Agent-based modeling simulation under local network externality

In general, consumer utility of network goods is affected by the entire network size. The socio-cultural-economic affinities of consumers influence the network externality processes. In this work, we treat a consumer decision as a consumer decision dynamic process. We then formulate a dynamic structural representation of a consumer network structure, structure of utility function and decision rule under the influence of local network externality concept. This formulation generates a mathematical model for a consumer decision dynamic process. The byproduct of the dynamic model leads to an agent-based simulation model. The simulation model is used to investigate different types of consumer decision dynamic market equilibriums. Moreover, prototype illustrations are given to exhibit the association between network attributes and its market equilibriums.     

Interactive effects of environmental experience and innovative cognitive style on student creativity in product design

Environmental experience can enhance the ideas of design students. Thus, this type of experience may interfere with the influence of design students’ cognitive style on creativity. The aim of this study was to examine the influence of environmental experience on the relationship between innovative cognitive style and industrial design students’ creative outcomes. The environmental experience was measured according to the total scores of the five components of sense, feel, think, act, and relate on the basis of Schmitt’s strategic experience modules. The cognitive styles were measured using Kirton’s adaption–innovation inventory, and creative works were assessed through the consensus assessment technique, which was employed by three experts. Through a field experiment and survey investigation, the analysis indicated that innovative cognitive style significantly and positively influenced creativity, but this only occurred when student was accompanied with a low degree of environmental experience (i.e., a student had a low score for environmental experience); as the student attained a high degree of environmental experience, the influence of innovative cognitive style on creativity became weakened. The experiential media suggested that the natural elements, cultural history, group travel, and narrator effectively diversified the experiences of the students and enhanced creative thinking. This paper suggests providing increased stimulation of environmental experience prior to instructing design students to engage in creative activity. Environmental experience can benefit students by enhancing their creativity.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

Estimating the gravity model when zero trade flows are frequent and economically determined

ABSTRACT

Since the 1950s, we have known that the presence of zero-valued dependent variables can seriously bias econometric estimates whether the zeros are included or excluded. Yet the widely-used gravity model is frequently estimated on samples that include large fractions of zeros. An influential paper by Santos Silva and Tenreyro – based on simulations that include no economically-determined zeros – concludes that the bias problems resulting from zeros and those resulting from heteroscedasticity and nonlinearity can be solved using the Poisson Pseudo-Maximum-Likelihood (PPML) model including the zero values. This paper begins by adapting the Santos Silva and Tenreyro experimental design to include economically-determined zeros to see whether this conclusion continues to hold. With this design, it finds that alternative estimators have lower bias than PPML. Changing to a Monte Carlo design that replicates the much-higher real-world frequency of predicted values near zero restores the finding of lower bias with the PPML estimator. The results highlight the need for very careful design of Monte Carlo experiments when evaluating alternative estimators of the gravity model.     

Policy Dimensions of Progressive Institutional Change: Lessons from China’s Construction of a Socialist Market Economy

Abstract:

Through a comprehensive review of the progressive institutional change (PIC) literature, I first discuss four possible trajectories of PIC by considering the forces of societal reaction that might frame the path, as well as the scale and scope of the changes. Thus, I pose four questions that need to be asked when related policies are formulated for PIC. To illustrate this method, I scrutinize the evidence from the construction of a socialist market economy by the Chinese government since the 1980s and argue that related policies have successfully promoted PIC from three dimensions: (1) curbing potential conflicts with power groups; (2) promoting a sense of awareness among stakeholders; and (3) minimizing disturbances to the community. Actually, the related changes demonstrate a dynamic “displacement process” for PICs. Despite the success of this sociosystem, it is found that the sustaining of PIC which requires policy factors that enhance instrumental efficiency in the Chinese context will serve as a challenge to the Chinese government ahead.     

Valuing the Redevelopment Option Component of Urban Land Values

This study draws from the redevelopment, real option, and urban spatial growth literatures to explore the spatial dynamics of the components of house prices. More specifically, the paper proposes that the capitalized value of the option to redevelop housing at the property level can be estimated by incorporating the likelihood of exercising the redevelopment option (the probability of redevelopment) into spatial and nonspatial hedonic house price models. Accordingly, option values are estimated for properties across the spectrum of the housing life cycle. Results from the study reveal a substantial level of spatial variation and clustering in the predicted option values, indicating that location is a major determinant of redevelopment and real option values. Furthermore, the results provide new evidence in support of the theoretical construct that properties purchased for immediate redevelopment are only valued for the underlying land.     

Tick Size and Financial Reporting Quality in Small-Cap Firms: Evidence from a Natural Experiment

Using a natural experiment (the SEC's 2016 Tick Size Pilot Program), we investigate the effects of an increase in tick size on financial reporting quality. The tick size pilot program reduces algorithmic trading (AT) and increases fundamental investors’ information acquisition and trading activities. This in turn increases the scrutiny of managers’ financial reporting choices and reduces their incentives to engage in misreporting. Using a difference-in-differences research design, we find a significant decrease in the magnitude of discretionary accruals, a significant reduction in the likelihood of just meeting or beating analysts’ forecasts, and a marginally significant decrease in restatements for the treated firms in the pilot program. Furthermore, we find that the change in financial reporting quality is concentrated in treated firms experiencing decreases in AT and increases in information acquisition activities. We also find that the mispricing of accruals is significantly lower for treated firms. Taken together, our results suggest that an increase in tick size has a causal effect on firms’ financial reporting quality.     

Corporate social responsibility,vertical product differentiation and international competition

Would a foreign firm’s consumer‐oriented corporate social responsibility (CSR) activities be rewarded by an importing country’s voluntary tariff reduction? The current paper addresses this question in an import‐competing duopoly model with vertical product differentiation. It is shown that the tariff will decrease if the foreign firm switches from a purely profit‐driven firm to a CSR firm. A consumer‐oriented CSR strategy will always hurt the domestic firm’s profit, whereas the relationship between the foreign firm’s profit and CSR sensitivity (the degree to which a firm cares about consumer welfare) is invertedly U‐shaped. When firms’ decisions to switch to CSR are endogeneized, only the foreign firm will become a CSR firm.     

Does Congruence with an Entrepreneur Social Identity Encourage Positive Emotion Under Environmental Dynamism?

Entrepreneurial identities and emotions can have profound effects on entrepreneurs. We examine how positive emotion (PE) among entrepreneurs may be influenced by the congruence they experience between their self‐concept and the entrepreneur social identity. Given that uncertainty in the business environment can exert powerful effects throughout the entrepreneurial process, we further test the moderating impact of environmental dynamism on the relationship between identity congruence and PE. Results from a study of 175 entrepreneurs indicate that entrepreneurs experiencing greater congruence have higher levels of PE, and that this relationship is stronger in more dynamic environments.     

Prospect Theory,Fairness, and the Escalation of Conflict at a Negotiation Impasse*

We study a bilateral negotiation set-up where, at a bargaining impasse, the disadvantaged party chooses whether to escalate the conflict or not. Escalation is costly for both parties, and it results in a random draw of the winner of the escalated conflict. We derive the behavioral predictions of a simple social utility function, which is convex in disadvantageous inequality, thus connecting the inequity aversion and the prospect theory models. Our causal laboratory evidence is, to a large extent, consistent with the predicted effects. Among other things, the model predicts that the escalation rate is higher when escalation outcomes are riskier, and that the disagreement rate is lower when the cost of escalating the conflict is higher.