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Data and Codes for: Charlie Don't Surf: New Estimates on Literacy Rates and Occupational Structure in Italy before Italy, 1815

Principal Investigator(s): View help for Principal Investigator(s) Marco Martinez, Scuola Superiore Sant'Anna

Name	File Type	Size	Last Modified
10Results_Descriptives.R	text/x-r-syntax	60.3 KB	12/04/2020 11:49:PM
11Results_Inferences.R	text/x-r-syntax	5.1 KB	12/19/2020 12:20:AM
12.pdf	application/pdf	34.2 MB	04/29/2020 04:19:AM
14post-strat_pop_mariella.R	text/x-r-syntax	17.6 KB	12/18/2020 11:15:AM
15post-strat_urbanrural.R	text/x-r-syntax	30.1 KB	12/04/2020 11:55:PM
16parents_and_mobility.R	text/x-r-syntax	21.5 KB	01/22/2021 12:55:AM
1village_geocoding.R	text/x-r-syntax	2.8 KB	02/01/2021 08:25:PM
221405.pdf	application/pdf	539.3 KB	04/01/2020 11:12:PM
2Select_Marriage_Villages.R	text/x-r-syntax	2.7 KB	12/05/2020 12:13:AM
3ICC_calculation_pilot.R	text/x-r-syntax	3.9 KB	12/05/2020 12:11:AM

Project Citation:

Martinez, Marco . Data and Codes for: Charlie Don’t Surf: New Estimates on Literacy Rates and Occupational Structure in Italy before Italy, 1815. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-02-04. https://doi.org/10.3886/E121862V1

Project Description

Summary: Attributing the origins of the North-South literacy divide to its pre-unitary legacies requires evidence about the level of literacy rates at the time of the \emph{ancien r\'egimes}. Using a random sample of marriage certificates from around 1815, I collect new evidence on literacy rates in Italy and occupational structures of cohorts who could attend school before Napoleon. Literacy, skills, and occupational mobilities of sons and daughters are generally low, with important North-South gaps. I attribute persistent regional gaps to spatially different but intergenerationally immobile occupational structures: as long as path-dependence kept demand for literacy low, schooling provision reforms remained ineffective.

Scope of Project

Subject Terms: regional divides; education; pre-industrial Italy; pre-unitary Italy; Napoleonic reforms

Geographic Coverage: Italy

Time Period(s): 1814 – 1816 (1815)

Data Type(s): administrative records data; geographic information system (GIS) data

Methodology

Sampling: I use a one-stage clustered sampling stratified by region scheme: I randomly select a number of villages within the village list of each archival unit. Then I weight the total sample size by the regional population weight and the number of contracts to have in each archive over the total of the region, and start collecting the required marriage certificates for each archival unit.

Data Source: The pictures of the marriage certificates can be retrieved in:
http://dl.antenati.san.beniculturali.it/?q=gallery

Under the headings "Stato Civile Napoleonico" and "Stato Civile della Restaurazione".

Collection Mode(s): record abstracts; web scraping

Scales: The literacy rates are based on a binary scale: either able to sign, or not able to sign. Sometimes, the enumerators explicitly mentioned that the respondents declared to be illiterate.

Weights:

The sample should have a balanced picture of the Italian population, so that inferences are representative and not biased towards overrepresented areas. However, the marriage certificates digitised online are incomplete, and some areas of the North have fewer archives than their population suggests. Since by construction the sampling is stratified by archive, this would over-represent areas where the data collection is complete.
For this reason, I construct three weights: the first weight corrects for within-archive variability in the number of contracts, the second corrects for the between-region variability in archive coverage, and the third weight for the share of urban areas in the region. The 1815 population estimates were drawn from \cite{mariella2020reconstruction}, whose data reconstruction can be considered the most updated and complete, and is constructed using a wealth of micro population studies. I then aggregated at the level of unitary region in the Centre-North, and at the level of pre-unitary provinces in the South. I compared the resulting 1815 estimation with a similar estimation derived from other sources (ASI (1853), Castiglioni (1862)). The population in urban areas was derived from the 1800 estimations of Malanima (2016), an updated version of the database created in Malanima (1998). I consider 9'000 in 1800 as the minimum population threshold for larger towns in 1815, and 4'000 as minimum threshold for smaller towns. I also assume that when town size in 1800 is smaller than 5'000, it is 4'000. However, the share of smaller towns in the 1861 population census was much higher than the one derived by Malanima (2016), who assumes to have population 0 to towns that had less than 5'000 inhabitants in 1800. Assuming smaller towns to have a population of 4'000 partially corrected the discrepancy between the census and the sample urban-rural weights.

Unit(s) of Observation: Each State Archive, or archival unit, has a list of ``villages'', or \emph{paesi}. These are often municipalities, but in some cases correspond to smaller villages or even parishes. Large cities (Palermo, Naples, and Turin) are considered separate archival units so that their larger population size does not overshadow the literacy rates of rural areas. Obtaining a list of the villages from the online platform is straightforward, but it would be very difficult to obtain an ordered list of marriage certificates within each archival unit, because in some cases there are more than one contract per scanned page, and in other cases there is a contract every two or even four pages. For this reason, villages are the unit of observation for sampling purposes, but the unit of analysis is the individual spouse (bride and groom).

Geographic Unit: Unitary region for the North and Centre of Italy; pre-unitary province for Southern Italy

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Published Versions

V2 [2024-06-17]

V1 [2021-02-04]

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