Search results for "quantile regression."
showing 10 items of 64 documents
A ricardian analysis of the impact of climate change on permanent crops in a mediterranean region
2019
This is the first study which explores the impact of climate change in Sicily, a small Mediterranean region of Southern Europe. According to research, Mediterranean area has shown large climate shifts in the last century and it has been identified as one of the most prominent “Hot-Spots” in future climate change projections. Since agriculture is an economic activity which strongly depends on climate setting and is particularly responsive to climate changes, it is important to understand how such changes may affect agricultural profitability in the Mediterranean region. The aim of the present study is to assess the expected impact of climate change on permanent crops cultivated in Sicilian r…
Distribution and categorization of left ventricular measurements in the general population: results from the population-based Gutenberg Heart Study.
2010
Background— Echocardiography, the dominant imaging modality for quantification of left ventricular metrics, has undergone continuing development in the past few decades. However, given the lack of population-based data, current guidelines are still based on restricted and small data sets analyzed with methods including expert opinion. This work presents empirically derived reference values from a large-scale, epidemiologic study conducted with state-of-the-art imaging technology and methods. Methods and Results— The distribution of echocardiographic measurements of the left ventricle was analyzed in a population-based sample of 5000 mid-Europeans from the Gutenberg Heart Study in Germany. …
Exploring the linkage between dew point temperature and precipitation extremes: A multi-time-scale analysis on a semi-arid Mediterranean region
2021
Abstract Understanding warming climate implications on precipitation is of crucial importance, especially for areas particularly subjected to climate changes and land use/cover modifications, which could be extremely vulnerable to phenomena typically caused by rainfall extremes, such as floods and landslides. Past decade has been witnessing an increasing interest on simple modeling approaches based on the observation of commonly available meteorological variables and their physical linkages. In particular, based on the well-known thermodynamic Clausius-Clapeyron (CC) equation, it was widely investigated the scaling relation between rainfall extremes and variables representative of the near …
Detecting precipitation trend using a multiscale approach based on quantile regression over a Mediterranean area
2021
One of the most relevant and debated topics related to the effects of the climate change is whether intense rainfall events have become more frequent over the last decades. It is a crucial aspect, since an increase in the magnitude and frequency of occurrence of heavy rainfall events could result in a dramatic growth of floods and, in turn, human lives losses and economic damages. Because of its central position in the Mediterranean area, Sicily has been often screened with the aim to capture some trends in precipitation, potentially related to climate change. While Mann-Kendall test has been largely used for the rainfall trend detection, in this work a different procedure is considered. Pr…
U.S. stock prices and macroeconomic fundamentals: Fresh evidence using the quantile ARDL approach
2020
This paper explores the long‐run relationship and the associated short‐run dynamics between the U.S. stock market and three major macroeconomic fundamentals, namely the U.S. industrial production index, the U.S. 10‐year Treasury bond yield and the West Texas Intermediate oil price, for the time period covering 1985–2015. The quantile autoregressive distributed lag (QARDL) model presented by Cho et al. (2015) Journal of Econometrics, 188, 281–300, which combines the autoregressive distributed lag model of Pesaran and Shin (1998), Cambridge University Press, and Pesaran et al. (2001) Journal of Applied Econometrics, 16, 289–326, and the quantile regression methodology of Koenker and Bassett (…
Is ICT the Key to Development?
2010
Using panel data for 52 developed and developing countries over the period 1998-2006, this article examines the links between information and communication technology diffusion and human development. We conducted a panel regression analysis of the investments per capita in healthcare, education and information and communication technology against human development index scores. Using a quantile regression approach, our findings suggest that changes in healthcare, education and information and communication technology provision have a stronger impact on human development index scores for less developed than for highly developed countries. Furthermore, at lower levels of development education…
Exploring the relationship between Information and Communication Technologies (ICT) and academic performance: A multilevel analysis for Spain
2021
Abstract With the world becoming increasingly digitalized, determining the relationship between the use of Information and Communication Technologies (ICT) and educational outcomes takes on special relevance for guiding educational policy decisions in a reasoned way. The objective of this research is to explore the relationship between different types of ICT use at school and at home, students' attitudes towards ICT, and academic performance, as well as to see if these associations differ according to the level of performance of the students. For this purpose, we apply multilevel regression models and quantile regression models with data from the Programme for International Student assessme…
Is full banking integration desirable?
2020
The aim of this paper is to analyze the links between banking integration and economic development for a sample of OECD countries. We measure banking integration considering state-of-the-art indicators that measure not only how open a banking system is but also its degree of connectedness with other banking systems. In a second stage, we plug these indicators in a model of economic growth, also controlling for other relevant variables considered by the economic growth literature. In contrast to previous initiatives, this second stage explicitly takes into account the differing levels of economic development of the countries in our sample, since the benefits of enhanced banking inte- gration…
Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach
2015
This paper examines the degree of interest rate exposure of Spanish industries for the period 1993–2012 using the quantile regression methodology. The empirical results show that the Spanish stock market exhibits a significant level of interest rate sensitivity, although there are notable differences across industries and over time. In addition, the impact of changes in interest rates on industry equity returns tends to be more pronounced in extreme market conditions, i.e. during crises or bubbles in stock markets, than in normal periods. This finding may be related to herding behavior of stock investors during periods of market stress.
Does Shariah compliance make interest rate sensitivity of Islamic equities lower? An industry level analysis under different market states
2018
This paper examines the sensitivity of the Dow Jones Islamic market index and its corresponding industry equity indices to changes in the level, slope and curvature of the U.S. term structure of in...