| 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 |
2 |
7 |
148 |
1 |
10 |
24 |
328 |
| AI Adoption in America: Who, What, and Where |
1 |
6 |
24 |
100 |
5 |
17 |
92 |
260 |
| AI Adoption in America: Who, What, and Where |
1 |
1 |
4 |
39 |
1 |
2 |
14 |
58 |
| Addressing Data Gaps: Four New Lines of Inquiry in the 2017 Economic Census |
0 |
0 |
3 |
56 |
2 |
2 |
9 |
222 |
| Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey |
3 |
5 |
20 |
113 |
9 |
28 |
93 |
365 |
| Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey |
0 |
1 |
9 |
74 |
1 |
8 |
42 |
237 |
| Aggregate Productivity Growth: Lessons From Microeconomic Evidence |
0 |
1 |
3 |
665 |
1 |
3 |
7 |
2,177 |
| Aggregate Productivity Growth: Lessons from Microeconomic Evidence |
0 |
0 |
0 |
945 |
0 |
3 |
12 |
3,025 |
| An Analysis of Key Differences in Micro Data: Results from the Business List Comparison Project |
0 |
0 |
0 |
62 |
0 |
0 |
0 |
194 |
| Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey |
0 |
0 |
3 |
29 |
2 |
4 |
16 |
63 |
| Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey |
3 |
7 |
27 |
248 |
6 |
22 |
110 |
602 |
| Business-Level Expectations and Uncertainty |
1 |
1 |
1 |
14 |
3 |
3 |
3 |
56 |
| Business-Level Expectations and Uncertainty |
1 |
1 |
1 |
12 |
2 |
3 |
8 |
60 |
| Business-Level Expectations and Uncertainty |
0 |
0 |
0 |
6 |
1 |
1 |
1 |
17 |
| 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 |
1 |
2 |
4 |
157 |
| Dispersion in Dispersion: Measuring Establishment-Level Differences In Productivity |
0 |
0 |
0 |
13 |
0 |
0 |
2 |
28 |
| Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity |
0 |
0 |
1 |
1 |
0 |
1 |
4 |
13 |
| Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity |
0 |
0 |
2 |
206 |
2 |
4 |
26 |
816 |
| Diversity and Labor Market Outcomes in the Economics Profession |
0 |
0 |
4 |
52 |
1 |
3 |
19 |
131 |
| 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 |
25 |
25 |
1 |
1 |
79 |
79 |
| Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database |
0 |
1 |
7 |
7 |
0 |
3 |
14 |
14 |
| Financing, Ownership, and Performance: A Novel, Longitudinal Firm-Level Database |
0 |
1 |
4 |
4 |
1 |
2 |
8 |
8 |
| Gross Job Flows for the U.S. Manufacturing Sector: Measurement from the Longitudinal Research Database |
0 |
0 |
1 |
189 |
4 |
5 |
6 |
790 |
| High Frequency Business Dynamics in the United States During the COVID-19 Pandemic |
0 |
0 |
3 |
94 |
0 |
7 |
17 |
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 |
7 |
229 |
| IT and management in America |
0 |
0 |
1 |
34 |
0 |
0 |
3 |
73 |
| 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 |
1 |
184 |
0 |
0 |
8 |
413 |
| Innovation, Productivity Dispersion, and Productivity Growth |
0 |
0 |
0 |
127 |
0 |
2 |
3 |
190 |
| Investment and Subjective Uncertainty |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
6 |
| Investment and Subjective Uncertainty |
0 |
0 |
0 |
11 |
1 |
4 |
6 |
31 |
| Investment and Subjective Uncertainty |
1 |
1 |
1 |
12 |
1 |
1 |
1 |
26 |
| Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
0 |
0 |
0 |
98 |
0 |
0 |
3 |
142 |
| Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
0 |
0 |
1 |
102 |
1 |
1 |
10 |
212 |
| Management in America |
1 |
3 |
6 |
265 |
2 |
6 |
20 |
900 |
| Measuring the Effect of COVID-19 on U.S. Small Businesses: The Small Business Pulse Survey |
0 |
3 |
9 |
1,709 |
4 |
17 |
47 |
7,579 |
| 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 |
2 |
5 |
22 |
| 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 |
2 |
2 |
4 |
11 |
| Opening the Black Box: Task and Skill Mix and Productivity Dispersion |
1 |
1 |
1 |
14 |
1 |
2 |
4 |
22 |
| Productivity Dispersion, Entry, and Growth in U.S. Manufacturing Industries |
0 |
0 |
2 |
28 |
0 |
3 |
9 |
36 |
| Productivity Dispersion, Entry, and Growth in U.S. Manufacturing Industries |
0 |
0 |
0 |
72 |
0 |
0 |
4 |
101 |
| 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 |
0 |
2 |
5 |
289 |
| Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
1 |
2 |
202 |
0 |
1 |
6 |
784 |
| Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
0 |
1 |
359 |
1 |
3 |
19 |
1,059 |
| Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
2 |
5 |
239 |
0 |
2 |
7 |
772 |
| Resolving the Tension Between Access and Confidentiality: Past Experience and Future Plans at the U.S. Census Bureau |
0 |
0 |
1 |
52 |
1 |
2 |
4 |
177 |
| Rising Markups or Changing Technology? |
0 |
0 |
1 |
33 |
1 |
4 |
11 |
101 |
| Rising Markups or Changing Technology? |
0 |
0 |
0 |
25 |
0 |
0 |
3 |
71 |
| Same-Sex Couples and the Child Earnings Penalty |
1 |
4 |
24 |
97 |
3 |
14 |
82 |
196 |
| Small Business Pulse Survey Estimates by Owner Characteristics and Rural/Urban Designation |
1 |
3 |
5 |
41 |
1 |
4 |
13 |
140 |
| The Annual Survey of Entrepreneurs: An Introduction |
0 |
0 |
2 |
72 |
1 |
1 |
4 |
134 |
| The Annual Survey of Entrepreneurs: An Update |
0 |
0 |
2 |
250 |
1 |
1 |
10 |
615 |
| The Evolution of National Retail Chains: How We Got Here |
0 |
0 |
0 |
143 |
0 |
0 |
4 |
497 |
| The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade |
0 |
0 |
0 |
376 |
0 |
2 |
7 |
1,105 |
| The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade |
0 |
0 |
0 |
348 |
0 |
0 |
4 |
890 |
| The Management and Organizational Practices Survey (MOPS): An Overview* |
1 |
1 |
3 |
181 |
2 |
2 |
18 |
638 |
| 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 |
122 |
0 |
1 |
3 |
304 |
| The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
1 |
114 |
1 |
3 |
7 |
379 |
| The Slow Growth of New Plants: Learning about Demand? |
0 |
0 |
0 |
7 |
0 |
0 |
3 |
104 |
| The international empirics of management |
0 |
0 |
8 |
8 |
1 |
2 |
9 |
9 |
| Tip of the Iceberg: Tip Reporting at U.S. Restaurants, 2005-2018 |
2 |
2 |
8 |
8 |
5 |
8 |
27 |
27 |
| Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey |
0 |
2 |
16 |
21 |
2 |
7 |
26 |
32 |
| Tracking Firm Use of AI in Real Time: A Snapshot from the Business Trends and Outlook Survey |
3 |
11 |
53 |
96 |
7 |
25 |
137 |
216 |
| Using LEHD OPM Data to Identify Ph.D. Economists |
0 |
1 |
3 |
38 |
0 |
2 |
13 |
125 |
| Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
209 |
0 |
0 |
2 |
1,059 |
| 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 |
11 |
0 |
1 |
4 |
227 |
| What Drives Differences in Management? |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
92 |
| What Drives Differences in Management? |
0 |
0 |
2 |
130 |
1 |
1 |
4 |
337 |
| What Drives Differences in Management? |
0 |
0 |
0 |
58 |
0 |
1 |
4 |
155 |
| What Drives Differences in Management? |
0 |
0 |
0 |
22 |
0 |
0 |
1 |
87 |
| What drives differences in management practices? |
0 |
0 |
0 |
71 |
0 |
0 |
2 |
111 |
| What drives differences in management practices? |
0 |
0 |
1 |
84 |
0 |
0 |
2 |
148 |
| What drives differences in management? |
0 |
0 |
0 |
203 |
0 |
0 |
10 |
435 |
| Total Working Papers |
22 |
64 |
319 |
11,130 |
85 |
266 |
1,233 |
38,735 |
| 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 |
0 |
0 |
2 |
69 |
| AI adoption in America: Who, what, and where |
1 |
3 |
11 |
13 |
5 |
16 |
41 |
48 |
| Advanced Technology Adoption: Selection or Causal Effects? |
0 |
0 |
8 |
47 |
0 |
7 |
33 |
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 |
1 |
1 |
3 |
| Customer‐employee substitution: Evidence from gasoline stations |
0 |
0 |
0 |
3 |
1 |
1 |
3 |
62 |
| Dispersion in Dispersion: Measuring Establishment‐Level Differences in Productivity |
0 |
0 |
1 |
3 |
0 |
2 |
8 |
11 |
| Diversity and Equity in Labor Market Outcomes for Economists |
0 |
0 |
6 |
6 |
0 |
1 |
13 |
15 |
| Early Career Paths of Economists inside and outside of Academia |
0 |
0 |
1 |
13 |
0 |
1 |
12 |
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 |
1 |
9 |
475 |
| High-frequency data from the U.S. Census Bureau during the COVID-19 pandemic: small vs. new businesses |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
12 |
| Macro and Micro Dynamics of Productivity: From Devilish Details to Insights |
0 |
1 |
3 |
28 |
1 |
3 |
7 |
82 |
| Market Selection, Reallocation, and Restructuring in the U.S. Retail Trade Sector in the 1990s |
0 |
1 |
7 |
674 |
5 |
10 |
33 |
1,786 |
| Measuring Business Trends and Outlook through a New Survey |
0 |
2 |
4 |
10 |
0 |
3 |
9 |
23 |
| Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau's Experience |
0 |
1 |
1 |
13 |
0 |
2 |
4 |
36 |
| Reallocation in the Great Recession: Cleansing or Not? |
2 |
2 |
8 |
192 |
3 |
4 |
19 |
616 |
| Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability? |
0 |
1 |
10 |
1,116 |
1 |
9 |
46 |
2,975 |
| Technology and productivity growth |
1 |
1 |
5 |
17 |
2 |
5 |
14 |
50 |
| The Slow Growth of New Plants: Learning about Demand? |
0 |
1 |
3 |
90 |
1 |
14 |
31 |
343 |
| The annual survey of entrepreneurs |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
81 |
| The impact of AI on the workforce: Tasks versus jobs? |
5 |
10 |
18 |
18 |
9 |
22 |
44 |
44 |
| The international empirics of management |
0 |
4 |
17 |
17 |
1 |
5 |
29 |
29 |
| The management and organizational practices survey (MOPS): An overview1 |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
57 |
| Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment |
0 |
0 |
0 |
150 |
0 |
1 |
5 |
589 |
| What Drives Differences in Management Practices? |
0 |
1 |
3 |
71 |
0 |
1 |
15 |
443 |
| Total Journal Articles |
9 |
28 |
109 |
2,675 |
31 |
111 |
389 |
8,064 |
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