Existence Results for a Perturbed Problem Involving Fractional Laplacians by Yan Hu

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Some Classes of Continuous Operators on Spaces of Bounded Vector-Valued Continuous Functions with the Strict Topology by Marian Nowak

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A Double Inequality for the Trigamma Function and Its Applications by Zhen-Hang Yang, Yu-Ming Chu, Xiao-Jing Tao

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Pattern Formation in Predator-Prey Model with Delay and Cross Diffusion by Xinze Lian, Shuling Yan, Hailing Wang

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The Boundedness of Some Integral Operators on Weighted Hardy Spaces Associated with Schrödinger Operators by Hua Wang

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Spillover effects of public capital stock: A case study for Ecuador by Roberto Zurita, Víctor Morales-Oñate

“…The investigation is conducted within the framework of Spatial Econometrics, utilizing various model specifications and spatial weight matrices, complemented by a Cobb Douglas-type model that incorporates spatial dependence. …”
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Improved Filter-SQP Algorithm with Active Set for Constrained Minimax Problems by Zhijun Luo, Lirong Wang

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Optimization of the Actuarial Model of Defined Contribution Pension Plan by Yan Li, Yuchen Huang, Yancong Zhou

“…In order to get an assessment of current status, the paper finds a relationship between the replacement ratio and the pension investment rate using econometrics method. Based on an appropriate investment rate of 6%, an expected replacement ratio of 20% is reached.…”
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An Analysis of Risk-Taking in Family Firms Listed in B3 by Gabriel Voelcker, Clea Beatriz Macagnan, Daniel Vancin

“…This hypothesis is tested empirically using econometrics procedures in a sample with 1188 observations from publicly traded companies listed on B3. …”
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Operators on Spaces of Bounded Vector-Valued Continuous Functions with Strict Topologies by Marian Nowak

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The Failure of Orthogonality under Nonstationarity: Should We Care About It? by Jose A. Campillo-García, Daniel Ventosa-Santaulària

“…We consider two well-known facts in econometrics: (i) the failure of the orthogonality assumption (i.e., no independence between the regressors and the error term), which implies biased and inconsistent Least Squares (LS) estimates and (ii) the consequences of using nonstationary variables, acknowledged since the seventies; LS might yield spurious estimates when the variables do have a trend component, whether stochastic or deterministic. …”
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Influence of Industrialisation on Economic Growth: A Case Study of Mbarara City. by Agaba, Gordon

“…This research examined the impact of industrialization on economic growth and the effects of exchange rates and interest rates on economic growth using several econometrics methods: Pairwise Granger causality tests; The lagged error mechanism ECM; Serial correlation; Johansen co-integration. …”
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The global Multidimensional Poverty Index: Harmonised level estimates and their changes over time by Nicolai Suppa, Usha Kanagaratnam

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Applications of Google Trends as a Data Source for Statistical Models by Klaudia Lenart

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Modeling Public Opinion Over Time and Space: Trust in State Institutions in Europe, 1989-2019 by Marta Kołczyńska, Paul-Christian Bürkner, Lauren Kennedy, Aki Vehtari

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Higher-Order Expansions for Estimators in the Presence of Nuisance Parameters by Paul Rilstone

“…We illustrate using several popular examples in econometrics. We also provide a numerical example which highlights how a simple analytical bias correction can improve inferences.…”
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Adaptive Synchronization for Two Different Stochastic Chaotic Systems with Unknown Parameters via a Sliding Mode Controller by Zengyun Wang, Lihong Huang, Xuxin Yang, Dingyang Lu

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The Long-Term Effects of Reforming Social Security to Relieve Low-Income Households by Tom Krebs, Martin Scheffel, Manuela Barišić, Valentina Sara Consiglio

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Inferring causal connectivity from pairwise recordings and optogenetics. by Mikkel Elle Lepperød, Tristan Stöber, Torkel Hafting, Marianne Fyhn, Konrad Paul Kording

“…We explain how confounding can be reduced by combining instrumental variables (IV) and difference in differences (DiD) techniques from econometrics. Combined, these methods can estimate (causal) effective connectivity by exploiting the weak, approximately random signal resulting from the interaction between stimulation and the absolute refractory period of the neuron. …”
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