中国法语境下的并存债务承担制度

鉴于并存债务承担制度在立法及理论研究上的缺憾,文章对该制度进行系统研究。正确理解并存债务承担制度,必须考虑到我国特定的学术与立法背景。文章分析了并存债务承担制度的内涵与外延,并通过对《合同法》第84条的解释论分析,认为并存债务承担并不包含在“部分移转”之中,我国立法并未承认并存债务承担制度,存在立法漏洞。文章突出债务承担合同的中心地位,并以此为基础讨论并存债务承担中履行障碍的解决机制。      

Best Nonparametric Bounds on Demand Responses

This paper uses revealed preference inequalities to provide the tightest possible (best) nonparametric bounds on predicted consumer responses to price changes using consumer‐level data over a finite set of relative price changes. These responses are allowed to vary nonparametrically across the income distribution. This is achieved by combining the theory of revealed preference with the semiparametric estimation of consumer expansion paths (Engel curves). We label these expansion path based bounds on demand responses as E‐bounds. Deviations from revealed preference restrictions are measured by preference perturbations which are shown to usefully characterize taste change and to provide a stochastic environment within which violations of revealed preference inequalities can be assessed.     

How long is the queuing for public childcare facilities in Korea? An empirical analysis of Korean households' childcare mode choice with the limited availability of public childcare facilities

This paper empirically investigates Korean households' choice of childcare mode using the Korean Childcare Users Survey (2012). A multivariate logit model with partial observability (hereafter, PO‐logit model) is employed to address the issue of Korean households' demand for public childcare facilities exceeding capacity limits. Our estimation result rejects the hypothesis of no queueing at conventional significance levels to advocate use of the PO‐logit model in explaining Korean households' childcare choices. We decompose choice probabilities of public childcare facilities to estimate the size of queuing. Our results imply that 31.8% of parents preferring public childcare facility are forced to choose other childcare modes due to capacity limit.     

Sparse Approximations of Fractional Matérn Fields

We consider fast lattice approximation methods for a solution of a certain stochastic non‐local pseudodifferential operator equation. This equation defines a Matérn class random field. We approximate the pseudodifferential operator with truncated Taylor expansion, spectral domain error functional minimization and rounding approximations. This allows us to construct Gaussian Markov random field approximations. We construct lattice approximations with finite‐difference methods. We show that the solutions can be constructed with overdetermined systems of stochastic matrix equations with sparse matrices, and we solve the system of equations with a sparse Cholesky decomposition. We consider convergence of the truncated Taylor approximation by studying band‐limited Matérn fields. We consider the convergence of the discrete approximations to the continuous limits. Finally, we study numerically the accuracy of different approximation methods with an interpolation problem.     

Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data

Graphical models capture the conditional independence structure among random variables via existence of edges among vertices. One way of inferring a graph is to identify zero partial correlation coefficients, which is an effective way of finding conditional independence under a multivariate Gaussian setting. For more general settings, we propose kernel partial correlation which extends partial correlation with a combination of two kernel methods. First, a nonparametric function estimation is employed to remove effects from other variables, and then the dependence between remaining random components is assessed through a nonparametric association measure. The proposed approach is not only flexible but also robust under high levels of noise owing to the robustness of the nonparametric approaches.     

Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data

The logratio methodology is not applicable when rounded zeros occur in compositional data. There are many methods to deal with rounded zeros. However, some methods are not suitable for analyzing data sets with high dimensionality. Recently, related methods have been developed, but they cannot balance the calculation time and accuracy. For further improvement, we propose a method based on regression imputation with Q-mode clustering. This method forms the groups of parts and builds partial least squares regression with these groups using centered logratio coordinates. We also prove that using centered logratio coordinates or isometric logratio coordinates in the response of partial least squares regression have the equivalent results for the replacement of rounded zeros. Simulation study and real example are conducted to analyze the performance of the proposed method. The results show that the proposed method can reduce the calculation time in higher dimensions and improve the quality of results.     

Optimal Berry–Esseen bound for parameter estimation of SPDE with small noise

We investigate a rate of convergence on asymptotic normality of the maximum likelihood estimator (MLE) for parameter $\theta$ appearing in parabolic SPDEs of the form

$d{u}^{?}(t,x)=(A_0+\theta A_1)u^{?}(t,x)dt+?dW(t,x),$

where $A_0$ and$A_1$ are partial differential operators, $W$ is a cylindrical Brownian motion (CBM) and $?\downarrow 0$. We find an optimal Berry–Esseen bound for central limit theorem (CLT) of the MLE. It is proved by developing techniques based on combining Malliavin calculus and Stein’s method.     

“不是X，而是Y”构式的元语否定功能

“不是X,而是Y”既可以否定语义真值也可以否定非真值,否定非真值时属于元语否定,并且已经固化为一个很成熟的构式,其构式义表示强调义。此构式是在语义否定基础上形成的,它是语言表达主观性的产物;此构式形成以后构式与构件相互压制,使得此构式更加成熟化和抽象化;它是一种言语表达策略,可以突显说话人的主观情态和视角,使语言更具表现力。     

The dynamics of negation: identity formation among Palestinian Arab college students inside the green line

How does granting certificates of ‘business clean of Arab workers’ to owners of shops, stores, and Jewish businesses who prove they are not employing Arab workers shape identity? Identity development involves making sense of, and coming to terms with, the social world one inhabits, recognizing choices and making decisions within contexts, and finding a sense of unity within one's self while claiming a place in the world. Since there is no objective, ahistoric, universal trans-cultural identity, views of identity must be historically and culturally situated. This paper explores identity issues among members of the Palestinian Arab minority in Israel. While there is a body of literature exploring this subject, we will offer a different perspective by contextualizing the political and economic contexts that form an essential foundation for understanding identity formation among this minority group. We argue that, as a genre of settler colonialism, ‘pure settlement colonies’ involve the conquering not only of land, but of labor as well, excluding the natives from the economy. Such an exclusion from the economy is significant for its cultural, social, and ideological consequences, and therefore is especially significant in identity formation discussed in the paper. We briefly review existing approaches to the study of identity among Palestinian Arabs in Israel, and illustrate our theoretical contextual framework. Finally, we present and discuss findings from a new study of identity among Palestinian Arab college students in Israel through the lens of this framework.     

Inference in Nonparametric Instrumental Variables With Partial Identification

This paper develops methods for hypothesis testing in a nonparametric instrumental variables setting within a partial identification framework. We construct and derive the asymptotic distribution of a test statistic for the hypothesis that at least one element of the identified set satisfies a conjectured restriction. The same test statistic can be employed under identification, in which case the hypothesis is whether the true model satisfies the posited property. An almost sure consistent bootstrap procedure is provided for obtaining critical values. Possible applications include testing for semiparametric specifications as well as building confidence regions for certain functionals on the identified set. As an illustration we obtain confidence intervals for the level and slope of Brazilian fuel Engel curves. A Monte Carlo study examines finite sample performance.