0 items ৳ 0.00
Menu
0 items / ৳ 0.00
0(0 Ratings)

Applied Research Methodology Using Stata

Categories Live
Wishlist

What I will learn?

  • এই কোর্সটি সম্পন্ন করার মাধ্যমে আপনি শিখবেন কীভাবে Stata ব্যবহার করে Research Data প্রস্তুত, বিশ্লেষণ এবং ফলাফল ব্যাখ্যা করতে হয়।
  • Research Data Preparation, Data Cleaning ও Data Management করতে।
  • Descriptive Statistics, Correlation Matrices এবং Data Visualization তৈরি ও বিশ্লেষণ করতে।
  • Cross-sectional Data-এর ওপর Simple ও Multiple OLS Regression Analysis পরিচালনা এবং ফলাফল ব্যাখ্যা করতে।
  • Time-series Data-এর Trend, Autocorrelation, Stationarity Tests ও Regression Analysis করতে।
  • Panel Data প্রস্তুত এবং Pooled OLS, Fixed Effects ও Random Effects Models প্রয়োগ করতে।
  • Hausman ও Mundlak Tests-এর মাধ্যমে উপযুক্ত Panel Model নির্বাচন করতে।
  • Heteroskedasticity, Serial Correlation ও Cross-sectional Dependence শনাক্ত করতে।
  • Clustered Standard Errors, Robustness Checks ও উপযুক্ত Corrective Methods প্রয়োগ করতে।
  • Regression Results ব্যাখ্যা, Research Reporting এবং Reproducible Stata Do-files তৈরি করতে।
  • Practical Outcome: Descriptive Tables, Figures, Regression Results ও Diagnostic Checks-সহ একটি Reproducible Panel Data Analysis Project সম্পন্ন করতে পারবেন এবং Research Findings উপস্থাপনের বাস্তব অভিজ্ঞতা অর্জন করবেন।

Course Curriculum

Session 01: Orientation

Session 02: Cross-sectional data preparation
Data cleaning, descriptive statistics, correlation matrices, histograms, box plots and scatterplots.

Session 03: Cross-sectional regression
Simple and multiple OLS; coefficient interpretation; multicollinearity, heteroskedasticity, specification and influence checks.

Session 04: Time-series exploration
Dates and frequency, trend plots, autocorrelation, stationarity tests, logarithms, growth rates and differencing.

Session 05: Time-series regression
Lagged regression, model selection, residual diagnostics, HAC standard errors and interpretation of short-run relationships.

Session 06: Panel data preparation
Entity and time identifiers, balanced and unbalanced panels, within and between variation, panel plots and pooled OLS.

Session 07: Panel model selection
Fixed effects, random effects and time effects; pooled-model comparisons, Hausman and Mundlak tests; model interpretation.

Session 08: Panel diagnostics
Heteroskedasticity, serial correlation and cross-sectional dependence; clustered standard errors and suitable corrective steps.

Session 09: Panel research application
Robustness checks, interactions, coefficient plots, interpretation, research reporting and a reproducible panel-data project.

Session 10: Assessment

Student Ratings & Reviews

No Review Yet
No Review Yet
Start Learning
  • Level
    Intermediate
  • Certificate
    Certificate of completion

A course by

Financial Consultant, Envirocare International Limited BBA & MBA in Finance (University of Dhaka) · MEcon in Environmental Economics (Dhaka School of Economics, University of Dhaka) · Master’s in Mathematics (AUST) Professional Training: Python & Applied Machine Learning (BUET). Data Science & Machine Learning (NACTAR) Continues in Part II — Applied Research Paper Writing | Part III — Guided Manuscript Development and Publication Support

Shopping cart
Close
Sign in
Close

No account yet?