Lee Fiorio
Biographic Data
| ID | 196694 |
|---|---|
| NAME | Lee Fiorio |
| GIVEN NAMES | Lee |
| FAMILY NAME | Fiorio |
| SIGNATURE | FIORIO L |
| AFFILIATIONS | University of Washington |
| ORCID | 0000-0002-6399-3156 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 44 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Geographic Immobility in the United States
This paper explores the prevalence and characteristics of those who never migrate at the state scale in the United States. Studying people who never migrate requires regular and frequent observation of their residential location for a lifetime, or at least for many years. A novel US population‐sized longitudinal dataset that links individual‐level Internal Revenue Service records across time supplies this information annually. Additional linkages…
Modeling the Bias of Digital Data
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for combining digital data and official statistics by using the official statistics to model the spatial and temp…
Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
Georeferenced digital trace data offer unprecedented flexibility in migration estimation. Because of their high temporal granularity, many migration estimates can be generated from the same data set by changing the definition parameters. Yet despite the growing application of digital trace data to migration research, strategies for taking advantage of their temporal granularity remain largely underdeveloped. In this paper, we provide a general fr…
Predicting neighborhood racial change in large US metropolitan areas, 1990–2010
Neighborhoods in US metropolitan areas experienced dramatic changes in racial composition during the 1990s and again during the 2000s. We ask to what extent does the recent period of neighborhood racial change reflect an extension of the local processes operative in the 1990s, processes characteristic of large metropolitan areas or the nation more generally, or reflect new dynamics. After classifying neighborhoods in US metropolitan areas into di…
Foreign-born and native-born migration in the U.S
Remaking white residential segregation
Between 1990 and 2010, the white population share in US metropolitan areas fell from 73.5 percent to 60.3 percent. This paper explores how this decline affected the number and composition of white census tracts (tracts in which non-Latino whites constitute the largest group). In 1990, white tracts comprised 82 percent of all metropolitan tracts. By 2010, this percentage had fallen to 70 percent, paralleling the percentage point drop in white popu…
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
Remaking white residential segregation
Between 1990 and 2010, the white population share in US metropolitan areas fell from 73.5 percent to 60.3 percent. This paper explores how this decline affected the number and composition of white census tracts (tracts in which non-Latino whites constitute the largest group). In 1990, white tracts comprised 82 percent of all metropolitan tracts. By 2010, this percentage had fallen to 70 percent, paralleling the percentage point drop in white popu…
Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
Georeferenced digital trace data offer unprecedented flexibility in migration estimation. Because of their high temporal granularity, many migration estimates can be generated from the same data set by changing the definition parameters. Yet despite the growing application of digital trace data to migration research, strategies for taking advantage of their temporal granularity remain largely underdeveloped. In this paper, we provide a general fr…
Modeling the Bias of Digital Data
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for combining digital data and official statistics by using the official statistics to model the spatial and temp…
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
Foreign-born and native-born migration in the U.S
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
Remaking white residential segregation
Between 1990 and 2010, the white population share in US metropolitan areas fell from 73.5 percent to 60.3 percent. This paper explores how this decline affected the number and composition of white census tracts (tracts in which non-Latino whites constitute the largest group). In 1990, white tracts comprised 82 percent of all metropolitan tracts. By 2010, this percentage had fallen to 70 percent, paralleling the percentage point drop in white popu…
Predicting neighborhood racial change in large US metropolitan areas, 1990–2010
Neighborhoods in US metropolitan areas experienced dramatic changes in racial composition during the 1990s and again during the 2000s. We ask to what extent does the recent period of neighborhood racial change reflect an extension of the local processes operative in the 1990s, processes characteristic of large metropolitan areas or the nation more generally, or reflect new dynamics. After classifying neighborhoods in US metropolitan areas into di…
Foreign-born and native-born migration in the U.S
Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
Georeferenced digital trace data offer unprecedented flexibility in migration estimation. Because of their high temporal granularity, many migration estimates can be generated from the same data set by changing the definition parameters. Yet despite the growing application of digital trace data to migration research, strategies for taking advantage of their temporal granularity remain largely underdeveloped. In this paper, we provide a general fr…
Modeling the Bias of Digital Data
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for combining digital data and official statistics by using the official statistics to model the spatial and temp…
Geographic Immobility in the United States
This paper explores the prevalence and characteristics of those who never migrate at the state scale in the United States. Studying people who never migrate requires regular and frequent observation of their residential location for a lifetime, or at least for many years. A novel US population‐sized longitudinal dataset that links individual‐level Internal Revenue Service records across time supplies this information annually. Additional linkages…
Urban, Neighborhood, and Segregation Studies (7 works) · Population (5 works) · Computer Science (4 works) · Demography (4 works) · Geography (4 works) · Sociology (4 works) · Census (3 works) · Demography (3 works) · Mathematics (3 works) · Statistics (3 works)