Essays about: "Monte Carlo panel data"
Showing result 1 - 5 of 6 essays containing the words Monte Carlo panel data.
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1. Residual Spatial Correlation in Two-Way Error Panel Data Models
University essay from Lunds universitet/Statistiska institutionenAbstract : This thesis examines the spatial autocorrelation in residuals of two-way error panel data models. Three types of models are examined: the standard linear panel data model, the dynamic panel data model, and the spatial lag panel data model. READ MORE
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2. Half-panel jackknife estimation of GMM models with fixed effects
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : In empirical economics, the generalized method of moments (GMM) is one of the most widely used methods for estimating models with fixed effects, such as the dynamic panel model. For the dynamic panel model, the two most widely used GMM-based estimators are the so-called difference GMM and system GMM estimators. READ MORE
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3. A comparison of FDML and GMM for estimation of dynamic panel models with roots near unity
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis compares the performance of the first-differenced maximum likelihood estimator (FDML) and the Blundell-Bond continuously-updating system GMM estimator of the autoregressive parameter in an AR(1) dynamic panel model without exogenous covariates, particularly focusing on the close-to-non-stationary case. This case is far from trivial, as a high degree of persistence is the norm rather than the exception in economic panels. READ MORE
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4. The Accuracy of the Hausman Test in Panel Data: a Monte Carlo Study
University essay from Örebro universitet/Handelshögskolan vid Örebro UniversitetAbstract : .... READ MORE
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5. Growth Patterns of Start-Up Firms - A Cohort Study with a Quantile Regression Approach
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Using panel data for the cohort of Swedish limited companies established in 1997, this study analyzes the patterns and distributions of the firms' growth rates. After characterizing the growth patterns, we test the hypothesis that firm growth is essentially stochastic; a theory originating from Gibrat (1931). READ MORE