Results 81 to 90 of about 6,457 (215)
ARDL Method: Forecasting Data Kemiskinan di NTB
Abstrak: Penelitian ini bertujuan untuk memprediksi data Jumlah penduduk miskin di Provinsi Nusa Tenggara Barat (NTB) tahun 2019 dengan menggunakan metode Autoregressive Distributed Lag (ARDL). Jenis penelitian ini merupakan penelitian kuantitatif. Data yang digunakan dari tahun 2002-2018, dengan parameter error MAD, MSE, MRSE dan MAPE.
Aulia Rahmasari +5 more
openaire +3 more sources
ABSTRACT This paper presents a comprehensive policy framework for achieving Sustainable Development Goals 7 and 9 and evaluates the EU's carbon neutrality target for 2050. In this context, the effects of renewable energy consumption, energy R&D budget, energy taxes, and economic growth on the carbon footprint are examined for nine selected EU countries
Oguzhan Bozatli +3 more
wiley +1 more source
Replacing ARDL? Introducing the NSB-ARDL Model for Structural and Asymmetric Forecasting
This paper introduces the NSB-ARDL (Nonlinear Structural Break Autoregressive Distributed Lag) model, a novel econometric framework designed to capture asymmetric and nonlinear dynamics in macroeconomic time series. Traditional ARDL models, while widely used for estimating short- and long-run relationships, rely on assumptions of linearity and symmetry
openaire +2 more sources
FinTech and Environmental Sustainability: Evidence From Brazil
ABSTRACT This study explores the dynamic interplay between economic growth and environmental sustainability from a FinTech perspective, using Brazil as a case study. While FinTech's contribution to green transformation, sustainable finance, and resource efficiency has gained increasing attention, a notable lack of empirical research remains to assess ...
Kemal Eyuboglu, Umut Uzar
wiley +1 more source
ABSTRACT Although significant efforts have been made to prevent environmental degradation, the success of these initiatives has remained limited. The primary reason for this is environmental issues' complex and multidimensional nature. Economic, political, and social dynamics play a central role in shaping environmental problems, necessitating a ...
Umut Uzar
wiley +1 more source
The effect of terms of trade and its volatility on economic growth in Iran [PDF]
Terms of trade is one of the important and effective variables in the economy of all countries, and especially in the developing countries. Terms of trade shows the purchasing power of exports of a country.
Masood Nonejad, Mahdi Roshan Ghiyas
doaj
Pendekatan Manual ARDL Pada Kointegrasi (STATA & Microfit)
Model ARDL diperkenalkan oleh Pesaran et al. (2001) untuk mengakomodir variabel pada tingkat I(0) dan I(1) dalam estimasi yang sama. Pada umumnya jika variabel stasioner pada level I(0) maka peneliti dapat menggunakan metode OLS, dan jika seluruhnya berada pada turunan pertama I(1) yang tidak stasioner maka disarankan untuk menggunakan VECM (Johanson ...
openaire +1 more source
ABSTRACT Sustainable development depends on economic, social, and environmental aspects, all of which play a key role in long‐term societal well‐being. While much of the existing literature emphasizes environmental aspects, the economic and social components, crucial for achieving SDG8, SDG10, and SDG16, are often overlooked in sustainable development ...
Tunahan Degirmenci
wiley +1 more source
Exploring the Drivers of Ecological Sustainability: Insights From the World's Top SDGs Performers
ABSTRACT This article investigates the impact of climate technologies, financial inclusion, renewable energy, and economic growth on the environmental sustainability of the five world's top the Sustainable Development Goals (SDGs) performers. Utilizing a newly compiled panel dataset, the analysis employs the load capacity factor as a proxy for ...
Abdullah Emre Caglar +3 more
wiley +1 more source
Misconceptions in Application of Time series Models: The Abuse of ARDL Model [PDF]
Studies in applied econometrics and related disciplines are widely using time series techniques. Sound application of these techniques requires the satisfaction of their underlying assumptions. One of these techniques is ARDL Model.
Teimur Mohammadi
doaj

