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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.
Fixed-Price - Est. Budget: $ 200 Posted
Necesitamos realizar un ensayo acerca de los mercados financieros y la crisis financiera actual en Europa con especial atención en los mercados españoles. Necesitamos que tenga una extensión de unas 70 paginas, de las cuales están hechas unas 30. Este trabajo requiere la estimación de un modelo de regresión MCO (económetrico, https://es.wikipedia.org/wiki/Mínimos_cuadrados_ordinarios ) por lo que, aunque la regresión es muy sencilla, tendremos preferencia por estadisticos y economistas y/o matemáticos. El trabajo requiere entregas periodicas y debe esta finalizado para el dia 26 de agosto.
Fixed-Price - Est. Budget: $ 200 Posted
I am attempting to set up a system of equations and need help with the design of the system and choice of instrumental variables. The system I am proposing is: Model 1: A = A(t-1) + B(t-1) + C(t-1) + D(t-1) + S Model 2: B = A(t-1) + B(t-1) + C(t-1) + D(t-1) + S Model 3: C = A(t-1) + B(t-1) + C(t-1) + D(t-1) + S Model 4: D = A + B + C Model 5: E = A + B + C + D Model 6: F = A + B + C + D I am trying to determine the impact of freshman basketball players (recruits) on university revenues (E) and university donations (F). A, B, and C are the number of 5-, 4-, and 3-star recruits respectively that a university obtained this year and A(t-1), B(t-1), and C(t-1) are the number they obtained last year. So, I am saying whether a 5-, 4-, or 3-star recruit wants to attend a particular university depends on the university’s prior recruiting (e.g., t-1) of 5-, 4-, and 3-star players plus school choice variables S which includes academic quality and cost. D is the number...
Fixed-Price - Est. Budget: $ 93 Posted
PLEASE ONLY APPLY IF YOU ARE SERIOUS AND RESPONSIBLE ABOUT WORKING ONLINE AS AN ACADEMIC WRITER! THANKS!! We are looking for a lot of good writers to work with us in the long term. We have a constant supply of all different kinds of writing projects on various topics, such as accounting, management, finance, marketing, human resources, environmental science, economics, information system, social sciences, IT and computing, etc. Please note, you will be asked a set of interview questions for us to consider your ability of working with us. You need to answer them carefully in your own words, since we are looking for a good writer to work on the long term basis. Requirements for the writers: - Highly proficient in English writing skills - Able to produce excellent works within short periods of time - Responsive and available online (preferrably Skype) most of the time - Possess advanced research techniques - Familiar with some commonly used referencing styles such as APA,...
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...