Economists and econometricians very often work with data which has been temporally disaggregated prior to use. Hence, the quality of the disaggregation clearly affects the quality of the analyses. Building on Chow and Lin's (1971) disaggregation model this paper proposes a new estimation approach and a specification test which assesses the quality of the disaggregation model. An advantage of the proposal is that estimation and testing can both be pursued using the aggregated data while the standard method requires a mixture of high and low frequency data. A small simulation study shows that the test indeed provides useful information
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
Many central statistical offices use indirect time series disaggregation methods to produce quarterl...
The paper documents and illustrates state space methods that implement time series disaggregation by...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Econometrics modeling often implies the use of a number of time series data,some of which could be a...
This paper discusses alternative methods of testing for aggregation bias and proposes direct tests o...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The quarterly estimation of National Accounts provides a coherent framework of the short-terms dynam...
Temporal disaggregation is a method commonly used in official statistics to enable high-frequency es...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
Many central statistical offices use indirect time series disaggregation methods to produce quarterl...
The paper documents and illustrates state space methods that implement time series disaggregation by...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Simulation methods are used to measure the expected differentials between the Mean Square Errors of ...
Econometrics modeling often implies the use of a number of time series data,some of which could be a...
This paper discusses alternative methods of testing for aggregation bias and proposes direct tests o...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The quarterly estimation of National Accounts provides a coherent framework of the short-terms dynam...
Temporal disaggregation is a method commonly used in official statistics to enable high-frequency es...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
The paper advocates the use of state space methods to deal with the problem of temporal disaggregati...
Many central statistical offices use indirect time series disaggregation methods to produce quarterl...
The paper documents and illustrates state space methods that implement time series disaggregation by...