نتایج جستجو برای: demand shock

تعداد نتایج: 248549  

2007
Wolfgang Lemke

A joint model of macroeconomic and term structure dynamics is specified and estimated for the euro area. The model comprises a backward-looking Phillips curve, a dynamic aggregate demand equation, a monetary policy rule and a specification of the dynamics of trend growth and the natural real rate of interest. Given the linear dynamics of the macroeconomic state variables, bonds are priced under...

2012
Michael D. Grubb

For many goods and services, such as cellular-phone service and debit-card transactions, the price of the next unit of service depends on past usage. As a result, consumers who are inattentive to their past usage but are aware of contract terms may remain uncertain about the price of the next unit. I develop a model of inattentive consumption, derive equilibrium pricing when consumers are inatt...

Journal: :The American Economic Review 2022

Motivated by the effects of COVID-19 pandemic, we present a theory Keynesian supply shocks: shocks that reduce potential output in sector economy, but that, reducing demand other sectors, ultimately push aggregate activity below potential. A shock is more likely when elasticity substitution between sectors relatively low, intertemporal high, and markets are incomplete. Fiscal policy can display...

Journal: :Basic Income Studies 2021

Abstract Covid-19 has sparked calls for a universal basic income as way of coping with demand shock caused by the pandemic. Temporary payments have been part emergency response to This paper questions effectiveness temporary raise demand. Some observers claim that vouchers are better targeted at sectors hit hard people may tendency save than spend from payments. There be stronger case permanent...

2015
N. Sriram

Textile dye industry waste is one of the most serious problems in the environment. The dye wastes are severely deleterious to surface water bodies. The present study was an attempt for the assessment of different physicochemical parameters such as pH, temperature, Electrical Conductivity (EC), Total Solids (TS), Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Dissolved Oxygen (DO), ...

2015

There is recent trend of providing additional treatment of wastewater beyond tertiary level. The purpose is to refine water to a quality that is safe for reuse for unrestricted irrigation and other non potable uses. For this purpose Kuwait has built and operated an advanced wastewater treatment plant with present capacity of 500,000 m/d. This plant providing treatment beyond tertiary utilizes t...

2018
Pimsuda Pansa-Ngat Trin Jedsukontorn Mali Hunsom

This work aimed to produce hydrogen (H₂) simultaneously with pollutant removal from biodiesel wastewater by photocatalytic oxidation using a thermally-treated commercial titanium dioxide (TiO₂) photocatalyst at room temperature (~30 °C) and ambient pressure. The effects of the operating conditions, including the catalyst loading level (1-6 g/L), UV light intensity (3.52-6.64 mW/cm²), initial pH...

2006
Abdullah M. Mohorjy Ahmed M. Khan

This paper presents the results of preliminary assessment of water quality along Red Sea coast adjoining Jeddah, Saudi Arabia. Jeddah is a major city with a population of over 2.6 million and an area 1,200 km. To study the impacts, samples of the Red Sea were collected from 24 important locations near Jeddah and analyzed in the laboratory for various water quality parameters. These parameters i...

Journal: :iranian journal of economic studies 2014
esmaiel abounoori behnam shahriyar

in a structural time series regression model, binary variables have been used to quantify qualitative or categorical quantitative events such as politic and economic structural breaks, regions, age groups and etc. the use of the binary dummy variables is not reasonable because the effect of an event decreases (increases) gradually over time not at once. the simple and basic idea in this paper i...

2014
Hamid Zare Abyaneh

This paper examined the efficiency of multivariate linear regression (MLR) and artificial neural network (ANN) models in prediction of two major water quality parameters in a wastewater treatment plant. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) as well as indirect indicators of organic matters are representative parameters for sewer water quality. Performance of the ANN m...

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