scholarly journals Cartel Stability under an Optimal Sharing Rule

2005 ◽  
Author(s):  
Hans-Peter Weikard
Keyword(s):  
Sharing Rule ◽  
Cartel Stability

scholarly journals CARTEL STABILITY UNDER AN OPTIMAL SHARING RULE

2009 ◽  
Vol 77 (5) ◽  
pp. 575-593 ◽  
Author(s):  
HANS-PETER WEIKARD
Keyword(s):  
Sharing Rule ◽  
Cartel Stability

Cartel Stability by a Margin

2018 ◽  
Author(s):  
Timo Klein ◽  
Maarten Pieter Schinkel
Keyword(s):  
Cartel Stability

Household consumption allocation and the collective household model: Children share of household resources in The Gambia

2021 ◽  
pp. 1-13
Author(s):  
Madi Mangan
Keyword(s):  
Household Income ◽  
Nonlinear Least Squares ◽  
The Gambia ◽  
Factor Price ◽  
Sharing Rule ◽  
Income Elasticities ◽  
Household Resources ◽  
Price And Income Elasticities ◽  
Household Model ◽  
Household Members

This paper applies the collective household model to allocate household resources among household members. With a Collective Quadratic Almost Ideal Demand System (CQUAIDS) estimated by a Feasible Generalized Nonlinear Least Squares (FGNLS) method, it studies the household demand for six categories of household goods using household income and expenditure survey data from The Gambia, directed to studying the allocation of resources among young and adult members of households in The Gambia. It establishes the sharing rule for children and adult members of the household and shows the effect of demographic, distributive factor, price and income elasticities on the shares of household resources. The results establish that a higher share of resources goes for children while the sharing rule varies for different household types. Also, the findings show significant effects of demographic, distributive factor, price and income on the allocation of the household resources of consumption goods by the household.

scholarly journals Improved inference for areal unit count data using graph-based optimisation

2021 ◽  
Vol 31 (4) ◽  
Author(s):  
Duncan Lee ◽  
Kitty Meeks ◽  
William Pettersson
Keyword(s):  
Random Effects ◽  
Count Data ◽  
Prior Distribution ◽  
Disease Surveillance ◽  
Sharing Rule ◽  
Markov Random ◽  
Spatial Correlation Structure ◽  
Conditional Autoregressive ◽  
Spatio Temporal ◽  
Special Case

AbstractSpatio-temporal count data relating to a set of non-overlapping areal units are prevalent in many fields, including epidemiology and social science. The spatial autocorrelation inherent in these data is typically modelled by a set of random effects that are assigned a conditional autoregressive prior distribution, which is a special case of a Gaussian Markov random field. The autocorrelation structure implied by this model depends on a binary neighbourhood matrix, where two random effects are assumed to be partially autocorrelated if their areal units share a common border, and are conditionally independent otherwise. This paper proposes a novel graph-based optimisation algorithm for estimating either a static or a temporally varying neighbourhood matrix for the data that better represents its spatial correlation structure, by viewing the areal units as the vertices of a graph and the neighbour relations as the set of edges. The improved estimation performance of our methodology compared to the commonly used border sharing rule is evidenced by simulation, before the method is applied to a new respiratory disease surveillance study in Scotland between 2011 and 2017.

scholarly journals GENERAL TRUST AND INDIVIDUAL DIFFERENCES ON THE WASON SELECTION TASK WITH SHARING-RULE

PSYCHOLOGIA ◽  
2004 ◽  
Vol 47 (4) ◽  
pp. 226-237 ◽  
Author(s):  
Kai HIRAISHI ◽  
Juko ANDO ◽  
Yutaka ONO ◽  
Toshikazu HASEGAWA
Keyword(s):  
Individual Differences ◽  
Selection Task ◽  
Sharing Rule ◽  
Wason Selection Task ◽  
General Trust

scholarly journals Intrahousehold Bargaining Power in Spain: An Empirical Test of the Collective Model

2022 ◽  
Author(s):  
José Alberto Molina ◽  
Jorge Velilla ◽  
Helena Ibarra
Keyword(s):  
Household Income ◽  
Bargaining Power ◽  
Empirical Test ◽  
Empirical Support ◽  
Household Labor ◽  
Collective Model ◽  
Intrahousehold Bargaining ◽  
Sharing Rule ◽  
Policy Makers ◽  
Unique Data

AbstractThis paper analyzes the intrahousehold bargaining power of spouses in Spanish families, in a collective framework. We estimate household labor supply equations and, under certain testable restrictions, we obtain a theoretically derived sharing rule for household income, which characterizes intrahousehold bargaining power. Then, using unique data on decision-making in the household, we construct Pareto weights, and study the validity of the collective model by comparing the theoretical sharing rule and the constructed Pareto weight. The results reveal that both the observed Pareto weight and the theoretical sharing rule display qualitative similarities, thus providing direct empirical support to the collective model. Furthermore, the results suggest that Spanish wives behave more altruistically, while husbands behave more egoistically. This should be taken into account by policy makers and researchers when analyzing inequality in the household, and contemplating specific policies affecting the household.

SME E-Cooperation

2012 ◽  
Vol 8 (1) ◽  
pp. 53-64 ◽  
Author(s):  
María Verónica Alderete
Keyword(s):  
Asymmetric Information ◽  
Virtual Team ◽  
Hidden Information ◽  
Sharing Rule ◽  
Theoretical Perspectives ◽  
Information Frame

Virtual Cooperation among SME firms can be analyzed from different theoretical perspectives. This paper considers e-cooperation among firms under asymmetric information. Firms cooperate jointly to produce some output or service, and they organize in teams whose firms’ characteristics are imperfectly observed. Suppose firms can observe their efforts or actions but they cannot observe the disutility of effort which they can discover after the contract is signed. The objective of this paper is to analyze virtual cooperation contracts under hidden information based on the original papers of Holmstrom (1982) and Rasmussen (1987). Some conditions are derived under which it is possible to implement an optimal sharing rule for a virtual team of SME under a hidden information frame.

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