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Signaling Model (signaling + model)

Distribution by Scientific Domains
Business, Economics, Finance and Accounting40%

Selected Abstracts

Structural Power and Public Policy: A Signaling Model of Business Lobbying in Democratic Capitalism

POLITICAL STUDIES, Issue 1 2005
Patrick Bernhagen
This paper develops a signaling model of corporate lobbying in democratic capitalist societies to analyze the conditions that lead to a powerful political position of business. Proceeding from the traditional dichotomy of structural economic determinants versus business' political action, our model predicts the conditions under which elected political decisionmakers modify their policy pledges to accommodate business' political preferences, or override business' lobbying messages and honor their pledges. Our results show that the structural power of business over public policy is contingent on two variables: the size of reputation costs of business in relation to its material costs of lobbying; and the ratio of the policymaker's reputation constraints from policy commitments and campaign pledges to the electoral costs arising from adverse effects of policy. We evaluate our model using case studies of business lobbying on environmental and financial services regulation in Britain and Germany. [source]

Prior Payment Status and the Likelihood to Pay Dividends: International Evidence

FINANCIAL REVIEW, Issue 3 2010
Mia Twu
G32; G35 Abstract By using the signaling model and the life-cycle theory, I examine the importance of prior payment status in determining the likelihood to pay dividends. I categorize firms into those that paid dividends previously and those that did not. My results show that strong dividend stickiness exists and the determinants to pay differ significantly for the two groups of firms. High growth and low insider holdings make prior payers more likely to pay but prior nonpayers less likely to pay. Furthermore, prior payers are more sensitive to profitability and earned/contributed equity mix, while prior nonpayers are more sensitive to risk and dividend premiums. Finally, taking the prior payment status into account eliminates the problem of overestimating the portion of payers put forth by previous studies. [source]

Structural Power and Public Policy: A Signaling Model of Business Lobbying in Democratic Capitalism

POLITICAL STUDIES, Issue 1 2005
Patrick Bernhagen
This paper develops a signaling model of corporate lobbying in democratic capitalist societies to analyze the conditions that lead to a powerful political position of business. Proceeding from the traditional dichotomy of structural economic determinants versus business' political action, our model predicts the conditions under which elected political decisionmakers modify their policy pledges to accommodate business' political preferences, or override business' lobbying messages and honor their pledges. Our results show that the structural power of business over public policy is contingent on two variables: the size of reputation costs of business in relation to its material costs of lobbying; and the ratio of the policymaker's reputation constraints from policy commitments and campaign pledges to the electoral costs arising from adverse effects of policy. We evaluate our model using case studies of business lobbying on environmental and financial services regulation in Britain and Germany. [source]

MULTIDIMENSIONAL SIGNALING IN THE LABOR MARKET

THE MANCHESTER SCHOOL, Issue 2007
JEONG-YOO KIM
I consider a two-dimensional job market signaling model in which firms care about a worker's personal network as well as his technical productivity, and a worker can choose both academic activity and social activity to signal his ability. In a simple model where the social activity forming a social network does not require special ability, I show that the Cho,Kreps intuitive criterion singles out Spence's outcome of signaling high academic ability by high education. I also demonstrate the possibility that a worker with high academic ability may underinvest in education when the social ability is correlated with the academic ability. [source]

Role of Network Branching in Eliciting Differential Short-Term Signaling Responses in the Hypersensitive Epidermal Growth Factor Receptor Mutants Implicated in Lung Cancer

BIOTECHNOLOGY PROGRESS, Issue 3 2008
Jeremy Purvis
We study the effects of EGFR inhibition in wild-type and mutant cell lines upon tyrosine kinase inhibitor TKI treatment through a systems level deterministic and spatially homogeneous model to help characterize the hypersensitive response of the cancer cell lines harboring constitutively active mutant kinases to inhibitor treatment. By introducing a molecularly resolved branched network systems model (the molecular resolution is introduced for EGFR reactions and interactions in order to distinguish differences in activation between wild-type and mutants), we are able to quantify differences in (1) short-term signaling in downstream ERK and Akt activation, (2) the changes in the cellular inhibition EC50 associated with receptor phosphorylation (i.e., 50% inhibition of receptor phosphorylation in the cellular context), and (3) EC50 for the inhibition of activated downstream markers ERK-(p) and Akt-(p), where (p) denotes phosphorylated, upon treatment with the inhibitors in cell lines carrying both wild-type and mutant forms of the receptor. Using the branched signaling model, we illustrate a possible mechanism for preferential Akt activation in the cell lines harboring the oncogenic mutants of EGFR implicated in non-small-cell lung cancer and the enhanced efficacy of the inhibitor erlotinib especially in ablating the cellular Akt-(p) response. Using a simple phenomenological model to describe the effect of Akt activation on cellular decisions, we discuss how this preferential Akt activation is conducive to cellular oncogene addiction and how its disruption can lead to dramatic apoptotic response and hence remarkable inhibitor efficacies. We also identify key network nodes of our branched signaling model through sensitivity analysis as those rendering the network hypersensitive to enhanced ERK-(p) and Akt-(p); intriguingly, the identified nodes have a strong correlation with species implicated in oncogenic transformations in human cancers as well as in drug resistance mechanisms identified for the inhibitors in non-small-cell lung cancer therapy. [source]