ed. New York‚ NY: St. Martin’s Press‚ 1994. Prices.’’ Choices (New York‚ N.Y.) 24‚1(2009): 6–11. Analysis of the PPP and UIP for the UK.’’ Journal of Econometrics 53(1992):211–44. ‘‘Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration.’’ Journal of Applied Econometrics 14‚5(1999):563–77. Values.’’ Choices (New York‚ N.Y.) 24‚1(2009): 27–31. Importing Instability from the Oil Sector?’’ Choices (New York‚ N.Y.) 24‚1(2009):12–15. Journal of Agricultural Economics 72(1990): 160–71
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(-3.5)/1.6396 = -2.1347 Critical Value: Zα/2= Z0.05/2= @qnorm(1-0.05/2)= 1.96 When comparing the test statistic to the critical value: Z=2.1347>1.96‚ we reject the null hypothesis. We can calculate the P-value using the EViews command: Show @tdist (t‚ d.f) In this EViews command‚ t stands for the appropriate test statistic and d.f are the degrees of freedom. The appropriate test statistic was calculated above‚ namely Z=2.1347. For the degrees of freedom‚ we can insert NA+NB-2. Show @tdist (2
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MIDLANDS STATE UNIVERSITY FACULTY OF COMMERCE DEPARTMENT OF ECONOMICS PROGRAMME: B. COMM. ECONOMICS HONOURS DEGREE MODULE: ECONOMETRICS B (EC409) Determinants of money demand in Zimbabwe from 1980-2008 TABLE OF CONTENT CHAPTER 1 INTRODUCTION CHAPTER 2 LITERATURE REVIEW CHAPTER 3 METHODOLOGY CHAPTER 4 RESULTS PRESENTATION AND INTERPRETATION CHAPTER 5 POLICY RECOMMENDATION AND CONCLUSIONS CHAPTER
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47-77 Relationship between Macroeconomic Variables and Stock Market Indices: Cointegration Evidence from Stock Exchange of Singapore’s All-S Sector Indices Ramin Cooper Maysami Lee Chuin Howe Mohamad Atkin Hamzah ABSTRACT The relationship between macroeconomic variables and stock market returns is‚ by now‚ well-documented in the literature. However‚ a void in the literature relates to examining the cointegration between macroeconomic variables and stock market’s sector indices rather than
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The Effect of Human Capital Flow on FDI Technological Advances : An Empirical Study Based on Absorptive Capacity Abstract Human capital flow is an important factor that affecting the “absorptive capacity” of host countries‚ it is of great significance to strengthen the host countries’ absorptive capacity of FDI technology spillovers. Taking China for example‚ this paper made an empirical analysis about the effect of human capital flows on FDI technological advances‚ we selected the number of foreign
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negative relation in short run and positive relation in long run to NPLs. An increase in M2 leads to decrease in NPLs Key words -Macroeconomic factors‚ Nonperforming loans‚ Kenyan Banking Industry‚ Error correction model‚ Granger causality‚ Cointegration test. 1. Introduction Given the recent turbulence in banking and the rise in non-performing loans (NPLs) there is renewed interest in the impact of internal and external factors on NPLs of banks. Financial institutions and more
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determinants of FDI in Malaysia during the period 1970-2008 using an autoregressive distributed lag (ARDL) technique. 2.0 Methodology and Data 2.1. Autoregressive distributed lag (ARDL) An autoregressive distributed lag model allows cointegration at different orders of integration and is a robust estimation in a small sample data. Failure to model appropriately the relationship may not give accurate results of the relationship and this is crucial especially when it involves with policy
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account‚ results of the present study reveal that there is a long-run equilibrium relationship between imports and exports over the sample period‚ 1960–2007. This result confirms the finding of Arize (Imports and exports in 50 countries: Tests of cointegration and structural breaks‚ 2002) by employing bounds tests to level relationships and suggests that current account deficits in Iran are sustainable. JEL C22‚ F10‚ F32 Keywords Current account; bounds test; Iran Correspondence Hassan Heidari‚ Department
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Kuwait Chapter of Arabian Journal of Business and Management Review Vol. 1‚ No. 11; July 2012 INFLATION TARGETING AND MONETARY POLICY INSTRUMENTS: EVIDENCE FROM NIGERIAN AND GHANA Osuji Casmir Chinaemerem Department of Accounting‚ Banking & Finance Delta State University‚ Asaba Campus. Delta State Nigeria. & Akujuobi‚ L.E (Ph.D) Department of Financial Management Technology (FMT) School of Management Technology Federal University of Technology‚ Owerri (FUTO) PMB 1526 Owerri‚ Imo State‚ Nigeria ABSTRACT
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growth in Indonesia and the Philippines. These results support those of other studies that indicate that in the long-run coefficients of the variables are an important determinant of the real GDP. Keywords: Government expenditure GDP growth Cointegration Autoregressive Distributed Lag Model (ARDL) * College of Arts and Sciences‚ Universiti Utara Malaysia‚ 06010 Sintok‚ Kedah‚ Malaysia‚ Department of Economics‚ Faculty of Economics and Management‚ Universiti Putra Malaysia‚43400 UPM Serdang
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