The impact of temporary uses on property prices: the example of food trucks

Food trucks represent a temporary use of vacant or underutilised land. They have been assumed to increase the livability, vibrancy and attractiveness of a neighbourhood. However, no previous study has investigated whether this effect is reflected in property prices within the surrounding neighbourhood. We investigate the impact of a food truck pod on the values of single-family homes nearby. Using a quasi-experimental design, transaction data from Portland, Oregon and a difference-in-difference specification of a spatial regression model, we find that food trucks actually represent a negative externality, and that proximity of a home to food trucks is penalised by homebuyers. The closer a home is to the food trucks, the lower is the sales price. Explanations for this effect include increased parking shortages and trash issues in a neighbourhood due to food truck visitors.     

RIDGE ESTIMATORS FOR PROBIT REGRESSION: WITH AN APPLICATION TO LABOUR MARKET DATA

In this paper we propose ridge regression estimators for probit models since the commonly applied maximum likelihood (ML) method is sensitive to multicollinearity. An extensive Monte Carlo study is conducted where the performance of the ML method and the probit ridge regression (PRR) is investigated when the data are collinear. In the simulation study we evaluate a number of methods of estimating the ridge parameter k that have recently been developed for use in linear regression analysis. The results from the simulation study show that there is at least one group of the estimators of k that regularly has a lower mean squared error than the ML method for all different situations that have been evaluated. Finally, we show the benefit of the new method using the classical Dehejia and Wahba dataset which is based on a labour market experiment.     

多重委托代理下医生最优激励模型设计探究

"过度医疗"即指超过疾病实际需求的诊断和治疗的行为。医疗服务的特殊性,使患者、医生、监督方之间存在信息不对称和多重委托代理关系。鉴于此,从政府的第三方监督职能出发,将政府和患者作为共同委托人,避免政府与医院之间道德风险的发生,构建医生作为代理人的最优激励模型,并得出相关结论与启示。     

Robust influence diagnostics for generalized linear models with continuous responses

This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration.     

How do “gatekeepers” affect credit risk?

This study investigates the relationship between auditor tenure and credit default swap (CDS) spreads of U.S. firms based on quantile regression. After allowing for common determinants of CDS spreads, auditor tenure exerts both statistically and economically significant additional impacts on the CDS market. Furthermore, there are differential effects of common CDS spread determinants and auditor tenure. While common determinants of CDS spreads (e.g., leverage, volatility, risk free rate, credit ratings, and earnings) have monotonically increasing impacts when CDS spreads (and their changes) are increasingly higher, auditor tenure primarily has the impact when CDS spreads are of low or median levels for less risky firms.     

基于T型账户解析《基础会计》利润分配的会计处理

利用T型账户这一辅助手段对利润分配的会计处理进行分析和计算,这样既可以把抽象转化为形象,又使学生容易接受,取得事半功倍的效果。     

对江苏省电力负荷进行回归预测

本文主要根据2001-2011年江苏省用电量样本数据,建立了江苏省电力负荷与人均GDP、工业化以及人口数之间的多元回归预测方程,并预测了江苏省2014-2020年总用电量数据,在此基础上提出了相应的建议。     

How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons

This study investigates the role of hedging and portfolio design among stocks, exchange rates, and gold in small open economies (SOEs) from 4 January 2000 to 31 March 2020. We adopt the trivariate dynamic conditional correlation-fractionally integrated asymmetric power ARCH model and unconditional quantile regression model, and our findings show that the hedging role of the U.S. dollar (USD) and gold against stocks differs under regular and extreme market conditions. The USD can act as a powerful hedge asset for stocks in regular market periods. Moreover, during the global financial crisis and COVID-19 outbreak, the safe-haven effect of gold becomes stronger for almost all stocks, whereas the USD can serve as a strong safe haven against stock markets of Korea, Taiwan, and Singapore when stock returns are extremely low. In terms of portfolio designing, we find that adding the USD and gold to portfolios improves their hedging effectiveness, and the optimally weighted stock-USD-gold portfolio is the best portfolio strategy, irrespective of referring to return or risk.     

投资者动机对众筹投资决策的影响

基于慈善理论,投资者动机分为内源动机、外源动机和提升声誉动机,这些动机既能影响众筹投资者的投资决策,也会相互影响。本文借助"众筹网"的投资数据,对投资者进行分类,考察投资者动机对众筹决策的影响。研究结果显示外源动机投资者、提升声誉动机投资者的投资金额更高;进一步探究内源动机与声誉动机的相互影响,结果显示二者负相关,内源动机投资者更关注内心满足,而对声誉需求较少。该研究可以辅助筹资者设置项目内容吸引不同动机投资者,并帮助众筹平台优化服务,从而提高项目融资效率和成功率。     

生物过滤除臭在葫芦岛高新区污水厂设计中的应用

文章结合污水处理厂实际工程案例,对目前国内普遍采用的各种除臭技术进行比较,对生物过滤技术除臭的设计及运行效果进行详细论述。