This article presents a novel methodology to assess the financial risk crops in highly weather-volatile regions. We use data-driven methodologies that singular value decomposition techniques low-income economy. The measure is first derived by applying frameworks, Principal Component Analysis (PCA), and Singular Spectrum (SSA) productive coffee Colombia (163 weather stations) during 2010–2019. o...

This thesis examines various aspects of environmental economics. The first chapter estimates how individuals' beliefs about climate change are affected by local weather fluctuations. Climate change is a one-time uncertain event with no opportunities for learning; the belief updating process may not be fully Bayesian. Using unique survey data on beliefs about the occurrence of the effects of glo...

weather circulation patterns play a main role in the occurrence of environmental phenomena especially in middle latitude. occurrence of dry and wet spells is in relation to synoptical system repetitions and types of weather. in this research first by using of standard precipitation index (spi), extensive droughts in the province were identified. then by using principal component analysis (pca) ...

The Genetic Information Nondiscrimination Act (GINA) of 2008 was the first US legislation to address genetic discrimination. We sought to assess understanding of GINA among individuals affected by the autosomal dominant condition, Huntington disease (HD). We conducted a cross-sectional survey of individuals with varying risk of HD to assess their familiarity with GINA. As a control, individuals...

Climate change, combined with an expanding risk universe, has led to a significant rise in the frequency and amount of claims paid by insurers and reinsurers over the past three decades. Major 21 century challenges, such as adapting to climate change, food security, and the development of renewable energy, have turned the spotlight on the ties that bind man to his environment. At the end of the...

Crop insurance programs rely on conditional predictive distributions of loss random variables (e.g., yield, revenue, costs, etc.) to determine probabilities and magnitudes loss. The may be related stochastic that are not known at the time policy is priced. Such case for weather; weather stochastic, realizations when crop sold, there often additional historical information relative variable itse...

Weather Index-based Insurances (WIIs) have emerged as a promising risk coping mechanism to compensate for weather-induced damage rainfed agriculture. Remote sensing may provide cost-effective information capable of discriminating the weather spatial variability thus reducing basis risk, i.e., mismatch between weather-based index triggering insurance payout and actual experienced by farmers, whi...