| 1. |
- Andersson-Skog, Lena, et al.
(författare)
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Om ekonomisk historia
- 2020. - 1
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Ingår i: Vad är ekonomisk historia?. - : Studentlitteratur AB. - 9789144132945 ; , s. 21-37
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Bokkapitel (refereegranskat)
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| 2. |
- Andersson-Skog, Lena, et al.
(författare)
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Om metoder i ekonomisk historia
- 2020. - 1
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Ingår i: Vad är ekonomisk historia?. - : Studentlitteratur AB. - 9789144132945 ; , s. 67-91
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Bokkapitel (refereegranskat)
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| 3. |
- Andersson-Skog, Lena, et al.
(författare)
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Om teorier i ekonomisk historia
- 2020. - 1
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Ingår i: Vad är ekonomisk historia?. - : Studentlitteratur AB. - 9789144132945 ; , s. 39-66
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Bokkapitel (refereegranskat)
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| 4. |
- Bengtsson, Erik, et al.
(författare)
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Ekonomisk ojämlikhet
- 2020
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Ingår i: Vad är ekonomisk historia?.
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 5. |
- Berger, Thor, et al.
(författare)
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Geographical Location and Urbanization of the Swedish Manufacturing Industry, 1900-1960: Evidence from a New Database
- 2012
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Ingår i: Scandinavian Economic History Review. - 0358-5522. ; 60:3, s. 290-308
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Tidskriftsartikel (refereegranskat)abstract
- This article introduces a new database, based on official statistics, of regional manufacturing industries in Sweden. We employ this database to examine the distribution of manufacturing activity across Swedish regions and cities, 1900–1960. Over this period we observe an increasing concentration of manufacturing activities, reaching a peak around 1940, across the northern, southern and western parts (NUTS-I areas) of Sweden. Over the same period, the North-South divide in terms of manufacturing employment grew larger. Across counties (NUTS-III) and cities we, however, observe two shorter periods of convergence of manufacturing activities, in the early twentieth century and in the post-war period, whereas the inter-war period was characterised by divergence. These developments occurred to the backdrop of the urbanisation of industry in Sweden, as the rural share of manufacturing employment declined from roughly 60 to 25% between 1900 and 1960. We also find that the regional patterns of individual industries over time followed different trajectories, suggesting that that the determinants of industry location differed significantly across industries.
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| 6. |
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| 7. |
- Berger, Thor, et al.
(författare)
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Locomotives of local growth: The short- and long-term impact of railroads in Sweden
- 2017
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Ingår i: Journal of Urban Economics. - : Elsevier BV. - 1095-9068 .- 0094-1190. ; 98, s. 124-138
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Tidskriftsartikel (refereegranskat)abstract
- This paper studies the impact of railroads on 150 years of urban growth in Sweden, identifying the short- and long-term effects of a first wave of railroad construction. Difference-in-differences and instrumental variable estimates show that towns that gained access experienced substantial relative increases in population, though such growth mainly reflected a relocation of economic activity. Over the twentieth century, we find little evidence of convergence in town populations, despite the railroad network expanding further to connect nearly all towns. Evidence on historical investments and present-day factors is consistent with the idea that the transitory shock of the first railroads gave rise to path dependence in the location of economic activity.
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| 8. |
- Berger, Thor, et al.
(författare)
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Locomotives of Local Growth: The Short- and Long-Term Impact of Railroads in Sweden
- 2014
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- This paper studies the impact of railroads on town-level growth in Sweden over 150 years. Our analysis builds on the fact that railroads historically were extended quasi-randomly across towns. Towns that gained access to a rail connection grew larger relative to other towns, with large negative spillovers on unconnected nearby towns. Over the 20th century, we find little adjustment to the initial shock in town populations, despite a sharp reversal in relative connectivity. Evidence on historical investments and present-day factors is consistent with this temporary shock giving rise to path dependence in the location of economic activity.
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| 9. |
- Blomqvist, Christopher, et al.
(författare)
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Joint Handwritten Text Recognition and Word Classification for Tabular Information Extraction
- 2022
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Ingår i: 2022 26th International Conference on Pattern Recognition (ICPR). - 9781665490627 - 9781665490634 ; , s. 1564-1570
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Konferensbidrag (refereegranskat)abstract
- In this paper, we present a system for extracting tabular information from loosely structured handwritten documents. The system consists of three parts, (i) a u-net like CNN-based method for text detection and segmentation, (ii) a new attention-based method for simultaneous text recognition and classification of word-parts, and (iii) a method for matching the word parts into a tabular structure for each entry. A key contribution is the observation that the new attention-based recognition and classification module makes it possible for improved spatial analysis of the tabular information. The method is evaluated on a unique historical document: The Swedish Wealth Tax of 1571, consisting of 11,453 pages of hand-written tax records. The evaluation shows that the system provides a significant improvement to the state-of-the-art to the problem of tabular extraction from loosely structured historical documents.
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| 10. |
- Blomqvist, Christopher, et al.
(författare)
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Reading the ransom: Methodological advancements in extracting the Swedish Wealth Tax of 1571
- 2023
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Ingår i: Explorations in Economic History. - : Elsevier BV. - 0014-4983. ; 87
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Tidskriftsartikel (refereegranskat)abstract
- We describe a deep learning method to read hand-written records from the 16th century. The method consists of a combination of a segmentation module and a Handwritten Text Recognition (HTR) module. The transformer-based HTR module exploits both language and image features in reading, classifying and extracting the position of each word on the page. The method is demonstrated on a unique historical document: The Swedish Wealth Tax of 1571. Results suggest that the segmentation module performs significantly better than the lay-out analysis implemented in state-of-the art programs, enabling us to trace many more text blocks correctly on each page. The HTR module has a low character error rate (CER), in addition to being able to classify words and help organize them into tabular formats. By demonstrating an automated process to transform loosely structured handwritten information from the 16th century into organized tables, our method should interest economic historians seeking to digitize and organize quantitative material from pre-industrial periods.
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