You will get Exploratory Data Analysis and Statistical Modelling

Project details
I do time series analysis
1. ARIMA/ARMA/AR
2. GARCH/ARCH
3. VAR/VECM
4. ARDL/NARDL
5. Plus many more
Classification methods like:
1. k-Nearest Neighbours
2. Naive Bayes
3. Logistic Regression
4. Decision trees (Random forests)
5. Artificial neural Networks.
6. Plus many more.
I do Panel Data Analysis in the following outline:
1. Pooled OLS estimator
2. Between estimator
3. First differences estimator
4. Fixed effects within estimator
5. Dummy variables regression
6. Random effects estimator
7. Hausman test for fixed versus random effects
Plus many more.
1. ARIMA/ARMA/AR
2. GARCH/ARCH
3. VAR/VECM
4. ARDL/NARDL
5. Plus many more
Classification methods like:
1. k-Nearest Neighbours
2. Naive Bayes
3. Logistic Regression
4. Decision trees (Random forests)
5. Artificial neural Networks.
6. Plus many more.
I do Panel Data Analysis in the following outline:
1. Pooled OLS estimator
2. Between estimator
3. First differences estimator
4. Fixed effects within estimator
5. Dummy variables regression
6. Random effects estimator
7. Hausman test for fixed versus random effects
Plus many more.
What's included
| Service Tiers |
Starter
$80
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 5 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 2 | 2 | 5 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $70
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John produced high quality work and exceeded my expectations!
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About John
Econometrician | ARDL, Panel, GARCH, DiD | Stata, R, Python, EViews
100%
Job Success
Lilongwe, Malawi - 7:28 am local time
Anyone can run a regression. The hard part is the identification - choosing a design that actually answers your question, testing the assumptions it rests on, and defending the specification when somebody challenges it. That is the part I get paid for, and it is the part I will not fake. If your data cannot support the claim you want to make, I will tell you before you build on it.
WHAT I BUILD
- Time series: ARIMA/SARIMA, VAR, VECM, cointegration, Granger causality
- ARDL and NARDL bounds testing for mixed I(0)/I(1) series, including asymmetric effects
- Volatility and risk: ARCH, GARCH, EGARCH, TGARCH, VaR and Expected Shortfall
- Panel data: fixed and random effects, dynamic panels, Hausman and specification tests
- Causal designs: difference-in-differences, instrumental variables, event studies
- Asset pricing and market efficiency: CAPM, APT, Fama-French, Carhart, abnormal returns
- State-space models and the Kalman filter
- Limited dependent variables: Logit, Probit, Tobit, Poisson
- Forecasting with rolling-origin and out-of-sample validation
WHAT YOU GET
- Reproducible, commented code - Stata .do file, R script or Python notebook. You can rerun every result yourself.
- Publication-quality tables and charts
- A plain-language write-up of what the results mean, including the diagnostics and why they matter
- A clear statement of limitations, not just the numbers that look good
WHO I WORK WITH
Consultancies, NGOs and development organisations running impact and policy evaluation. Finance and investment teams needing volatility, risk or asset-pricing analysis. Companies that need forecasts they can plan around. Research teams and institutions that need an independent econometrician to build, replicate or verify a model.
HOW WE START
Send me the data, or just describe it, along with the question you need answered. I will tell you honestly whether the data can answer it, propose a specification, and agree the scope before any work begins.
Tools: Stata, R, Python, EViews, SPSS, Excel.
BSc Economics, The Catholic University of Malawi.
Tell me what you are trying to measure.
Steps for completing your project
After purchasing the project, send requirements so John can start the project.
Delivery time starts when John receives requirements from you.
John works on your project following the steps below.
Revisions may occur after the delivery date.
Contact me with the requirements before you purchase.
If your analysis involves models which are not listed here please contact me first before the purchase.

