{"title":"A compact macromodel of pre-industrial population growth.","authors":"John Komlos, Sergey Nefedov","doi":"10.1080/01615440209604133","DOIUrl":null,"url":null,"abstract":"Abstract A compact macromodel of pre-industrial population growth between the Middle Ages and the demographic revolution is proposed. The authors attempt to capture two salient features of the demographic history of this epoch—that is, that population growth was on average slow and cyclical, but that there were phases during which growth was relatively fast. Their model synthesizes Malthusian notions with endogenous technical progress. The latter continually shifts the constraints on population growth. The simulation based on the model is able to reproduce well the estimated size of the European population in this half of the millennium.","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440209604133","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440209604133","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 36
Abstract
Abstract A compact macromodel of pre-industrial population growth between the Middle Ages and the demographic revolution is proposed. The authors attempt to capture two salient features of the demographic history of this epoch—that is, that population growth was on average slow and cyclical, but that there were phases during which growth was relatively fast. Their model synthesizes Malthusian notions with endogenous technical progress. The latter continually shifts the constraints on population growth. The simulation based on the model is able to reproduce well the estimated size of the European population in this half of the millennium.
期刊介绍：
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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