Econometric assessment: methods, data and estimation results
Data Assimilation Methods for Neuronal State and Parameter Estimation
... the results of these runs, as discussed further ...state estimation results when the observed voltage is from the SNIC regime, but the UKF is initialized with parameter guess corresponding to the ...
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The impact of estimation methods and data frequency on the results of long memory assessment
... Price and volume data comes from contracts for difference (CFDs). CFD is an agreement between two parties – “buyer” and “seller” – to exchange the difference between the current value of an underlying asset and ...
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Econometric Methods for Panel Data
... The two-way fixed-effects model Two-way LSDV estimation By construction, OLS regression on X and all time and individual dummies yields the BLUE for the model. Direct regression requires the inversion of a (K + N ...
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Econometric Issues and Methods in the Estimation of Production Functions
... these results, one might be tempted to "claim victory": if the true model is such that there are stochastic shocks (independent of productivity) in the costs of adjusting inputs, then the panel data GMM ...
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A survey of econometric methods for mixed-frequency data
... Kuzin, Marcellino and Schumacher (2012) discuss nowcast pooling versus nowcasting of GDP growth for several countries, with single models in the presence of model uncer- tainty, with mixed-frequency and ragged-edge ...
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Labor supply and expenditures: econometric estimation from Chinese household data
... comparable results for urban men and women, ownership types of self-employed and private enterprise are combined to make a new private sector ownership type for men and ...
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Three Essays in Econometric Methods
... selection methods allows researchers to pick only a few subsets of the 2 p possible models resulting from combining p variables, but traditional techniques, such as the Andrews (1999) and Andrews and Lu (2001) ...
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Econometric methods for research in education
... the estimation of school and teacher ...panel data to account for student or family fixed effects, changes sizeable enough to induce geographic moves are likely also to have direct ef- fects on ...
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Statistical and Econometric Methods for Transportation Data Analysis by S P Washington
... the transfer function models, the vector autoregressive models, and the state- space (Kalman filter) models. Kalman filters are the most general of all multivariate models and are briefly reviewed here. Before proceeding, ...
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Spatial Chow-Lin Methods for Data Completion in Econometric Flow Models
... population and Dist ij is the Euclidean distance between region i and region j. The results of this estimation are given in Table 1. The signs of the coefficients are as expected by theory. GDP and ...
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Econometric Estimation of Energy Demand Elasticities
... further econometric studies where the translog frontiers provide “global approximations” to the input and output ...those results and applied the same methodology with a pooled international time series ...
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Estimation Methods for Data Subject to Detection Limits
... the results to substitution methods and Tobit ...substitution methods. All the methods previously mentioned here concern models with either a censored re- sponse and fully-observed covariates, ...
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Evaluating simplified methods for liquefaction assessment for loss estimation
... liquefaction assessment methods: liquefaction po- tential index (LPI) calculated from shear-wave velocity, the HAZUS software method and a method created specifically to make use of USGS remote sensing ...
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A new questionnaire for assessment of adverse events associated with triptans: methods of assessment influence the results. Preliminary results
... unprompted questionnaire said they had only one adverse event, while most reported two or more side effects in the prompted question- naire. Both in the unprompted and in the prompted questionnaires, most side effects ...
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Econometric estimation of country-specific hospital costs
... missing data [57,59,62,63]. First, five completed-data sets are created by imputing the unobserved data five times, using five independent draws from an imputation ...unobserved data and the ...
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Nonparametric estimation of econometric models with categorical variables
... In chapter II, we study the theoretical properties of a data-driven least squares cross-validation method for selecting the smoothing parameters in a regression model when all regressors are discrete. We consider ...
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Models and Estimation Methods for Distribution of Scores for Functional Data.
... Covariance matrix rank can be selected by calculating percent of variance explained or by using an information metric, such as BIC or WAIC. B.2 FPCA Results in Simulation Study Figure B.1 through Figure B.4 show ...
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Practical estimation methods for linked employer-employee data
... employer-employee data is not yet ...various econometric issues to overcome, which mean that routine techniques and packages cannot be ...these methods more accessible, where possible, and then show ...
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Practical estimation methods for linked employer-employee data
... employer-employee data is not yet ...various econometric issues to overcome, which mean that routine techniques and packages cannot be ...these methods more accessible, where possible, and then show ...
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Estimation Methods for Microarray Data with Missing Values:A Review
... the estimation with BPCA may not be accurate if genes have dominant local similarity ...two methods manifest an apparent trade-off between local and global information and their combination becomes an ...
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