Medieval English Crop Yields with Climate and Manorial Variables
by Cliff T. Bekar / ICPSR Harvested Dataverse·Updated 5mo ago
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Description
Featuring agricultural yields for wheat, oats, and barley, measured per acre and per seed, for manors in medieval England. It includes control variables such as precipitation, temperature, population density, and manorial characteristics like soil type and draft animal counts. The data is provided as STATA files with accompanying replication code for the associated academic paper.
Use Cases
Analyze the relationship between wheat yields (yldw) and 30-year moving averages of precipitation (preciptr) and temperature (tempr).
Model the impact of manorial characteristics like soil type (soiltype) and distance to London (dis) on barley yields (yldb).
Investigate how typical sow rates (sow, sowo) and draft animal counts (ani) correlate with oat yields (yldo) across different periods.
Examine the association between changes in population density (dpop) and crop yields segmented by farming strategy codes (farmtype).
Strengths
Includes three distinct crop yield variables (yldw, yldo, yldb) for comparative analysis.
Contains long-term climate indicators with 30-year moving averages for precipitation and temperature.
Integrates multiple manorial control variables such as soil type, crop mix, and husbandry codes from established historical sources.
Limitations
The exact temporal coverage and number of manors or observations are not specified in the input.
Data is provided in a proprietary STATA format, which may require specific software to access.
The description indicates the replication do-files contain redundant code, which may need consolidation for custom analysis.
Provenance
Source
Replication package for the paper "The Persistence of the Harvest in Medieval England".
Collection Method
Compiled from historical manorial records and climate data, as indicated by variable sourcing from Campbell.
Time Range
Medieval period (specific years not provided).
Freshness
null
Geography
Manors in England.
Data is in STATA (.dta) format; users need STATA or a compatible package (e.g., pandas in Python) to read it. The provided .do files require users to set their own working directory paths.