نتایج جستجو برای: autoregressive distributed lag approach
تعداد نتایج: 1536561 فیلتر نتایج به سال:
This study examines the effect of broad money supply (M2) on per capita economic growth in Palestine using time series data from 2000 to 2020. The used autoregressive distributed lag model (ARDL), cointegration approach and error correction investigate gross domestic product (GDP) capita. is determined by four macroeconomic variables, namely, capita, (M2), fixed capital formation (GFCF), inflat...
Abstract The 2008 crisis highlighted the importance of using stress tests in banking practice. role these is to identify and precisely estimate effect possible future changes market conditions on capital adequacy profitability. This paper seeks show a methodology calculate stressed point-in-time probability default (PD) parameter. presented approach contains linear autoregressive distributed la...
This study examined the empirical effects of electricity consumption on carbon dioxide (CO2) emissions in Iran. To achieve this goal, we applied autoregressive distributed lag (ARDL) approach. The results indicate that cointegration exists among consumption, economic growth, foreign direct investment (FDI), financial development and emissions. Also findings increase has had a impact both short ...
Abstract The paper examines the long-run relationship between poverty reduction, economic growth, and tourism development in Kazakhstan during period of 2001–2017. We expand basic model by including other determinants such as inequality, unemployment, spending on health. use Autoregressive Distributed Lag (ARDL) approach to test co-integration variables, ARDL bound is less restrictive provides ...
This research examines the effects of globalization on environmental degradation in Cote d’Ivoire using data from 1970−2018. Previous studies this area mostly focused carbon emissions as indicator for degradation. However, study uses ecological footprint to cover different aspects Using autoregressive distributed lag approach, results disclose that worsens quality by increasing footprint. Furth...
This research paper investigates the impact of natural resources volatility on economic growth. The focused three resource-rich economies, namely, UAE, Saudi Arabia, and Oman. Using data from 1970 to 2016 employing autoregressive distributed lag (ARDL) cointegration approach, we found that both their matter perspective study strong evidence in favor a positive statistically significant relation...
Wagner’s Law states that the share of government expenditure in GNP will increase with economic development; many associated empirical studies substitute GNP with GDP. This paper presents an empirical investigation into the validity of Wagner’s Law for New Zealand over the period 19602007 and compares the results obtained using these two measures of output. Application of the autoregressive dis...
This paper attempts a resolution of the Fisher effect puzzle in terms of estimator choice. Using both short-term and long-term interest rates for 14 OECD countries, we find ample evidence supporting the existence of a long-run Fisher effect in which interest rates move oneto-one with inflation. Our results suggest that the reason why the Fisher effect has not found support internationally lies ...
Testing for white noise has been well studied in the literature of econometrics and statistics. For most of the proposed test statistics, such as the well-known Box–Pierce test statistic with fixed lag truncation number, the asymptotic null distributions are obtained under independent and identically distributed assumptions and may not be valid for dependent white noise. Because of recent popul...
Food price inflation has been a significant subject of debate in Turkey since food prices soared 2018. The study examines the linkage between agricultural input and by using quantitative method approaches with monthly data spanning from 2015-M01 to 2020-M01. A co-integration analysis is performed autoregressive-distributed lag (ARDL) bounds test approach Maki structural breaks. Additionally, fu...
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