نتایج جستجو برای: regressive distribution lags ardl model
تعداد نتایج: 2586013 فیلتر نتایج به سال:
در این تحقیق اثر نوسانات ناشی از نااطمینانی نرخ واقعی ارز بر ارزش افزودهی بخش کشاورزی طی دورهی 1390-1357 مورد بررسی قرار گرفت. برای این منظور، ابتدا نوسانات ناشی از نااطمینانی نرخ ارز با استفاده از روش garch محاسبه شده و سپس ماهیت متغیرهای توضیحی مدل پیشنهادی(پایا یا ناپایا بودن متغیرها) با استفاده از آزمونهای ریشه واحد تعیین شد. در آخر نیز با استفاده از مدل خود توضیح با وقفههای توزیعی گس...
Economic theory suggests that a realistic level of borrowing is beneficial for both developing and developed economies in achieving sustainable economic growth. However, as result insufficient domestic resources to fund the “development projects”, required progress, most countries strongly rely on internal (domestic) external (international) capitals such public debt, foreign direct investment ...
This study delves into the factors that boost agricultural productivity while taking five macroeconomic variables account. The investigated are productivity, which is used as dependent variable, employment in agriculture, gross capital formation, arable land, and rainfall independent variables. Employing an autoregressive distributed lags (ARDL) model, this paper examines determinants of Somali...
This study estimates the effects of Internet usage, financial development and trade openness on economic growth using annual time series data for South Africa for the period 1991-2013. Structural unit root test and Johansen and ARDL cointegration tests are performed to examine the long run relationship amongst Internet usage, financial development, trade openness and economic growth. Findings f...
Problem of parameterization of multi-output autoregressive regressive Gaussian model (ARX) is studied in the context of prior design of adaptive controllers. The substantial role of prior distribution of unknown parameters on the parameterization is demonstrated. Among several parameterizations a nontraditional one is advocated which • makes it possible to model the system output entry-wise, th...
abstract nowadays, due to the environmental uncertainty and rapid development of new technologies, economic variables are often predicted by using less data and short-term timeframes. therefore, prediction methods which require fewer amounts of data are needed. auto regressive integrated moving average (arima) model and artificial neural networks (anns) need large amounts of data to achieve acc...
This study were examined relationship between bank credits and investment growth of agricultural sector in Iran during the period of 1982-2011 by auto regressive distribution lag bounds test approach. Basically, the growth investing of the agricultural sector in Iran is related to oil revenues, bank credits, value added of agriculture sector and capital stock. The results confirm the existence ...
تراز تجاری هر کشور بیانگر تحولات تجارت خارجی و شرایط اقتصادی آن بوده و در واقع مبین وضعیت اقتصادی آن کشور میباشد. بنابراین تحلیل تغییرات آن همواره مورد توجه اقتصاددانان و سیاستگذاران بوده است. جهت و میزان اثرگذاری نرخ ارز واقعی بر تراز تجاری، در مطالعات دانشگاهی و کاربردی حائز اهمیت است به این دلیل که به نحوه تدوین و اتخاذ سیاستهای کلان مناسب اقتصادی در بخش خارجی کمک میکند. نظر به اینکه در...
We have studied the time lags between commercial line airplane disasters and their occurrence frequency till 2002, as obtained from a freely available website. We show that the time lags seem to be well described by Poisson random events, where the average events rate is itself a function of time, i.e. time-dependent Poisson events. This is likely due to the unsteady growth of the industry. The...
We consider linear time-invariant networks with unknown interaction topology where only a subset of the nodes, termed manifest, can be directly controlled and observed. The remaining nodes are termed latent and their number is also unknown. Our goal is to identify the transfer function of the manifest subnetwork and determine whether interactions between manifest nodes are direct or mediated by...
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