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. ...
- 2,673
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 ...
- 54.4k
3
votes
Accepted
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} ...
- 8,246
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 ...
- 2,375
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 ...
- 6,578
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 ...
- 4,188
1
vote
Accepted
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 ...
- 4,188
Only top scored, non community-wiki answers of a minimum length are eligible