The impact of technical consultants on the quality of their clients' products: Evidence from the Bordeaux wine industry

Research summary : Recent research rooted in the resource‐based view of the firm suggests that resources are more likely to create value if they are effectively managed. An underlying assumption of the literature is that firms manage their resources on their own. However, many firms hire consultants to help them do so. In this study, I develop and test hypotheses regarding the impact of technical consultants on the quality of their clients' products. Using data from the Bordeaux wine industry, I find evidence that the use of technical consultants has a positive impact on relative product quality and a negative impact on the extremeness of relative product quality. Moreover, the positive impact of technical consultants on relative product quality is stronger at lower levels of relative resource quality. Managerial summary : Findings from a study in the Bordeaux wine industry indicate that the decision to hire consultants should depend on a firm's strategy. If a firm wants to improve its performance, it should hire consultants. Indeed, the “best practices” of technical consultants are generally more valuable than internally generated knowledge. If a firm wants to achieve outstanding performance, hiring consultants may not be the right decision. Because the “best practices” of technical consultants have more certain performance implications than internally generated knowledge, they decrease the likelihood of extremely low performance. However, their lack of uniqueness also decreases the likelihood of extremely high performance. Finally, the decision to hire consultants should depend on the quality of a firm's resources. Firms with low‐quality resources tend to benefit more from the “best practices” of technical consultants. Copyright © 2016 John Wiley & Sons, Ltd.     

Does the labor-income process contain a unit root? Evidence from individual-specific time series

Calibrations of models related to life-cycle behavior of consumption and saving often invoke the important assumption of a unit root in individuals׳ labor-income process. We for the first time test this assumption using methods for univariate time series. Based on longitudinal register data from 1968 to 2005, we first estimate an autoregressive model for each individual using a method for approximately median-unbiased estimation. We then exploit the resulting distribution of the individual-specific estimates to draw inference about the presence of a unit root. Results indicate that earnings for the representative worker are governed by a process where shocks to earnings have moderate persistence and are both economically and statistically significantly different from having permanent effects. These results question the heavy use of unit-root processes for earnings.     

Public sector enterprise disinvestment in India: Efficiency gains in a political context

India instituted a program of state enterprise disinvestment in 1991 as part of a sweeping reform initiative. This study analyses the effect of disinvestment on enterprise performance, conditioned on political context as characterized by the ideological leanings of the parties in power at state and central levels. Using stochastic frontier analysis, measures of firm efficiency are generated for 238 central public sector enterprises for the period 1991–1992 to 2010–2011. The relationship between efficiency so measured and disinvestment is then estimated using a two-stage instrumental variables approach to control for endogeneity between firm efficiency and selection for disinvestment. Initial disinvestment is associated with substantial efficiency gains, but subsequent disinvestment much less so and the proportion of shares disinvested only loosely so. This may be explained by the transformative effect of initial stock market listing on accountability and profit orientation that is not repeated with further rounds of disinvestment. The effect of disinvestment on performance is stronger if the enterprise is located in a state governed by a right leaning party or one that is ideologically aligned with the party in power at the centre.     

The expected real yield and inflation components of the nominal yield curve

The term structure of real yields and expected inflation are two unobserved components of the nominal yield curve. The primary objectives of this study are to decompose nominal yields into their expected real yield and inflation components and to examine their behaviour using state-space and regime-switching frameworks. The dynamic yield-curve models capture three well-known latent factors – level, slope, and curvature – that accurately aggregate the information for the nominal yields and the expected real and inflation components for all maturities. The nominal yield curve is found to increase slightly with a slope of about 120 basis points, while the real yield curve slopes upward by about 20 basis points, and the expected inflation curve is virtually flat at slightly above 2 per cent. The regime-switching estimations reveal that the nominal yield, real yield and expected inflation curves have shifted down significantly since 1999.     

技术创新、金融创新与经济增长——基于中国省际面板数据

本文从实证分析层面对金融创新、技术创新与经济增长之间的作用关系进行探讨。基于我国 2000~2015 年省级面板数据，采用GMM估计方法，利用动态面板模型进行实证检验。结果表明：技术创新对经济增长的影响显著为正，单独的金融创新对经济增长起抑制作用，二者的交互作用则对经济增长起显著性正向作用。脱离实体经济的金融创新将抑制经济增长，也会间接阻碍技术创新对经济增长的影响。本文结合当前经济形势，从金融机构与创新企业相接轨共同提高创新水平、培养创新型人才等角度提出建议。     

Is ex-post credit risk affected by the cycles? The case of Italian banks

The objective of this research is to empirically examine if both credit and business cycle affect the ex-post credit risk (i.e. non-performing loans) in the banking system of Italy for the period 1995Q1–2014Q1. The increase in NPLs post-2008 has put into question the robustness of many European banks and the stability of the whole sector. It still remains a serious challenge, especially in Italy which is one of the countries that hit by the financial crisis. By employing fixed and random effects and a dynamic GMM estimation as econometric methodologies I find results that underline common causes for NPLs. Higher NPLs in Italy are mostly due to worse macroeconomic conditions (i.e. bad phase of business cycle) and due to excess credit. Through a Granger causality test, my arguments found even more support. Such findings can be helpful when designing macro-prudential as well as NPL resolution policies.     

中国玉米芯资源量估算及其开发利用

文章首先采用文献考证法,确定玉米芯产量与玉米产量之比值;在此基础上,采用副产品比重法,结合玉米产量统计数据,对全国及各省(市、自治区)的玉米芯产量进行估算,并分析其区域分布;通过实地调查,结合文献综述,从原料化、饲料化、基料化、能源化的角度,系统阐述我国玉米芯资源综合利用途径。结果表明:玉米芯产量与玉米产量之比为0.21;2013年全国玉米芯资源总产量为4 590万t,相当于全国秸秆总产量的4.90%或玉米秸秆总产量的19.10%。主要分布于东北地区与黄淮海地区,产量分别为1 586.61万t与1 185.41万t,两地区合计占全国玉米芯产量的60.42%。玉米芯是我国各类秸秆资源中高值化利用率较高的种类,其原料化、基料化、饲料化及能源化利用总量达到800万t左右。食用菌基料化、新型能源化利用是提高我国玉米芯综合利用水平的基本途径。多产品联产可有效地促进我国玉米芯工业原料化利用水平的不断提升。积极开展玉米芯发酵饲料技术推广与应用可为我国玉米芯资源高值化利用开辟新途径。     

Some Variants of Constrained Estimation in Finite Population Sampling

This is a review article that unifies several important examples using constrained optimisation techniques. The basic tools are three simple mathematical optimisation results subject to certain constraints. Applications include calibration, benchmarking in small area estimation and imputation. A final illustration is constrained optimisation under a general divergence loss.     

重叠滤波多音系统的频偏性能分析及优化

重叠滤波多音(O-FMT)是针对滤波多音(FMT)系统频谱利用率低的缺点而根据超奈奎斯特(FTN)概念引入子载波重叠得到的方案。鉴于O-FMT系统在频偏环境下的性能缺陷，理论分析了频偏对系统信号各部分的影响，比较了O-FMT与正交频分复用（OFDM）系统的抗频偏性能。针对频偏性能优化问题，提出了基于最佳线性无偏估计（BLUE）的改进盲估计算法，设计了基于频域滤波器系数的内嵌结构进行频偏补偿。仿真实验表明，O-FMT相比OFDM具有更好的抗频偏能力，改进的盲估计算法估计值精度更高，抗干扰、抗衰落能力更强，设计的频偏补偿结构可以使系统获得更好的性能。     

Nonparametric fixed effects model for panel data with locally stationary regressors

We develop methods for inference in nonparametric time-varying fixed effects panel data models that allow for locally stationary regressors and for the time series length $T$ and cross-section size $N$ both being large. We first develop a pooled nonparametric profile least squares dummy variable approach to estimate the nonparametric function, and establish the optimal convergence rate and asymptotic normality of the resultant estimator. We then propose a test statistic to check whether the bivariate nonparametric function is time-varying or the time effect is separable, and derive the asymptotic distribution of the proposed test statistic. We present several simulated examples and two real data analyses to illustrate the finite sample performance of the proposed methods.