Showing 1 - 10 of 10
Multi-criteria decision analysis (MCDA) is well equipped to deal with conflicting, qualitative objectives when evaluating strategic options. Scenario planning provides a framework for confronting uncertainty, which MCDA lacks. Integration of these methods offers various advantages, yet its...
Persistent link: https://www.econbiz.de/10011126098
consistency of the least squares estimator of the cointegrating vector allowing for both smooth and discontinuous transition …
Persistent link: https://www.econbiz.de/10010928743
In judgment aggregation, unlike preference aggregation, not much is known about domain restrictions that guarantee consistent majority outcomes. We introduce several conditions on individual judgments sufficient for consistent majority judgments. Some are based on global orders of propositions...
Persistent link: https://www.econbiz.de/10010746419
Bajari, Benkard and Levin (2007) propose an estimation methodology for a broad class of dynamic optimization problems. To carry out their procedure, one needs to select a set of alternative policy functions and compare the implied expected payoffs with that from the data. We show that this can...
Persistent link: https://www.econbiz.de/10011126033
dependent errors, are considered for observations over time, space or space-time. Consistency and asymptotic normality of … many in which consistency of a vector of parameter estimates (which converge at different rates) cannot be established by … present a generic consistency result.J …
Persistent link: https://www.econbiz.de/10011126136
We provide a direct proof for consistency and asymptotic normality of Gaussian maximum likelihood estimators for causal …
Persistent link: https://www.econbiz.de/10011126193
We provide a direct proof for consistency and asymptotic normality of Gaussian maximum likelihood estimators for causal …
Persistent link: https://www.econbiz.de/10011126410
This paper examines the Gaussian maximum likelihood estimator (GMLE) in the context of a general form of spatial autoregressive and moving average (ARMA) processes with finite second moment. The ARMA processes are supposed to be causal and invertible under the half-plane unilateral order, but...
Persistent link: https://www.econbiz.de/10011126532
This paper studies the sparsistency and rates of convergence for estimating sparse covariance and precision matrices based on penalized likelihood with nonconvex penalty functions. Here, sparsistency refers to the property that all parameters that are zero are actually estimated as zero with...
Persistent link: https://www.econbiz.de/10011071205
cointegration, the consistency proof of these implicitly-defined estimates is nonstandard due to the β estimate converging faster …
Persistent link: https://www.econbiz.de/10011071412