Application of Chemometrics into Removal of Dyes by NaX Nanozeolites: Simultaneous Model

2021 ◽  
Author(s):  
Siroos Shojaei ◽  
Saeed Shojaei ◽  
Shahab S. Band
Keyword(s):  
Simultaneous Model

Simultaneous Model-Based Inversion for Lithology, Porosity, and Fluid

2005 ◽  
Vol 36 (4) ◽  
pp. 351-356 ◽  
Author(s):  
Kyle T. Spikes ◽  
Jack P. Sambridge
Keyword(s):  
Model Based ◽  
Simultaneous Model

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

scholarly journals SIMULATION ANALYSIS OF THE INFLUENCE OF GOVERNMENT MINIMUM EXPENDITURE AND WAGE EXPENDITURE IN THE SIMULTANEOUS INDUSTRIAL SECTOR MODEL OF DKI JAKARTA PROVINCE

2018 ◽  
Vol 2 (2) ◽  
pp. 96-107
Author(s):  
Freddy Wangke
Keyword(s):  
Minimum Wage ◽  
Least Squares Method ◽  
Simulation Analysis ◽  
Industrial Sector ◽  
Provincial Government ◽  
Production Costs ◽  
Estimation Model ◽  
Simulation Results ◽  
The Government ◽  
Simultaneous Model

The purpose of the study was to determine the effect of increasing expenditure and increasing the minimum wage of the government in the simultaneous model of the industrial sector of DKI Jakarta province. The estimation model in the simultaneous model of the industrial sector of DKI province uses the 2 SLS (Two-Stage Least Squares) method. The simulation results of a 10% increase in the expenditure of the provincial government of DKI has resulted in an increase of investment of 4.72%, production growth of 0.19%, employment of 0.17%, an increase in production costs by 0.24%, and company profits increased by 0.10%. On the other hand, the simulation results of a 10% increase in the provincial minimum wage has resulted in a decrease in labor absorption by 0.55%, a decrease in production in the industrial sector has resulted in 0.21%, a decrease in investment by 0.07%, and a decrease in production costs by 0.04%.

scholarly journals Interactions between Resident Risk Perceptions and Wildfire Risk Mitigation: Evidence from Simultaneous Equations Modeling

Fire ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 46
Author(s):  
James R. Meldrum ◽  
Hannah Brenkert-Smith ◽  
Patricia Champ ◽  
Jamie Gomez ◽  
Lilia Falk ◽  
...  
Keyword(s):  
Risk Perceptions ◽  
Risk Mitigation ◽  
Household Survey ◽  
Science Literature ◽  
Wildfire Risk ◽  
Level Data ◽  
Publicly Supported ◽  
Survey Responses ◽  
In Fire ◽  
Simultaneous Model

Fire science emphasizes that mitigation actions on residential property, including structural hardening and maintaining defensible space, can reduce the risk of wildfire at a home. Accordingly, a rich body of social science literature investigates the determinants of wildfire risk mitigation behaviors of residents living in fire-prone areas. Here, we investigate relationships among wildfire hazards, residents’ risk perceptions, and conditions associated with mitigation actions using a combination of simulated wildfire conditions, household survey responses, and professionally assessed parcel characteristic data. We estimate a simultaneous model of these data that accounts for potential direct feedbacks between risk perceptions and parcel-level conditions. We also compare the use of self-reported versus assessed parcel-level data for estimating these relationships. Our analysis relies on paired survey and assessment data for approximately 2000 homes in western Colorado. Our simultaneous model demonstrates dual-directional interactions between risk perceptions and conditions associated with mitigation actions, with important implications for inference from simpler approaches. In addition to improving general understanding of decision-making about risk and natural hazards, our findings can support the effectiveness of publicly supported programs intended to encourage mitigation to reduce society’s overall wildfire risk.

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