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Mad data scientist.


Dec
15
comment Mean and variance of rank data with and without ties
Cross posted (sort of) at CV: stats.stackexchange.com/questions/129127/…
Dec
13
comment Assigning value in a marketplace
This is called a two-sided platform.
Dec
12
awarded  Critic
Dec
9
comment Consumer Surplus
Hint: the height of the demand curve gives you willingness to pay for each unit. CS is the difference between that curve and the price the consumers actually paid on all the units that were consumed. However, I am not sure what "sales level" means. Is that price?
Nov
26
revised Claim: Mathematical models of the economy have thousands of variables
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Nov
25
answered Claim: Mathematical models of the economy have thousands of variables
Nov
7
comment Easy (?) application of Lagrange multiplier
Should the second $a_L$ in (2) and the one in $3$ be $a_H$s?
Nov
3
revised How do I find if this estimator is unbiased and also its variance?
added 17 characters in body
Nov
3
revised How do I find if this estimator is unbiased and also its variance?
added 6 characters in body
Oct
31
revised How do I find if this estimator is unbiased and also its variance?
edited body
Oct
31
revised How do I find if this estimator is unbiased and also its variance?
edited body
Oct
31
answered How do I find if this estimator is unbiased and also its variance?
Oct
31
comment How do I find if this estimator is unbiased and also its variance?
Is $y_i=\alpha + \beta x_i + u_i$?
Oct
29
comment Finding the optimal combination for the Cobb-Douglas function given a budget
Hint: solve for K as a function of L, budget, and prices. Plug that back into the Q equation. Now you have a maximization in one variable, L. It might make it easier if you take the natural log of the Q equation to make things easier first.
Oct
27
comment A sufficient condition for a good to be normal
There's some graphical intuition in Fig 1 here.
Oct
22
comment Aggregated demand function for several similar offers?
It's not entirely clear what you are asking. I would recommend taking a look at chapter 2 of Kenneth Train's Discrete Choice Methods With Simulation.
Oct
3
comment Convergence of probability
It's also known as continuous mapping theorem.
Oct
3
comment Convergence of probability
There is a theorem, occasionally called Slutsky's, that says that you can "pass" $plim$s though nonlinear, continuous functions, which is something you can't do with expectations. Summation of squared terms is a kind of function.
Sep
30
awarded  Explainer
Sep
30
comment The t-statistics
See en.m.wikipedia.org/wiki/T-statistic