scholarly journals Comparison the Error Rate of Autoregressive Distributed Lag (ARDL) and Vector Autoregressive (VAR) (Case study: Forecast of Export Quantities in DIY)

2018 ◽  
Vol 18 (2) ◽  
pp. 167-177
Author(s):  
Dewi Kusuma Ningrum ◽  
Sugiyarto Surono
Keyword(s):  
Dynamic Model ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Model Stability ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Integration Test ◽  
Lag Model

Forecasting is estimating the size or number of something in the future. Regression model that enters current independent variable value, and lagged value is called distributed-lag model, if it enters one or more lagged value, it is called autoregressive. Koyck method is used for dynamic model which the lagged length is unknown, for the known lagged length it is used the Almon method. Vector Autoregressive (VAR) is a method that explains every variable in the model depend on the lag movement from the variable itself and all the others variable. This research aimed to explain the application of Autoregressive distributed-lag model and Vector Autoregressive (VAR) method for the forecasting for export amount in DIY. It takes export amount in DIY and inflation data, kurs, and Indonesias foreign exchange reserve. Forecasting formation: defining Koyck and Almon distributed-lag dynamic model, then the best model is chosen and distribution-lag dynamic forecasting is performed. After that it is performed stationary test, co-integration test, optimal lag examination, granger causality test, parameter estimation, VAR model stability, and performs forecasting with VAR method. The forecasting result shows MAPE value from ARDL method obtained is 0.475812%, while MAPE value from VAR method is 0.464473%. Thus it can be concluded that Vector Autoregressive (VAR) method is more effective to be used in case study of export amount in DIY forecasting. Keywords: Koyck; Almon; Lag; Autoregressive Distributed-Lag; Vector Autoregressive;

scholarly journals The Nexus Between Taxation, Government Expenditure and Economic Growth in South Africa. A fresh evidence from combined cointegration test

2021 ◽  
Vol 39 (3) ◽  
Author(s):  
Delani Moyo ◽  
Ahmed Samour ◽  
Turgut Tursoy
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Government Expenditure ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Lag Model ◽  
The Relationship

The relationship between taxation, government expenditure and economic growth. is a widely debated issue in the literature. The aim of this research is to present a fresh evidence from the nexus of taxation, government expenditure and economic growth in for the period 1991-2018 in South Africa, using recently developed combined co-integration test. Autoregressive Distributed Lag model(ARDL) is utilized to examine coefficients between the variables in the short and long-run The newly advanced Bayer-Hacks (BH) combined co-integration approach is employed so as to verify the ARDL bounds result. The empirical results from ARDL model revealed that there is a positive and significant relationship between government expenditure and economic growth in both short and long run. In addition, the study shows that tax revenue has a significant positive relationship with the economic growth. Therefore, levels of taxation and government expenditure are favorable to the growth of economy in South Africa. The research proposed that decision makers in South Africa should pay more attention on Taxation and government expenditure policies and the gains from economic growth such as channel much of its expenditure towards the manufacturing and agricultural sectors, which have great potentials of increasing the supply of the products. Which in turn leads to reduce prices and increase in the rates of employment. This would, also make the country’s exports prices competitive.

Capital Market Performance and Bangladesh’s Economy: An Empirical Study

2021 ◽  
pp. 097215092098224
Author(s):  
Md. Shakhaowat Hossin ◽  
Md. Kaisar Hamid
Keyword(s):  
Capital Market ◽  
Vector Error Correction Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Lag Model

This article aims to analyse the effect of capital market performance on Bangladesh’s economy using the data of market capitalization, stock turnover and gross domestic product (GDP) growth from 2001 to 2018. This study employed unit root test, Johansen cointegration test, vector error correction model, autoregressive distributed lag model, non-linear autoregressive distributed lag model, Granger causality test and Toda–Yamamato Granger non-causality test to examine this effect. The result of the vector error correction model revealed the existence of a long-run association between market capitalization and stock turnover as independent variables with GDP. Again, the results of autoregressive distributed lag model and non-linear autoregressive distributed lag model also showed that there exists a significant positive relationship between the stock market and GDP of Bangladesh. Finally, Toda–Yamamato Granger non-causality test confirms that there is a unidirectional causality running from the capital market to GDP.

scholarly journals Are Technological Innovation and Foreign Direct Investment a Way to Boost Economic Growth? An Egyptian Case Study Using the Autoregressive Distributed Lag (ARDL) Model

2021 ◽  
Vol 13 (6) ◽  
pp. 3265
Author(s):  
Maha Mohamed Alsebai Mohamed ◽  
Pingfeng Liu ◽  
Guihua Nie
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Technological Innovation ◽  
Direct Investment ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Integration Test ◽  
Lag Model

Both technological innovation and foreign direct investment have received widespread attention in the literature on their role in promoting economic growth. Therefore, this study aims to test the relationship between foreign direct investment, technological innovation, and economic growth of the Egyptian economy during the period between 1990–2019 using the autoregressive distributed lag model simultaneous integration test. Our findings show of the ARDL (Autoregressive Distributed Lag) model estimation a joint complementary relationship between the rate of growth of per capita gross domestic product (GDP) in US dollars and the independent variables in the model in the long and short term, which are statistically significant results. We found a positive significant relationship between the variables of incoming foreign direct investment and share of total capital formation in economic growth. Therefore, in the long term, the rate of inflation and the innovation index had a negative impact in the long term and the speed of adjustment towards equilibrium was very large, as it was estimated at 1.5 years (1/0.651). Furthermore, the study also provides valuable lessons and a strategic vision for the Egyptian government, which aspires to advance technology and attract more foreign direct investment.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Poverty and labour market institutions in Europe

2020 ◽  
Vol 67 (3) ◽  
pp. 277-290
Author(s):  
Giorgio Liotti ◽  
Rosaria Canale
Keyword(s):  
Labour Market ◽  
Economic Crisis ◽  
Generalized Method Of Moments ◽  
Market Regulation ◽  
Macroeconomic Conditions ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Labour Market Regulation ◽  
Lag Model

The aim of this paper is to analyse the effects of flexibility in the labour market on workers? monetary poverty in 15 European countries in the time span 2005-2016. We estimate how the labour market regulation index (LMRI) affects workers? monetary poverty through two empirical exercises: in the first one, we use an autoregressive distributed lag model and, in the second one, the generalized method of moments model. The results suggest that greater flexibility of the labour market is positively correlated with greater monetary poverty among employed people. The result does not change significantly when introducing the effect of the economic crisis and the interaction effect between the economic crisis and the LMRI. Therefore, we conclude that the outcome should be considered to be noticeable whatever the macroeconomic conditions occurring in the labour market.

scholarly journals قياس وتحليل العلاقة بين التطور المالي والنمو الاقتصادي والفقر في العراق في اطار نموذج الانحدار الذاتي للإبطاء الموزع (ARDL) (Autoregressive Distributed lag Model ) للمدة (1980- 2010)

2014 ◽  
Vol 20 (77) ◽  
pp. 244
Author(s):  
سعد عبد نجم العبدلي ◽  
ازهار حسن علي
Keyword(s):  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model

يعد النظام المالي المتطور ركيزة اساسية في رفع معدلات النمو الاقتصادي وتقليل معدلات الفقر في العالم ، اذ يؤثر التطور المالي في تقليل الفقر بطريقة غير مباشرة ومن خلال قناة وسيطة هي النمو الاقتصادي، اذ يساهم التطور المالي في دعم عملية التنمية الاقتصادية من خلال تعبئة الاموال وتوجيهها الى الانشطة الاكثر كفاءة وذات عائد اقتصادي واجتماعي مرتفع ، كما يساهم  النمو الاقتصادي في تخفيض  الفقر من خلال قناتين الا ولى مباشرة عن طريق زيادة عوامل الانتاج التي يمتلكها الفقراء وتحسين الظروف في القطاعات والمناطق التي يعيش فيها الفقراء، والثانية  غير مباشرة من خلال اعادة توزيع الدخول المتحققة من النمو الاقتصادي فضلا عن الدخول المتحققة من زيادة الايرادات الحكومية والتي تستعمل لتحويل المدفوعات وتحسين مصادر العيش والذي بدوره يساهم في تخفيض مستويات وحدة الفقر. وبأستخدام نموذج قياسي متطور وهو نموذج الانحدار الذاتي للإبطاء الموزع (ARDL) والذي بني على اساس اختيار افضل انموذج لتصحيح الخطأ عن طريق اختبار رتبة التباطؤ، وهو بذلك يعد انموذجا مطور لأنموذج تصحيح الخطأ غير المقيد ، توصل البحث الى وجود علاقة سببية معنوية متجهة من النمو الاقتصادي الى الفقر ، ووجود علاقة سببية معنوية جدا متجهة من التضخم الى الفقر، في حين توجد علاقة سببية ضعيفة متجهة من التطور المالي الى الفقر، كما ان التطور المالي والنمو الاقتصادي لم يكن لهما تأثير معنوي في الحد من الفقر في العراق في الاجل القصير والطويل رغم تأثيرهما العكسي على الفقر، وان التضخم هو العامل الاساسي المؤثر في الحد من الفقر في الاجل القصير والطويل حيث كان تأثيره طردي على الفقر، كما ان سنوات الحرب والحصار هي الاخرى لم يكن لها تأثير معنوي على مستويات الفقر في العراق.

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