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Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on another variable (regressand). However, a descriptive point of view shows that these coefficients are very bad measures of influence. Their interpretation as an average change of...
Persistent link: https://www.econbiz.de/10011511033
Under minimal assumptions finite sample confidence bands for quantile regression models can be constructed. These confidence bands are based on the "conditional pivotal property" of estimating equations that quantile regression methods aim to solve and will provide valid finite sample inference...
Persistent link: https://www.econbiz.de/10014027304
In this paper, we investigate how climate risk impacts the sovereign risk, the stock market evolution, and the degree of competitiveness, starting from the macroeconomic and financial effects globally produced by climate change. Using both quantile and logistic regression and a sample of 22...
Persistent link: https://www.econbiz.de/10013407079
Using panel data taken from the NLSY, I perform the joint estimation of i) a reduced-form dynamic model of the transition from one grade level to the next with observed and unobserved heterogeneity, and ii) a flexible version of the celebrated Mincerian wage regression with skill heterogeneity,...
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The Phillips curve has generally been estimated in a linear framework which implies a constant relationship between inflation and unemployment. Lately there have been several studies which claim that the slope of the Phillips curve is a function of macroeconomic conditions and that the...
Persistent link: https://www.econbiz.de/10011583912
Criminal activity is seasonal, peaking in the summer and declining through the winter. We provide the first evidence that arrests of children and reported crimes involving children follow a different pattern: peaking during the school year and declining in the summer. We use a regression...
Persistent link: https://www.econbiz.de/10014387869
Regressions often use pre-orthogonalized regressors. For example, the exposure of a stock's return to exchange-rate changes is conventionally estimated by regression, and often, the market return is included as an additional regressor. By first orthogonalizing the market return on the exchange...
Persistent link: https://www.econbiz.de/10013090299