Factors of production,productivity, institutions,and development: Evidence from Brazil

The economic growth and development literature emphasizes that investment in technology and physical and human capital is essential for achieving higher levels of development. Political and economic institutions are also relevant in this process. With a sample of 5,503 Brazilian municipalities, this study carries out a development accounting exercise and measures the effects of institutional quality on per capita gross domestic product (GDP), physical capital intensity, human capital stock, and productivity. The empirical results indicate that institutional quality affects GDP per capita mainly through human capital accumulation and total factor productivity.     

Green Alliances: Are They Beneficial when Regulated Firms are Asymmetric?

Journal of Industry, Competition and Trade - In this paper, we analyze the collaboration between an environmental group (EG) and polluting firms when they are asymmetric in their abatement costs....     

Who Pays More for a Cultural Festival,Tourists or Locals? A Certainty Analysis of a Contingent Valuation Application

Cultural festivals are one of the most common representations of diversification strategies in tourist demand in cities boasting abundant historical heritage. The goal of this work is to estimate the economic value allocated by tourists and local residents to a classical music festival in the emblematic city of Santiago de Compostela (Spain). The contingent valuation method is used to ascertain whether there are any significant differences between the value declared and to study the sensitivity of the findings in a range of socio‐economic variables. Finally, the problems of hypothetical bias are explored, as are the possible implications for management of pricing policies. Copyright © 2011 John Wiley & Sons, Ltd.     

Coalition-proof stable networks

Review of Economic Design - We propose the notion of coalition-proof stability for predicting the networks that could emerge when group deviations are allowed. A network is coalition-proof stable...     

Option prices for risk-neutral density estimation using nonparametric methods through big data and large-scale problems

Option pricing theory determines the structure of call and put option pricing functions. In nonparametric risk-neutral density estimation based on kernel functions, local constraints cannot induce a second derivative function that must integrate one. Convexity and monotonicity of pricing functions also cannot be enforced. A large-scale (optimization) approach is proposed for the risk-neutral density estimation, imposing an enlarged set of no-arbitrage constraints. We considered simulations using Heston's model and hypergeometric functions. The method is applied to samples of intraday data from VIX and S&P500 indexes.     

Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records

Non-parametric estimation of the survival function using observed failure time data depends on the underlying data generating mechanism, including the ways in which the data may be censored and/or truncated. For data arising from a single source or collected from a single cohort, a wide range of estimators have been proposed and compared in the literature. Often, however, it may be possible, and indeed advantageous, to combine and then analyse survival data that have been collected under different study designs. We review non-parametric survival analysis for data obtained by combining the most common types of cohort. We have two main goals: (i) to clarify the differences in the model assumptions and (ii) to provide a single lens through which some of the proposed estimators may be viewed. Our discussion is relevant to the meta-analysis of survival data obtained from different types of study, and to the modern era of electronic health records.     

Are cooperatives gender sensitive? A confirmatory and predictive analysis of women's collective entrepreneurship

The literature on entrepreneurship has developed a huge body of fruitful research to explain why women do not engage in business as often as men. However, relatively little is known about the role that different business models may play in driving women's entrepreneurial activity, which is examined in this study. In this paper we develop a model to empirically test the relationship between women's motivations to become entrepreneurs and their willingness to embark on business through cooperatives, a particular organizational model. We find that the fit between women's needs and expectations and the guiding principles of cooperatives is decisive for the materialization of female entrepreneurship. Furthermore, we explore the role that institutions can play in fostering this link. In doing so, we extend the literature on women's entrepreneurship by highlighting key factors to better channel the development of this potential resource for economic development. Our confirmatory model highlights the role of cooperatives as a type of organization particularly suited to the interests and needs of women entrepreneurs. Thus, the promotion of this business model can be useful to improve the number of women entrepreneurs and, in turn, enhance economic development.     

The relationship between business characteristics and ICT deployment in the rural tourism sector. The case of Spain

The deployment of information and communication technologies (ICT) is crucial for the competitiveness of rural tourism businesses. It is therefore important to know the relation between a firm's characteristics and ICT deployment. This study makes two hierarchical segmentations to predict the behaviour of these firms when deploying the Web and e‐mail. This work determines which characteristics are related to ICT deployment. Activity and category are the two characteristics that most effectively predict a firm's behaviour, whereas location and size are less effective. These results have implications for entrepreneurial behaviour and for public agents working in rural tourism. Copyright © 2009 John Wiley & Sons, Ltd.     

BargCrEx: A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing

Group Decision and Negotiation - Crowdsourcing and crowd voting systems are being increasingly used in societal, industry, and academic problems (labeling, recommendations, social choice, etc.) due...     

Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty

Macroeconomic data are subject to data revisions. Yet, the usual way of generating real-time density forecasts from Bayesian Vector Autoregressive (BVAR) models makes no allowance for data uncertainty from future data revisions. We develop methods of allowing for data uncertainty when forecasting with BVAR models with stochastic volatility. First, the BVAR forecasting model is estimated on real-time vintages. Second, the BVAR model is jointly estimated with a model of data revisions such that forecasts are conditioned on estimates of the ‘true’ values. We find that this second method generally improves upon conventional practice for density forecasting, especially for the United States.