A simple representation of the Bera-Jarque-Lee test for probit models
In: IWH-Diskussionspapiere 2007,13
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In: IWH-Diskussionspapiere 2007,13
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Working paper
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Working paper
The study examines the empirical nexus between poverty and unemployment on economic growth in Nigeria between 1980 and 2016. Auto-Regressive Distributed Lag (ARDL), Bound cointegration testing, and Error Correction Methods (ECM) were used to investigate the link between unemployment, poverty rate, and economic growth in Nigeria. Post estimation tests such as the Jarque-Bera test, Breusch-Pagan, ARCH test, and Ramsey reset test were also adopted in order to validate the research finding. The diagnostic tests further disclosed that the estimated model follows the Ordinary Least Square technique assumptions to attain efficiency and consistency of the model employed. The Jarque-Bera test suggests that residuals for both models are normally distributed, and the Breusch-Godfrey Serial Correlation (LM) test indicates that the hypothesis of no autocorrelation cannot be rejected. Interestingly, the ARDL and ECM results show that unemployment and poverty significantly impact economic growth both in the short and long run. Hence, the study recommended that the Nigeria government should ensure that adequate measures are put in place: Such as investment in education, agricultural sector reform, expansionary fiscal policy, intervention in micro-lending for small scale businesses by the government should be implemented to reduce the level of unemployment and poverty rate both in the short run and long run.
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In: The Econometrics Journal, Band 1, Heft 1, S. 154-173
SSRN
In: Revista scientific, Band 5, Heft 18, S. 108-119
ISSN: 2542-2987
En esta investigación se planteó como objetivo general, examinar la potencia y robustez de las pruebas de normalidad en muestras grandes y pequeñas, generadas con simulación Montecarlo. Se aplicaron pruebas de hipótesis no paramétricas que miden el grado de discrepancia entre las distribuciones empíricas y la función de distribución acumulada normal, que analizan la correlación entre la distribución teórica y la experimental y las que se sustentan en el estudio de la asimetría y curtosis. La comparación se hizo en dos grupos con tamaño de muestras distintas. En las muestras grandes se compararon las pruebas de Kolmogorov-Smirnov; Chi-Cuadrado de Pearson; Jarque-Bera y Geary; en las muestras pequeñas Shapiro-Wilk; Cramér-von Mises; Lilliefors y Watson. Los contrastes se realizaron con el Programa informático RStudio y el criterio de rechazo para las hipótesis nulas se hizo a través del p-value. Como conclusión, la prueba de mayor robustez en muestras grandes es Kolmogorov estimándose que su probabilidad es menor a 0,11. En muestras pequeñas este resultado corresponde a Shapiro-Wilk con una estimación menor a 0,14. Con relación a la potencia en las pruebas de normalidad para muestras grandes se demostró que la más potente de ellas es la prueba Jarque Bera, con un intervalo de confianza entre 0,86 y 1. Para las muestras pequeñas ninguna de las pruebas sometidas a estudio resultó potente.
In: Management-Reihe Corporate Social Responsibility; CSR und Marketing, S. 169-180
In: Statistical papers, Band 62, Heft 5, S. 2083-2108
ISSN: 1613-9798
AbstractIn this paper we introduce an efficient fat-tail measurement framework that is based on the conditional second moments. We construct a goodness-of-fit statistic that has a direct interpretation and can be used to assess the impact of fat-tails on central data conditional dispersion. Next, we show how to use this framework to construct a powerful normality test. In particular, we compare our methodology to various popular normality tests, including the Jarque–Bera test that is based on third and fourth moments, and show that in many cases our framework outperforms all others, both on simulated and market stock data. Finally, we derive asymptotic distributions for conditional mean and variance estimators, and use this to show asymptotic normality of the proposed test statistic.
The study was aimed at exploring the effect of external debt burden on economic growth in Nigeria. For the purpose of estimating the variables under study, this uses a multiple regression (OLS) model. The data is firstly tested for stationarity using the Augmented Dickey-Fuller (ADF) tests. In order to test for co-integration, the Johansen co-integration technique is used for normality test (Jarque-Bera) and serial correlations were used. The variables are made up of real GDP, money supply and external debt. The result revealed that external debt burden had a negative and insignificant effect on the Nigeria economic growth (coefficient = -1.31, p-value = 0.27). Based on the findings the study recommends alternative sources of government revenue to be utilised fully for this will minimize over dependence of government on foreign debt and therefore foster economic growth. JEL: F30, F34, F40 Article visualizations:
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In: Journal of public administration and governance, Band 9, Heft 3
ISSN: 2161-7104
Various theories and empirical studies have been applied and proposed to establish and explain how corporate governance practices are related to banks financial performance. This study concerns the relationship between corporate governance variables and bank performance in Malaysia. The data collected and analysed in this research is from quarter one year 2011 to quarter four year 2016. Various determinants have been identified namely return on equity(ROE) for bank performance measurement, CEO duality, board size, and board gender for corporate governance. Control variables are bank size and bank leverage. The methodologies adopted in this research includes descriptive analysis, correlation analysis, Pooled Ordinary Least Square (OLS) regression, Diagnostic Tests (Jarque-Bera Normality Test, Wooldridge Test and Variance Inflation Factor), Breusch-Pagan (BP) Lagrange Multiplier test, and Hausman test. In this study, the findings indicate that strong board composition and bank leverage were experience better performance.
In: Monographiae Biologicae 47
In: Transforming cultures eJournal: a journal for the study of cultural and social transformations, Band 3, Heft 2
ISSN: 1833-8542
Bera (raft) bhasan (sending out) is a ritual linking two societies and two landscapes: the maritime and the agrarian. After the monsoon, palm or plantain rafts are placed on the river to placate the gods. The bera bhasan that is practiced today is an amalgam of earlier practices of two communities-the Islamic and the Hindu. Arab merchants introduced this practice into Bengal when they prayed for safe passage at sea before venturing out. Similarly Hindu peasants would observe a variant of Bera Bhasan called sedo on the last day of pous or January, whereby they would placate the rain and river gods by setting out small rafts on water. On these flowers, sweets and lamps were placed to ensure a good harvest the following year. Therefore two worlds came together in this practice, the maritime and the rural, signifying two kinds of activity, mercantile and agrarian. In seventeenth-century Mughal Bengal it developed from a folk belief into a community practice. In eighteenth-century Nawabi Bengal it was co-opted by the state as pageantry and it is now a state-sponsored enterprise linking the Hindu and Muslim communities.
In: Zerbitzuan: gizarte zerbitzuetarako aldizkaria, Heft 55, S. 65-85
ISSN: 1134-7147
In: The Indian economic journal, Band 72, Heft 5, S. 807-815
ISSN: 2631-617X
The share price is one of the major aspects of taking financial decisions by the investors. This study has investigated the impact of value relevance on the share price of Indian multinational companies. In this study, the top 10 multinational corporations (MNCs) have been taken for the analysis of data from the financial year 2018–2019 to 2022–2023. However, share price has been considered a dependent variable, whereas earnings per share (EPS), book value per share (BVPS), price to book value (PB), price to earnings (PE) and assets turnover ratio (ATR) have been considered independent variables. By employing correlation, ordinary least squares (OLS), fixed effect model (FEM), random effect model (REM), Hausman test and the Jarque–Bera test, data have been analysed and significant associations among the given variables have been found. The outcome of the study has revealed that there is a significant impact of value relevance on the share price of the MNCs in India, as the p value derived from the analysis is less than .05. This means that a statistically significant relationship exists between the variables considered in the study. JEL Codes: G10, M41, Y10
In: The BERA Guides
The call for decolonising curriculum knowledge comes from across public and academic voices and educational organisations. Led by international educationalists across all phases of education, The BERA Guide to Decolonising the Curriculumis a powerful evocation, direction, and call to action for epistemological equity in knowledge production, teaching, and learning. The chapters draw on significant international literature from across the fields of decoloniality, race, gender, history, sociology, and philosophy, and real-world cases, with multiple examples from international academic leaders, academics, and teachers to address concerns about the ideological and political orientation of educational policy discourse bounded by Eurocentric epistemology. Published in partnership between the British Educational Research Association (BERA) and Emerald Publishing, The BERA Guidesare short, research-informed yet accessible introductions to key, interdisciplinary topics impacting education research and practice for a broad academic audience.