Bertrand’s paradox: is there anything else?

In this paper we give some other solutions of the well-known Bertrand??s paradox. The random choice of a chord is done by choosing two independent points under some uniform distributions. We obtained results that differ from the classic ones.     

The temporal variation of cost-efficiency in Switzerland’s hospitals: an application of mixed models

This paper uses a mixed effects model to examine the temporal variation of cost efficiency in Switzerland’s general hospitals. The variations in total costs, the number of empty beds and the length of hospital stays are analyzed using financial data from a sample of 168 hospitals operating from 1998 to 2003, as well as hospitalization records disaggregated to Diagnosis Related Groups. Individual intercepts and random coefficients are used to account for the unobserved time-invariant heterogeneity and the differences in temporal patterns across hospitals and DRG categories. The analysis illustrates the usefulness of mixed models to account for unobserved factors such as quality, with a relatively weak assumption that their temporal variations, rather than their initial levels, be uncorrelated with efficiency changes. The results indicate that hospitals have adopted measures to curtail hospitalizations and reduce empty beds. The extent and effectiveness of these measures vary significantly across individual hospitals. However, there is no evidence in favor of a particular ownership type or subsidization regime. While the link between reduction rates of empty beds and gains in cost-efficiency is statistically significant, the expected association between shortening hospital stays and cost-efficiency cannot be clearly established in the data.

Asset price targeting in an open economy with cognitive limitations: The best for macroeconomic and financial stability?

The choices of policy targets and the formation of agent expectations have been critical issues addressed by monetary policy management since the financial crisis of 2008. This paper evaluates macroeconomic stability in a new Keynesian open economy in which agents experience both cognitive limitations and asset market volatility. The (im)perfect credibility of various monetary policies (e.g., a Taylor-type rule with- or without asset price targeting, strict domestic inflation targeting, strict CPI inflation targeting, and exchange rate peg) may lead agents to react according to their expectation rules, and thus create various degrees of booms and busts in output and inflation. Simulations confirm that a Taylor-type CPI inflation targeting including an asset price target is the best choice. In contrast, the business cycles induced by Keynesian “animal spirits” are enhanced by strict inflation targeting. Furthermore, a credible exchange rate pegging system with an international reserve pooling arrangement can improve social welfare and stability in an open economy, even though its absolute value of the loss function is slightly lower than a Taylor-type CPI inflation targeting including an asset price target.     

The dynamics of entrepreneurs’ networks in a transitioning economy: the case of Russia

Despite its theoretical and practical importance, the evolution and development of entrepreneurs’ networks has attracted a little attention of researchers. The emerging research literature on this topic found that the dynamics of entrepreneurial networks were contingent upon venture lifecycle, industry and region, and resource needs of the firm. In addition and contrast to the previous research, this article examines the effects of the initial network structure, and firm performance of previous years on the changes in entrepreneurs' network structure, relations, and resources over 4 years. The empirical data is composed of the face-to-face interviews with 75 Russian entrepreneurs in 1995, and the follow-up interviews with 56 original respondents in 1999. I found that the greater the initial network size, the less the increase in network size, strong and weak ties, and resources over time. Further, the findings indicate that revenue growth of previous years predicts the changes in networks in the reverse manner. Thus, I found that the greater the average revenue growth, the less the increase in network size, weak ties, and resources over time.     

On Vind’s theorem for an economy with atoms and infinitely many commodities

We extend Vind’s classical theorem on the measure of blocking coalitions valid in finite dimensional atomless economies (see Vind (1972)), to include the possibility of infinitely many commodities as well as the presence of atoms. The commodity space is assumed to be an ordered Banach space which has possibly the empty positive cone. The lack of interior points is compensated by an additional assumption of a cone of arbitrage that allows us to use Lyapunov’s convexity theorem in its weak form. The measure space of agents involves both negligible and non negligible traders. The extension is proved in the general class of Aubin coalitions for which a suitable version of Grodal’s result (Grodal (1972)) is also formulated. Our results wish to point out the relevance of cone conditions dealing with blocking coalitions of arbitrary measure or weight.     

Time-consistent investment policies in Markovian markets: A case of mean–variance analysis

The optimal investment policy for a standard multi-period mean–variance model is not time-consistent because the variance operator is not separable in the sense of the dynamic programming principle. With a nested conditional expectation mapping, we develop an investment model with time consistency in Markovian markets. Furthermore, we examine the differences of the investment policies with a riskless asset from those without a riskless asset. Analytical solutions for time-consistent optimal investment policies and the resulting mean–variance efficient frontier are obtained. Finally, using numerical examples, we show that the optimal investment policy derived from our model is more efficient than that of the standard mean–variance model in which the trade-off is determined between the mean and variance of the terminal wealth.     

Households’ attitudes toward earthquake protection: An empirical analysis of the impact of fiscal support in Japan

Faced with an aging society and major earthquake risk in the near future, promoting the improvement of existing houses is one of the most important issues in Japan. In this paper, we formulate two types of demand models for home safety: a model for barrier-free conversion and a model for seismic retrofit based on a logit model. We explore statistically the factors that affect the demand for each improvement using prefectural data in Japan. We also analyze statistically the significance and impact of financial support programs for improving existing houses, which the Japanese government has implemented at the prefectural and municipal level. The results clarify the differences between the determinants of each type of improvement and show that the support program for barrier-free conversion has a positive and statistically significant effect on households’ preference. However, neither the seismic test nor the seismic retrofit program conducted by prefectures has a positive impact on preference, whereas those by municipalities do affect preference.     

The role of financial development on the underground economy in regards to Europe’s 2020 strategy

This paper attempts to investigate the relationships between development in the financial sector and the size of the underground economy in European Union countries. Our aim is to investigate the role of financial sector development when it comes to the size of the underground economy, as well as how financial development aids in meeting the growth objectives of the ‘Europe 2020 Strategy’. Panel data analysis will be conducted for the period 2004–2017 in order to examine the effects of financial sector development on the size of the underground economy. The main findings of this paper suggest that financial development has a significantly reducing effect on the size of the underground economy. In conclusion, development within the financial sector significantly lessens underground economic activity in the European Union. With further development of the financial sector, underground economies will not be an obstacle for the fulfilment of the cohesion and growth objectives of the Europe 2020 strategy.     

Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy

We analyze whether the Central Bank of Brazil’s Inflation Reports projections influences the private’s inflation expectations. Specifically, we investigate how the central bank’s inflation forecasts affect the private sector’s inflation expectations through a qualitative and quantitative examination of the disagreement measure between them. Furthermore, we appraise if the lack of transparency resulting from the difference between the central bank’s inflation forecasts and the realized inflation affects the private’s inflation expectations. Although the findings confirm the previous studies that point out that the central bank transparency can affect the readjustment of market expectations, the results do not rule out the possibility of the central bank’s forecast and private’s inflation expectations being affected reciprocally.     

A short proof of Deb’s Theorem on Schwartz’s rule

Schwartz in (Nous,7, 1972, Definition, 3) introduces a generalization of the Condorcet criterion, which is the classical approach to rational choice in the context of cycles, and he defines the Schwartz set. Deb (J Econ Theory 16:103–110, 1977) shows that the Schwartz set consists of the maximal elements according to the transitive closure of the asymmetric part of a binary relation corresponding to a choice process or representing the decision maker’s preferences. This note provides a short and simple proof of Deb’s theorem on the characterization of the Schwartz set.     

Role of women’s empowerment in improving farmer’s livelihood: empirical evidence from China

Quality & Quantity - Gender equality and women’s development are the paramount objectives for the sustainable development of the mankind. The influence of women’s rights and status...     

Unpacking the relationship between young ventures’ international learning effort and performance in the context of an emerging economy

This study investigates the relationship between international young ventures’ learning effort and performance in foreign markets, as well as its underlying contingencies, in the context of an emerging economy. We predict that international learning effort enhances international performance, that this effect is stronger at higher levels of market turbulence and intrafirm trust, and that the enabling role of trust for leveraging international learning effort into enhanced performance is particularly strong in turbulent markets. Results from a sample of 162 Chinese international young ventures support the hypotheses. The study has important implications for research on international entrepreneurship.     

Women’s entrepreneurship: A model of business-family interface and performance

Recently, there are renewed calls to develop new models addressing the intricacies of women-owned businesses and the women that head them. A new conceptual model of women’s entrepreneurship that involves relationships between business-family-interface and firm performance is introduced in our paper. We test the model based on data from countries around the world and show that the model’s links depend on the country context. As a result, we identify new boundary conditions to the domain of female entrepreneurship. Implications are discussed.     

Enhancing the green efficiency of fundamental sectors in China’s industrial system: A spatial-temporal analysis

Due to sectoral interactions in the economy, the overall green efficiency (GE) of China’s industrial system relies heavily on fundamental sectors that contribute substantial energy to the supply chain production of other sectors but shows low sectoral GE. For the three fundamental sectors in China’s industrial systems, namely the smelting and pressing of nonferrous metals (SPNFM), the processing of petroleum, coking, and nuclear fuel (PPCNF); and the manufacturing of nonmetallic mineral products (MNMMP), we employed a three-stage data envelopment analysis (DEA) model to measure GE in the fundamental sectors in 30 provinces from 2010 to 2015. We then adopted a stochastic frontier analysis (SFA) model to evaluate the influence of technological innovation (TI), industrial agglomeration (IA), environmental regulation (ER), and intraindustry competition (IC). The results showed that GE in the three fundamental sectors varied spatially. Specifically, TI promoted GE in MNMMP, but the effect was not obvious in the SPNFM and PPCNF sectors. Moreover, ER had positive impacts on GE in the fundamental sectors. The effects of IA and IC on GE in the fundamental sectors varied in direction and strength. After eliminating the impacts of environmental effects and statistical noise, the real GE in the three fundamental sectors varied significantly compared to the comprehensive GE. Policy opportunities for enhancing GE in the fundamental sectors mainly lie in region-specific policy and regulations that avoid a “one-size-fits-all” governance approach.     

‘A deeply troubled organization’: Organizational satire in the BBC’s W1A comedy series

This paper analyses the ways in which a media organization implicated in a series of reputational scandals represents its own management in a comedy series. The organization in question is the BBC (British Broadcasting Corporation) and the comedy series is W1A, a mockumentary commissioned and screened by the BBC in 2014–17. Firstly, I discuss the ways in which W1A as a ‘text’ uses satirical devices to ridicule its own management as well as management fads and fashions. Secondly, I analyse W1A as the ‘intertext’, and consider the satirical representations of management in W1A against the backdrop of the BBC’s reputational scandals. I put forward an interpretation that the intertextual references in the comedy series break down the distance between ‘us’ and ‘the troubled organization’. I also argue that intertextual reading of the series (e.g. the analysis of allusions, cameo appearances, and parallels with the real BBC) throws an entirely different light on organizational wrongdoing, opening new possibilities for organizational reintegration and the repair of broken trust. Not only does the reading of W1A change when the audience considers what is happening in the real BBC, but also our interpretation of what is happening in the BBC may change when we watch W1A.     

Connectedness and risk spillovers in China’s stock market: A sectoral analysis

This paper shows how sectors in the Chinese stock market are connected and investigates risk spillovers across these sectors. Using graph theory and a recently developed time series technique, we are able to identify the systemically important sector in the market and the patterns of risk spillovers across sectors over time. Unlike standard econometric modeling, graph theory enables us to approach this question in a more reader-friendly way. The empirical results show that Industrial sector plays a central role and should thus be considered the systemically most important sector in the Chinese stock market. The spillover structure is found to be time-varying. While Industrial sector dominates the system for most of the time, other sectors such as Consumer Discretionary sector also occasionally appear as the central sector. Our empirical results also indicate that the simple correlation-based approach can produce equally useful information as more advanced econometric models.     

Validating an agent-based model of the Zipf׳s Law: A discrete Markov-chain approach

This study discusses the validation of an agent-based model of emergent city systems with heterogeneous agents. To this end, it proposes a simplified version of the original agent-based model and subjects it to mathematical analysis. The proposed model is transformed into an analytically tractable discrete Markov model, and its city size distribution is examined. Its discrete nature allows the Markov model to be used to validate the algorithms of computational agent-based models. We show that the Markov chains lead to a power-law distribution when the ranges of migration options are randomly distributed across the agent population. We also identify sufficient conditions under which the Markov chains produce the Zipf׳s Law, which has never been done within a discrete framework. The conditions under which our simplified model yields the Zipf׳s Law are in agreement with, and thus validate, the configurations of the original heterogeneous agent-based model.