The Random Coefficient Model
Testing the Correlated Random Coefficient Model
... correlated random coefficient ...correlated random coefficient model to examine whether the additional complications associated with it are ...correlated random ...
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Detecting and Forecasting Large Deviations and Bubbles in a Near-Explosive Random Coefficient Model
... Explosive Random-Coefficient autoregressive model for asset pricing which accommodates both the fundamental asset value and the recurrent presence of autonomous deviations or ...the random ...
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Augmented Weighted Estimators Dealing with Practical Positivity Violation to Causal inferences in a Random Coefficient Model.
... a random coefficient model assumed for the potential outcome, we augment the IPTW estimating function with the estimated potential outcomes of treatment (or of control) for clusters that have no ...
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A Note on 'Bayesian analysis of the random coefficient model using aggregate data', an alternative approach
... 4 Conclusion Conclusion In summary, the proposed simple alternative estimation approach leads to accurate results, and the approach is shown to be capable of estimating the discussed model with a simpler ...
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Statistical inference in a random coefficient panel model
... Hence, in this contribution we complement the existing results in the literature by developing a full- ‡edged asymptotic theory for the WLS estimator of ' in (1.1). The WLS estimator avoids the issues described above, ...
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Statistical inference in a random coefficient panel model
... Hence, in this contribution we complement the existing results in the literature by developing a full- ‡edged asymptotic theory for the WLS estimator of ' in (1.1). The WLS estimator avoids the issues described above, ...
45
Statistical inference in a random coefficient panel model
... Hence, in this contribution we complement the existing results in the literature by developing a full- ‡edged asymptotic theory for the WLS estimator of ' in (1.1). The WLS estimator avoids the issues described above, ...
46
Estimation for random coefficient integer valued autoregressive model under random environment
... first-order random coefficient integer-valued autoregressive model based on the negative binomial thinning operator under r states random environment is ...proposed model, establishes Yule–Walker ...
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Test for parameter changes in generalized random coefficient autoregressive model
... Full list of author information is available at the end of the article Abstract In this paper, we study the problem of testing for parameter changes in generalized random coefficient autoregressive model ...
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A Structural Analysis of the Correlated Random Coefficient Wage Regression Model
... The model is implemented on a panel of white males taken from the National Longitudinal Survey of Youth ...lated random coe¢ cient wage regression model …ts wage data very ...programming model ...
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Asymptotic behavior of random coefficient INAR model under random environment defined by difference equation
... first-order random coefficient integer-valued autoregressive model under random environment by introducing a Markov chain with a finite state ...the random coefficient integer-valued autoregressive ...
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Local Influence Analysis of Varying Coefficient Model with Random Right Censorship
... this model, this paper studies the method and application of the diagnostic ...primary model is transformed to varying-coefficient model by using a general transformation ...the ...
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Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect
... unknown coefficient functions in the varying coeffi- cient model with random ...the model by taking the within-subject correlation into ...
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A Monte Carlo Study for Swamy’s Estimate of Random Coefficient Panel Data Model
... Swamy's random coefficient panel data (RCPD) ...this model by using Monte Carlo ...fixed, random, and ...are random and but it does not when regression coefficients are fixed or ...
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Fixed and random coefficient time series
... the random coefficient autoregressive model, since B^(t) , B^(t) and e(t) are not estimable ...a model is linear, the comparison of residual sums of squares might not be meaningful, because a ...
153
Random Coefficient Panel Data Models
... i = 1, ..., N, and t = 1, ..., T. Expression (2) corresponds to the most general specification of the panel linear data regression problem. It simply states that each individual has their own coefficients that are ...
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Modelling Replacement Demand: A Random Coefficient Approach
... Although it could be argued that the observed outflow is too high, this does not guarantee that the model estimations of net outflow are closer to reality. We have some points of reference, however. Firstly, we ...
30
Bayesian analysis of random coefficient autoregressive models
... RCAR model can be viewed as a three-level hierarchical ...unobserved random coefficients and the ...the model building procedure to be quite flexible from a Bayesian perspective but find it more ...
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On the quasi-likelihood estimation for random coefficient autoregressions
... Despite these nice properties, INAR or GINAR models have several limitations. For exam- ple they can be used to model positive time series only. However, negative-valued times series occur frequently, for example ...
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Random networks with given rich-club coefficient
... to model a network or generate a surrogate network based on the conservation of the network’s degree ...network model based on the conservation of connection density within a set of ...generated ...
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