Results 61 to 70 of about 6,488 (205)

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

Penalty Strategies in Semiparametric Regression Models

Mathematical and Computational Applications
This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric ...
Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz   +3 more
doaj   +1 more source

About tests of the “simplifying” assumption for conditional copulas

Dependence Modeling, 2017
We discuss the so-called “simplifying assumption” of conditional copulas in a general framework. We introduce several tests of the latter assumption for non- and semiparametric copula models.
Derumigny Alexis, Fermanian Jean-David
doaj   +1 more source

Semiparametric prediction models for variables related with energy production

Journal of Mathematics in Industry, 2018
In this paper a review of semiparametric models developed throughout the years thanks to an extensive collaboration between the Department of Statistics and Operations Research of the University of Santiago de Compostela and a power station located in As
Wenceslao González-Manteiga, Manuel Febrero-Bande, María Piñeiro-Lamas   +2 more
doaj   +1 more source

spBayesSurv: Fitting Bayesian Spatial Survival Models Using R

Journal of Statistical Software, 2020
Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival.
Haiming Zhou, Timothy Hanson, Jiajia Zhang   +2 more
doaj   +1 more source

The Political U: New Evidence on the Economic Costs of Hybrid Regimes

Economics &Politics, EarlyView.
ABSTRACT Recent research establishes a positive causal effect from democracy to income, although this evidence relies mostly on binary regime classifications. We extend the identification framework of Acemoglu et al. (2019) to a classification that distinguishes democracies, autocracies, and hybrid regimes for about 170 countries over 1960–2024.
Nauro F. Campos, Fabrizio Coricelli, Marco Frigerio   +2 more
wiley   +1 more source

Demand Shocks, Export Diversification, and Firm Performance During the Great Trade Collapse

Journal of Economics &Management Strategy, EarlyView.
ABSTRACT This paper analyzes the impact of external demand shocks from the 2008 to 2009 Great Trade Collapse on the performance of Chinese exporters and examines how export diversification mitigates these effects. Using Chinese Customs data merged with financial data from all listed Chinese firms, we construct firm‐specific demand shocks based on pre ...
Qianlin Hong, Zeyang Jin, Runjuan Liu, Jiadong Tong   +3 more
wiley   +1 more source

Bayesian quantile semiparametric mixed-effects double regression models

Statistical Theory and Related Fields, 2021
Semiparametric mixed-effects double regression models have been used for analysis of longitudinal data in a variety of applications, as they allow researchers to jointly model the mean and variance of the mixed-effects as a function of predictors ...
Duo Zhang, Liucang Wu, Keying Ye, Min Wang   +3 more
doaj   +1 more source

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source