Showing 1 - 10 of 102
implementing a Bayesian MCMC algorithm, which is adjusted for sampling the seasonal volatility level effects. We compute in …
Persistent link: https://www.econbiz.de/10005702592
The usual index of leading indicators has constant weights on its components and is therefore implicitly premised on the assumption that the dynamical properties of the economy remain the same over time and across phases of the business cycle. We explore the possibility that the business cycle...
Persistent link: https://www.econbiz.de/10005328932
-driven bandwidth as the dimension of data increases. We provide Markov chain Monte Carlo (MCMC) algorithms for estimating optimal … studies for bivariate data show that the MCMC algorithm generally performs better than the plug-in algorithm under the …) criterion. Numerical studies for 5 dimensional data show that our algorithm is superior to the normal reference rule. Our MCMC …
Persistent link: https://www.econbiz.de/10005702571
This paper presents Bayesian methodology for the estimation of a bivariate probit model with an endogenous effect and both parametric linear and flexible semiparametric exogenous effects. The model is prompted by an analysis of the utilisation of health services in Australia using data from the...
Persistent link: https://www.econbiz.de/10005702572
Filtering techniques are often applied to the estimation of dynamic latent variable models. However, these techniques are often based on a set assumptions which restrict models to be specified in a linear state-space form. Numerical filtering techniques have been propsed that avoid invoking such...
Persistent link: https://www.econbiz.de/10005702536
We show that the higher order biases of instrumental variable statistics in the strong instrument case indicate the degeneracy of the first order asymptotic distributions of these statistics under weak or many instrument asymptotics. We express the higher order approximations using an estimator...
Persistent link: https://www.econbiz.de/10005328971
We consider the estimation of a large number of GARCH models, say of the order of several hundreds. Especially in the multivariate case, the number of parameters is extremely large. To reduce this number and render estimation feasible, we regroup the series in a small number of clusters. Within...
Persistent link: https://www.econbiz.de/10005328977
Abstract In many areas of economic analysis, economic theory restricts the shape as well as other characteristics of functions used to represent economic constructs. Obvious examples are the monotonicity and curvature conditions that apply to utility, profit, and cost functions. Commonly, these...
Persistent link: https://www.econbiz.de/10005342199
We construct higher order expressions for Wald and Lagrange multiplier (LM) GMM statistics that are based on 2step and continuous updating estimators (CUE). We show that the sensitivity of the limit distribution to weak and many instruments results from superfluous elements in the higher order...
Persistent link: https://www.econbiz.de/10005342218
What brings persistence into the macroeconomy? This is one of the big unresolved issues in current macroeconomic theory. Economic models, in fact, typically struggle to imply levels of persistence comparable to those observed in the data. Most of the persistence is therefore introduced by highly...
Persistent link: https://www.econbiz.de/10005342244