Jesper for President's user avatar
Jesper for President's user avatar
Jesper for President's user avatar
Jesper for President
  • Member for 10 years, 7 months
  • Last seen this week
  • Copenhagen, Denmark
35 votes
3 answers
8k views

Propensity score matching - What is the problem?

18 votes
2 answers
927 views

Literature review on non-linear regression

14 votes
2 answers
986 views

OLS as approximation for non-linear function

11 votes
2 answers
2k views

Kernel density estimation and boundary bias

8 votes
3 answers
2k views

What does it mean that a dataset is "biased"?

5 votes
1 answer
1k views

2SLS and Control Functions (identity of estimator)

5 votes
1 answer
215 views

Limits of a density function

4 votes
1 answer
122 views

Kronecker product for two way error component model

4 votes
0 answers
58 views

Fixed effects in linear model

4 votes
1 answer
215 views

Non-Linear regression and variance misspecification

4 votes
1 answer
131 views

Treatment effect and Causal Structural Models (Pearl-type)

4 votes
0 answers
90 views

Bivariate normal and truncated expectation [duplicate]

3 votes
1 answer
119 views

Two step regression using group effects and DAG

3 votes
0 answers
36 views

Literature on Binary regression trees

3 votes
0 answers
260 views

Maximum Likelihood - Normal Errors - When is the Jacobian needed?

3 votes
0 answers
24 views

Why is assuming Determinacy the same as Independence?

2 votes
1 answer
47 views

Covariance in system with lagged reverse causality

2 votes
1 answer
344 views

Timeseries regression

2 votes
0 answers
146 views

Derivatives of quantile loss function [duplicate]

2 votes
1 answer
557 views

Expectation of derivative of kernel density estimator

2 votes
0 answers
33 views

Modifiable Areal Unit Problem

2 votes
1 answer
146 views

Small identifying subsample when using individual specific fixed effects

2 votes
1 answer
40 views

Invariance of average output given output maximization

2 votes
0 answers
67 views

What is a dragon king?

1 vote
0 answers
276 views

How can I concentrate out parameters entering linearly in a partially non-linear regression?