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Econometrics Jobs

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Hourly - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We are looking for highly experienced consultant for conducting research in large scale medical or healthcare data mining. The consultant is expected to design and implement one or more machine learning/data mining algorithms considering performance, power and reliability. We are looking for an exceptional candidate with strong background in healthcare data analysis and data mining algorithms, and some experience in parallel programming (preferred, but not required). The project will require availability for about 30 hours per week with the potential to increase to 40 hours per week and longer term for the right consultant.
Hourly - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Research question: What factors contribute to an IPO closing above its market-open price? I am researching the phenomenon of IPO underpricing. However, I would like to analyse the difference between the market open price of an IPO and the market close price on the 1st day of trading. Objective of 1st stage: Identify what variables contribute to an IPO closing above its market open price. Looking for a freelancer with a Masters or a PHD in statistics /econometrics.
Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I can provide the data; you pick a GDP forecasting model and provide code (preferably in R). I also need some analytics that show the logic behind the forecast (e.g. a breakdown by contributing factors). Details: 1. Any reasonable modelling approach (e.g. Vector Auto-Regression or factor analysis) is fine as long as you have reasoning to back up the choice. I prefer intuitive to complicated models. The model does not need to be original. 2. The number of input variables should be below 30 to avoid complication. I can provide any necessary macro or market input data. 3. Analytics: The output must include reasoning that makes it clear what the drivers of the forecast are – e.g. a breakdown of the forecast into contributions from consumption/investment/other data. a. Some impulse response function or scenario analysis type output would also be good. Just the numbers is fine as I can then chart them in excel. b. Similarly, if we could make statements like: “Our GDP forecast for...