Foreign investors' interests and corporate tax avoidance: Evidence from an emerging economy

By I. Salihu, Hairul Azlan Annuar, Siti Normala Sheikh Obid. 2015

2,299 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/9b1e473094bd35bc8896044c4c633d221c29e273

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Citations in the corpus

Bank profitability and risk-taking under low interest rates (2017, methodology): “The system GMM estimator from Arellano and Bover (1995) and Blundell and Bond (1998), which builds on Arellano and Bond (1991), is developed for dynamic panel models in order to deal with the abovementioned issues.”
Does banking sector development promote economic growth? An empirical analysis for selected countries in Central and South Eastern Europe (2014, methodology): “Unlike earlier studies the data covers a longer time period, and we use the system Generalised Method of Moments (GMM) estimation introduced by Arellano and Bond (1991) and further developed by Arellano and Bover (1995).”
Factors influencing bank risk in Europe: Evidence from the financial crisis (2015, methodology): “This method is an alternative to the first- difference GMM estimator used by Arellano and Bond (1991).”
The Determinants of Chinese Outward FDI in Countries Along “One Belt One Road” (2017, methodology): “To deal with these issues, a commonly used method for dynamic panels is the GMM estimator proposed by Arellano and Bond (1991).”
Resource Blessing, Revenue Curse? Domestic Revenue Effort in Resource-Rich Countries (2014, methodology): “We use the Blundell and Bond (1998) system-GMM estimator instead of Arellano and Bond (1991) difference-GMM estimator since the first one has much better finite sample properties in terms of bias and root mean squared error than the later, and results are not qualitatively different. 10 We present b”
The determinants of inbound tourism to Malaysia: a panel data analysis (2017, methodology): “The autocorrelation tests (Arellano & Bond, 1991) show that the subsequent lags are valid instruments.”
Measuring resilience to economic shocks: an application to Spain (2018, methodology): “If T is fixed, alternative estimation methods have been suggested such as Anderson and Hsiao (1981), Arellano and Bond (1991), 4 The demeaning equation is obtained by taking each variable in the regression equation in deviation from its average over time, for instance for the endogenous variable: T…”
The link between life insurance activities and economic growth: Some new evidence (2013, background): “(7) and (8) is the dynamic panel GMM estimator proposed by Arellano and Bond (1991).”
Technological Innovation Inputs, Outputs, and Performance (2016, methodology): “Moreover, the corrections over the panel data proposed by Arellano and Bond (1991) and Blundell and Bond (1998) have been estimated to overcome the problems of heterogeneity and endogeneity in the model.”
Quasi–maximum Likelihood Estimation of Linear Dynamic Short-T panel-data Models (2016, methodology): “7By default, xtdpdqml obtains starting values from Stata’s xtdpd command with GMM-type instruments for the lagged dependent variable, as proposed by Arellano and Bond (1991), and standard instruments for the strictly exogenous regressors in the first-differenced equation.”
Institutions-FDI Nexus in ECOWAS Countries (2016, methodology): “As regards methodology, the study adopts the System GMM of Arellano and Bond (1991) and Arellano and Bover (1995). The superiority of this methodology over the Pooled OLS is the suitability of the former for dealing with endogeneity issues that might occur as a result of measurement error and omitte”
The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries (2018, methodology): “Arellano and Bond (1991) developed a Generalized Method of Moments (GMM) estimator that gives consistent parameter estimates.”
Manufacturing as an engine of growth: Which is the best fuel? (2017, methodology): “With the difference GMM technique, the dependant variable in difference is instrumented with the past values of the regressor in levels (Arellano and Bond, 1991).”