A stochastic-simulation method is proposed in this paper for obtaining median unbiased estimates of lagged dependent variable coefficients in macroeconomic models. Estimated biases for 13 equations of a macroeconomic model are computed. These biases are on average somewhat smaller in absolute bias than would be expected from Andrews’ exact results for an equation with only a constant term, time trend, and lagged dependent variable, although they are larger than would be expected from Hurwicz’s original estimates. In a practical sense the estimated biases are not very large because they have little effect on the overall predictive accuracy of the model and on its multiplier properties
Most rational expectations models involve equations in which the dependent variable is a function of...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
Stochastic simulation with antithetic variates is used to evaluate the bias of deterministic simulat...
A stochastic-simulation method is proposed in this paper for obtaining median unbiased estimates of ...
A stochastic simulation model is proposed in this paper for obtaining median unbiased (MU) estimates...
We give an expression to order O( T-1 ), where T is the sample size, for bias to the estimated coeff...
A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effec...
A common procedure in economics is to estimate long-run effects from models with lagged dependent va...
This paper estimates, using stochastic simulation and a multicountry macroeconometric model, the fra...
A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effec...
We use a Monte Carlo approach to investigate the performance of several different methods designed t...
SIGLELD:3597.444(160) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Employing small—sigma (o-) asymptotics we approximate the small—sample bias of the ordinary least—sq...
There has been much recent discussion about the ultimate sources of macroeconomic variability. A num...
There has been much recent discussion about the ultimate sources of macroeco-nomic variability. A nu...
Most rational expectations models involve equations in which the dependent variable is a function of...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
Stochastic simulation with antithetic variates is used to evaluate the bias of deterministic simulat...
A stochastic-simulation method is proposed in this paper for obtaining median unbiased estimates of ...
A stochastic simulation model is proposed in this paper for obtaining median unbiased (MU) estimates...
We give an expression to order O( T-1 ), where T is the sample size, for bias to the estimated coeff...
A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effec...
A common procedure in economics is to estimate long-run effects from models with lagged dependent va...
This paper estimates, using stochastic simulation and a multicountry macroeconometric model, the fra...
A lagged dependent variable in an OLS regression is often used as a means of capturing dynamic effec...
We use a Monte Carlo approach to investigate the performance of several different methods designed t...
SIGLELD:3597.444(160) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Employing small—sigma (o-) asymptotics we approximate the small—sample bias of the ordinary least—sq...
There has been much recent discussion about the ultimate sources of macroeconomic variability. A num...
There has been much recent discussion about the ultimate sources of macroeco-nomic variability. A nu...
Most rational expectations models involve equations in which the dependent variable is a function of...
AbstractDistributed lag models are a type of dynamic econometric model often used in demand analysis...
Stochastic simulation with antithetic variates is used to evaluate the bias of deterministic simulat...