Fear of increasing inflation in the U.S. appear to be the trigger behind the market volatility of previous weeks. Recent gains in hourly compensation to workers have had analysts measuring the effect […]
One of the most frequent questions in quantitative research is how to assess and rank the relevance of variables in multiple regression models. This uncertainty often arises when researchers prioritize data mining […]
In a previous post, I covered how heteroscedasticity “happened” to me. The anecdote I mentioned mostly pertains to time series data. Given the purpose of the research that I was developing back […]
Ever since Florida surpassed New York as the third most populous state in the nation, journalists started to document the ways in which the South region of the United States began attracting […]
Multicollinearity is a frequent talking point in multiple regression analysis. Whenever analysts conduct quantitative research, they diligently check the core classical assumptions of linear regression. However, some researchers—the “wise ones” looking for […]
The currency seems to have a negative effect… There are two sides to every story, even for US-China foreign trade. Ever since China emerged to the world economy as a major manufacturing […]
Recent data released by the Federal Reserve Bank of New York show mortgage credit has not expanded much since the beginning of the current economic expansion. Unlike many other loans products, Mortgage […]
Campaigns against social security usually claim that Social Security Benefits discourage workers from being employed. Many right wing policy advocates point their fingers at Social Security Benefits as being expensive and further […]
Economists like to think that wages are set depending upon two basic factors plus a “catchall” variable. The two basic factors are expected price level and unemployment rate. The “catchall” variable stands […]
Steps in traditional statistics proceedings for analysis of data: 1. Formulation of Hypothesis. 2. Description of Mathematical model. 3. Collecting and organizing data. 4. Estimation of the coefficients. 5. Hypothesis testing and […]
