Chad Sparber

2.2k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Chad Sparber is a scholar working on Sociology and Political Science, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Chad Sparber has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 19 papers in Economics and Econometrics and 5 papers in General Health Professions. Recurrent topics in Chad Sparber's work include Migration and Labor Dynamics (21 papers), Labor market dynamics and wage inequality (15 papers) and Migration, Ethnicity, and Economy (9 papers). Chad Sparber is often cited by papers focused on Migration and Labor Dynamics (21 papers), Labor market dynamics and wage inequality (15 papers) and Migration, Ethnicity, and Economy (9 papers). Chad Sparber collaborates with scholars based in United States, Germany and Denmark. Chad Sparber's co-authors include Giovanni Peri, Kevin Shih, Takao Kato, Catalina Amuedo‐Dorantes, Nicole B. Simpson, Anna Maria Mayda, Francesc Ortega, Madeline Zavodny, Sarah Pearlman and Cynthia Bansak and has published in prestigious journals such as The Review of Economics and Statistics, Journal of Development Economics and Journal of International Economics.

In The Last Decade

Chad Sparber

27 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Task Specialization, Immigration, and Wages

2009 521 citations Giovanni Peri, Chad Sparber profile →

Peers

Chad Sparber

SPS

EE

GHP

GEEF

DEMOG

Albrecht Glitz Spain

Matloob Piracha United Kingdom

Herbert Brücker Germany

Cynthia Bansak United States

Catalina Amuedo‐Dorantes United States

Tali Kristal Israel

René Morissette Canada

Dominique Goux France

Bart Cockx Belgium

Derek Leslie United Kingdom

Albrecht Glitz Spain

Chad Sparber

892 ×1.0

SPS

492 ×0.8

EE

234 ×0.8

GHP

57 ×0.4

GEEF

119 ×1.0

DEMOG

Citations per year, relative to Chad Sparber Chad Sparber (= 1×) peers Albrecht Glitz

Countries citing papers authored by Chad Sparber

Since Specialization

Citations

This map shows the geographic impact of Chad Sparber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chad Sparber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Sparber more than expected).

Fields of papers citing papers by Chad Sparber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad Sparber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chad Sparber. The network helps show where Chad Sparber may publish in the future.

Co-authorship network of co-authors of Chad Sparber

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Sparber. A scholar is included among the top collaborators of Chad Sparber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chad Sparber. Chad Sparber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sparber, Chad, et al.. (2024). Buying lottery tickets for foreign workers: Lost quota rents induced by H-1B policy. Journal of International Economics. 150. 103932–103932. 1 indexed citations

2.

Bansak, Cynthia, Sarah Pearlman, & Chad Sparber. (2024). The impact of Secure Communities on the labor market outcomes of immigrant women. Journal of Policy Analysis and Management. 44(3). 917–942. 1 indexed citations

3.

Mayda, Anna Maria, Francesc Ortega, Giovanni Peri, Kevin Shih, & Chad Sparber. (2023). Coping with H-1B Shortages: Firm Performance and Mitigation Strategies. Industrial and Labor Relations Review. 76(5). 919–943. 8 indexed citations

4.

Sparber, Chad, et al.. (2020). Buying Lottery Tickets for Foreign Workers: Search Cost Externalities Induced by H-1b Policy. SSRN Electronic Journal.

5.

Sparber, Chad & Madeline Zavodny. (2020). Immigration, Working Conditions, and Compensating Differentials. SSRN Electronic Journal. 3 indexed citations

6.

Sparber, Chad. (2019). Substitution between groups of highly-educated, foreign-born, H-1B workers. Labour Economics. 61. 101756–101756. 4 indexed citations

7.

Simpson, Nicole B. & Chad Sparber. (2019). Estimating the Determinants of Remittances Originating from US Households Using CPS Data. Eastern Economic Journal. 46(1). 161–189. 12 indexed citations

8.

Mayda, Anna Maria, Francesc Ortega, Giovanni Peri, Kevin Shih, & Chad Sparber. (2018). New Data and Facts on H-1B Workers across Firms. NBER Chapters. 99–121. 1 indexed citations

9.

Mayda, Anna Maria, Francesc Ortega, Giovanni Peri, Kevin Shih, & Chad Sparber. (2018). The effect of the H-1B quota on the employment and selection of foreign-born labor. European Economic Review. 108. 105–128. 26 indexed citations

10.

Sparber, Chad. (2017). Choosing Skilled Foreign‐Born Workers: Evaluating Alternative Methods for Allocating H‐1B Work Permits. Industrial Relations A Journal of Economy and Society. 57(1). 3–34. 6 indexed citations

11.

Peri, Giovanni, Kevin Shih, & Chad Sparber. (2015). STEM Workers, H-1B Visas, and Productivity in US Cities. Journal of Labor Economics. 33(S1). S225–S255. 202 indexed citations

12.

Simpson, Nicole B. & Chad Sparber. (2012). The Short‐ and Long‐Run Determinants of Less‐Educated Immigrant Flows into U.S. States. Southern Economic Journal. 80(2). 414–438. 12 indexed citations

13.

Kato, Takao & Chad Sparber. (2011). Quotas and Quality: The Effect of H-1B Visa Restrictions on the Pool of Prospective Undergraduate Students from Abroad. The Review of Economics and Statistics. 95(1). 109–126. 77 indexed citations

14.

Peri, Giovanni & Chad Sparber. (2011). Highly Educated Immigrants and Native Occupational Choice. Industrial Relations A Journal of Economy and Society. 50(3). 385–411. 128 indexed citations

15.

Sparber, Chad. (2009). Racial Diversity and Aggregate Productivity in U.S. Industries: 1980–2000. Southern Economic Journal. 75(3). 829–856. 39 indexed citations

16.

Peri, Giovanni & Chad Sparber. (2008). Task Specialisation, Immigration and Wages. SSRN Electronic Journal. 57 indexed citations

17.

Sparber, Chad. (2007). Racial Diversity and Aggregate Productivity in U.S. Industries: 1980-2000. SSRN Electronic Journal. 2 indexed citations

18.

Peri, Giovanni & Chad Sparber. (2007). Task Specialization, Comparative Advantages, and the Effects of Immigration on Wages. National Bureau of Economic Research. 10 indexed citations

19.

Sparber, Chad. (2007). A Theory of Racial Diversity, Segregation, and Productivity. SSRN Electronic Journal. 1 indexed citations

20.

Sparber, Chad. (2007). A theory of racial diversity, segregation, and productivity. Journal of Development Economics. 87(2). 210–226. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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