A5045756703- Economic and Environmental Valuation
- Energy, Environment, and Transportation Policies
- Supply Chain and Inventory Management
- Transportation Planning and Optimization
- Aviation Industry Analysis and Trends
- Consumer Market Behavior and Pricing
- Geographic Information Systems Studies
- Spatial and Panel Data Analysis
- Advanced Statistical Methods and Models
- Energy Efficiency and Management
- Tropical and Extratropical Cyclones Research
- Decision-Making and Behavioral Economics
- Flood Risk Assessment and Management
- Energy, Environment, Economic Growth
- Human Mobility and Location-Based Analysis
- Bayesian Methods and Mixture Models
- Electric Vehicles and Infrastructure
- Statistical Methods and Inference
- Housing Market and Economics
Cornell University
2012-2019
East Carolina University
2019
University of Delaware
2019
Hollister (United States)
2012-2017
Abstract An increasing number of national, state, and local programs have offered grants or other monetary incentives to encourage homeowners retrofit their homes reduce damage from natural hazard events. Despite this fact, little is known about how these offerings influence a homeowner’s decision carry out such structural retrofits. This paper studies the impact that different grant program designs in particular on undertake types retrofits mitigate against hurricane damage. Using data...
Many methods have been suggested to choose between distributions. There has relatively less study examine whether these accurately recover the distributions being studied. Hence, this research compares several popular distribution selection through a Monte Carlo simulation and identifies which are robust for types of discrete probability In addition, we it matters that method does not pick correct by calculating expected distance, is amount information lost each compared generating distribution.
Research in discrete choice modeling recent decades has devoted an enormous effort to generalizing the distribution of error term and developing estimation methods that account for more flexible structures heterogeneity. Whereas multinomial probit model offers a fully covariance matrix, maximum simulated likelihood estimator is extremely involved. However, Bayesian techniques have potential break down complexity estimator. By using Monte Carlo study, this paper tests ability Bayes based on...