[PDF] Top 20 Estimation and inference under economic restrictions
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Estimation and inference under economic restrictions
... institute under the Ministry of Agriculture in ...and economic data collected annually from about 1000 farms from different regions, farm size classes, and types of ... See full document
37
Approximate maximum likelihood estimation for population genetic inference
... indirect inference, Creel and Kristensen (2013) propose a simulated maximum indirect likelihood (SMIL) estimator that is also based on approximations of the likelihood by kernel density estimation on ... See full document
22
Accelerated estimation and inference for heritability of fMRI data
... heritability estimation and inference approaches with the goal of increasing computational efficiency and statistical sensitivity while controlling the type I error rate over the whole ...heritability ... See full document
132
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
... To facilitate the specification and composition of system matrices X, B (and their respective trans- poses) in a GLM, the glm-ie toolbox contains a specialised matrix class mat. As MVMs form the most important ... See full document
5
L Inference for shape parameter estimation
... the estimation of parameters can still be performed using only the likelihood ...the estimation relies on the as- sumption that the number of observations is big ... See full document
183
Joint inference on market and estimation risks in dynamic portfolios
... the inference of conditional VaRs of dynamic ...the estimation risk via asymptotic IC’s on the VaR parameter; iii) to obtain the minimal-VaR portfolios in closed form and estimate their conditional ... See full document
52
Accelerated estimation and permutation inference for ACE modeling
... poor estimation accuracy, it seems to work well with the power comparable to that of LR-SqD ...computed under the misspecified normality assumption can be inaccurate and the corresponding asymptotic null ... See full document
20
Essays in nonparametric estimation and inference
... nonparametric estimation and inference in the presence of measurement error has used deconvolution methods rather extensively, the interested reader is referred to the comprehensive survey of Schennach ... See full document
136
Semiparametric Estimation and Inference for Censored Regression Models.
... For the simplest Scenario 1 with homoscedastic error and covariate-independent censoring, all three methods give essentially unbiased estimation. The resampling procedure for the LBJ method works reasonably well. ... See full document
86
Estimation and inference in simultaneous equation models
... The q ue st i on of the robustness of an est i m a t o r 1s of c o ns i d e r a b l e I m p o r t a n c e . The eventual power of the model for either f o re c a s t i n g or policy analysis, as well as Its a c c ur a cy ... See full document
246
Improved inference and estimation in regression with overlapping observations
... Our paper does not address this problem of bias but focuses instead on the second problem, one which is specific to overlapping observations: the strong autocorrelation pattern induced by the overlapping scheme. It is ... See full document
32
Estimation and inference of FAVAR models
... Since the seminal work of Sims (1980), vector autoregressive (VAR) models have played an important role in macroeconomic analysis. Because the number of parameters in a VAR system increases rapidly with the number of ... See full document
59
Bayesian Inference Under Shape Constraints.
... Bayesian estimation of a shape- constrained function, it seems worth exploring if a point estimator resulting from the induced posterior can be used in quantifying uncertainty in estimating the value of the ... See full document
142
Empirical likelihood based inference in Poisson autoregressive model with conditional moment restrictions
... In order to compare the performance of the estimator (denoted by ALS) given by (.) with those of the ordinary least squares estimator (LS), the weighted least squares estima- tor (WLS), and the maximum likelihood ... See full document
13
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling
... online inference scheme to handle intractable conditional distributions of latent variables, with a proper use of local Gibbs sampling within online EM, that leads to significant improvements over variational ... See full document
45
High Dimensional Generalized Empirical Likelihood for Moment Restrictions with Dependent Data
... methods under high dimensionality of both the moment restrictions and the parameters of ...mean under high dimensional ...GMM estimation under high dimensionality and sparsity ...any ... See full document
45
The Economic Impacts of Restrictions on the Transportation of Petroleum Coke
... Several econometric estimation methods and specifications were pursued to de- termine the robustness of the results. The first issue concerns the time series properties of the data. Accordingly, all data are ... See full document
22
Securitisation of research : fieldwork under new restrictions in Darfur and Mali
... The combined effect of these ongoing transformations is hard to measure. One immediate tangible consequence seems to be the rising cost of fieldwork, as researchers must overcome a range of bureaucratic hurdles before ... See full document
27
COMPARISON OF JAMMING EXCISION METHODS FOR DIRECT SEQUENCE/SPREAD SPECTRUM (DS/SS) MODULATED SIGNAL
... channel estimation, which is dependent on the channel ...signal under channel imperfect conditions. In different approach of estimation, feedback estimators are used as a optimal estimation ... See full document
10
Economic indexes of maize under levels of water, nitrogen and planting seasons
... ha -1 , where the difference between them was 23% in relation to the lowest treatment. For season 1, the maximum physical yield of the crop estimated by the production function was 7,127 kg ha -1 obtained with a N dose ... See full document
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