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Showing 1 to 20 of 40 for “"Ordinary least square (OLS)"”.
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The Determinants of Capital Market Development in Tanzania, The Case Study of Dar es Salaam Stock Exchange.
… used multiple regression analysis by applying Ordinary Least Square (OLS) method. The macroeconomic variable data involved were stock market liquidity, investment, the banking sector development and foreign direct investment. For capital market development indicators, market capitalization, …
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Deming Regression: An Alternative to Ordinary Least Squares in Handling Error in Variables Models with Noisy Datasets
… of the dependent variable. The alternative to Ordinary Least Square (OLS) could be Reduced Major Axis (RMA) and Grouping method when the error variances of both the independent and dependent variables are not exactly known, whereas, in the situation where the error variances are exactly known, …
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Estimates of school productivity and implications for policy
… error and the measurement error. The traditional Ordinary Least Square (OLS) leaves the estimation of school productivity questionable. Moreover, Hierarchical Linear Model (HLM) encounters a large proportion of the variance unexplained in the level-1 equation. In the paper, I will first introduce …
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Relationship between price and performance : an analysis of the US trucking market
… and acceptance ratio. The research uses ordinary least square (OLS) regression to study the effect of the performance parameters on the cost per load of a shipment. The research demonstrates that there is a mild relationship between on time delivery performance and price. With increase in …
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An exploratory study of international tourism demand from the selected countries to Taiwan
… the period between 1968 and 1991, employed the ordinary least square (OLS) multiple regression technique to estimate the elasticities of international tourism demand from four generating countries (Japan, USA, Hong Kong and South Korea) to Taiwan for a set of potential important determinants: …
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Measuring the risk of investment in Latin America's emerging markets
… external debt, as determinants of returns. The Ordinary Least Square (OLS) results are somewhat robust--three out of four factors have the expected sign, thus supporting the hypothesis. GLS procedures reveal similar results.
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Macroeconomic Determinants of Economic Growth after financial sector in Tanzania
… economic growth in Tanzania. The study uses the Ordinary Least Square (OLS) and cointegration relationship among the variables. The data were collected from the Ministry of Finance (MOF) and multilateral organizations; UNCTAD, IMF and WDI. The data covered the period spanning from 1995 to 2013 …
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Measuring Expected Returns in a Fluid Economic Environment
… returns. This model is estimated with an Ordinary Least Square (OLS) estimations process and identifies three factors that are statistically significant. These include quarterly changes in the Gross Domestic Product (GDP), the Unemployment Rate and the Consumer Price Index (CPI).
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Econometrics analysis of Weak form efficiency and Calendar effects in Dar es salaam Stock Exchange
… effects, the study used two econometric models: Ordinary Least Square (OLS) regression model and the Generalized Autoregressive Conditional Heteroscedastic - GARCH (1,1) model. The results of all statistical tests employed showed that the Dar es Salaam Stock Exchange (DSE) was a weak form …
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The analysis of Board Composition and Financial Performance
… compositions and bank performance, measured by ordinary least square (OLS) on three listed banks at the DSE?” In order to examine if there is a relationship between board composition and financial performance, I have done Descriptive and Multiple Regression analyses. Based on the results I can …
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Examining the antecedents of the work motivation in the context of Turkish national police
… and the public order department. Multivariate Ordinary Least Square (OLS) regression analyses were conducted to test the hypothesized relationships between the independent and dependent variables. The results of the study were mainly consistent with the goal-setting model. The results indicated …
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An Investigation into the Relationship Between Economic Growth, Energy Consumption, and the Environment: Evidence from Nigeria
… (ARDL), Toda-Yamamoto causality analysis, and ordinary least square (OLS for robust estimation) techniques to empirically investigate the impact of economic growth and energy consumption on the environment in Nigeria from 1980 to 2020. The results of cointegration demonstrate a long-term link …
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Foreign direct investment and growth in Tanzania : roles of the domestic financial system and human capital
… main steps. After testing for unit roots, an Ordinary Least Square (OLS) model is estimated in order to test for the existence of long-run relationships between the variables by conducting F-test for joint significance of the coefficients of lagged levels of variables.
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Pengaruh book tax di references dan arus kas terhadap pertumbuhan laba: Studi empiris pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia tahun 2011-2013
… ini adalah regresi berganda dengan analisis Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa beda permanen dan beda temporer dari book tax differences serta arus kas berpengaruh positif terhadap pertumbuhan laba perusahaan. Variabel kontrol yaitu ROA dan ukuran perusahaan tidak …
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Financial Transfer and Its Impact on the Level of Democracy: A Pooled Cross-Sectional Time Series Model.
… correlations, analysis of variance, and ordinary least square (OLS) multivariate regression with robust matrix and a lagged dependent variable. Panel corrected standard error (PCSE) was also employed to empirically test the pooled timeseries cross-sectional multivariate model. The …
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Exchange rate and interest rate exposure of UK non-financial firms and industries
… and industries. Following the weaknesses of the Ordinary Least Square (OLS) methodology, the AR(I)EGARCH-M model was subsequently used for the estimation. The results indicated that the stock returns of UK firms and industries were more affected by long-term interest rate risk than exchange rate …
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Object-Based Coastal Morphological Change Analysis Based on LiDAR and Hurricane Events
… their contribution to the change using ordinary least square (OLS) analysis. The third analysis was carried out using the classification and regression tree (CART) analysis. Of the study area, 18.64% encountered erosional processes and 11.35% with depositional processes during Hurricane …
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Determinants of exports in Zambia’s Manufacturing Sector
… (GDP) and lending rates. The study utilised the Ordinary Least Square (OLS) and the Auto Regressive Distributive Lag techniques to capture the dynamic relationships. The results revealed that Inflation and FDI were statistically significant. It was further observed that inflation was negatively …
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The simulation analysis on the accuracy and efficiency of MIT transaction index
… the Ridge Regression as estimation method over Ordinary Least Square (OLS); (3) selecting the proper value of weight factor "k." The findings on the error structures are as follows. First, MIT transaction index does not suffer from smoothing and lagging which is apparent in the appraisal based …
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International Financial Reporting Standards for Small, Medium and Enterprises (IFRS for SMEs) and the quality of financial reporting: Some evidence from the Limpopo Province
… to enhance the generalisability of our findings. Ordinary Least Square (OLS) Regression analysis was employed to investigate the period post-IFRS for SMEs adoption. This investigation spanned two periods: the initial five years (2010-2014) and the last five years (2015-2019), with the objective of …
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