Monetary Policy,Trend Inflation,and Unemployment Volatility

The literature has long agreed that the DMP model (after Diamond 1982, Mortensen 1982, Pissarides 1985) with search and matching frictions in the labor market can deliver large volatilities in labor market quantities, consistent with empirical data, only if there is at least some wage stickiness. I show, however, that the model can deliver nontrivial volatilities without wage stickiness, as long as it has price dispersion and nonzero long‐run inflation rates. I find that by keeping inflation at a positive rate, monetary policy may be accountable for the large standard deviations observed on labor market variables. In addition, the Shimer (2005) puzzle disappears under monetary policy shocks.     

Optimal Dynamic Capital Requirements

We characterize welfare maximizing capital requirement policies in a quantitative macrobanking model with household, firm, and bank defaults calibrated to Euro Area data. We optimize on the level of the capital requirements applied to each loan class and their sensitivity to changes in default risk. We find that getting the level right (so that bank failure risk remains contained) is of foremost importance, while the optimal sensitivity to default risk is positive but typically smaller than under Basel internal ratings based (IRB) formulas. Starting from low levels, savers and borrowers benefit from higher capital requirements. At higher levels, only savers prefer tighter requirements.     

Financial Stress Regimes and the Macroeconomy

Some financial stress events lead to macroeconomic downturns, while others appear to be isolated to financial markets. We identify financial stress regimes using a model that explicitly links financial variables to macro‐economic outcomes. The stress regimes are identified using an unbalanced panel of financial variables with an embedded method for variable selection. Our identified stress regimes are associated with corporate credit tightening and with NBER recessions. An exogenous deterioration in our financial conditions index has strong negative effects in economic activity, and negative amplification effects on inflation in the stress regime. These results are obtained with a novel factor‐augmented vector autoregressive model with smooth‐transition regimes (FASTVAR).     

Corporate Governance,Social Responsibility,and Data Breaches

We study whether corporate governance and social responsibility are related to data breaches. We find that socially responsible companies with smaller boards and greater financial expertise are less likely to be breached. The financial impact of a breach is visible in the long term. Specifically, data‐breach firms have –3.5% one‐year buy‐and‐hold abnormal returns. Additionally, banks with breaches have significant declines in deposits and nonbanks have significant declines in sales in the long run. Finally, we find that following a data breach, companies are more likely to replace their chief executive officer and chief technology officer as well as improve their governance and social responsibility.     

Measurement of Quality of Life and Well‐Being in France: The Drivers of Subjective Well‐Being

Ever since the publication of the Stiglitz Report, France has been heavily involved in the measurement of well‐being. The French Statistical Institute (INSEE) has expanded the scope of its existing surveys. It has also launched an innovative experimental survey which, drawing upon a single statistical source, aims for the first time to explore the different dimensions of both objective and subjective quality of life, as highlighted in the Stiglitz Report. It allows us to study, at the individual level, correlations between these dimensions and the accumulation of deprivations. It has enabled us to better understand the links between determinants generally referred to as objective dimensions of quality of life (such as health or education) and subjective well‐being. This information is of paramount importance for policy makers who cannot act directly on the level of people's satisfaction but can only act upon the levers of objective dimensions. This paper presents the main findings of the experimental survey.     

Bailout uncertainty in a microfounded general equilibrium model of the financial system

This paper develops a micro-founded general equilibrium model of the financial system composed of ultimate borrowers, ultimate lenders and financial intermediaries. The model is used to investigate the impact of uncertainty about the likelihood of governmental bailouts on leverage, interest rates, the volume of defaults and the real economy. The distinction between risk and uncertainty is implemented by applying the multiple priors framework to beliefs about the probability of bailout.Results of the analysis include: (i) An unanticipated increase in bailout uncertainty raises interest rates, the volume of defaults in both the real and financial sectors and may lead to a total drying up of credit markets. (ii) Lower exante bailout uncertainty is conducive to higher leverage, which in turn raises moral hazard and makes the economy more vulnerable to expost increases in bailout uncertainty. (iii) Bailout uncertainty affects the likelihood of bubbles, the amplitude of booms and busts as well as the banking and the credit spreads. (iv) Higher bailout uncertainty is associated with higher returns’ variability in diversified portfolios and higher systemic risks, (v) Pre-crisis expansionary monetary policy reinforces those effects by inducing higher aggregate leverage levels. (vi) The larger the change in bailout uncertainty and the change in aversion to this uncertainty, the stronger the pre-crisis buildup and the deeper the ensuing crisis.A central policy implication of the analysis is that the vaguest is bailout policy prior to a crisis, the lower is the magnitude of investments destroyed or missed due to errors in evaluating bailout and other intervention policies. On the other hand, the clearer is bailout policy upon the eruption of a crisis, the smaller the contraction of credit and the destruction of investment activity.     

服装三维与试衣软件系统的研究

本论文通过对几款服装三维试衣软件和在线试衣软件进行试用,同时对软件的基本功能进行对比研究,结合一些使用客户的评价,从客户的角度提出软件在功能方面存在的问题以及改进意见。     

环介导等温扩增技术对锦鲤疱疹病毒的快速检测

为建立一种快速检测锦鲤疱疹病毒(CyHV-3)的环介导等温扩增方法(LAMP),本研究根据GenBank中登录的CyHV-3 TK基因编码区序列设计了LAMP特异性引物,通过优化反应条件,建立了检测CyHV-3的LAMP方法。表明本实验建立的该检测方法具有高灵敏度、高特异性、快速和简便的特性,适用于临床上对锦鲤疱疹病毒3的快速诊断。     

Designing and evaluating sustainable development pathways for semi‐subsistence crop–livestock systems: lessons from Kenya

Achieving the Sustainable Development Goals (SDGs) in African agriculture requires a better understanding why high levels of poverty and resource degradation persist in African agriculture despite decades of policy interventions and development projects. In this article, we hypothesize that policies need to account for the key features of the semi‐subsistence crop–livestock systems (CLS) in the region to become effective. The semi‐subsistence CLS are characterized by a high degree of biophysical and economic heterogeneity and a complex, diversified production system involving a combination of subsistence and cash crops with livestock. We investigated the potential for interventions proposed by the Government of Kenya to meet the SDGs by 2030. The analysis uses an integrated modeling approach designed to deal with the key features of these systems. A strategy that stimulates rural development, increases farm size to a sustainable level, and reduces distortions and inefficiencies in input and output markets could lead to a sustainable development pathway and achieve the SDGs for rural households dependent on CLS.     

3s技术在基本农田调查清理中的应用——以重庆市巫山县为例

划定永久基本农田是实现耕地保护目标的重要手段,为做好永久基本农田调整完善工作需要对基本农田现状进行调查清理,以重庆市巫山县为例,提供基于3S技术支撑的技术方法和工作思路。结果表明,以3S技术手段进行基本农田现状调查清理,能快速、准确查清基本农田现状数据中不符合基本农田划定要求的地类,能满足基本农田动态监测的需要,将更好地在基本农田划定与保护中得以应用。