County Longitudinal Template, 1840-1990

Horan, Patrick M.; Hargis, Peggy G.

doi:10.3886/icpsr06576.v1

Cited by 19 publications

(23 citation statements)

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“…Richard Hornbeck (2010) mapped data to 1870 boundaries, assigning a special case of the procedure applied here (namely if the variable of interest is assumed to be uniformly distributed within counties). The more common approach is to create county aggregates (e.g., using the template of Horan and Hargis, 1995). Fabian Lange, Alan L. Olmstead, and Paul W. Rhode (2009) created multicounty aggregates with consistent borders 6 7 The spatial realignment of the data using SpAM was used in an abundance of caution to avoid potential re-mapping biases and to develop a general procedure for handling such remapping arc minutes) used to re-align the data has little effect on the results, such that even assuming a uniform spatial distribution within each county produces substantially the same results.…”

Section: Spatial Datamentioning

confidence: 99%

Moving Matters: The Effect of Location on Crop Production

Beddow¹,

Pardey²

2015

J. Econ. Hist.

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U.S corn output increased from 1.8 billion bushels in 1879 to 12.7 billion bushels in 2007. Concurrently, the footprint of production changed substantially. Failure to take proper account of movements means that productivity assessments likely misattribute sources of growth and climate change studies likely overestimate impacts. Our new spatial output indexes show that 16 to 21 percent of the increase in U.S. corn output over the 128 years beginning in 1879 was attributable to spatial movement in production. This long-run perspective provides historical precedent for how much agriculture might adjust to future changes in climate and technology.

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Section: Spatial Datamentioning

confidence: 99%

Moving Matters: The Effect of Location on Crop Production

Beddow¹,

Pardey²

2015

J. Econ. Hist.

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“…See Online Appendix Table for results. County borders are fixed at 1900 borders using the County Longitudinal Template (ICPSR 6576; Horan and Hargis 1995).…”

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confidence: 99%

The Residential Segregation of Immigrants in the United States from 1850 to 1940

Eriksson¹,

Ward²

2019

J. Econ. Hist.

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We provide the first estimates of immigrant residential segregation between 1850 and 1940 that cover the entire United States and are consistent across time and space. To do so, we adapt the Logan–Parman method to immigrants by measuring segregation based on the nativity of the next-door neighbor. In addition to providing a consistent measure of segregation, we also document new patterns such as high levels of segregation in rural areas, in small factory towns and for non-European sources. Early twentieth-century immigrants spatially assimilated at a slow rate, leaving immigrants’ lived experience distinct from natives for decades after arrival.

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“…We did this using a revised version of the County Longitudinal Template of Horan and Hargis (1995) kindly provided to us by Vernon Henderson and Jordan Rappaport. can detect their impact in the cross section because certain places (those with aquifers) have an alternative private provision that is not subject to the same indivisibilities. Second, the availability of this alternative provision through aquifers is certainly exogenous.…”

Section: Vb When Space Is Not a Featureless Plainmentioning

confidence: 99%

Causes of Sprawl: A Portrait from Space

Burchfield

Overman

Puga

et al. 2006

The Quarterly Journal of Economics

567

379

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We study the extent to which us urban development is sprawling and what determines differences in sprawl across space. Using remote-sensing data to track the evolution of land use on a grid of 8.7 billion 30×30 meter cells, we measure sprawl as the amount of undeveloped land surrounding an average urban dwelling. The extent of sprawl remained roughly unchanged between 1976 and 1992, although it varied dramatically across metropolitan areas. Ground water availability, temperate climate, rugged terrain, decentralized employment, early public transport infrastructure, uncertainty about metropolitan growth, and unincorporated land in the urban fringe all increase sprawl.Key words: urban sprawl, land development, remote sensing jel classification: r14, o51 * For helpful comments and suggestions we thank three anonymous referees, William Fischel, Masahisa Fujita, John Hartwick, Vernon Henderson, John Landis, William Strange, and, in particular, Edward Glaeser. We also received helpful comments from seminar participants at the University of California Berkeley, Harvard University, Universitat Pompeu Fabra and Stanford University, and at conferences organized by the Regional Science Association International, the Centre for Economic Policy Research, the Association of Environmental and Resource Economists, and the Lincoln Institute. We are very grateful to Ferko Csillag for his advice on remote-sensing data. Also to the us Geological Survey, and in particular to Stephen Howard and James Vogelmann, for early access to preliminary versions of the 1992 data. Vernon Henderson and Jordan Rappaport kindly provided us with data on metropolitan population 1920-1990, Matthew Kahn with data on employment decentralization, and Jacob Vigdor with data on streetcar usage. While working on this project, Burchfield was an MSc student at the Department of Geography, University of Toronto. She gratefully acknowledges help from Kent Todd in preparing arc Macro Language scripts. Funding from the Social Sciences and Humanities Research Council of Canada (Puga and Turner), and the support of the Canadian Institute for Advanced Research (Puga) and the National Fellows program at the Hoover Institution (Turner) are gratefully acknowledged.† Neptis Foundation, 50 Park Road, Toronto, Ontario m4w 2n5, Canada (e-mail: mburchfield@neptis.org). ‡ Department of Geography and Environment, London School of Economics, Houghton Street, London wc2a 2ae, United Kingdom (e-mail: h.g.overman@lse.ac.uk; website: http://cep.lse.ac.uk/~overman). Also affiliated with the Centre for Economic Policy Research, and the Centre for Economic Performance at the London School of Economics.§ Department of Economics, University of Toronto, 150 Saint George Street, Toronto, Ontario m5s 3g7, Canada (e-mail:d.puga@utoronto.ca; website: http://dpuga.economics.utoronto.ca). Also affiliated with the Canadian Institute for Advanced Research and the Centre for Economic Policy Research. ¶ Department of Economics, University of Toronto, 150 Saint George Street, Toronto, On...

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County Longitudinal Template, 1840-1990

Cited by 19 publications

References 0 publications

Moving Matters: The Effect of Location on Crop Production

Moving Matters: The Effect of Location on Crop Production

The Residential Segregation of Immigrants in the United States from 1850 to 1940

Causes of Sprawl: A Portrait from Space

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