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- Panel Data Models

GMM Gradient Tests for Spatial Dynamic Panel Data Models

GMM Gradient Tests for Spatial Dynamic Panel Data Models

... spatial panel data models, see Anselin et ...spatial panel data models when both the number of individuals and the number of time periods are large under various ...dynamic ...

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Spatial panel data models with structural change

Spatial panel data models with structural change

... Spatial panel data models are widely used in empirical ...spatial models so far have largely confine the analysis under the assump- tion of parameters ...spatial panel data ...

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Granger causality in dynamic binary short panel data models

Granger causality in dynamic binary short panel data models

... binary panel data models that accounts for feedback effects from the past of the outcome variable on the present value of ...nonlinear panel data models, introduced by ...

35

The formulation and estimation of random effects panel data models of trade

The formulation and estimation of random effects panel data models of trade

... The Formulation and Estimation of Random Effects Panel Data Models of Trade Laszlo Matyas1 Central European University Cecilia Hornok Central European University and Daria Pus Central Eu[r] ...

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Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects

Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects

... dynamic panel data ...equation models, Kunitomo (1980), Morimune (1983), and Bekker (1994) showed that the two stage least squares (2SLS) estimator is inconsistent as the number of the instruments ...

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Estimating Semiparametric Panel Data Models by Marginal Integration

Estimating Semiparametric Panel Data Models by Marginal Integration

... The rest of the paper is organized as follows. The next section presents the model, describes our methodology, and gives asymptotic properties of our estimators. We first consider panel data models ...

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Theory and methods of panel data models with interactive effects

Theory and methods of panel data models with interactive effects

... This paper considers the maximum likelihood estimation of panel data models with interactive effects. Motivated by applications in eco- nomics and other social sciences, a notable feature of the ...

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Estimation and inference in mixed fixed and random coefficient panel data models

Estimation and inference in mixed fixed and random coefficient panel data models

... various panel data models as special ...heterogeneous panel data, to highlight similarities and differences with the EM-REML ...

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EM estimation of dynamic panel data models with Heteroskedastic Random Coefficients

EM estimation of dynamic panel data models with Heteroskedastic Random Coefficients

... We show how to combine the EM algorithm with the restricted maximum likelihood (REML) approach to estimate a general class of dynamic heterogeneous panels. We also review the existing sampling and Bayesian methods ...

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Point And Density Forecasts In Panel Data Models

Point And Density Forecasts In Panel Data Models

... in panel data models. The panel considered in this paper features large cross-sectional dimension (N) but short time series ...large panel of bank holding companies and compare ...

242

Identification of Panel Data Models with Endogenous Censoring

Identification of Panel Data Models with Endogenous Censoring

... Most of the existing work in the literature on nonstationary nonlinear panel data models requires a large number of time periods- see e.g. Moon and Phillips (2000). One exception is Chen and Khan ...

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Robust linear static panel data models using epsilon contamination

Robust linear static panel data models using epsilon contamination

... static panel data models using ...the data-dependent empirical Bayes ...classic panel estimators using data on earnings and ...

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Efficient estimation of heterogeneous coefficients in panel data models with common shock

Efficient estimation of heterogeneous coefficients in panel data models with common shock

... This paper investigates efficient estimation of heterogeneous coefficients in panel data models with common shocks, which have been a particular focus of recent theo- retical and empirical ...

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Partial effects estimation for fixed effects logit panel data models

Partial effects estimation for fixed effects logit panel data models

... Table 2 reports the simulation results, from which it emerges that the proposed esti- mator exhibits a better finite sample performance than the half-panel jackknife estimator. Notice also that the jackknife ...

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R Codes to Calculate GMM Estimations for Dynamic Panel Data Models

R Codes to Calculate GMM Estimations for Dynamic Panel Data Models

... These codes presented three functions for calculating three important estimators in dynamic panel data (DPD) models; these estimators are Arellano-Bond (1991), Arellano- Bover (1995), and ...

7

Testing the exogeneity assumption in panel data models with "non classical" disturbances

Testing the exogeneity assumption in panel data models with "non classical" disturbances

... the panel data literature to test for the presence of random individual effects, such as a Gauss-Newton regression by Baltagi (1996) or that proposed by Ahn and Lo ...same panel data framework ...

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Small Sample Estimation in Dynamic Panel Data Models: A Simulation Study

Small Sample Estimation in Dynamic Panel Data Models: A Simulation Study

... Many panel data are usually formed from small samples of time points and/or panel units because of the structural change or random shocks that may occur in bigger/larger data- ...

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GMM Gradient Tests for Spatial Dynamic Panel Data Models

GMM Gradient Tests for Spatial Dynamic Panel Data Models

... In this study, we formulate the adjusted gradient tests when the alternative model used to construct tests deviates from the true data generating process for a spatial dynamic panel data[r] ...

36

New GMM Estimators for Dynamic Panel Data Models

New GMM Estimators for Dynamic Panel Data Models

... dynamic panel data (DPD) models, thegeneralized method of moments (GMM) estimation gives efficient ...Dynamic panel data,Generalized method of moments, Monte Carlo simulation, Optimal ...

12

Simulation estimation for panel data models with limited dependent variables

Simulation estimation for panel data models with limited dependent variables

... Practical simulation methods for panel data probit models based on recursive simulation o f probabilities Three classical methods of estimation for panel data probit models have been imp[r] ...

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