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Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas. In many applications, forecast errors exhibit heavy-tailed behaviors for various reasons. Unfortunately, to our...
Persistent link: https://www.econbiz.de/10011411497
Consider a public project which produces a consumption good and which benefits future generations. Let a conventional cost-benefit analysis find that it gives higher benefits than projects it would dis-place in the private sector. Voters may nevertheless oppose the public project: the...
Persistent link: https://www.econbiz.de/10011400766
This is a substantially revised, refocused, and updated version of an earlier draft paper, exploring the significant role Cost-Benefit Analysis (CBA) plays in facilitating or impeding legislative and regulatory policy decisions. The paper centers around three case studies of CBAs EPA prepared...
Persistent link: https://www.econbiz.de/10013113617
We investigate the motives of pro-social behavior in collective decisions in an economic experiment. It compares … endowment and have to decide how much of it to donate to charity. The experiment is combined with two long questionnaires that … the control variables are found significant. Comparing subjects' affective state before and after the experiment, we find …
Persistent link: https://www.econbiz.de/10009722766
Consider a public project which produces a consumption good and which benefits future generations. Let a conventional cost-benefit analysis find that it gives higher benefits than projects it would displace in the private sector. Voters may nevertheless oppose the public project: the combination...
Persistent link: https://www.econbiz.de/10013320770
Persistent link: https://www.econbiz.de/10013223934
In this paper we describe and apply the methods of Symbolic Time Series Analysis to an experimental framework. We discuss data symbolization as a tool for identifying temporal patterns in experimental data and use symbol sequence statistics in a model strategy. In particular, we introduce a...
Persistent link: https://www.econbiz.de/10012757098
The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, robust Bayesian dynamic models (RBDMs) do not assume a regular pattern or stability of the underlying system but can include points of statement breaks. In...
Persistent link: https://www.econbiz.de/10011885537
The endo-exo problem lies at the heart of statistical identi fication in many fields of science, and is often plagued by spurious strong-and-long memory due to improper treatment of trends, shocks and shifts in the data. A class of models that has shown to be useful in discerning exogenous and...
Persistent link: https://www.econbiz.de/10011900335
In this paper I describe and apply the methods of Symbolic Time Series Analysis (STSA) to an experimental framework. The idea behind Symbolic Time Series Analysis is simple: the values of a given time series data are transformed into a finite set of symbols obtaining a finite string. Then, we...
Persistent link: https://www.econbiz.de/10014138108