The project studies how credit composition and productive-sector financing evolve across Latin America. It combines descriptive panel analytics, sectoral concentration metrics, country rankings, Bolivia-centered comparison, clustering, and panel econometric specifications when the data support estimation.
The intended unit is country-period, with period inferred from the data. The legacy scripts use date variables and monthly updates. Annual indicators are constructed from monthly data using annual means unless a source-specific stock definition is documented.
CreditType: credit disaggregated by product or credit type.EconomicSector: credit disaggregated by productive economic sector.PanelCompleto: merged country-period panel.The pipeline attempts to construct:
total_credit: total outstanding credit.productive_credit: credit allocated to productive activity.non_productive_credit: total credit minus productive credit.productive_credit_share: productive credit divided by total credit.sector_credit_share: sector credit divided by observed sector total.credit_growth_yoy: year-over-year total credit growth.real_credit_index: base-100 real credit index when deflated variables exist.credit_per_country_index: base-100 country-specific credit index.sector_concentration_hhi: sum of squared sector shares.sector_diversification_index: one minus HHI.credit_volatility: country-level volatility of credit growth.rolling_growth_3y: three-year rolling average credit growth.rolling_volatility_3y: three-year rolling volatility.country_rank_productive_credit: ranking by productive credit.country_rank_diversification: ranking by diversification.pre_post_crisis_dummy: crisis-period marker for 2008-2009.covid_period_dummy: marker for 2020-2021.post_covid_dummy: marker for 2022 onward.When the required source variables are unavailable, the script records the indicator as unavailable.
The descriptive workflow produces panel coverage, variable dictionary, missing value audit, descriptive statistics, country rankings, and editorial figures.
The preferred dependent variable is:
productive_credit_share_it
Candidate explanatory variables:
sector_concentration_hhicredit_growth_yoycredit_volatilityMinimum planned specifications:
If an adequate dependent variable or panel structure is missing, the model script creates status outputs rather than numerical claims.
The robustness script is prepared for outlier exclusion, winsorization at the 1st and 99th percentiles, crisis-year exclusion, pre/post COVID comparisons, Bolivia versus rest-of-region comparisons, fixed-effect alternatives, lagged variables, and alternative standard errors.
Country typologies are planned using productive credit share, sectoral concentration, diversification, credit growth, and volatility. Methods include k-means clustering, hierarchical clustering, and PCA when sufficient complete observations exist.
The central comparative question is: Which countries share Bolivia’s financial development profile?
The current repository lacks versioned raw or cleaned data. As a result, no substantive empirical finding should be read from placeholder outputs. All results must be regenerated after the source data are restored.