THE INFORMATION BOUND OF A DYNAMIC PANEL LOGIT MODEL WITH FIXED EFFECTS — CORRIGENDUM

2021 ◽  
pp. 1-1
Author(s):  
Jiaying Gu ◽  
Jinyong Hahn ◽  
Kyoo Il Kim
Keyword(s):  
Logit Model ◽  
Fixed Effects ◽  
Dynamic Panel ◽  
Information Bound

THE INFORMATION BOUND OF A DYNAMIC PANEL LOGIT MODEL WITH FIXED EFFECTS

2001 ◽  
Vol 17 (5) ◽  
pp. 913-932 ◽  
Author(s):  
Jinyong Hahn
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimator ◽  
Fixed Effects ◽  
Dynamic Panel Data ◽  
Consistent Estimator ◽  
Likelihood Estimator ◽  
Dynamic Panel ◽  
Conditional Maximum Likelihood ◽  
Information Bound ◽  
Conditional Maximum

In this paper, I calculate the semiparametric information bound in two dynamic panel data logit models with individual specific effects. In such a model without any other regressors, it is well known that the conditional maximum likelihood estimator yields a √n-consistent estimator. In the case where the model includes strictly exogenous continuous regressors, Honoré and Kyriazidou (2000, Econometrica 68, 839–874) suggest a consistent estimator whose rate of convergence is slower than √n. Information bounds calculated in this paper suggest that the conditional maximum likelihood estimator is not efficient for models without any other regressor and that √n-consistent estimation is infeasible in more general models.

scholarly journals The Effect of Optimal Cash and Deviation from Target Cash on the Firm Value: Empirical Study in Indonesian Firms

2019 ◽  
Vol 10 (1) ◽  
pp. 1-13
Author(s):  
R Heru Kristanto HC ◽  
Mamduh M Hanafi ◽  
Wayan Nuka Lantara
Keyword(s):  
Corporate Governance ◽  
Empirical Study ◽  
Firm Value ◽  
Fixed Effects ◽  
Cash Holdings ◽  
Cash Holding ◽  
Fixed Effects Model ◽  
Publicly Traded ◽  
Dynamic Panel ◽  
Panel Fixed Effects

The aim of this paper is to examine the effect of cash, optimal cash holding, deviation from target cash (the target adjustment model) on the firm value. This research uses a sample of Indonesian publicly traded firms for the period 2001-2017 (3,349 observation). This paper uses a dynamic panel fixed effects model to estimate optimal cash holdings. Hypothesis testing uses GLS fixed effect and interaction effect uses regression moderated analysis. Research finds that: first, cash, optimal cash, and deviation from target cash have an effect on the firm value. Second, corporate governance moderates the effect of cash, optimal cash, and deviation from target cash on the firm value. Third, investment positively moderates the effect of cash on the firm value. Investment negatively moderates the effect of optimal cash, deviation from target cash on the firm value. Debt negatively moderates the effect of cash, optimal cash on the firm value. Debt positively moderates the effect of deviation from target cash on the firm value. 

scholarly journals Bias correction methods for dynamic panel data models with fixed effects

2017 ◽  
Vol 6 (2) ◽  
pp. 58
Author(s):  
Mohamed Abonazel
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Estimation Methods ◽  
Time Dimension ◽  
Dynamic Panel ◽  
Cross Sectional ◽  
Cross Sectional Dimension ◽  
Ls Estimator

This paper considers the estimation methods for dynamic panel data (DPD) models with fixed effects, which suggested in econometric literature, such as least squares (LS) and generalized method of moments (GMM). These methods obtain biased estimators for DPD models. The LS estimator is inconsistent when the time dimension (T) is short regardless of the cross-sectional dimension (N). Although consistent estimates can be obtained by GMM procedures, the inconsistent LS estimator has a relatively low variance and hence can lead to an estimator with lower root mean square error after the bias is removed. Therefore, we discuss in this paper the different methods to correct the bias of LS and GMM estimations. The analytical expressions for the asymptotic biases of the LS and GMM estimators have been presented for large N and finite T. Finally; we display new estimators that presented by Youssef and Abonazel [40] as more efficient estimators than the conventional estimators.

scholarly journals Technical Efficiency and Technical Change in Canadian Manufacturing Industries

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Samuel Gamtessa
Keyword(s):  
Technical Efficiency ◽  
Technical Change ◽  
Fixed Effects ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Manufacturing Industries ◽  
Omitted Variables ◽  
Dynamic Panel ◽  
Data Set ◽  
Canadian Manufacturing

This study applies the “true fixed effects” panel stochastic frontier methodology to the Canadian KLEMS data set to estimate technical change and technical efficiency in the Canadian manufacturing sector. To account for the endogeneity of capital inputs as well as the possible problems related to omitted variables, a two-stage residual inclusion method is pursued. The first stage is estimated using the dynamic panel GMM method. The results show that Canadian manufacturing industries experienced significant declines in technical efficiencies during the last ten years. This suggests that the observed slowdown in TFP growth during the recent past is partly due to declining technical efficiency.

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