Regression Analysis

Communications Earth & Environment, doi:10.1038/s43247-024-01356-0

food security or access to drinking-water. regression analysis and highlighted some of those other influential …

This paper establishes supply and demand elasticities for a broad set of commodities based on a consistent dataset and identification methodology. We apply granular IV methods to a new cross-country …

nine GIVs in total for each commodity. 3.2 Regression Analysis The unweighted average of consumption (or …

Abstract We show that active equity funds deliberately alter their factor loadings rather than maintaining a constant style. Changes are larger following quarters in which funds either under- or out-perform …

from the portfolio holdings data). In our regression analysis on the determinants of loadings changes we … inflows for the momentum factor. In our regression analysis we will capture the non-linear effect in …

The distribution the time of launch, have remained unchanged for value of transactions and number of users in the adoption and use of UPI. [...] Figure 11: Regression Results for …

these factors. Standard errors are adjusted regression analysis. The analysis has been carried for heteroskedasticity … smaller ticket sizes. As discussed in the regression analysis, this Internet penetration rates and digital …

While reliance on human discretion is a pervasive feature of institutional design, human discretion can also introduce costly noise (Kahneman, Sibony, and Sunstein 2021). We evaluate the consequences, determinants, and …

the remainder of the paper, because the regression analysis compares differences across examiners in …

There is growing awareness globally about the potential impacts of climate change on financial stability. Climate-related financial risks can be broadly grouped into two categories: (i) climate physical risks, which …

damages, vulnerability is modeled using a regression analysis to develop damage functions that relate … lower internal production (modeled using a regression analysis of drought severity versus import increases) …

Progress on the United Nations Sustainable Development Goals has been insufficient, not least because of shocks such as the COVID 19 pandemic and recent wars. The cost of this lack …

developing countries. The evidence draws from a regression analysis, which is inspired by existing development … the improved effectiveness of EU ODA. Our regression analysis, which estimated the impacts in infant mortality … European Parliament has called for.70 The regression analysis prepared for the EPRS provides some evidence … (2023/2067(INI)). 71 Annex II – RAND, Section 3.1. The regression analysis finds that a 1 % increase in debt is associated … between the two was not modelled in the regression analysis, but could provide potential for future research …

We build and analyze a new U.S. database that links 125 million applications to job vacancies and employer-side clients on Dice.com, an online platform for jobs and workers in software …

Cameron, A. Colin and Pravin K. Trivedi, 1998. Regression Analysis of Count Data. Cambridge: Cambridge University …

Climate change–induced precipitation anomalies during extremely wet years (EWYs) result in substantial nitrogen losses to aquatic ecosystems (Nw). Still, the extent and drivers of these losses, and effective mitigation strategies …

average (diffPr) was also considered in the regression analysis to represent the possible cumula- tive effects … inputs included those considered in the regression analysis (as mentioned earlier). In addition, we …

Categorical variables have no intrinsic ordering, and researchers often adopt a fixed-effect (FE) approach in empirical analysis. However, this approach has two significant limitations: it overlooks textual labels associated with …

standardize match quality measures for Mincer regression analysis. 15 For example, as shown in columns (1) …