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Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Book part
Publication date: 11 December 2023

David J. Teece and Henry J. Kahwaty

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is…

Abstract

The European Union’s Digital Markets Act (DMA) calls for far-reaching changes to the way economic activity will occur in EU digital markets. Before its remedies are imposed, it is critical to assess their impacts on individual markets, the digital sector, and the overall European economy. The European Commission (EC) released an Impact Assessment in support of the DMA that purports to evaluate it using cost/benefit analysis.

An economic evaluation of the DMA should consider its full impacts on dynamic competition. The Impact Assessment neither assesses the DMA's impact on dynamic competition in the digital economy nor evaluates the impacts of specific DMA prohibitions and obligations. Instead, it considers benefits in general and largely ignores costs. We study its benefit assessments and find they are based on highly inappropriate methodologies and assumptions. A cost/benefit study using inappropriate methodologies and largely ignoring costs cannot provide a sound policy assessment.

Instead of promoting dynamic competition between platforms, the DMA will likely reinforce existing market structures, ossify market boundaries, and stunt European innovation. The DMA is likely to chill R&D by encouraging free riding on the investments of others, which discourages making those investments. Avoiding harm to innovation is critical because innovation delivers large, positive spillover benefits, driving increases in productivity, employment, wages, and prosperity.

The DMA prioritizes static over dynamic competition, with the potential to harm the European economy. Given this, the Impact Assessment does not demonstrate that the DMA will be beneficial overall, and its implementation must be carefully tailored to alleviate or lessen its potential to harm Europe’s economic performance.

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The Economics and Regulation of Digital Markets
Type: Book
ISBN: 978-1-83797-643-0

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Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Book part
Publication date: 28 February 2007

Anil Gupta and Ann Harding

Abstract

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Modelling Our Future: Population Ageing, Health and Aged Care
Type: Book
ISBN: 978-1-84950-808-7

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Agricultural Markets
Type: Book
ISBN: 978-0-44482-481-3

Book part
Publication date: 17 January 2009

Mark T. Leung, Rolando Quintana and An-Sing Chen

Demand forecasting has long been an imperative tenet in production planning especially in a make-to-order environment where a typical manufacturer has to balance the issues of…

Abstract

Demand forecasting has long been an imperative tenet in production planning especially in a make-to-order environment where a typical manufacturer has to balance the issues of holding excessive safety stocks and experiencing possible stockout. Many studies provide pragmatic paradigms to generate demand forecasts (mainly based on smoothing forecasting models.) At the same time, artificial neural networks (ANNs) have been emerging as alternatives. In this chapter, we propose a two-stage forecasting approach, which combines the strengths of a neural network with a more conventional exponential smoothing model. In the first stage of this approach, a smoothing model estimates the series of demand forecasts. In the second stage, general regression neural network (GRNN) is applied to learn and then correct the errors of estimates. Our empirical study evaluates the use of different static and dynamic smoothing models and calibrates their synergies with GRNN. Various statistical tests are performed to compare the performances of the two-stage models (with error correction by neural network) and those of the original single-stage models (without error-correction by neural network). Comparisons with the single-stage GRNN are also included. Statistical results show that neural network correction leads to improvements to the forecasts made by all examined smoothing models and can outperform the single-stage GRNN in most cases. Relative performances at different levels of demand lumpiness are also examined.

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Advances in Business and Management Forecasting
Type: Book
ISBN: 978-1-84855-548-8

Book part
Publication date: 15 January 2010

Matteo Sorci, Thomas Robin, Javier Cruz, Michel Bierlaire, J.-P. Thiran and Gianluca Antonini

Facial expression recognition by human observers is affected by subjective components. Indeed there is no ground truth. We have developed Discrete Choice Models (DCM) to capture…

Abstract

Facial expression recognition by human observers is affected by subjective components. Indeed there is no ground truth. We have developed Discrete Choice Models (DCM) to capture the human perception of facial expressions. In a first step, the static case is treated, that is modelling perception of facial images. Image information is extracted using a computer vision tool called Active Appearance Model (AAM). DCMs attributes are based on the Facial Action Coding System (FACS), Expression Descriptive Units (EDUs) and outputs of AAM. Some behavioural data have been collected using an Internet survey, where respondents are asked to label facial images from the Cohn–Kanade database with expressions. Different models were estimated by likelihood maximization using the obtained data. In a second step, the proposed static discrete choice framework is extended to the dynamic case, which considers facial video instead of images. The model theory is described and another Internet survey is currently conducted in order to obtain expressions labels on videos. In this second Internet survey, videos come from the Cohn–Kanade database and the Facial Expressions and Emotions Database (FEED).

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Choice Modelling: The State-of-the-art and The State-of-practice
Type: Book
ISBN: 978-1-84950-773-8

Book part
Publication date: 14 July 2006

Justin van de Ven

The last 60 years have seen Australia and the United Kingdom diverge, both socially and economically. This paper considers how the widening social gap between the two countries is…

Abstract

The last 60 years have seen Australia and the United Kingdom diverge, both socially and economically. This paper considers how the widening social gap between the two countries is reflected by their respective redistributive systems. The analysis is based upon two microsimulation procedures – one static and the other dynamic – both of which are used to consider the probable distributional effects that would arise if elements of the Australian and UK tax and benefits systems were exchanged. The static microsimulation analysis presented suggests that comparisons based purely upon cross-sectional survey data are affected by population heterogeneity, which tend to overstate the redistributive effect of the Australian transfer system relative to the UK. Nevertheless, the dynamic microsimulations suggest that, on balance, the Australian transfer system is more redistributive than the UK system, and reflects a greater concern for redistribution between households. The UK system, in contrast, reflects a greater concern for redistribution through the life course.

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Dynamics of Inequality and Poverty
Type: Book
ISBN: 978-0-76231-350-1

Abstract

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Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Book part
Publication date: 15 August 2007

Don M. Chance and Tung-Hsiao Yang

In some contexts, this illiquidity of executive stock options is referred to as non-transferability. In others, the problem is cast in terms of the highly concentrated portfolios…

Abstract

In some contexts, this illiquidity of executive stock options is referred to as non-transferability. In others, the problem is cast in terms of the highly concentrated portfolios that managers hold, an implication of which is that managers could not trade the options to diversify. The notion of option liquidity usually conjures up images of trading pits at the Chicago Board Options Exchange or other exchanges. The existence of an active trading pit gives a powerful visual image of liquidity, but, as evidenced by the success of electronic options exchanges such as New York's International Securities Exchange and Frankfurt's EUREX, a trading pit is hardly a requirement for liquidity. The existence of a guaranteed market for standardized options as implied by options exchanges (whether pit-based or electronic) further gives a misleading appearance of high liquidity. There is also a very large market for customized over-the-counter options. It is a misconception to think that these options are not liquid when they are simply not standardized. If an investor can create a highly customized long position in an option, that investor should be able to create a highly customized short position in the same option at a later date before expiration. If both options are created through the same dealer, they will usually be treated as an offset, as they would if they were standardized options clearing through a clearinghouse. If the two transactions are not with the same dealer, they would both remain alive, but the market risks would offset. Only the credit risk, a factor we ignore in this paper, would remain. Hence, these seemingly illiquid options are, for all practical purposes, liquid.2

Details

Issues in Corporate Governance and Finance
Type: Book
ISBN: 978-1-84950-461-4

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