Digital workers by design? An example from the on-demand economy. CEPS Working Document No. 414/October 2015 Monday, 19 October 2015

Recent organisational and technological changes à la Uber have generated a new labour market fringe: a digital class of workers and contractors. In this paper we study the case of CoContest, a crowdsourcing platform for interior design. Our objective is to investigate how profitable this type of work can be, also from a cross-country perspective, and why professionals choose to supply work on such a platform. Given the low returns, one might expect to see a pattern of northern employer/southern contractor. Yet analysis reveals a more nuanced pattern, in which designers supply their work even if they live in Italy, which is a high-income country. For these designers work on CoContest can make sense if they are new to the labour market and face high entry barriers, although crowdsourcing does not offer them profitable employment full time. The case of Serbia, the second-largest supplier of designers, is different, however. As a result of differences in purchasing power, if the market grows experienced Serbian designers can expect to make a living from crowdsourced contracts.

Index of the relative importance of fuel efficiency (IFE) in the motor vehicle market. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Market analysis and consumer impacts source document. Part II: review of motor vehicle market and consumer expenditures on motor vehicle transportation. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Changes in motor vehicle buyer attitudes and market behavior. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Estimating educational attainment of future employment demand for states /

"New York State Department of Labor, Division of Research and Statistics, Bureau of Labor Market Information."

Utah increases placements using current occupational data : [how current occupational supply and demand information can be used to increase local office placcements in Utah /

Cover title.

Study of automobile market dynamics. Volume I: description. Final report.

Transportation Systems Center, Cambridge, Mass.

Study of automobile market dynamics. Volume II: analysis. Final report.

Transportation Systems Center, Cambridge, Mass.

Essays on the Issue of Piracy in the Market of Information Goods

Thesis (Ph.D.)--University of Washington, 2016-06

Modelling the behaviour of the new issue market

This paper analyses the time series behaviour of the initial public offering (IPO) market using an equilibrium model of demand and supply that incorporates the number of new issues, average underpricing, and general market conditions. Model predictions include the existence of serial correlation in both the number of new issues and the average level of underpricing, as well as interactions between these variables and the impact of general market conditions. The model is tested using 40 years of monthly IPO data. The empirical results are generally consistent with predictions.

Electricity market price spike forecast with data mining techniques

Electricity market price forecast is a changeling yet very important task for electricity market managers and participants. Due to the complexity and uncertainties in the power grid, electricity prices are highly volatile and normally carry with spikes. which may be (ens or even hundreds of times higher than the normal price. Such electricity spikes are very difficult to be predicted. So far. most of the research on electricity price forecast is based on the normal range electricity prices. This paper proposes a data mining based electricity price forecast framework, which can predict the normal price as well as the price spikes. The normal price can be, predicted by a previously proposed wavelet and neural network based forecast model, while the spikes are forecasted based on a data mining approach. This paper focuses on the spike prediction and explores the reasons for price spikes based on the measurement of a proposed composite supply-demand balance index (SDI) and relative demand index (RDI). These indices are able to reflect the relationship among electricity demand, electricity supply and electricity reserve capacity. The proposed model is based on a mining database including market clearing price, trading hour. electricity), demand, electricity supply and reserve. Bayesian classification and similarity searching techniques are used to mine the database to find out the internal relationships between electricity price spikes and these proposed. The mining results are used to form the price spike forecast model. This proposed model is able to generate forecasted price spike, level of spike and associated forecast confidence level. The model is tested with the Queensland electricity market data with promising results. Crown Copyright (C) 2004 Published by Elsevier B.V. All rights reserved.

Impact of weather dependency on planning decisions in the australian national electricity market

A long-term planning method for the electricity market is to simulate market operation into the future. Outputs from market simulation include indicators for transmission augmentation and new generation investment. A key input to market simulations is demand forecasts. For market simulation purposes, regional demand forecasts for each half-hour interval of the forecasting horizon are required, and they must accurately represent realistic demand profiles and interregional demand relationships. In this paper, a demand model is developed to accurately model these relationships. The effects of uncertainty in weather patterns and inherent correlations between regional demands on market simulation results are presented. This work signifies the advantages of probabilistic modeling of demand levels when making market-based planning decisions.

Probabilistic cost benefit analysis of generation investment in a deregulated electricity market

A new methodology is proposed for the analysis of generation capacity investment in a deregulated market environment. This methodology proposes to make the investment appraisal using a probabilistic framework. The probabilistic production simulation (PPC) algorithm is used to compute the expected energy generated, taking into account system load variations and plant forced outage rates, while the Monte Carlo approach has been applied to model the electricity price variability seen in a realistic network. The model is able to capture the price and hence the profitability uncertainties for generator companies. Seasonal variation in the electricity prices and the system demand are independently modeled. The method is validated on IEEE RTS system, augmented with realistic market and plant data, by using it to compare the financial viability of several generator investments applying either conventional or directly connected generator (powerformer) technologies. The significance of the results is assessed using several financial risk measures.

Productivity and labour demand effects of inward and outward foreign direct investment on UK industry

We relate the technological and factor price determinants of inward and outward foreign direct investment (FDI) to its potential productivity and labour market effects on both host and home economies. This allows us to distinguish clearly between technology-sourcing and technologyexploiting FDI, and to identify FDI that is linked to labour cost differentials. We then empirically examine the effects of different types of FDI into and out of the UK on domestic (i.e. UK) productivity and on the demand for skilled and unskilled labour at the industry level.

FDI and the labour market: a review of the evidence and policy implications

This paper presents a series of results concerning the labour-market impact of inward foreign direct investment (FDI) in the UK. The paper demonstrates that one of the crucial impacts of FDI is to increase wage inequality and the use of relatively more skilled labour in the domestic firms. This result is found to be a combination of two effects. First, the entry by a multinational enterprise (MNE) increases the demand for skilled workers in an industry or region, thus increasing wage inequality. Second, technology spillovers occur from foreign to domestic firms. As a result of these spillovers, relative demand for skilled workers increases in the domestic firms, further contributing to aggregate wage inequality and skill upgrading. The paper also considers how FDI impacts upon skill shares by productivity differentials between foreign and domestic firms. Finally, the policy implications of this are discussed, from the perspective of regional development, and the likely effectiveness of attracting FDI to reduce structural unemployment.