Most people in the United States purchase health insurance through their employer due to the tax subsidy on employer-provided health insurance premiums. A large literature has developed that looks at impact of reductions in this tax subsidy. Recent papers tend to focus on changes in offers, eligibility, and take-up as a result of changes in the tax subsidy. One might consider these as changes a...

This paper analyzes the adjustment of consumption expenditures if the subjective mortality hazard increases after a shock. The life-cycle model with mortality risk implies an upward adjustment of consumption expenditures as a response to such a shock. I use data from the Survey of Health, Ageing and Retirement in Europe (SHARE) to test this implication. In each survey wave, the mortality hazard...

Nowadays generation capacity in traditional grid depends on fossil fuels and contributes significantly to the increase of pollution emission. In deregulated grids in addition to using demand response programs (DRPs) to reducing the cost of electricity production, peak clipping and improve reliability use of green Plants such as hydro plant, wind plant become widespread. In a smart grid, end use...

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...

In power grids, there must always be a balance between energy production and consumption. Due to the variable nature of consumers, energy production should also be subject to these changes. Electricity storage is one of the most important issues in the electricity industry, which can generate many ancillary services such as load curve leveling, peak shaving, integration with renewable units, ro...

This paper explores the connection between collaborative consumption and technology, in particular the internet, smartphones and social network sites (SNSs). Based on a content analysis of 63 newspaper articles about collaborative consumption, it is argued that collaborative consumption is constructed as a high-tech phenomenon in three main ways: first, technology is depicted as enabling collab...

Electricity cannot be stored and needs huge amount of capital so producers and consumers pay special attention to predict electricity consumption. Besides, time-series data of the electricity market are chaotic and complicated. Nonlinear methods such as Neural Networks have shown better performance for predicting such kind of data. We also need to analyze other variables affecting electricity c...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...