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3 votes

Resources to derive economic forecasts

For forecasting with VAR in R there are some good tutorials on econometrics with R. This tutorial from Justin Eloriaga also helped me when we had to make VAR for our quantitative macro assignment. ...
csilvia's user avatar
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3 votes

Resources to derive economic forecasts

You can find excellent examples of codes for DSGE models as well as VAR on QuantEcon. For example, here is an example of VAR model in Python, and here is an example of some simple DSGE model. The ...
1muflon1's user avatar
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3 votes
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Corner solution of the maximization problem

Here is the formulation of the problem : \begin{eqnarray*} \max_{c, h, l} \ & \ln (c - \gamma) + \beta l + \theta h \\ \text{s.t.} & l + h = 1, \\ & c \leq \omega h + \rho, \\ \text{and} ...
Amit's user avatar
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2 votes
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How to write the dual problem of this maximization problem?

Everything is explained here: http://en.wikipedia.org/wiki/Linear_programming#Another_example.
Oliv's user avatar
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2 votes

Linear programming, shadow price range

The shadow price is formally not the increase in the objective function for relaxing a constraint by a single unit, but by an infinitesimal relaxation. In the world of linear programming it can be ...
Maarten Punt's user avatar
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1 vote

Has this differential calculus inequality approach to optimizing the production possibility curve exist?

I don't really understand your optimization problem as it stands. Just as a few examples, when you write out $$\min \sum_m \sum_v \left( \frac{\partial \vec f_v (\vec Q_v)}{\partial \vec f_m (\vec ...
Kitsune Cavalry's user avatar
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1 vote

Corner solution of the maximization problem

The corner solution is not $c=a$ it cannot be because the marginal utility of even a tiny bit of consumption is unbounded there. However, you can have a corner solution where $h=0$. Since the agent ...
Regio's user avatar
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1 vote
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A profit maximization problem (whole problem has been solved, I just have question about interpretation)

Your production function is basically a Cobb-Douglas function of the form $y=A(t_m-a)^\alpha(t_l-b)^\beta$. Therefore, the parameters $\alpha$ and $\beta$ measure the intensity with which inputs are ...
Regio's user avatar
  • 4,188

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