The purpose of this paper is to focus on the rigidity model and illustrate some relationships between the typical use of the model and a version of it involving first differences in the dependent variable. These relationships will be extended to least squares estimation of rigidity models. A useful correspondence between least squares estimates of the typical model and the first difference model will be demonstrated
It is by now well known that in the presence of lagged dependent variables and serially correlated e...
Empirical analysis often involves using inexact measures of desired predictors. The bias created by ...
Polynomial distributed lag models (PDLs) are finite-order distributed lag models with the impulse–re...
The purpose of this paper is to focus on the rigidity model and illustrate some relationships betwee...
Let us assume that a linear relationship exists between a variable Yt and k—1 explanatory variables ...
The finite distributed lag models include highly correlated variables as well as lagged and unlagged...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
The finite distributed lag models include highly correlated variablesas well as lagged and unlagged ...
The purpose of linearly distributed lag models is to estimate, from time series data, values of the ...
The hypothesis that the successive prices in the past have an exponentially diminish-ing effect on d...
We consider a lag-augmented two- or three-stage least-squares estimator for a structural dynamic mod...
This article examines the problem of determining the future value of the dependent varia...
NBER Working Paper No. 77The article of record as published may be found at http://dx.doi.org/10.338...
The finite distributed lag models include highly correlated variables, lagged and unlagged values of...
M.Com. (Economics)In this study the use of distributed lags in the estimation of econometric equatio...
It is by now well known that in the presence of lagged dependent variables and serially correlated e...
Empirical analysis often involves using inexact measures of desired predictors. The bias created by ...
Polynomial distributed lag models (PDLs) are finite-order distributed lag models with the impulse–re...
The purpose of this paper is to focus on the rigidity model and illustrate some relationships betwee...
Let us assume that a linear relationship exists between a variable Yt and k—1 explanatory variables ...
The finite distributed lag models include highly correlated variables as well as lagged and unlagged...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
The finite distributed lag models include highly correlated variablesas well as lagged and unlagged ...
The purpose of linearly distributed lag models is to estimate, from time series data, values of the ...
The hypothesis that the successive prices in the past have an exponentially diminish-ing effect on d...
We consider a lag-augmented two- or three-stage least-squares estimator for a structural dynamic mod...
This article examines the problem of determining the future value of the dependent varia...
NBER Working Paper No. 77The article of record as published may be found at http://dx.doi.org/10.338...
The finite distributed lag models include highly correlated variables, lagged and unlagged values of...
M.Com. (Economics)In this study the use of distributed lags in the estimation of econometric equatio...
It is by now well known that in the presence of lagged dependent variables and serially correlated e...
Empirical analysis often involves using inexact measures of desired predictors. The bias created by ...
Polynomial distributed lag models (PDLs) are finite-order distributed lag models with the impulse–re...