نتایج جستجو برای: regressive distribution lags ardl model
تعداد نتایج: 2586013 فیلتر نتایج به سال:
تاثیرات این متغیر می تواند پیامد هایی همچون تغییر توزیع درامد و تبعات رفاهی فراوانی در هر جامعه ای داشته باشد، بررسی و برآورد این تاثیرات حائز اهمیت است. در مطالعه ی حاضر سعی شده است تا اثر متغیر مذکور بر شاخص قیمت اسمی و حقیقی سهام بورس اوراق بهادار تهران با استفاده از داده های فصلی سال های 1387-1369 بررسی شود. تجزیه و تحلیل داده های مورد استفاده در این مطالعه با استفاده از الگوی خود رگرسیون ...
این مطالعه به بررسی تأثیر سیاستهای مالی دولت بر رشد اقتصادی ایران برای دوره زمانی 82-1338 با استفاده از روش های ardl[1] و vdcf[2]می پردازد. نتایج تحقیق حاکی از آن است که از میان ابزارهای سیاست مالی دولت، مخارج عمرانی و مالیاتها به ترتیب دارای اثرمستقیم و معکوس معناداری بر رشد اقتصادی هستند، ولیکن مخارج مصرفی اثر معناداری بر رشد اقتصادی ندارد.از نتایج به دست آمده برای امر سیاستگزاری می توان به ا...
BACKGROUND The transmission of hemorrhagic fever with renal syndrome (HFRS) is influenced by population dynamics of its main host, rodents. It is therefore important to better understand rodents' characteristic in epidemic areas. METHODOLOGY/PRINCIPAL FINDINGS We examined the potential impact of food available and climatic variability on HFRS rodent host and developed forecasting models. Mont...
We propose two semiparametric model averaging schemes for nonlinear dynamic time series regression models with a very large number of covariates including exogenous regressors and auto-regressive lags, aiming to obtain accurate forecasts of time series by using a large number of conditioning variables in a nonparametric way. In the first scheme, we introduce a Kernel Sure Independence Screening...
The first section of this paper reviews the most recent evidence on inequality in 18 Latin American countries and shows that in all but four the changes in inequality over the 1990s were small and insignificant. The distribution depends on the ownership and rate of return on assets, particularly human capital. In the short run changes in these two variables tend to be offsetting-growth widens s...
Assuming an auto regressive (AR) lter model driven by a non-Gaussian white noise we formulate a general parameter estimation problem. A maximum likelihood solution gives an AR estimate of the l-ter and the probability distribution function parameters for non-Gaussian input. The proposed method is optimal in the information theoretic sense, giving the most probable model for the source and lter ...
Purpose: Tanzania is one of the mineral-rich countries giving corporate income tax (CIT) concessions to encourage foreign direct investment (FDI). Tanzania's mining industry remains enticing investors, owing its expanding diversity. This paper assesses impact in sector for period 1990 – 2020. The also sought analyse other determinants FDI namely, Political stability, Human capital and infrastru...
The hidden non-linear association between governance indicators & stock market development (SMD) of Pakistan has been scrutinized in this study by using two comparative co-integrating techniques known as ARDL (Auto-regressive Distributed Lag) NARDL (Non-linear ARDL). Empirical evidence suggests that misrepresented inferences arise ignoring non-linearity nexus the variables. results indicate...
The stock market represents a major source of long-term funds. However, the Nigerian lacks depth due to weak regulatory system and legal framework. Extant studies have shown that both institutional quality openness are enablers market. An analysis effects on development from 1996 2021 is therefore crucial. Auto Regressive Distributive Lag (ARDL) method used analyze data World Bank databases Lan...
A non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural network. The NARXM-neural network updating procedure is tested using the daily discharge forecasts of the soil moisture accounting and routing (SMAR) conceptual model operating on five catchments havin...
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