Search results for "regression"
showing 10 items of 2619 documents
Contribution of the Economic Crisis to the Risk Increase of Poor Mental Health in a Region of Spain
2018
Previous research suggests that the economic crisis can affect mental health. The purpose of this study was to analyse the association of risk of poor mental health with various socioeconomic, demographic, health, quality of life, and social support variables
Resisting the extortion racket: an empirical analysis
2018
While the contributions on the organized crime and Mafia environments are many, there is a lack of empirical evidence on the firm’s decision to resist to extortion. Our case study is based on Addiopizzo, an NGO that, from 2004, invites firms to refuse requests from the local Mafia and to join a public list of “non-payers”. The research is based on a dataset obtained linking the current administrative archives maintained by the chambers of commerce and the list updated by the NGO. The objective of this paper is twofold: first, to gather sound data on the characteristics of the Addiopizzo joiners; second to model the probability to join Addiopizzo by a two-level logistic regression model. We …
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.
Measuring the gender wage gap—a methodological note
2019
We propose to estimate the Blinder-Oaxaca decomposition by a single-equation model augmented with interactions between the group membership and other predictors. The relative importance of predicto...
Stock prices, dividends, and structural changes in the long-term: The case of U.S.
2020
Abstract According to several empirical studies, the Present Value model fails to explain the behaviour of stock prices in the long-run. In this paper we consider the possibility that a linear cointegrated regression model with multiple structural changes would provide a better empirical description of the Present Value model of U.S. stock prices. Our methodology is based on instability tests recently proposed in Kejriwal and Perron (2008, 2010) as well as the cointegration tests developed in Arai and Kurozumi (2007) and Kejriwal (2008). The results obtained are consistent with the existence of linear cointegration between the log stock prices and the log dividends. However, our empirical r…
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...
Main driving factors of the interest rate-stock market Granger causality
2017
Abstract This paper investigates the causal relationship between changes in the 10-year Treasury bond yield and the S&P 500 stock return in the United Sates with emphasis on time variation, stress factors and smooth regime transition. First, the time-varying Granger causality test proposed by Lu et al. (2014) is applied. Then a two-regime multifactor smooth transition regression model with a single transition variable representing a wide range of macroeconomic and financial variables is estimated in order to identify the key explanatory factors governing the causal relationship. The results show a significant bidirectional causal relationship over most of the study period, mainly due to the…
Regression with imputed covariates: A generalized missing-indicator approach
2011
A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations with the imputed values to gain precision may lead to bias. In this paper, we formalize this trade-off by showing that one can augment the regression model with a set of auxiliary variables so as to obtain, under weak assumptions about the imputations, the same unbiased estimator of the parameters of interest as complete-case analysis. Given this augmented model, the bias-precision trade-off may the…