Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A Portrait of Firms that Invest in R&D |
1 |
3 |
7 |
149 |
1 |
3 |
24 |
329 |
AI Adoption in America: Who, What, and Where |
0 |
1 |
4 |
39 |
2 |
3 |
15 |
60 |
AI Adoption in America: Who, What, and Where |
3 |
4 |
27 |
103 |
14 |
23 |
101 |
274 |
Addressing Data Gaps: Four New Lines of Inquiry in the 2017 Economic Census |
0 |
0 |
3 |
56 |
0 |
2 |
9 |
222 |
Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey |
0 |
0 |
8 |
74 |
6 |
9 |
45 |
243 |
Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey |
2 |
6 |
22 |
115 |
10 |
30 |
103 |
375 |
Aggregate Productivity Growth: Lessons From Microeconomic Evidence |
0 |
0 |
3 |
665 |
1 |
2 |
8 |
2,178 |
Aggregate Productivity Growth: Lessons from Microeconomic Evidence |
0 |
0 |
0 |
945 |
0 |
1 |
11 |
3,025 |
An Analysis of Key Differences in Micro Data: Results from the Business List Comparison Project |
0 |
0 |
0 |
62 |
2 |
2 |
2 |
196 |
Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey |
1 |
5 |
25 |
249 |
10 |
21 |
114 |
612 |
Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey |
0 |
0 |
3 |
29 |
0 |
2 |
16 |
63 |
Business-Level Expectations and Uncertainty |
0 |
0 |
0 |
6 |
0 |
1 |
1 |
17 |
Business-Level Expectations and Uncertainty |
0 |
1 |
1 |
12 |
0 |
2 |
8 |
60 |
Business-Level Expectations and Uncertainty |
0 |
1 |
1 |
14 |
0 |
3 |
3 |
56 |
Characteristics of the Top R&D Performing Firms in the U.S.: Evidence from the Survey of Industrial R&D |
0 |
1 |
2 |
202 |
0 |
1 |
4 |
622 |
Customer-Employee Substitution: Evidence from Gasoline Stations* |
0 |
0 |
0 |
63 |
0 |
2 |
4 |
157 |
Dispersion in Dispersion: Measuring Establishment-Level Differences In Productivity |
0 |
0 |
0 |
13 |
1 |
1 |
3 |
29 |
Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity |
0 |
0 |
2 |
206 |
1 |
3 |
26 |
817 |
Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity |
0 |
0 |
1 |
1 |
0 |
0 |
4 |
13 |
Diversity and Labor Market Outcomes in the Economics Profession |
0 |
0 |
4 |
52 |
1 |
3 |
17 |
132 |
Employment Adjustment Costs and Establishment Characteristics |
0 |
0 |
1 |
147 |
0 |
0 |
2 |
609 |
Establishment and Employment Dynamics in Appalachia: Evidence from the Longitudinal Business Database |
0 |
0 |
0 |
82 |
0 |
0 |
6 |
395 |
Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database |
0 |
0 |
7 |
7 |
0 |
0 |
14 |
14 |
Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database |
0 |
0 |
25 |
25 |
0 |
1 |
79 |
79 |
Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database |
1 |
2 |
5 |
5 |
1 |
3 |
9 |
9 |
Gross Job Flows for the U.S. Manufacturing Sector: Measurement from the Longitudinal Research Database |
0 |
0 |
1 |
189 |
1 |
5 |
7 |
791 |
High Frequency Business Dynamics in the United States During the COVID-19 Pandemic |
0 |
0 |
2 |
94 |
0 |
5 |
16 |
351 |
IT and Management in America |
0 |
1 |
1 |
49 |
0 |
1 |
6 |
117 |
IT and Management in America |
0 |
0 |
3 |
150 |
0 |
0 |
6 |
229 |
IT and management in America |
0 |
0 |
1 |
34 |
1 |
1 |
4 |
74 |
Imputations and corrections on the SSEL for payroll and employment |
0 |
0 |
1 |
3 |
0 |
0 |
1 |
24 |
In brief: Management in America |
0 |
0 |
0 |
73 |
0 |
0 |
1 |
183 |
Innovation, Productivity Dispersion, and Productivity Growth |
0 |
0 |
0 |
184 |
0 |
0 |
5 |
413 |
Innovation, Productivity Dispersion, and Productivity Growth |
0 |
0 |
0 |
127 |
0 |
2 |
3 |
190 |
Investment and Subjective Uncertainty |
0 |
1 |
1 |
12 |
0 |
1 |
1 |
26 |
Investment and Subjective Uncertainty |
0 |
0 |
0 |
11 |
0 |
3 |
6 |
31 |
Investment and Subjective Uncertainty |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
6 |
Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
1 |
1 |
1 |
103 |
2 |
3 |
11 |
214 |
Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
0 |
0 |
0 |
98 |
1 |
1 |
3 |
143 |
Management in America |
0 |
2 |
6 |
265 |
1 |
5 |
21 |
901 |
Measuring the Effect of COVID-19 on U.S. Small Businesses: The Small Business Pulse Survey |
0 |
1 |
8 |
1,709 |
1 |
9 |
39 |
7,580 |
Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau’s Experience |
0 |
0 |
2 |
43 |
0 |
0 |
3 |
109 |
ON THE SOURCES AND SIZE OF EMPLOYMENT ADJUSTMENT COSTS |
0 |
0 |
0 |
82 |
0 |
0 |
1 |
260 |
Opening the Black Box: Task and Skill Mix and Productivity Dispersion |
0 |
0 |
0 |
22 |
0 |
0 |
5 |
22 |
Opening the Black Box: Task and Skill Mix and Productivity Dispersion |
0 |
1 |
1 |
14 |
1 |
2 |
5 |
23 |
Opening the Black Box: Task and Skill Mix and Productivity Dispersion |
0 |
0 |
0 |
21 |
0 |
0 |
3 |
37 |
Opening the Black Box: Task and Skill Mix and Productivity Dispersion |
0 |
0 |
0 |
9 |
0 |
2 |
4 |
11 |
Productivity Dispersion, Entry, and Growth in U.S. Manufacturing Industries |
0 |
0 |
0 |
72 |
0 |
0 |
4 |
101 |
Productivity Dispersion, Entry, and Growth in U.S. Manufacturing Industries |
0 |
0 |
2 |
28 |
1 |
2 |
9 |
37 |
REALLOCATION IN THE GREAT RECESSION: CLEANSING OR NOT? |
0 |
0 |
0 |
306 |
0 |
0 |
5 |
3,342 |
Reallocation and Productivity Dynamics in the Appalachian Region |
0 |
0 |
0 |
65 |
0 |
0 |
3 |
483 |
Reallocation in the Great Recession: Cleansing or Not? |
0 |
0 |
0 |
127 |
1 |
3 |
6 |
290 |
Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
2 |
5 |
239 |
1 |
3 |
8 |
773 |
Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
0 |
0 |
359 |
0 |
1 |
16 |
1,059 |
Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
1 |
1 |
202 |
1 |
2 |
6 |
785 |
Resolving the Tension Between Access and Confidentiality: Past Experience and Future Plans at the U.S. Census Bureau |
0 |
0 |
0 |
52 |
0 |
2 |
3 |
177 |
Rising Markups or Changing Technology? |
0 |
0 |
0 |
25 |
1 |
1 |
2 |
72 |
Rising Markups or Changing Technology? |
0 |
0 |
1 |
33 |
0 |
4 |
10 |
101 |
Same-Sex and Opposite-Sex Couples and the Child Penalty |
2 |
4 |
24 |
99 |
4 |
10 |
78 |
200 |
Small Business Pulse Survey Estimates by Owner Characteristics and Rural/Urban Designation |
0 |
2 |
5 |
41 |
2 |
4 |
15 |
142 |
The Annual Survey of Entrepreneurs: An Introduction |
0 |
0 |
2 |
72 |
1 |
2 |
5 |
135 |
The Annual Survey of Entrepreneurs: An Update |
0 |
0 |
1 |
250 |
0 |
1 |
8 |
615 |
The Evolution of National Retail Chains: How We Got Here |
0 |
0 |
0 |
143 |
2 |
2 |
6 |
499 |
The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade |
0 |
0 |
0 |
348 |
0 |
0 |
3 |
890 |
The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade |
0 |
0 |
0 |
376 |
0 |
0 |
5 |
1,105 |
The Management and Organizational Practices Survey (MOPS): An Overview* |
0 |
1 |
3 |
181 |
1 |
3 |
18 |
639 |
The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
0 |
122 |
1 |
2 |
4 |
305 |
The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
1 |
114 |
0 |
2 |
7 |
379 |
The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
0 |
16 |
0 |
0 |
2 |
136 |
The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
0 |
7 |
1 |
1 |
3 |
105 |
The international empirics of management |
0 |
0 |
8 |
8 |
0 |
2 |
9 |
9 |
Tip of the Iceberg: Tip Reporting at U.S. Restaurants, 2005-2018 |
1 |
3 |
9 |
9 |
5 |
10 |
32 |
32 |
Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey |
1 |
6 |
48 |
97 |
7 |
20 |
123 |
223 |
Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey |
2 |
2 |
12 |
23 |
4 |
6 |
27 |
36 |
Using LEHD OPM Data to Identify Ph.D. Economists |
1 |
1 |
4 |
39 |
1 |
2 |
14 |
126 |
Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
259 |
0 |
0 |
0 |
1,059 |
Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
209 |
1 |
1 |
3 |
1,060 |
Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
11 |
1 |
1 |
5 |
228 |
What Drives Differences in Management? |
0 |
0 |
0 |
22 |
1 |
1 |
2 |
88 |
What Drives Differences in Management? |
0 |
0 |
0 |
58 |
1 |
1 |
5 |
156 |
What Drives Differences in Management? |
0 |
0 |
2 |
130 |
0 |
1 |
4 |
337 |
What Drives Differences in Management? |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
92 |
What drives differences in management practices? |
0 |
0 |
1 |
84 |
0 |
0 |
2 |
148 |
What drives differences in management practices? |
0 |
0 |
0 |
71 |
3 |
3 |
5 |
114 |
What drives differences in management? |
0 |
0 |
0 |
203 |
1 |
1 |
10 |
436 |
Total Working Papers |
16 |
53 |
308 |
11,146 |
100 |
253 |
1,247 |
38,835 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A portrait of U.S. firms that invest in R&D |
0 |
0 |
1 |
28 |
1 |
1 |
3 |
70 |
AI adoption in America: Who, what, and where |
0 |
2 |
11 |
13 |
3 |
16 |
44 |
51 |
Advanced Technology Adoption: Selection or Causal Effects? |
0 |
0 |
7 |
47 |
0 |
3 |
32 |
112 |
Chaos Before Order: Productivity Patterns in U.S. Manufacturing |
0 |
0 |
0 |
3 |
0 |
0 |
5 |
25 |
Correction: Technology and productivity growth |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
3 |
Customer‐employee substitution: Evidence from gasoline stations |
1 |
1 |
1 |
4 |
1 |
2 |
4 |
63 |
Dispersion in Dispersion: Measuring Establishment‐Level Differences in Productivity |
0 |
0 |
1 |
3 |
0 |
1 |
8 |
11 |
Diversity and Equity in Labor Market Outcomes for Economists |
0 |
0 |
6 |
6 |
0 |
0 |
13 |
15 |
Early Career Paths of Economists inside and outside of Academia |
0 |
0 |
0 |
13 |
0 |
0 |
9 |
29 |
Employment and Earnings for Federal Government Economists: Empirical Evidence by Gender and Race |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
49 |
Firm-Level Dispersion in Productivity: Is the Devil in the Details? |
0 |
0 |
2 |
139 |
1 |
2 |
9 |
476 |
High-frequency data from the U.S. Census Bureau during the COVID-19 pandemic: small vs. new businesses |
0 |
0 |
0 |
4 |
1 |
1 |
2 |
13 |
Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
1 |
2 |
3 |
29 |
3 |
5 |
9 |
85 |
Market Selection, Reallocation, and Restructuring in the U.S. Retail Trade Sector in the 1990s |
2 |
3 |
9 |
676 |
4 |
12 |
36 |
1,790 |
Measuring Business Trends and Outlook through a New Survey |
0 |
0 |
4 |
10 |
0 |
0 |
9 |
23 |
Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau's Experience |
0 |
0 |
1 |
13 |
0 |
1 |
4 |
36 |
Reallocation in the Great Recession: Cleansing or Not? |
0 |
2 |
7 |
192 |
3 |
7 |
20 |
619 |
Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
2 |
3 |
12 |
1,118 |
5 |
10 |
49 |
2,980 |
Technology and productivity growth |
0 |
1 |
4 |
17 |
0 |
3 |
12 |
50 |
The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
2 |
90 |
3 |
15 |
32 |
346 |
The annual survey of entrepreneurs |
0 |
0 |
0 |
0 |
2 |
2 |
5 |
83 |
The impact of AI on the workforce: Tasks versus jobs? |
6 |
12 |
24 |
24 |
11 |
26 |
55 |
55 |
The international empirics of management |
0 |
3 |
17 |
17 |
0 |
4 |
29 |
29 |
The management and organizational practices survey (MOPS): An overview1 |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
58 |
Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
150 |
1 |
1 |
6 |
590 |
What Drives Differences in Management Practices? |
1 |
1 |
3 |
72 |
4 |
4 |
18 |
447 |
Total Journal Articles |
13 |
30 |
115 |
2,688 |
44 |
118 |
417 |
8,108 |