A Panel Data Approach for Income-Health Causality

Erdil, Erkan
Research Unit, Sustainability and Global Change, Hamburg University


A Causal mapping approach for the analysis of construction disputes
Tanrıverdi, Cenk; Dikmen Toker, İrem; Department of Civil Engineering (2019)
Containing various work disciplines, numerous stakeholders, and relatively extensive procedures due to its nature, disputes are frequently encountered in construction projects. The fact that disputes can have devastating effects on success of projects in terms of both time and cost to both parties involved when not dealt with care, makes a clear understanding of how and why disputes occur in construction projects an important research topic. Previous studies on this subject has mostly yielded only exhaustiv...
A Probabilistic Approach for Indirect Elicitation of the Preferences of a Decision Maker
Yet, Barbaros (2018-05-28)
Eliciting the preferences of a Decision Maker (DM) is a challenging task in multi criteria-decision making problems. DM preferences can be represented in the form of weights for criteria. Direct elicitation methods can be cognitively difficult for the DM especially when a large number of weights with close values are available. Indirect methods are beneficial in this regard as they use decision alternatives rather than weights for elicitation. However, the accuracy of these approaches can vary depending on ...
A self-organizing neural network approach for the single AGV routing problem
Soylu, M; Özdemirel, Nur Evin; Kayaligil, S (2000-02-15)
In this research, a special form of Automated Guided Vehicle (AGV) routing problem is investigated. The objective is to find the shortest tour for a single, free-ranging AGV that has to carry out multiple pick and deliver (P&D) requests. This problem is an incidence of the asymmetric traveling salesman problem which is known to be NP-complete. An artificial neural network algorithm based on Kohonen's self-organizing feature maps is developed to solve the problem, and several improvements on the basic featur...
A computation-implementation parallelization approach to the vehicle loading and routing problem
Çavdar, Bahar; Sokol, Joel (Wiley, 2019-01-01)
In this article, we address a version of the capacitated vehicle routing problem where there is a constraint on the total time that can be spent on computing delivery routes and loading the vehicles. This problem, which we call the vehicle loading and routing problem (VLRP), can arise, for example, in the delivery of small, quick-turnaround orders from a warehouse. We propose a computation-implementation parallelization (CIP) approach to solving large VLRP instances, and present computational results showin...
A Semantic Transformation Methodology for the Secondary Use of Observational Healthcare Data in Postmarketing Safety Studies
Pacaci, Anil; Gonul, Suat; Sinaci, A. Anil; Yuksel, Mustafa; Laleci Erturkmen, Gokce B. (Frontiers Media SA, 2018-4-30)
Background: Utilization of the available observational healthcare datasets is key to complement and strengthen the postmarketing safety studies. Use of common data models (CDM) is the predominant approach in order to enable large scale systematic analyses on disparate data models and vocabularies. Current CDM transformation practices depend on proprietarily developed Extract-Transform-Load (ETL) procedures, which require knowledge both on the semantics and technical characteristics of the source datasets an...
Citation Formats
E. Erdil and İ. H. YETKİNER, “A Panel Data Approach for Income-Health Causality,” Research Unit, Sustainability and Global Change, Hamburg University, pp. 0–0, 2004, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100707.