JSTOR Daily

Instrumental Variables Regression with Independent Observations

As yet, the theory of instrumental variables (IV) estimation is not applicable to data from a stratified cross section (e.g., census data) since the moment matrices need not converge. This study ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Scientific Research Publishing

The Effects of Cashierless Technology on Amazon’s Stock Price ()

Nguyen (Jearlie), N. (2025) The Effects of Cashierless Technology on Amazon’s Stock Price. iBusiness, 17, 218-227. doi: ...
eLife

Peer reviewers altered their recommendation based on whether they were cited or wanted to be cited. A matched study of open peer review at four journals

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...
JSTOR Daily

Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogeneous Explanatory Variable is Weak

We draw attention to two problems associated with the use of instrumental variables (IV), the importance of which for empirical work has not been fully appreciated. First, the use of instruments that ...
Scientific Research Publishing

Evaluating the Impact of Foreign Investment in Public Quoted Firms on Firm Performance: Insights from Nigeria’s Market Dynamics and Investment Success Fact…

Foreign investment is important for firm performance, especially in emerging markets like Nigeria. However, its effects on ...