I finished my economics Ph.D. in the summer of 2022, a few months before ChatGPT was released. I did not know it at the time, but my cohort was the last to graduate under the old rules. The empirical ...

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

Essential commands which correctly handle annoying low-level pitfalls. Retrieval of economic and financial data, both historical and the most current. Data munging, for example, resampling and ...

In an age awash with data, the traditional tools of economics are proving insufficient. The accelerating tide of high-frequency transactions, behavioural datasets, and policy simulations is testing ...

Time series forecasting is a fundamental task in data science, applied statistics, and econometrics. With time series forecasting we aim to predict the future values of time series datasets. A time ...

pydynpd is the first python package to implement Difference and System GMM [1][2][3] to estimate dynamic panel data models. Below is a typical dynamic panel data model: In the equation above, x is a ...

China's construction industry has assumed an important role in China's urbanization process, improving China's urban landscape and the level of national production and living facilities, but the ...

Although the shift toward online learning pre-dated the coronavirus, the pandemic caused a great proliferation in the availability and acceptance of online learning. More and more courses can now be ...

Based on the East Coast, Joshua Ko has been an automotive writer for MakeUseOf for over a year and is a die-hard European car enthusiast. He primarily covers car tips and tricks and DIYs. After ...

Cryptocurrencies often tend to maintain a publically accessible ledger of all transactions. This open nature of the transactional ledger allows us to gain macroeconomic insight into the USD 1 Trillion ...