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The latest content from StatisticsViews.http://www.statisticsviews.comAverage treatment effects for stayers with correlated random coefficient models of panel data
http://www.statisticsviews.com/details/journalArticle/11252974/Average-treatment-effects-for-stayers-with-correlated-random-coefficient-models-.html
Summary Correlated random coefficient (CRC) models provide a useful framework for estimating average treatment effects (ATE) with panel data by accommodating heterogeneous treatment effects and flexible patterns of selection. In their simplest form, they lead to the well‐known difference‐in‐differences estimator. CRC models yield estimates of ATE for “movers” (i.e., cross‐sectional units whose treatment status changed over time) while ATE for “stayers” (i.e., cross‐sectional units who retained...]]>2020-07-14T06:50:39ZPredicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations
http://www.statisticsviews.com/details/journalArticle/11252975/Predicting-interest-rates-using-shrinkage-methods-realtime-diffusion-indexes-and.html
Summary In the context of predicting the term structure of interest rates, we explore the marginal predictive content of real‐time macroeconomic diffusion indexes extracted from a “data rich” real‐time data set, when used in dynamic Nelson–Siegel (NS) models of the variety discussed in Svensson (NBER technical report, 1994; NSS) and Diebold and Li (Journal of Econometrics, 2006, 130, 337–364; DNS). Our diffusion indexes are constructed using principal component analysis with both targeted and...]]>2020-07-14T06:30:12ZTheory of Systemic Risks: Insights from Physics and Chemistry
http://www.statisticsviews.com/details/journalArticle/11252937/Theory-of-Systemic-Risks-Insights-from-Physics-and-Chemistry.html
Abstract Systemic risks, as opposed to conventional risks, bear the danger of destroying entire systems. Their understanding and governance remain a serious challenge. The phenomena of systemic risks show many analogies with those of dynamic structure generation in the systems of nature, technology, and society, including simple model systems of physics and chemistry. By analyzing these model systems, the elementary processes and the generic mechanisms by which they generate macroscopic...]]>2020-07-14T03:49:56ZShort, Heavy and Underrated? Teacher Assessment Biases by Children's Body Size*
http://www.statisticsviews.com/details/journalArticle/11252919/Short-Heavy-and-Underrated-Teacher-Assessment-Biases-by-Childrens-Body-Size.html
Abstract We compare non‐blind teacher assessments with blind national test scores in maths to examine teacher‐test score disparities by children's height and weight. Relative to test scores, shorter and heavier children are rated less favourably by teachers. This teacher‐test score discrepancy cannot be explained by the child's behaviours, motivation to learn or cognitive ability. Unobserved student fixed effects across subjects explain the teacher‐test score discrepancy by height, but not...]]>2020-07-13T14:53:59ZFractional Cauchy problem with memory effects
http://www.statisticsviews.com/details/journalArticle/11252922/Fractional-Cauchy-problem-with-memory-effects.html
Abstract We give an original representation integral formula for the resolvent families associated to the fractional Cauchy equation with memory effects CDtαu(t)−Au(t)+∫0tβ(t−s)Au(s)ds=f(t,u(t)),t∈[0,T],T 0,where u(0)=u0∈X and A is a sectorial operator on a Banach space X. Moreover, we get spatial bounds for the resolvent families in order to study global or blow up mild solutions when the nonlinearity f satisfies a locally Lipschitz condition. The case of critical nonlinearities is...]]>2020-07-13T13:21:38ZTriangular representations of functions of operators with Schatten–von Neumann Hermitian components
http://www.statisticsviews.com/details/journalArticle/11252923/Triangular-representations-of-functions-of-operators-with-Schattenvon-Neumann-He.html
Abstract Let H be a separable Hilbert space with the unit operator I, let A be a bounded linear operator in H with a Schatten–von Neumann Hermitian component (A−A∗)/2i (A∗ means the operator adjoint to A) and let f(z) be a function analytic on the spectra of A and A∗. For f(A) we obtain the representation in the form of the sum of a normal operator and a quasi‐nilpotent Schatten–von Neumann operator Vf, and estimate the norm of Vf. That estimate gives us an inequality for the norm of the...]]>2020-07-13T09:55:32ZA distributional synthetic control method for policy evaluation
http://www.statisticsviews.com/details/journalArticle/11252785/A-distributional-synthetic-control-method-for-policy-evaluation.html
Summary We extend the synthetic control method to evaluate the distributional effects of policy intervention in the possible presence of poor matching. The counterfactuals (or intervention effects) are identified by matching a vector of pre‐intervention quantile residuals of the treated unit and a convex combination of its potential‐control counterparts. The residuals are orthogonal to a set of observable common factors that control for the potentially poor matching. We also apply our method...]]>2020-07-13T05:56:40ZPre‐Hurricane Consumer Stockpiling and Post‐Hurricane Product Availability: Empirical Evidence from Natural Experiments
http://www.statisticsviews.com/details/journalArticle/11252784/PreHurricane-Consumer-Stockpiling-and-PostHurricane-Product-Availability-Empiric.html
The provision of essential supplies is a key service provided by retailers when demand spikes due to consumer stockpiling during environmental emergencies. Moreover, it is important for retailers to quickly recover from these events by replenishing the stock of essential supplies to meet the continuing needs of local residents. The main purpose of this research is to study consumer precautionary stockpiling behavior prior to the onset of hurricane landfalls and determine the impact of this...]]>2020-07-13T03:50:10ZVariable selection for first‐order Poisson integer‐valued autoregressive model with covariables
http://www.statisticsviews.com/details/journalArticle/11252772/Variable-selection-for-firstorder-Poisson-integervalued-autoregressive-model-wit.html
This paper propose a penalised estimation method which can solve the modeling problem regarding the PINAR(1) model with covariables.]]>2020-07-13T02:09:59ZEfficient Bayesian PARCOR approaches for dynamic modeling of multivariate time series
http://www.statisticsviews.com/details/journalArticle/11252781/Efficient-Bayesian-PARCOR-approaches-for-dynamic-modeling-of-multivariate-time-s.html
A Bayesian lattice filtering and smoothing approach is proposed for fast and accurate modeling and inference in multivariate non‐stationary time series. This approach offers computational feasibility and interpretable time‐frequency analysis in the multivariate context. The proposed framework allows us to obtain posterior estimates of the time‐varying spectral densities of individual time series components, as well as posterior measurements of the time‐frequency relationships across multiple...]]>2020-07-12T07:00:00Z