Introduction | Prerequisites | Preparing the Data | Step 1: Load and Mensalize Your Data | Step 2: Create Labor Market Variables | Step 3: Create Quarterly Series | Step 4: Create Monthly Series | 1. COVID-19 Unemployment: The True Peak | 2. The 2014-2017 Recession: Tracking Month-by-Month Deterioration | 3. Minimum Wage Adjustments: Validating Mensalization | Preparing the Minimum Wage Data | The Smoking Gun: January 2013 Transition | A Harder Test: The 2020 Double Adjustment | The Full Picture: 2012-2025 | Summary: What Monthly Data Reveals | 4. Beyond Monthly: Fortnightly and Weekly Analysis | Determination Rates and Experimental Strategies | Sub-Monthly Calibration Workflow | Example: COVID-19 Lockdown at Fortnightly Resolution | Example: Carnival Week Labor Market Effects | Practical Guidelines | See Also | References

Introduction | Why Standard Errors Matter | Prerequisites | Loading and Preparing Data | Strategy 1: Linearization with Strata and PSU | Setting Up a Survey Design | Monthly Time Series with Confidence Intervals | Strategy 2: Replication Weights | Comparing Strategies | Practical Example: Gender Gap in Labor Force Participation | Computing the Gender Gap | Visualizing the Results | Practical Tips | Singleton Strata | Subpopulation Analysis | Summary | References | Further Reading

Introduction | Prerequisites | Required Packages | System Requirements | Understanding PNADC Data | Step 1: Set Up Your Environment | Step 2: Define Which Quarters to Download | Step 3: Download the Data | Step 4: Stack the Quarterly Files | Step 5: Apply Mensalization | Step 6: Explore the Results | Step 7: Save and Use the Results | Memory and Performance Tips | File Size Reference | Extending to Full History | Troubleshooting | Next Steps | References

Overview | Why Rolling Quarters Are Problematic | Quick Start | Understanding the Output | Discovering Available Series | Data Flow | Step 1: Fetching Rolling Quarter Data | Step 2: The Mensalization Transform | Step 3: Using Monthly Estimates | Population Data for Weighting | Working with Series | Fetching by Theme | Fetching Specific Series | Excluding Derived Series | Selecting Output Columns | The Mensalization Methodology | The Core Concept | The Mensalization Formula | The Role of Starting Points ($y_0$) | Assumptions and Limitations | Practical Considerations | API Caching | Common Errors | Data Quality Notes | Custom Starting Points | Option A: All-in-One Function | Option B: Step-by-Step | Validating Custom Starting Points | Case Study: COVID-19 Unemployment | Series Naming Conventions | Function Reference | References | Further Reading

Overview | Installation | Microdata Mensalization | Required Columns | Step 1: Build the Crosswalk | Step 2: Apply Crosswalk and Calibrate Weights | Step 3: Compute Monthly Estimates | Build Once, Apply Many | Monthly Series from SIDRA — No Microdata Needed | Quick Start | Discovering Available Series | Visualizing Monthly vs Rolling Quarter Data | Improving Determination Rates | Annual Data | Function Overview | Next Steps | References

Introduction | Why Stacked Data Matters | The Algorithm Explained | Shared Computation (Steps 1-3) | Step 1: Valid Interview Saturdays (IBGE Rules) | Step 2: Birthday Constraints | Step 3: Date to Period Position | Month Identification Pipeline (Steps 4-7) | Step 4: UPA-Panel Aggregation | Step 5: Cross-Quarter Aggregation | Step 6: Dynamic Exception Detection | Step 7: Final Assignment | Fortnight and Week Identification | Experimental Strategies | Probabilistic Strategy | UPA Aggregation Strategy | Output Columns | Caveats | Weight Calibration | 1. Fetches Monthly Population from SIDRA API | 2. Applies Hierarchical Rake Weighting | 3. Calibrates to Monthly Population Totals | Weight Smoothing | Handling Indeterminate Observations | Performance | Benchmarks | Determination Rates by Year | Tips and Best Practices | Further Reading | References

Introduction | Prerequisites | Complete Workflow | Step 1: Create Mensalization Crosswalk | Step 2: Load Annual PNADC Data | Step 2b: Standardize Column Names | Step 3: Apply Crosswalk and Calibrate Weights | Step 4: Construct Per Capita Income | Step 5: Apply Deflation | Step 6: Define Poverty Line | Analysis Examples | Helper Functions | Example 1: Monthly FGT Poverty Measures | Summary | Further Reading | References