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Modeling primary energy and electricity demands in Bangladesh: An Autoregressive distributed lag approach

Sustainable Production and Consumption, 2021
Bangladesh has been acknowledged as one of the fast-emerging global economies and its economy is expected to significantly grow in the years to come. As a result, the demand for energy in Bangladesh is likely to surge whereby meeting the rising energy ...
Muntasir Murshed
semanticscholar   +1 more source

The Impact of Corruption on Tourism Sector in Nigeria: Empirical Insights by Using an Autoregressive Distributed Lag Bounds (ARDL) Testing Approach

International Journal of Hospitality & Tourism Administration, 2021
The study investigates the impact of corruption on tourism in Nigeria. The study employs quarterly frequency data spanning from 2002Q1 to 2018Q4. In examining the short- and long-run relationships between corruption and tourism in Nigeria, the study uses
T. Osinubi   +4 more
semanticscholar   +1 more source

A SIMPLE UNIMODAL LAG DISTRIBUTION

Metroeconomica, 1960
Distributed lags are of considerable importance in the analysis of the relationships between two or more economic variables. They will presumably become of greater importance in the future because of the increased number of quarterly and monthly time series which many statistical bureaus are making available.
Theil, H., Stern, Robert M.
openaire   +2 more sources

Linking biomass energy and CO2 emissions in China using dynamic Autoregressive-Distributed Lag simulations

, 2020
Can biomass energy mitigate CO2 emissions in China? Given increasing environmental pollution and global warming, countries are switching to alternate energy sources that might help pollution reduction and mitigate climate change.
Recep Ulucak
semanticscholar   +1 more source

FLEXIBLE DISTRIBUTED LAGS

2000
In econometrics there is a long history of using continuous functions to force distributed lag coefficients to behave in an economically accepted way. For example, geometrically declining lags have often been used to model coefficients that we believe should be declining. Polynomial lags have been used to model lag coefficients expected to increase and
Chotikapanich, Duangkamon   +3 more
openaire   +3 more sources

Bootstrapping the autoregressive distributed lag test for cointegration

, 2018
We propose a bootstrap autoregressive-distributed lag (ARDL) test. By applying the appropriate bootstrap method, some weaknesses underlying the Pesaran, Shin and Smith ARDL bounds test are addressed including size and power properties and the elimination
R. Mcnown, Chung Yan Sam, S. Goh
semanticscholar   +1 more source

An augmented autoregressive distributed lag bounds test for cointegration

Economic Modelling, 2019
An augmented autoregressive distributed lag (ARDL) bounds test for cointegration involves an extra F-test on the lagged levels of the independent variable(s) in the ARDL equation.
Chung Yan Sam, R. Mcnown, S. Goh
semanticscholar   +1 more source

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