Workshop 3: adoption studies

Materials:

  1. Access the workshop files:Please download the required dataset from the shared folder. Workshop dataset

  2. Conduct descriptive analysis: Summarize key variables (e.g., age, education, farm size, and more) or generate frequency tables and mean comparisons

  3. Determine Factors Affecting Adoption: Run the following regression models:

    • OLS (Linear Probability Model) – for a basic understanding, though not ideal for binary outcomes
    • Probit Model – uses cumulative normal distribution to estimate adoption probability
    • Logit Model – uses logistic distribution for binary outcomes

  4. Identify Significant Variables: Examine p-values and coefficients from each model. Identify which variables significantly influence adoption decisions.

  5. Interpret the coefficients of the significant variables affecting adoption

Output submission
  1. Upload your .do file and the exported excel files containing the results for linear probability model (LPM) or OLS, probit, and logit.

Upload your output here