregation and systematic sampling using some well known linear and nonlinear Granger causality tests. The conducted Monte Carlo simulation experiments and the empirical...
Persistent link: https://www.econbiz.de/10010815151
The temporal aggregation effect on seasonal unit roots and its implications for seasonal unit root testing are discussed. The aggregation effect allows to test with any HEGY-type method for integration at the harmonic frequencies through the Nyquist frequency of properly temporally aggregated...
Persistent link: https://www.econbiz.de/10005198789