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The Fixed Effect Model (FEM)

A Fixed Effect Model of Endogenous Integration Decision and Its Competitive Effects

A Fixed Effect Model of Endogenous Integration Decision and Its Competitive Effects

... The model has an empirical implication. A structural model which estimates elasticity values of a log profit function by analyzing v i as a proxy whenever the data contains the number of different titles ...

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Panel data Fixed Effect Model for Profitability Determinants: Referencing to S&P BSE Sensex

Panel data Fixed Effect Model for Profitability Determinants: Referencing to S&P BSE Sensex

... Table 2 reveals that the probability is less than 5 percent, which means that the dummy variables are nonzero. Hence fixed effect panel model is suitable for the study. The descriptive statistics for ...

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Progression-free survival Fixed effect model Rank 1 Rank 2Rank 3Rank 4SUCRA

Progression-free survival Fixed effect model Rank 1 Rank 2Rank 3Rank 4SUCRA

... Figure S2. – Forest plot from the random effect model in the ITT population (Online only). Forest plot of the indirect comparison between each combination for the 3 outcomes in the ITT population with ...

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Fixed-Effect Versus Random-Effects Models

Fixed-Effect Versus Random-Effects Models

... either model the confidence interval for the effect size in each study would have a width approaching zero, since we know the effect size in that study with perfect ...the fixed-effect ...

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Effects of Capital Structure on Profitability of the Manufacturing Industry: Testing the Fixed and Random Effect Model on Selected Firms in Ghana

Effects of Capital Structure on Profitability of the Manufacturing Industry: Testing the Fixed and Random Effect Model on Selected Firms in Ghana

... the fixed effect model, the findings revealed that short term debt and long term debt had a negative impact on productivity whilst equity was positively related to ...

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Estimating fixed effect panel stochastic frontier models by model transformation

Estimating fixed effect panel stochastic frontier models by model transformation

... true fixed-effect stochastic frontier model which, in theory, may be biased by the incidental parameters ...by model transformations owing to the nonlinearity of the stochastic frontier ...

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Fixed-Effect Regressions on Network Data

Fixed-Effect Regressions on Network Data

... regression model with agent-specific ...regression model to matched employer-employee data decomposes (log) wages into worker heterogeneity, firm heterogeneity, and residual ...

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Fixed effects model was used to analyse the effect of internal and external factors on the profitability of banks in Pakistan

Fixed effects model was used to analyse the effect of internal and external factors on the profitability of banks in Pakistan

... Conclusion Generally, it is agreed that an efficient and effective banking sector is critical for the sustainable growth of an economy. A developed banking sector provides the impetus for the economy to grow. However, in ...

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Robust estimation methods for fixed effect panel data model having block-concentrated outliers

Robust estimation methods for fixed effect panel data model having block-concentrated outliers

... the fixed effect panel data model under the influence of ...on fixed effect parameter estimation in their ...with fixed effect in the presence of ...

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Effect of Water Price on the Multicrop Production Decision: Appling Fixed Allocatable Input Model in Georgia

Effect of Water Price on the Multicrop Production Decision: Appling Fixed Allocatable Input Model in Georgia

... Table 2 lists the coefficients of the probit model to estimate the crop selection for multicrop planting farmers. According to Table 2, water price does not play the key role to affect the crop’s selection. This ...

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Examining the effect of residual spatial autocorrelation on fixed effect estimation

Examining the effect of residual spatial autocorrelation on fixed effect estimation

... Conclusions. In this thesis we have considered if there is an improvement in terms of covariate estimation by allowing for residual spatial autocorrelation, and, if allowing for this autocorrelation is better, which ...

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Nonparametric Slope Estimators for Fixed-Effect Panel Data

Nonparametric Slope Estimators for Fixed-Effect Panel Data

... as fixed or random is dependent on how the sample is drawn from the ...the fixed effect model, the cross sectional effect capturing the cross- section heterogeneity is not a part of the error but is a ...

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Split-panel jackknife estimation of fixed-effect models

Split-panel jackknife estimation of fixed-effect models

... remains fixed while the number of cross-sectional units, N , grows ...the fixed ef fects from inference about the common parameters, for example, by conditioning on a sufficient statistic, as in logit ...

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a panel data analysis using fixed and random effect

a panel data analysis using fixed and random effect

... the effect of Free Trade Agreement of Indonesia on its export performance using panel ...using fixed and random effect model to analyze the panel ...between Fixed and Random ...

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Split-Panel Jackknife Estimation of Fixed-Effect Models

Split-Panel Jackknife Estimation of Fixed-Effect Models

... Keywords: bias reduction, dependent data, incidental-parameter problem, jackknife, nonlinear model. INTRODUCTION The analysis of panel data plays an important role in empirical economics. Starting with classic ...

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Robust Parameter Estimation for Fixed Effect Panel Data Model in the Presence of Heteroscedasticity and High Leverage Points by Robust Method

Robust Parameter Estimation for Fixed Effect Panel Data Model in the Presence of Heteroscedasticity and High Leverage Points by Robust Method

... Fixed effect (FE) panel data model is used when the individual specific effect (unobserved time invariant effects) is correlated with the explanatory variables (V´ıˇ sek, ...the model ...

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Robust diagnostic and robust estimation methods for fixed effect panel data model in presence of high leverage points and multicollinearity

Robust diagnostic and robust estimation methods for fixed effect panel data model in presence of high leverage points and multicollinearity

... 1 INTRODUCTION 1.1 Background and Purposes Regression analysis is a statistical process for estimating the linear relationships between two or more variables. It involves several techniques for modeling and analyzing ...

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An ANP-based Model for Location of Fixed Speed Cameras

An ANP-based Model for Location of Fixed Speed Cameras

... presence, effect of traffic control equipment, lighting conditions, history of accidents (in the last three years), and land use adjacent to the studied road ...

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Not so harmless after all : the fixed effects model

Not so harmless after all : the fixed effects model

... an effect on the ...unit fixed effects on average produce coefficients for the LDV that are closer to ...a fixed effects specification produces less biased estimates of the LDV ...

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Linear mixed model with fixed effects in the residual variance

Linear mixed model with fixed effects in the residual variance

... linear model approach offers new possibilities to fit generalized linear mod- els with random ...include fixed ef- fects in a model for the residual variance, fits mod- els where the random ...

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