scholarly journals Analisis Critical Root Value pada Data Nonstasioner

CAUCHY ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Abdul Aziz
Keyword(s):  
Time Series ◽  
Random Walk ◽  
Critical Point ◽  
Unit Root ◽  
Unit Root Test ◽  
Critical Value ◽  
T Test ◽  
Random Walk Process ◽  
T Distribution

<div class="standard"><a id="magicparlabel-2325">A stationery process can be done t-test, on the contrary at non stationery process t-test cannot be done again because critical value of this process isn’t t-distribution. At this research, we will do simulation of time series AR(1) data in four non stationery models and doing unit root test to know critical value at ttest of non stationery process. From the research is yielded that distribution of critical point for t-test of non stationery process comes near to normal with restating simulation of random walk process which ever greater. Result of acquirement of this critical point has come near to result of Dickey-Fuller Test. From this research has been obtained critical point for third case which has not available at tables result of Dickey-Fuller Test. </a></div>

SUMS OF EXPONENTIALS OF RANDOM WALKS WITH DRIFT

2012 ◽  
Vol 28 (4) ◽  
pp. 915-924 ◽  
Author(s):  
Xi Qu ◽  
Robert de Jong
Keyword(s):  
Time Series ◽  
Random Walk ◽  
Unit Root ◽  
Random Walk Process ◽  
Maximum Value ◽  
Random Walk With Drift ◽  
Sums Of Exponentials ◽  
Unit Root Process ◽  
Stable Growth ◽  
Substantial Interest

For many time series in empirical macro and finance, it is assumed that the logarithm of the series is a unit root process. Since we may want to assume a stable growth rate for the macroeconomics time series, it seems natural to potentially model such a series as a unit root process with drift. This assumption implies that the level of such a time series is the exponential of a unit root process with drift and therefore, it is of substantial interest to investigate analytically the behavior of the exponential of a unit root process with drift. This paper shows that the sum of the exponential of a random walk with drift converges in distribution, after rescaling by the exponential of the maximum value of the random walk process. A similar result was established in earlier work for unit root processes without drift. The results derived here suggest the conjecture that also in the case when the Dickey-Fuller test or the KPSS statistic is applied to the exponential of a unit root process with drift, these tests will asymptotically indicate stationarity.

scholarly journals THE EFFECT OF USING EDMODO APPLICATION ON THE STUDENTS’ WRITING SKILL OF ANALYTICAL EXPOSITION TEXT AT SMAN 4 PALANGKA RAYA

2021 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Enggal Pinanggih ◽  
Ristati Ristati ◽  
Wahyuningsih Usadiati
Keyword(s):  
Null Hypothesis ◽  
Data Distribution ◽  
Critical Value ◽  
T Test ◽  
Teaching English ◽  
Writing Ability ◽  
Writing Test ◽  
Writing Skill ◽  
Dependent Sample ◽  
T Distribution

This research was conducted to find out the effect using Edmodo application on the students’ writing skill of analytical exposition text at SMAN 4 Palangka Raya. Data of the students score of writing Analytical Exposition text was collected using writing test, and the hypothesis testing was examined based on t-test for normally because the data distribution was normal. A test in form of writing analytical exposition text was used the instrument to collect the data needed. Then, the data were analyzed by using parametric statistic dependent sample T – test because the data were normally distributed. The writer took conclusion based on statistical result. The result of this research shows that the critical value for students T distribution was 1.734 the critical value t0 was t05 {19} = 1.729. Because 1.734 is greater than 1.729, null hypothesis was rejected. Thus, it can be concluded that there was significant effect of using Edmodo Application in writing Analytical Exposition Text gained by eleventh grade of SMAN 4 Palangka Raya. Thus, Edmodo Application had been successful in improving students’ writing ability of Analytical Exposition text. The researcher suggest that the teacher should provide an appropriate media in teaching English, especially for Analytical Exposition Text and made Edmodo Application as reference to him/her to use it for making students’ attracted to the material.

A New Non-Parametric Subspace-Based Approach for Unit Root Test

2019 ◽  
Vol 18 (01) ◽  
pp. 1950009 ◽  
Author(s):  
Mehran Farahikia ◽  
Masoud Yarmohammadi ◽  
Hossein Hassani
Keyword(s):  
Time Series ◽  
Unit Root ◽  
Unit Root Test ◽  
Statistical Testing ◽  
Block Bootstrap ◽  
Testing Methodology ◽  
Non Parametric

A new non-parametric subspace-based approach is introduced for unit root test in AR(1) process. The proposed approach contains block-bootstrap and spectrum properties of a time series as well as statistical testing methodology. The simulation result validates the proposed test and indicates its superiority compared with other existent procedures.

scholarly journals DAMPAK TINGKAT SUKU BUNGA KREDIT, INFLASI DAN PERTUMBUHAN EKONOMI TERHADAP JUMLAH KREDIT BANK UMUM SWASTA NASIONAL YANG DISALURKAN DI INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 33-44
Author(s):  
Muhammad Rizki Saputra ◽  
Ryan Juminta Anward ◽  
Rizali Rizali
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Interest Rate ◽  
Unit Root ◽  
Unit Root Test ◽  
Statistical Test ◽  
Economic Variable ◽  
Quarterly Data ◽  
Private Banks ◽  
Econometric Technique

The objective of this research is to (1) analyse the influence of loan interest rate, inflation and economic growth to loans disbursed by national private banks in Indonesia. This research uses quarterly data for ten years from 2007 to 2016. The methodology used in this research is time series econometric technique which is the unit root test, statistical test and classical assumption test. The result of this research shows that loan interest rate and inflation variable have a negative correlation and statistically is not significant to loans that disbursed by national private banks in Indonesia. While Indonesian economic growth and global economic variable have a positive correlation and statistically is significant to loans that disbursed by national private banks in Indonesia.

scholarly journals Purchasing Power Parity in Commonwealth of Independent States

2014 ◽  
Author(s):  
Gülçin Güreşçi Pehlivan ◽  
Esra Ballı ◽  
Muammer Tekeoğlu
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Purchasing Power Parity ◽  
Unit Root ◽  
Unit Root Test ◽  
Purchasing Power ◽  
Power Parity ◽  
Panel Unit Root ◽  
Independent States

The Purchasing Power Parity suggests that differences in relative prices in two countries move together with nominal exchange rates in the long run. This study examines the validity of PPP as transition economies for Commonwealth of Independent States (CIS). Purchasing Power Parity holds only when the real exchange rate is stationary in the equation. To test the stationary, we used both time series and panel data analysis. Testing unit root both with time series and panel data in this study, provides us double check of the results. We also test the cross sectional dependence to choose the appropriate panel unit root test. Our test statistics indicate that there is cross section dependence between countries. Hence, one needs to take into consideration the cross section dependence while undertaking unit root tests. Otherwise, the results would be biased. ADF and KPPS indicate that PPP cannot be accepted for the countries except for Russia. According to the panel unit root test results indicate that PPP does not hold for Armenia, Belarus, Georgia, Kazakhstan and Kyrgyzstan except for Russia.

scholarly journals Forecasting Import Demand of Table Grapes: Empirical Evidence from Thailand

2020 ◽  
Vol 10 (2) ◽  
pp. 578-586
Author(s):  
Chalermpon Jatuporn ◽  
Patana Sukprasert ◽  
Siros Tongchure ◽  
Vasu Suvanvihok ◽  
Supat Thongkaew
Keyword(s):  
Time Series ◽  
Empirical Evidence ◽  
Unit Root ◽  
Moving Average ◽  
Unit Root Test ◽  
Import Demand ◽  
Forecasting Model ◽  
Autoregressive Integrated Moving Average ◽  
Table Grapes ◽  
Monthly Time Series

The purpose of this study is to forecast the import demand of table grapes of Thailand using monthly time series from January 2007 to April 2020. The ADF unit root test is used for stationarity checking, and seasonal autoregressive integrated moving average (SARIMA) is applied to forecast the import demand of table grapes. The results revealed that the integration of time series was in the first difference for non-seasonal and seasonal order. The best-fitted forecasting model was SARIMA(1,1,3)(2,1,0)12. The forecasted period for the next eight months showed the import demand of table grapes of Thailand that is slightly decreased by an average of 11.398 percent, with overall expected to decrease by an average of 15.218 percent in 2020.

scholarly journals Economic Growth, Inflation and Monetary Policy in Pakistan: Preliminary Empirical Estimates

2021 ◽  
Vol 4 (2) ◽  
pp. 321-333
Author(s):  
Hina Ali ◽  
Malka Liaquat ◽  
Noreen Safdar ◽  
Saeed ur Rahman
Keyword(s):  
Time Series ◽  
Monetary Policy ◽  
Unit Root ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Economic Activities ◽  
Data Set ◽  
Explanatory Variables ◽  
Empirical Estimates

In economic policy, construction Inflation is a core variable to be considered that determines the economic activity. To make a suitable monetary policy, it is very essential to check the price level and later on, many other variables are considered to achieve the goal. This study aims to reveal the affiliation of inflation on the growth of economic activities in Pakistan. Time series data set for the period 1989-2020 was used to have the empirical estimates.  Augmented Dickey Fuller Unit Root Test is employed to check the unit root of the time series and Auto Regressive Distributive Lag techniques are used for empirical estimates. The present research uses Inflation as a dependent variable and Gross Domestic Product, Interest Rate, Money Supply, and Exchange Rate as the explanatory variables of the study. The findings of this analysis reveal that there's an antagonistic relation between Inflation and GDP.

scholarly journals A wavelet-based variance ratio unit root test for a system of equations

2019 ◽  
Vol 24 (3) ◽  
Author(s):  
Abdul Aziz Ali ◽  
Kristofer Månsson ◽  
Ghazi Shukur
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Unit Root ◽  
Unit Root Test ◽  
Applied Econometrics ◽  
Small Sample ◽  
System Of Equations ◽  
Panel Unit Root Test ◽  
Panel Unit Root ◽  
Cross Section Dependence

AbstractIn this paper, we suggest a unit root test for a system of equations using a spectral variance decomposition method based on the Maximal Overlap Discrete Wavelet Transform. We obtain the limiting distribution of the test statistic and study its small sample properties using Monte Carlo simulations. We find that, for multiple time series of small lengths, the wavelet-based method is robust to size distortions in the presence of cross-sectional dependence. The wavelet-based test is also more powerful than the Cross-sectionally Augmented Im et al. unit root test (Pesaran, M. H. 2007. “A Simple Panel Unit Root Test in the Presence of Cross-section Dependence.” Journal of Applied Econometrics 22 (2): 265–312.) for time series with between 20 and 100 observations, using systems of 5 and 10 equations. We demonstrate the usefulness of the test through an application on evaluating the Purchasing Power Parity theory for the Group of 7 countries and find support for the theory, whereas the test by Pesaran (Pesaran, M. H. 2007. “A Simple Panel Unit Root Test in the Presence of Cross-section Dependence.” Journal of Applied Econometrics 22 (2): 265–312.) finds no such support.

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