The specific factors model and the Heckscher- Ohlin model are both suitable to analyze winners and losers from trade. b1) What is the main difference between both models with respect to the time horizon? b2) What is the main difference between both models with respect to the factor mobility?

Explain the similarities and differences between the assumptions of Specific Factor Theory and the Model Trading Heckscher – Ohlin

Consider a one period model in which a representative agent maximises the utility function: u(c,l) = lnc + 5lnl subject to the budget constraints: c = (1-t)w(1-l) + v where c  is consumption and l is the amount of leisure, they enjoy out of a total of one unit of time available, t is the tax on wage earnings which pays for v in government transfer payments. A. Solve for first order conditions of the representative agent. B. Write down the market clearing condition (resource constraint) for the aggregate economy. C. Solve for equilibrium consumption and labour choices.

If you had to choose between Bertrand and Cournot to model an economic scenario,you should lean towards Bertrand if firms in the market being studied can easily adjust their quantities sold, for example on-line stock trading services.(a) True. (b) False.

The COVID pandemic has changed where many people are able to do their work at the city or metro-area level. Which of the following best describes the predictions from a Rosen-Roback style model on how separating work (in the model, wage) from location of residence might impact house prices across different areas. O This should put upward pressure on house prices (and population) in traditionally high-wage areas, and downward pressure on house prices (and population) in traditionally high amenity areas. O This should put downward pressure on house prices (and population) in traditionally high-wage areas, and upward pressure on house prices (and population) in traditionally high amenity areas. O This should put upward pressure on house prices across all areas, regardless of the initial factors associated with that area. O This should put downward pressure on house prices across all areas, regardless of the initial factors associated with that area.

What are the ‘Lessons’ of the Specific Factor Model? Demonstrate this lesson using formal modeling (either graphs or equations).

How can machine learning be used to analyze data-filled Excel spreadsheets? Let's say you're sitting on a spreadsheet with hundreds of open-ended responses from a recent customer survey. Getting insights from a batch like that will mean hours of manual work. Sorting each answer by topic and overall sentiment will prove to be a cumbersome task. And, in the meantime, urgent matters may come up that require your team's attention. A machine learning model can take care of this analysis in an easy, fast, and consistent way. Having a model analyzing your Excel spreadsheets automatically can save your team hours of valuable time and productivity. Additionally, machine learning models can take care of large spreadsheets in a matter of seconds, scaling your team's productivity upwards. This Al Economics Project will show you how to analyze data-filled Excel spreadsheet for Business Intelligence. Depending on the quality of the answer, you are awarded up to 20-32 points for each assignment. Any…

Economics Explain in detail how you would extend the Cox- Ross{Rubinstein binomial tree model for pricing options if instead of considering two states of nature in each period you consider three states of nature (e.g. a good state, a middle state and a bad state). Focus on a tree with two periods (periods 0, 1 and 2) and draw the corresponging trinomial tree.

Which of the following describes features on the equilibrium outcome resulting from a decision. Pick all that apply. Multiple answers: Multiple answers are accepted for this question Select one or more answers and submit. For keyboard navigation. SHOW MORE V It is the result of the decision maker maximizing her objective subject to constraints. It is an exogenous variable. It's value depends on the values of the exogenous variables in the decision process. It's value depends on the values of the endogenous varlables in the decision process.