To statalist@hsphsun2.harvard.edu Subject st: How to test the heteroscadasticity and nonnormality in the static random effect tobit model Date Thu, 6 Dec 2007 01:29:25 +0800 (CST)Hi guys, I am wondering, does anyone know how to do the specification test about heteroscadasticity and ...
How to use Stata's sem command with nonnormal data? A new nonnormality correction for the RMSEA, CFI and TLI Meeting of the German Stata Users Group at the Ludwig-Maximilians Universität, 24th May, 2019 ?All models are false, but some are useful." (George E. P. Box) Dr. Wolfgang...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
The paper addresses a crucial gap in the literature by examining the interplay between real estate price bubbles and systemic risk in the United Arab Emirates (UAE) from 2006 to 2022. The paper employs a three-step testing procedure: bubble detection using the bootstrapped GSADF test, measuring ...
Homoscedasticity is also difficult to test, but we include this so that you know why it is important. We include outliers at the end (i.e., Assumption #7) because they cannot only lead to violations of the linearity and univariate normality assumptions, but they also have a large impact...
The MWALD test assumes normality of errors under the null hypothesis of homoskedasticity [10]. We validate MWALD test using modern panel techniques for heterogeneous dynamics (panelhetero) expounded in Okui and Yanagi [11]. It is important to note that the panelhetero algorithm requires a ...
I am regularly using log-transformed variables (they are latencies, which usually need log-transformations to account for normality). Would you standardize (or center) the log-transformed or the original variable; and if it’s the original variable, once it is standardized (or centered), would...
Likewise, when you transform a variable to meet normality assumptions before imputing, you not only are changing the distribution of that variable but the relationship between that variable and the others you use to impute. Doing so can lead to imputing outliers, creating more bias than just ...
For instance, Hart and Sharfman (2015) found that using binary measures of KLD data may not be appropriate due to distributional issues and significant diversions from normality at the indicator level. Utilizing R&D measures also can be problematic, as R&D expenses may not fully capture a firm’...
is a vain attempt to restore the 'normality' of exponential economic growth, then it is hard to see how the decline of industrial civilization can stop anywhere short of neolithic villages. I prefer to assume that the case is not so desperate and talk to other human beings about our common...