Search results for " rules"
showing 10 items of 194 documents
Stable sharing rules and participation in pools of essential patents
2019
Abstract For pools of essential patents I study whether a pool's sharing rule is stable against arbitrage, so that the pool's members have no incentive to trade patents. I show that the only stable rule is the numeric proportional rule, which gives each member a share of the pool's profit equal to its share of the pool's patents. I study how the stable rule affects firms' incentives to participate, and I show that firms with few patents tend to remain outside the pool. I look at the trade off between stability and participation, and I show that as trade dilutes their shares, members prefer the stable rule. I consider individual licenses, stand-alone patents, integration, and R&D. The result…
From custom to law, an economic rationale behind the black lettering
2018
This article employs the number of rule recipients in order to explain the transformation of some customs into laws. The publication of rules may mark the reaching of the threshold number beyond which the spontaneous rule leaves room for the State intervention. In addition, the publication resolves a couple of questions that Hayek left unresolved. Examples are provided from ancient merchant customs and contemporary international law.
Voters’ preferences and electoral systems: the EuroVotePlus experiment in Italy
2016
Motivated by the need to understand voting behaviour under different electoral rules, Laslier et al. (Eur Union Polit, 16(4):601–615, 2015) have conducted an online experiment, the EuroVotePlus experiment, focusing on the effects of the different rules adopted to elect members of the European parliament on voters’ behaviour. The experiment took place in several European countries in the 3 weeks before the 2014 elections for the European Parliament. This paper focuses on the Italian data. Firstly, we show that the behaviour of Italian respondents is consistent with the empirical findings at the European level. Then, we exploit the change from open list to closed list elections implemented in…
A Study of Seasonality on the SAFEX Wheat Market
2015
This paper examines seasonality in returns and volatilities in the South African Futures Exchange (SAFEX) wheat futures contract in order to seek market inefficiencies that can be exploited for financial gain. Non-parametric and parametric-based techniques are used to study sample regimes before and after the peak in wheat prices that occurred during the global economic crisis in 2008. Findings of the study indicate that wheat returns on Mondays and Kansas City Board of Trade (KCBT) holidays are significant and positive while Tuesday returns are negative and significant. These seasonal patterns occur largely in the second sample of the wheat dataset. Furthermore, it is observed that volatil…
A quest between fiscal and market discipline
2023
Fiscal rules are typically seen as government constraints. Yet, the extent to which they are substituted or complemented by market discipline (especially, during financial stress) remains unexplored. Using data for 71 countries over the period 1985–2015, we estimate an “augmented” fiscal reaction function to assess the impact of both fiscal and market discipline. We find that different market signals influence fiscal policy, but fiscal discipline depends on market incentives. In the EU and the OECD, market signals complement fiscal rules. These are less effective in the EMU and non-OECD countries that are “debt intolerant”. Yet, there are unintended consequences: (i) neither output and debt…
One Rule to Rule Them All? Organisational Sensemaking of Corporate Responsibility
2015
Corporate responsibility (CR) has often been criticised as a decoupled organisational phenomenon: a publicly espoused rule that is not followed in daily organisational practices. We argue that a crucial reason for this criticism arises from the dominant in-house assumption of CR literature, which mitigates tensions and contradictions in organisational life by claiming that integrated rules result in coupled practices. We aim to provide new insights by problematising this in-house assumption and by examining how members of two organisations discursively make sense of CR, as a daily rule-bound practice, via three strategies: integration, differentiation and fragmentation. We elaborate the con…
Key Electoral Institutions and Rules Influencing Proportionality and Partisan Bias in Spanish Politics
2021
The current paper focuses on the Spanish electoral rules governing political competition for the central “Congreso de los Diputados”. It is well-documented that the system as a whole has traditionally favoured one or the other of the two main political parties (PP and PSOE) at the expense of proportionality and the remaining political parties. This paper focuses on some key Spanish electoral rules and investigates how much the observed biases could be altered by introducing some alternative rules taken from the Swedish electoral system, ceteris paribus. Measures of disproportionality are made through the Loosemore–Hanby index and the Gallagher index. The electoral raw data used for our esti…
Trading with Asymmetric Volatility Spillovers
2007
: We study the profitability of trading strategies based on volatility spillovers between large and small firms. By using the Volatility Impulse-Response Function of Lin (1997) and its extensions, we detect that any volatility shock coming from small companies is important to large companies, but the reverse is only true for negative shocks coming from large firms. To exploit these asymmetric patterns in volatility, different trading rules are designed based on the inverse relationship existing between expected return and volatility. We find that most strategies generate excess after-transaction cost profits, especially after very bad news and very good news coming from large or small firm…
Dual Extrapolation for Sparse Generalized Linear Models
2020
International audience; Generalized Linear Models (GLM) form a wide class of regression and classification models, where prediction is a function of a linear combination of the input variables. For statistical inference in high dimension, sparsity inducing regularizations have proven to be useful while offering statistical guarantees. However, solving the resulting optimization problems can be challenging: even for popular iterative algorithms such as coordinate descent, one needs to loop over a large number of variables. To mitigate this, techniques known as screening rules and working sets diminish the size of the optimization problem at hand, either by progressively removing variables, o…
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.
2020
Classification approaches that allow to extract logical rules such as decision trees are often considered to be more interpretable than neural networks. Also, logical rules are comparatively easy to verify with any possible input. This is an important part in systems that aim to ensure correct operation of a given model. However, for high-dimensional input data such as images, the individual symbols, i.e. pixels, are not easily interpretable. Therefore, rule-based approaches are not typically used for this kind of high-dimensional data. We introduce the concept of first-order convolutional rules, which are logical rules that can be extracted using a convolutional neural network (CNN), and w…