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Adaptive post-processing of short-term wind forecasts for energy applications

Sweeney, Conor; Lynch, Peter - 2010

We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...

Persistent link: https://www.econbiz.de/10009475712

Prediction of Gas Concentration based on the Opposite Degree Algorithm

Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016

In order to study the dynamic changes in gas concentration, to reduce gas hazards, and to protect and improve mining safety, a new method is proposed to predict gas concentration. The method is based on the opposite degree algorithm. Priori and posteriori values, opposite degree computation,...

Persistent link: https://www.econbiz.de/10011526104

Prediction of gas concentration based on the opposite degree algorithm

Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016

Persistent link: https://www.econbiz.de/10011456718

Some Identification Issues in Nonparametric Linear Models with Endogenous Regressors

Severini, Thomas A.; Tripathi, Gautam - 2005

, such as a regression function, and treating it as a conditional expectation is central to its identification and estimation … identification related properties of this model when the unknown function mu* belongs to a linear space. We also investigate … underidentification of mu* along with the identification of its linear functionals. Several examples are provided in order to develop …

Persistent link: https://www.econbiz.de/10009430113

Stage-based identification of policy effects

Alemán, Christian; Busch, Christopher; Ludwig, Alexander; … - 2023

We develop a method that identifies the effects of nationwide policy, i.e., policy implemented across all regions at the same time. The core idea is to track outcome paths in terms of stages rather than time, where a stage of a regional outcome at time t is its location on the support of a...

Persistent link: https://www.econbiz.de/10015190837

Treatment effects with targeting instruments

Lee, Sokbae; Salanié, Bernard - 2024

Multivalued treatments are commonplace in applications. We explore the use of discrete-valued instruments to control for selection bias in this setting. Our discussion revolves around the concept of targeting: which instruments target which treatments. It allows us to establish conditions under...

Persistent link: https://www.econbiz.de/10015193977

Identification of treatment effects under limited exogenous variation

Newey, Whitney K.; Stouli, Sami - 2025

control variables to correct for endogeneity, nonparametric identification of treatment effects requires strong support … conditions for identification of average treatment effects. A sufficient condition for identification is conditional …- and non-parametric identification into a common framework. …

Persistent link: https://www.econbiz.de/10015193989

Do politicians affect firm outcomes? Evidence from connections to the German Federal Parliament

Diegmann, André; Pohlan, Laura; Weber, Andrea - 2025

We study how connections to German federal parliamentarians affect firm dynamics by constructing a novel dataset linking politicians and election candidates to the universe of firms. To identify the causal effect of access to political power, we exploit (i) new appointments to the company...

Persistent link: https://www.econbiz.de/10015196802

Analysis of Twins

Bhalotra, Sonia R.; Clarke, Damian - 2022

for identification of causal effects in economics, this chapter provides a critical review of methods and results. …

Persistent link: https://www.econbiz.de/10013426458

Sample selection models without exclusion restrictions: Parameter heterogeneity and partial identification

Honoré, Bo E.; Hu, Luojia - 2022

This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...

Persistent link: https://www.econbiz.de/10013479459