计量经济分析 = Econometric analysis

Machines are increasingly doing “intelligent” things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the pre...

https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.31.2.87

Machine Learning: An Applied Econometric Approach

Research in closed-loop supply chains (CLSCs) has grown rapidly over the last 10 years. The authors offer a critical review of influential CLSC research that takes a business economics perspective. Much of the research was inspired by practice-driven thoughtpieces, and this helped to keep research focused on relevant issues. However, CLSC research has several assumptions, such as perfect substitution between new and remanufactured products that risk becoming institutionalized. There is a strong need to carefully examine current industrial practice so that research remains focused on relevant problems. Deeper understanding of consumer perceptions of remanufactured products, product diffusion, and valuation of returned products are needed for the field to continue to add insights into developing sustainable economies.

Production and Operations Management

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.

Tackling Climate Change with Machine Learning

/pdf/the-review-of-economic-studies-209dovqisz.pdf

Hamed Ghoddusi

Papers

Machine learning in energy economics and finance: A review

Google search keywords that best predict energy price volatility

The effect of financial constraints on energy-climate scenarios

Volatility spillovers for energy prices: A diagonal BEKK approach

Blending under uncertainty: Real options analysis of ethanol plants and biofuels mandates