This paper reviews some key contributions to econometric analysis of human fertility in the last 20 years, with special focus on discussion of prevailing econometric modeling strategies. We focus on the literature that highlights the role of the key drivers of the birth outcomes, including age...

Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact in the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between...

This paper provides a selective overview on the recent development of factor models and their applications in econometric learning. We focus on the perspective of the low-rank structure of factor models, and particularly draws attentions to estimating the model from the low-rank recovery point...

This chapter surveys the usage of Instrumental Variables (IVs) and Regression Discontinuity Designs (RDDs) in economic history. I document the positive trends of economic history articles employing these methods using three different samples: top 20 journals in economics, top 5 journals in...

Matrix algebra was covered in the linear regression, multiple regression section and simultaneous equations models. I have used simple examples to facilitate your learning experience. Econometrics is basically related to economic measurement. It is the application of statistics and mathematics...

Although machine learning is frequently associated with neural networks, it also comprises econometric regression approaches and other statistical technique whose accuracy enhances with increasing observation. What constitutes high quality machine learning is yet unclear though. Proponents of...