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On the initialization of adaptive learning in macroeconomic models

Berardi, Michele; Galimberti, Jaqueson K. - 2016

We review and evaluate methods previously adopted in the applied literature of adaptive learning in order to initialize agents' beliefs. Previous methods are classified into three broad classes: equilibrium-related, training sample-based, and estimation-based. We conduct several simulations...

Persistent link: https://www.econbiz.de/10011582421

Optimal Control of Nonlinear Dynamic Econometric Models: An Algorithm and an Application

Blüschke-Nikolaeva, Viktoria; Blüschke, Dmitri; Neck, … - 2010

In this paper, we present a new version of the OPTCON algorithm for the optimal control of nonlinear stochastic systems with special reference to econometric models. It delivers approximate numerical solutions of optimum control problems with a quadratic objective function for nonlinear...

Persistent link: https://www.econbiz.de/10010270207

Robust Estimators are Hard to Compute

Bernholt, Thorsten - 2006

In modern statistics, the robust estimation of parameters of a regression hyperplane is a central problem. Robustness means that the estimation is not or only slightly affected by outliers in the data. In this paper, it is shown that the following robust estimators are hard to compute: LMS, LQS,...

Persistent link: https://www.econbiz.de/10010296716

A note on estimating censored quantile regressions

Fitzenberger, Bernd - 1994

This note is concerned with estimating censored quantile regressions (CQR). As its major contribution, a' new algorithm, called BRCENS, is developed as an adaption of the Barrodale-Roberts algorithm for the standard quantile regression problem. In a subsequent simulation study, BRCENS performs...

Persistent link: https://www.econbiz.de/10010332101

Cuckoo search via Levy flights applied to uncapacitated facility location problem

Mesa, Armacheska; Castromayor, Kris; … - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 585-592

swarm optimization and other existing algorithms. Although these results showed that CS-LF is a promising method to solve …

Persistent link: https://www.econbiz.de/10011995856

Analyzing continuance intention of recommendation algorithms

Kim, Jiwhan; Nam, Changi - 2019

As recommendation algorithms have been increasingly applied to content personalization services, scholars are voicing … concern about the negative impacts of these algorithms, for instance filter bubbles and ideological polarization. This … research attempts to analyze the various factors influencing users' continuance intention of recommendation algorithms through …

Persistent link: https://www.econbiz.de/10012113508

Socio-Technical Design of Algorithms: Fairness, Accountability, and Transparency

Shin, Don D.H. - 2019

Algorithms play increasingly critical roles these days. With the conceptualization of algorithms as a socio … such as privacy, transparency, and fairness emerge as critical concerns of the social ramifications of algorithms and their … impact on the new information milieu. With these rising issues, the questions are raised as to how to govern algorithms and …

Persistent link: https://www.econbiz.de/10012113530

Stochastic Dominance Efficiency Analysis of Diversified Portfolios: Classification, Comparison and Refinements

Lizyayev, Andrey - 2010

For more than three decades, empirical analysis of stochastic dominance was restricted to settings with mutually exclusive choice alternatives. In recent years, a number of methods for testing efficiency of diversified portfolios have emerged, which can be classified into three main categories:...

Persistent link: https://www.econbiz.de/10010325987

Verleihung des Gerhard-Fürst-Preises 2020

Krämer, Walter - In: WISTA – Wirtschaft und Statistik 72 (2020) 6, pp. 19-22

Mit dem Gerhard-Fürst-Preis des Statistischen Bundesamtes werden Arbeiten in den Kategorien Dissertationen und Master- beziehungsweise Bachelorarbeiten ausgezeichnet, die theoretische Themen mit einem engen Bezug zum Aufgabenspektrum der amtlichen Statistik behandeln oder empirische...

Persistent link: https://www.econbiz.de/10012392750

Brave New Digital Work? New Forms of Performance Control in Crowdwork

Gerber, Christine; Krzywdzinski, Martin - In: Work and Labor in the Digital Age, (pp. 121-143). 2019

The term “crowdwork” describes a new form of digital work that is organized and regulated by internet-based platforms. This chapter examines how crowdwork platforms ensure their virtual workforce’s commitment and control its performance despite its high mobility, anonymity, and dispersion....

Persistent link: https://www.econbiz.de/10012427928