Daniel Redel
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All (7)
A/B Testing (2)
ARIMA (1)
Bayesian Statistics (1)
Binary Choice Models (2)
Causal Inference (4)
Competition & Antitrust (2)
Diff-in-Diff (1)
Econometrics (1)
Gasoline Industry (1)
Kernel Density Estimation (1)
Nonparametric Regression (1)
Python (2)
R (2)
Semiparametric Regression (1)
Simulation (1)
Spatial Analysis (1)
Time Series (1)
analysis (1)
code (1)
python (1)

My Posts

Causal ARIMA Approach to Estimate Price Policy Changes on Sales
Causal Inference
R
Time Series
ARIMA
C-ARIMA to estimate the causal effects in time series settings where no control unit is available.
Daniel Redel
May 22, 2024

Bayesian Approach to A/B Testing
Bayesian Statistics
Causal Inference
A/B Testing
Python
Bayesian A/B testing Analysis using Python.
Daniel Redel
May 10, 2024

Merger Simulation of Broadband Internet Services
Competition & Antitrust
R
Binary Choice Models
Simulation
Assessing merger competitive effects through merger simulation.
Daniel Redel
May 9, 2024

Retail Gasoline Merger in Chile: An Ex-Post Merger Evaluation
Causal Inference
Competition & Antitrust
Diff-in-Diff
Econometrics
Spatial Analysis
Gasoline Industry
Ex-post assessments of merger effects in Chilean’s retail gasoline market.
Daniel Redel
Apr 22, 2024

A/B Testing Analysis
Causal Inference
A/B Testing
Python
A/B testing Analysis using Python.
Daniel Redel
Apr 5, 2024

Nonparametric & Semiparametric Binary-Choice Regressions
Nonparametric Regression
Semiparametric Regression
Binary Choice Models
Kernel Density Estimation
Nonparametric Kernel Density, Nonparametric Regression and Binary-Choice Models.
Daniel Redel
Dec 11, 2022

Quarto Basics
python
code
analysis
My first Jupyter Notebook
Daniel Redel
May 22, 2021
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