Evaluation of the profitability of quality labels in rural tourism accommodation: a hedonic approach using propensity score matching

In recent years, quality labels for the Spanish tourism sector have been developed as part of a competitive strategy focused on the differentiation of the product. Given this development, it is interesting to analyse the profitability of quality labels for the accommodation owners and managers. In particular, this article calculates the profitability of a rural tourism quality label. Through the use of the hedonic price approach, the market valuation of the quality label for rural self-catering cottages is obtained. This valuation is subsequently compared with the expenses incurred by establishments in achieving the quality label. In order to address the usual methodological problems associated with the endogeneity, prior to application of the hedonic approach, the propensity score matching is used. The results indicate that possessing a quality label has a positive impact on the profitability of rural tourism.     

Bias-corrected estimates of reduction of post-surgery length of stay and corresponding cost savings through the widespread national implementation of fast-tracking after liver transplantation: a quasi-experimental study

Background: Fast-tracking is an approach adopted by Mayo Clinic in Florida’s (MCF) liver transplant (LT) program, which consists of early tracheal extubation and transfer of patients to surgical ward, eliminating a stay in the intensive care unit in select patients. Since adopting this approach in 2002, MCF has successfully fast-tracked 54.3% of patients undergoing LT.

Objectives: This study evaluated the reduction in post-operative length of stay (LOS) that resulted from the fast-tracking protocol and assessed the potential cost saving in the case of nationwide implementation.

Methods: A propensity score for fast-tracking was generated based on MCF liver transplant databases during 2011–2013. Various propensity score matching algorithms were used to form control groups from the United Network of Organ Sharing Standard Analysis and Research (STAR) file that had comparable demographic characteristics and health status to the treatment group identified in MCF. Multiple regression and matching estimators were employed for evaluation of the post-surgery LOS. The algorithm generated from the analysis was also applied to the STAR data to determine the proportion of patients in the US who could potentially be candidates for fast-tracking, and the potential savings.

Results: The effect of the fast-tracking on the post-transplant LOS was estimated at approximately from 2.5 (p-value?=?0.001) to 3.2 (p-value?Conclusion: The fast-track program was found to be effective in reducing post-transplant LOS, although the reduction appeared to be less than previously reported. Nationwide implementation of fast-tracking could result in substantial cost savings without compromising the patient outcome.     

体育经济发展的基本条件及对策研究

体育经济的产生和发展是要以一定的物质基础为支撑的。体育商品的生产,体育基础设施的建设,消费者的支付能力和社会生活方式的改变是体育经济发展的基本条件。其中消费者的支付能力起着关键的作用。     

普及互联网使用有助于缩小农村内部收入差距吗？——来自CLDS村级数据的经验证据

由于互联网具有普惠性和亲贫性,个体使用互联网对其收入增长的促进作用在群体上表现为互联网使用普及的平均收入增长效应和收入差距缩小效应。采用“中国劳动力动态调查”（CLDS）2014年、2016年、2018年三期的数据,分析互联网使用普及对农村社区（村庄）平均家庭收入和家庭收入差距的影响,结果显示：村庄内使用互联网家庭的占比提高不仅能显著提升平均家庭收入水平,而且会显著降低家庭收入基尼系数,验证了互联网的普惠性和亲贫性;当普及程度小于0.4时互联网使用对家庭收入差距的影响不显著（具有随着互联网使用率提高由正转负的趋势）,当普及程度大于0.4后互联网使用对家庭收入差距具有显著的负向影响;互联网使用普及可以通过促进服务业发展、提升劳动力技能等群体改善效应缩小农村内部收入差距。因此,应当加快网络基础设施建设,推进互联网使用在农村地区的普及,着重提高弱势群体对互联网使用的可及性,推动互联网与农村应用场景的深度耦合,充分发挥互联网的普惠性和亲贫性功效,有效促进农村居民的收入水平提升和收入差距缩小。     

Labour market effects of retraining for the unemployed: the role of occupations

We analyse the impact of retraining for unemployed low-skilled job-seekers in Germany. This extensive training programme leads to a formal vocational degree, which is often required to access certain professions. Applying statistical matching methods, we find that on average, after a period with large lock-in effects, retraining strongly increases the employment probability of participants, especially women. We add to the literature by estimating the employment effects for different occupations for which participants are trained. Our results show that there are substantial differences depending on the occupation. As the composition of trained occupations differs for men and women, segregation could be a driver of higher employment effects for women. However, comparisons of men and women trained for the same occupations reveal that even after controlling for segregation, women profit more from retraining. While caseworkers are instructed to choose professions with high labour demand, other aspects, such as working conditions, preferences and aptitudes of participants, should be crucial in the choice of a suitable occupation. An individual assessment of the suitability of an occupation could therefore improve the overall effectiveness of the programme.     

Does income inequality increase marginal propensity to consume?

This article empirically investigates the effects of income inequality on the marginal propensity to consume (MPC), using panel data of 22 OECD countries over the period 1994–2015. We find that MPC increases dramatically as income inequality increases. In subsample analyses, the MPC of a high inequality group is more than twice that of a low inequality group.     

The negative consequences of school bullying on academic performance and mitigation through female teacher participation: evidence from Ghana

Exploiting data from Ghanaian schools’ eighth grade students collected in 2011, we estimate the causal effects of school bullying on academic achievement and gender-based mitigating approaches by using propensity score matching (PSM) and doubly robust (DR) estimator approach. We find that students victimized by bullying score at least 0.22 standard deviation lower than their peers in a standardized mathematics examination. Meanwhile, we document that the effect of bullying is significantly attenuated in the presence of female teachers in the classroom. These results hold through a set of robustness checks including placebo regressions and matching quality test. We explain the results through gender difference in teaching paradigm and conclude that a feminine management approach in class is required to reduce the effect of bullying.     

Choosing propensity score matching over regression adjustment for causal inference: when,why and how it makes sense

Summary

This study identified when regression adjustment fails to adjust adequately for differences in observed covariates and where propensity score matching is the only alternative.

Multivariate analysis might fail to adjust for observed confounders if:

• 1. The means of the propensity scores in the two groups are more than one-half a standard deviation apart unless distributions of the covariates in both groups are nearly symmetric, sample sizes of the two groups are approximately the same and distributions of the covariates in the two groups have similar variances;

• 2. The ratio of the propensity score variances in the two groups is significantly different from one;

• 3. The ratio of residual variances in the two groups after adjusting for the propensity score is significantly different from one.

Conducted retrospective analysis showed that the treatment effect would be an estimated $305 (or 26%) less if the misspecified outcome model had been chosen.     

Model uncertainty and asset return predictability: an application of Bayesian model averaging

We investigate model uncertainty associated with predictive regressions employed in asset return forecasting research. We use simple combination and Bayesian model averaging (BMA) techniques to compare the performance of these forecasting approaches in short-vs. long-run horizons of S&P500 monthly excess returns. Simple averaging involves an equally-weighted averaging of the forecasts from alternative combinations of factors used in the predictive regressions, whereas BMA involves computing the predictive probability that each model is the true model and uses these predictive probabilities as weights in combing the forecasts from different models. From a given set of multiple factors, we evaluate all possible pricing models to the extent, which they describe the data as dictated by the posterior model probabilities. We find that, while simple averaging compares quite favorably to forecasts derived from a random walk model with drift (using a 10-year out-of-sample iterative period), BMA outperforms simple averaging in longer compared to shorter forecast horizons. Moreover, we find further evidence of the latter when the predictive Bayesian model includes shorter, rather than longer lags of the predictive factors. An interesting outcome of this study tends to illustrate the power of BMA in suppressing model uncertainty through model as well as parameter shrinkage, especially when applied to longer predictive horizons.     

Entry to foreign markets and productivity: Evidence from a matched sample of Turkish manufacturing firms

We examine the effects of international trading activities of firms on creating productivity gains in Turkey by using a recent firm-level data set over the period 2003–2010. We establish treatment models and investigate the productivity improvements of firms through trade by using propensity score matching techniques together with difference-in-difference estimates. Three different groups of treatment are constructed: (1) firms that are involved only with import activities, (2) firms that are involved only with export activities and (3) firms that are involved with both export and import activities. The results of the study suggest that both exporting and importing have positive significant effects on total factor productivity (TFP) and labour productivity (LP) of firms. Importing is found to have a greater impact on productivity of firms compared to exporting. Further, two-way trade is found to have more significant effects than those of one-way trade on firm productivity. Finally, our results indicate that international trade has greater impact on LP rather than TFP of firms.