Trade-threshold Effect on Inflation in Tunisia: New Evidence Resulting from a Nonlinear Approach

Trade openness is an important determinant of the inflation process. The effect of trade openness on inflation, however, is still an issue of debate at both theoretical and empirical levels. This study tried to provide a contribution to the literature by examining the relationship between inflation and trade openness in Tunisia over the period 1975Q1-2015Q4 using a nonlinear model. The originality of this study stems from the fact that it is the first investigation considering both the Residual-Based Tests for Cointegration in Models with the Regime Shifts and Threshold Regression model. The linear model confirms the existence of a positive relationship between inflation and trade in Tunisia. Yet, considering the nonlinear model, trade openness growth and Consumer Price Index (CPI) inflation growth show a statistically significant negative link as long as the trade openness evolution does not exceed the threshold. Nevertheless, if the trade openness growth is higher than the threshold, integrating the trade positively affects CPI inflation. Furthermore, a positive influence of Money supply growth on this type of inflation was noticed in Tunisia in all the considered regimes proving the effect of monetary factors on inflation level. Consequently, trade openness could be used to control inflation in Tunisia.     

Excessive Financial Support,Real Estate Development and Macroeconomic Growth: Evidence from China

ABSTRACT

Using monthly panel data for China’s 30 provinces from 2007 to 2017, this article analyzes how level of financial support affects the interplay between real estate development and macroeconomic growth. Based on a threshold model, the results suggest that housing price increases substantially impede economic growth, but there is no significant threshold effect for the sample as a whole. On investigating regional cross-sectional variations, we found that local economic situation clearly impacts on this effect, with significant threshold effects detected in subsamples. While housing price may have positive influences on economic growth in the mid-west subgroup with appropriate financial support, more developed regions returned contrary results.     

The time‐varying performance of UK analyst recommendation revisions: Do market conditions matter?

This study examines the time‐varying performance of investment strategies following analyst recommendation revisions in the UK stock market, with specific emphasis on the impact of changing market conditions. We find a negative relationship between the recommendation performance and market conditions as measured in terms of past market return and market volatility. In particular, the upgrade (downgrade) portfolio generates significantly positive (negative) net abnormal returns in bad market conditions (e.g., the dot‐com bubble burst in 2000 and the credit crisis in 2007), but not in other periods of time. Moreover, our non‐temporal threshold regression analysis shows that the reported negative relationship disappears when market conditions become better, i.e., when the past market return (market volatility) is higher (lower) than a certain level, indicating the importance of taking non‐linearity into account in the long sample period as examined in this study. Our time‐series bootstrap simulations further confirm that the superior recommendation performance in bad market conditions is not due to random chance; analysts have certain skills in making valuable up/downward revisions in bad markets.     

State‐Dependent Forward Guidance and the Problem of Inconsistent Announcements

Forward guidance can be provided as an unconditional promise, i.e. commitment to a specific low policy rate. Alternatively, the promise may include an escape clause, i.e. a condition defining the state of the economy under which the central bank would not keep such a low rate and, instead, it would revert to setting policy under discretion. The escape clause can be expressed as a threshold in terms of a specific variable. The present paper shows that, when such a threshold is expressed in terms of an endogenous variable (e.g. output, inflation), there are cases where it becomes impossible for the central bank to act in a way that is consistent with its promise. Consistency imposes limits on the policy rate that can be set since reverting immediately to the optimal discretionary rate can be incompatible with exceeding the threshold.     

Does computer penetration increase farmers’ income? An empirical study from China

The diffusion and adoption of modern information technology provide new chance for China to close urban-rural income gap. This paper uses China's provincial panel data from 2002 to 2013 to investigate the effect of computer penetration on rural residents' income. A public program aiming to connect every village with broadband Internet and other rural facilities provides plausibly exogenous variation in rural residents' availability and adoption of the broadband Internet, which is used to explore the instrument variable for rural computer penetration. The results show that rural computer penetration tends to increase rural residents' income over time, but the average effect remains limited. The dynamic panel threshold effects model, which allows for both the threshold variable and other covariates to be endogenous, is further used to explore the constraints of the income-increase effect of rural computer penetration. It shows that the effect is at least doubled over the average effect estimated from instrument variables method, once the digital divide causes are removed. Our findings have important implications for the government to increase rural residents' income and reduce urban-rural income gap by encouraging rural computer usage and removing the digital divide.     

数字普惠金融对地方税收影响的实证研究

采用北京大学测度的2011—2018年数字普惠金融指数与地方税收面板数据，研究了数字普惠金融发展与地方税收之间的关系。研究发现，数字普惠金融能够显著地促进地方税收增长，在考虑了内生性等因素后，这一结论仍然稳健地成立。分位数回归表明，数字普惠金融在低分位数上对地方税收影响小且统计显著性弱，在高分位数上数字普惠金融对地方税收的影响大且统计显著性强。数字普惠金融对地方税收的影响存在门槛效应，在不同发展阶段，其对地方税收影响有显著差异。数字普惠金融促进税收增长主要是通过数字普惠金融覆盖广度提高和移动化、便利化等程度加深实现的。     

审计师行业专长对审计重要性水平的影响——基于股权性质的调节作用研究

审计师行业专长意味着在特定领域较强的专业胜任能力,对于防范审计风险和提高审计质量都有显著影响。围绕审计师行业专长影响审计重要性水平这一主题，结合股权性质的调节作用，选取2016—2018年沪深两市A股上市公司作为研究对象，进行实证检验。结果表明，审计师行业专长对重要性水平有正向影响，如果被审计单位是国有控股上市公司，审计师行业专长与重要性水平的正相关关系更显著。这对审计机构人力资源配置、监管部门完善相关制度及监督工作具有参考价值。     

政府补贴促进制造业企业研发投入了吗?——基于资本结构的门槛效应研究

本文以2016~2018年沪深股市的制造业上市公司为研究样本,通过建立门槛效应模型,验证了政府补贴与企业研发投入的作用关系会随着资本结构的变化而变化。研究发现,政府补贴能够促进企业研发投入,并且在资本结构的调节作用下呈现三重门槛效应。进一步研究还发现,政府补贴对非国有企业研发投入的影响系数更高。因此,政府研发补贴政策需要综合考虑企业资金状况、企业性质,建立有效甄别机制,实施差异化补贴策略,加大对非国企补贴力度,拓宽中小企业融资渠道。     

Equity premium prediction and optimal portfolio decision with Bagging

We propose using the statistical method of Bagging to forecast the equity premium out-of-sample for multivariate regression models. Bagging allows for the flexible and efficient extraction of valuable informational content from a large set of predictors, leading to statistically and economically significant gains relative to not only the historical mean, but also other soft-threshold methods such as forecast combinations and shrinkage estimators in our empirical results. Furthermore, we find that the source of economic gains for Bagging primarily comes from the fact that it encourages the investor to actively manage portfolio by flexibly utilizing short selling or leveraging to better time the market following correctly prognosticated trends. However, other strategies such as forecast combinations keep the equity shares nearly fixed regardless of the predicted market prospect.     

Optimum government size and economic growth in case of Indian states: Evidence from panel threshold model

This paper investigates the relationship between optimum government size and economic growth using data of Indian states during 1990-91 to 2017–18. Our results derived from panel threshold regression model show a positive and significant impact of government size on economic growth within the estimated thresholds for both aggregate and sub-panels based on income and regions. Once the government size moves above the upper threshold level, then its impact declines and turns to be insignificant. Thus, our findings suggest the policymakers for maintaining the government size within the thresholds limit.