Search Results - subject:"Trade Models"

Neuer europäischer Mechanismus für CO2-Grenzausgleich

Sogalla, Robin - In: DIW-Wochenbericht : Wirtschaft, Politik, Wissenschaft 90 (2023) 22, pp. 262-268

Die Europäische Union (EU) hat das Ziel, bis zum Jahr 2050 klimaneutral zu werden. Um dies zu erreichen, hat die EU-Kommission mit dem Fit-for-55-Paket verschiedene Maßnahmen vorgelegt, die die Treibhausgasemissionen bis 2030 im Vergleich zu 1990 um 55 Prozent senken sollen.info Zentraler...

Persistent link: https://www.econbiz.de/10014318294

Do municipal mergers internalise spatial spillover effects? : empirical evidence from Japanese municipalities

Saito, Hitoshi; Hirota, Haruaki; Yunoue, Hideo; Miyaki, Miki - In: The annals of regional science : an international … 70 (2023) 2, pp. 379-406

Persistent link: https://www.econbiz.de/10014253529

Machine Learning, Neural Networks and Econometric Models for Prediction the Realized Volatility of Bitcoin and E-Mini S&P500

Manevich, Vyacheslav; Ignatov, Dmitry - 2023

The article compares ARMA, boosting, neural network models, GARCH and HAR models, and proposes a new efficient method for forecasting one day ahead of the realized volatility of financial series. The GARCH and HAR models are taken as comparable models, which showed the best results in Manevich...

Persistent link: https://www.econbiz.de/10014258073

Fitting Negatively Valued Functions in Econometric Modeling. A Simple Solution

Gkillas, Konstantinos; Kountzakis, Christos - 2023

We suggest a simple yet novel solution for fitting negatively valued functions in economic modeling and treating the econometric issues of estimation arising. To this end, we suggest representing complex arguments by simpler, more intuitive arguments in polar coordinates which, in turn, allow us...

Persistent link: https://www.econbiz.de/10014258209

The impact of China's One-Belt One-Road initiative on international trade and global value chains

Lu, Yuxin; Wolszczak-Derlacz, Joanna - In: Asia-Pacific journal of accounting & economics : … 32 (2025) 1, pp. 163-180

Persistent link: https://www.econbiz.de/10015332227

Aggregate Properties of Open Economy Models with Expanding Varieties

Bhattarai, Saroj; Kucheryavyy, Konstantin - 2022

externalities and dynamic trade models that feature monopolistic competition, endogenous entry, and heterogeneous firms. The … that the model is isomorphic to dynamic trade models that embody love-of-variety and selection effects. In a quantitative … exercise with multiple shocks, we show that to improve the fit of the dynamic trade models with the data, the most important …

Persistent link: https://www.econbiz.de/10013353482

The Econometrics of Antidotal Variables

Das, Tirthatanmoy; Polachek, Solomon W. - 2022

Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...

Persistent link: https://www.econbiz.de/10014076718

Ethanol Plant Investment and Government Policy : A Dynamic Structural Econometric Model

Thome, Karen E.; Lin Lawell, C.-Y. Cynthia - 2022

Ethanol has attracted considerable policy attention both for its use as a gasoline substitute, and as a way to enhance profits in rural areas. In this paper, we analyze the effects of government policy on the decisions of ethanol-producing firms to invest in building new ethanol plants in the...

Persistent link: https://www.econbiz.de/10014077528

Causality and econometrics

Heckman, James J.; Pinto, Rodrigo - 2022

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Persistent link: https://www.econbiz.de/10012886838

Unstructured Data, Econometric Models, and Estimation Bias

Wei, Yanhao 'Max'; Malik, Nikhil - 2022

This article examines the powerful combination of machine learning and econometric models to examine unstructured data. Researchers estimate an econometric model (e.g., logit regression, structural model) that relates an outcome of interest (e.g., sales) to a focal feature in unstructured data...

Persistent link: https://www.econbiz.de/10014030851