| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Behavioral Economics View of Poverty |
0 |
1 |
2 |
257 |
1 |
2 |
8 |
515 |
| A Note on the Level of Customer Support by State Governments: A Mystery-Shopping Approach |
0 |
0 |
0 |
5 |
3 |
4 |
5 |
28 |
| Affirmative Action in Education: Evidence From Engineering College Admissions in India |
0 |
0 |
1 |
127 |
1 |
2 |
5 |
665 |
| Agents With and Without Principals |
0 |
0 |
0 |
12 |
1 |
2 |
4 |
109 |
| An Economic Approach to Machine Learning in Health Policy |
0 |
1 |
2 |
58 |
1 |
2 |
8 |
182 |
| An Economic Approach to Regulating Algorithms |
0 |
0 |
0 |
58 |
3 |
5 |
9 |
143 |
| Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination |
1 |
2 |
11 |
799 |
11 |
19 |
58 |
5,693 |
| Are emily and greg more employable than lakisha and jamal? A field experiment on labor market discrimination |
2 |
4 |
16 |
147 |
26 |
53 |
123 |
1,159 |
| Automating Automaticity: How the Context of Human Choice Affects the Extent of Algorithmic Bias |
1 |
1 |
1 |
35 |
2 |
4 |
8 |
79 |
| Behavioral Design: A New Approach to Development Policy |
0 |
0 |
4 |
400 |
0 |
1 |
12 |
617 |
| Behavioral Design: A New Approach to Development Policy |
0 |
0 |
0 |
1 |
8 |
10 |
19 |
23 |
| Behavioral Economics |
2 |
4 |
23 |
2,156 |
9 |
19 |
95 |
5,911 |
| Behavioral Economics and Marketing in Aid of Decision Making Among the Poor |
0 |
0 |
0 |
76 |
0 |
0 |
10 |
295 |
| Behavioral Economics and Tax Policy |
0 |
0 |
1 |
349 |
1 |
5 |
10 |
913 |
| Behavioral Hazard in Health Insurance |
0 |
0 |
1 |
98 |
3 |
3 |
12 |
473 |
| Coarse Thinking and Persuasion |
0 |
0 |
0 |
185 |
1 |
1 |
5 |
876 |
| Coarse Thinking and Persuasion |
0 |
0 |
0 |
12 |
0 |
2 |
6 |
115 |
| Comparison Friction: Experimental Evidence from Medicare Drug Plans |
0 |
0 |
0 |
44 |
2 |
4 |
9 |
190 |
| Comparison Friction: Experimental Evidence from Medicare Drug Plans |
0 |
0 |
0 |
23 |
0 |
4 |
10 |
169 |
| Corruption |
0 |
0 |
1 |
275 |
2 |
2 |
12 |
656 |
| Corruption |
0 |
0 |
0 |
75 |
1 |
3 |
8 |
300 |
| Corruption |
2 |
3 |
5 |
246 |
8 |
13 |
39 |
891 |
| Corruption |
0 |
0 |
1 |
255 |
0 |
3 |
14 |
412 |
| Debt Traps? Market Vendors and Moneylender Debt in India and the Philippines |
0 |
0 |
0 |
21 |
0 |
2 |
3 |
80 |
| Debt Traps? Market Vendors and Moneylender Debt in India and the Philippines |
0 |
2 |
2 |
40 |
0 |
2 |
10 |
132 |
| Debt Traps? Market Vendors and Moneylender Debt in India and the Philippines |
0 |
0 |
0 |
7 |
0 |
0 |
4 |
74 |
| Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care |
0 |
1 |
2 |
123 |
1 |
3 |
15 |
246 |
| Discrimination In The Age Of Algorithms |
0 |
1 |
5 |
88 |
2 |
9 |
27 |
226 |
| Do CEOs Set Their Own Pay? The Ones Without Principals Do |
0 |
0 |
0 |
14 |
1 |
2 |
4 |
183 |
| Do CEOs Set Their Own Pay? The Ones Without Principals Do |
0 |
0 |
1 |
364 |
1 |
2 |
8 |
1,352 |
| Do Cigarette Taxes Make Smokers Happier? |
0 |
0 |
3 |
434 |
6 |
7 |
12 |
1,746 |
| Do Financial Concerns Make Workers Less Productive? |
0 |
0 |
1 |
56 |
4 |
12 |
36 |
145 |
| Do Financial Concerns Make Workers Less Productive? |
0 |
0 |
4 |
47 |
2 |
3 |
15 |
172 |
| Do Test Scores Misrepresent Test Results? An Item-by-Item Analysis |
0 |
0 |
0 |
0 |
2 |
2 |
2 |
2 |
| Does Corruption Produce Unsafe Drivers? |
0 |
0 |
1 |
117 |
6 |
6 |
12 |
615 |
| Does corruption produce unsafe drivers? |
0 |
0 |
0 |
21 |
2 |
2 |
7 |
132 |
| Energy Policy with Externalities and Internalities |
0 |
2 |
2 |
92 |
2 |
4 |
12 |
344 |
| Enjoying the Quiet Life? Corporate Governance and Managerial Preferences |
2 |
2 |
9 |
273 |
4 |
7 |
25 |
772 |
| Executive Compensation and Incentives: The Impact of Takeover Legislation |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
140 |
| Executive Compensation and Incentives: The Impact of Takeover Legislation |
0 |
1 |
1 |
278 |
11 |
24 |
38 |
1,760 |
| Executive Compensation and Incentives: The Impact of Takeover Legislation |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
599 |
| Executive Compensation and Incentives: the Impact of Takeover Legislation |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
979 |
| Ferreting Out Tunneling: An Application to Indian Business Groups |
0 |
0 |
0 |
392 |
4 |
5 |
11 |
1,460 |
| Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System |
0 |
0 |
0 |
24 |
0 |
1 |
4 |
113 |
| Framing Lifetime Income |
0 |
0 |
0 |
117 |
1 |
2 |
7 |
314 |
| From Predictive Algorithms to Automatic Generation of Anomalies |
0 |
0 |
3 |
11 |
1 |
3 |
8 |
13 |
| From Predictive Algorithms to Automatic Generation of Anomalies |
0 |
0 |
0 |
2 |
3 |
3 |
5 |
17 |
| Getting to the Top of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
55 |
0 |
1 |
3 |
271 |
| Getting to the Top of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
3 |
1 |
3 |
7 |
138 |
| Getting to the Top of Mind: How Reminders Increase Saving |
1 |
1 |
1 |
91 |
4 |
7 |
11 |
431 |
| Getting to the Top of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
14 |
4 |
5 |
6 |
181 |
| Getting to the Top of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
240 |
10 |
21 |
30 |
1,293 |
| Getting to the Top of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
24 |
4 |
5 |
8 |
239 |
| Getting to theTop of Mind: How Reminders Increase Saving |
0 |
0 |
0 |
31 |
0 |
1 |
3 |
248 |
| How Much Should We Trust Differences-in-Differences Estimates? |
1 |
3 |
12 |
1,850 |
31 |
46 |
89 |
5,664 |
| Human Decisions and Machine Predictions |
0 |
0 |
0 |
136 |
4 |
6 |
15 |
452 |
| Is There Discretion in Wage Setting? A Test Using Takeover Legislation |
0 |
0 |
0 |
45 |
0 |
0 |
3 |
329 |
| Is There Discretion in Wage Setting? A Test Using Takeover Legislation |
0 |
0 |
0 |
39 |
2 |
3 |
5 |
381 |
| Is there Discretion in Wage Setting? A Test Using Takeover Legislation |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
418 |
| Is there Discretion in Wage Setting? A Test Using Takeover Legislation |
0 |
0 |
0 |
0 |
0 |
2 |
3 |
326 |
| Large Language Models: An Applied Econometric Framework |
0 |
1 |
23 |
23 |
4 |
16 |
85 |
85 |
| Large Language Models: An Applied Econometric Framework |
0 |
2 |
51 |
51 |
7 |
21 |
100 |
100 |
| Learning Through Noticing: Theory and Experimental Evidence in Farming |
0 |
0 |
0 |
65 |
0 |
4 |
8 |
262 |
| Learning Through Noticing: Theory and Experimental Evidence in Farming |
0 |
0 |
0 |
7 |
2 |
4 |
7 |
84 |
| Learning through Noticing: Theory and Experimental Evidence in Farming |
0 |
0 |
0 |
44 |
3 |
6 |
7 |
111 |
| Limited Attention and Income Distribution |
0 |
0 |
1 |
55 |
2 |
4 |
11 |
212 |
| Machine Learning as a Tool for Hypothesis Generation |
0 |
0 |
0 |
68 |
1 |
4 |
13 |
85 |
| Machine-Learning Tests for Effects on Multiple Outcomes |
0 |
0 |
1 |
60 |
1 |
1 |
10 |
113 |
| Measuring the Completeness of Theories |
0 |
0 |
0 |
27 |
2 |
2 |
6 |
57 |
| Mechanism Experiments and Policy Evaluations |
0 |
0 |
1 |
89 |
0 |
0 |
3 |
306 |
| Media Bias |
0 |
0 |
0 |
181 |
2 |
4 |
9 |
642 |
| Media Bias |
0 |
0 |
3 |
553 |
2 |
3 |
16 |
3,746 |
| Megastudies Improve the Impact of Applied Behavioural Science |
0 |
0 |
2 |
43 |
2 |
4 |
15 |
141 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
856 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
39 |
5 |
6 |
13 |
335 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
0 |
0 |
4 |
5 |
500 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
23 |
0 |
0 |
1 |
180 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
132 |
1 |
1 |
2 |
801 |
| Network Effects and Welfare Cultures |
0 |
0 |
0 |
266 |
3 |
4 |
7 |
1,235 |
| Notes on Behavioral Economics and Labor Market Policy |
0 |
0 |
0 |
51 |
2 |
5 |
8 |
159 |
| Persuasion in Finance |
0 |
7 |
21 |
401 |
14 |
44 |
103 |
1,536 |
| Profitable Investments or Dissipated Cash? Evidence on the Investment-Cash Flow Relationship From Oil and Gas Lease Bidding |
0 |
0 |
1 |
87 |
7 |
18 |
32 |
536 |
| Profitable Investments or Dissipated Cash?: Evidence on the Investment-Cash Flow Relationship From Oil and Gas Lease Bidding |
0 |
0 |
0 |
57 |
1 |
1 |
1 |
410 |
| Public Policy and Extended Families: Evidence from South Africa |
0 |
0 |
0 |
176 |
2 |
3 |
4 |
1,470 |
| Public Policy and Extended Families: Evidence from South Africa |
0 |
0 |
0 |
32 |
0 |
1 |
2 |
184 |
| Scarcity and Cognitive Function around Payday: A Conceptual and Empirical Analysis |
0 |
2 |
5 |
47 |
1 |
6 |
17 |
161 |
| Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability |
0 |
0 |
0 |
37 |
1 |
3 |
16 |
101 |
| Site Selection Bias in Program Evaluation |
0 |
0 |
1 |
78 |
7 |
9 |
15 |
281 |
| Sticking with Your Vote: Cognitive Dissonance Voting |
0 |
0 |
0 |
45 |
1 |
2 |
5 |
212 |
| Sticking with Your Vote: Cognitive Dissonance and Voting |
0 |
0 |
4 |
136 |
3 |
6 |
22 |
512 |
| The Market for Financial Advice: An Audit Study |
0 |
0 |
0 |
103 |
2 |
8 |
16 |
444 |
| The Market for News |
1 |
1 |
2 |
3 |
3 |
10 |
14 |
21 |
| The Nature of the Beast: What Behavioral Economics is Not |
0 |
0 |
0 |
98 |
1 |
1 |
3 |
216 |
| The Shape of Temptation: Implications for the Economic Lives of the Poor |
0 |
1 |
2 |
67 |
3 |
4 |
7 |
234 |
| The Shape of Temptation: Implications for the Economic Lives of the Poor |
0 |
0 |
2 |
61 |
0 |
2 |
9 |
250 |
| The Shape of Temptation: Implications for the Economic Lives of the Poor |
1 |
4 |
15 |
393 |
21 |
57 |
145 |
1,930 |
| The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness |
0 |
0 |
0 |
9 |
0 |
3 |
5 |
31 |
| The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness |
0 |
0 |
1 |
20 |
2 |
2 |
7 |
70 |
| The Unreasonable Effectiveness of Algorithms |
0 |
0 |
4 |
10 |
1 |
2 |
14 |
33 |
| Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago |
0 |
1 |
4 |
87 |
1 |
4 |
18 |
259 |
| What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment |
0 |
0 |
1 |
18 |
1 |
2 |
7 |
173 |
| What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment |
1 |
1 |
1 |
93 |
3 |
3 |
6 |
333 |
| What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment |
0 |
0 |
1 |
193 |
0 |
3 |
10 |
1,122 |
| What's Psychology Worth? A Field Experiment in the Consumer Credit Market |
0 |
0 |
0 |
168 |
1 |
1 |
4 |
1,249 |
| What's Psychology Worth? A Field Experiment in the Consumer Credit Market |
0 |
0 |
0 |
406 |
4 |
10 |
16 |
2,159 |
| What's Psychology Worth? A Field Experiment in the Consumer Credit Market |
0 |
0 |
1 |
10 |
1 |
2 |
7 |
98 |
| What's psychology worth? A field experiment in the consumer credit market |
0 |
0 |
0 |
30 |
5 |
6 |
11 |
212 |
| Why Don't People Insure Late Life Consumption: A Framing Explanation of the Under-Annuitization Puzzle |
0 |
0 |
0 |
194 |
9 |
11 |
17 |
851 |
| Why Don't People Insure Late Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle |
0 |
0 |
0 |
21 |
1 |
2 |
5 |
168 |
| Total Working Papers |
15 |
49 |
264 |
15,635 |
335 |
686 |
1,810 |
67,667 |
| Journal Article |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A 680,000-person megastudy of nudges to encourage vaccination in pharmacies |
0 |
0 |
1 |
4 |
2 |
2 |
6 |
26 |
| A Behavioral-Economics View of Poverty |
0 |
1 |
3 |
661 |
3 |
5 |
12 |
1,641 |
| A Memory-Based Model of Bounded Rationality |
0 |
0 |
4 |
530 |
2 |
6 |
20 |
1,627 |
| A Reduced-Form Approach to Behavioral Public Finance |
0 |
0 |
0 |
77 |
1 |
1 |
2 |
265 |
| Affirmative action in education: Evidence from engineering college admissions in India |
2 |
3 |
14 |
243 |
9 |
15 |
87 |
1,164 |
| Agents with and without Principals |
0 |
0 |
0 |
142 |
0 |
0 |
3 |
678 |
| Algorithmic Fairness |
3 |
4 |
16 |
67 |
8 |
13 |
38 |
194 |
| An Economic Perspective on Algorithmic Fairness |
0 |
0 |
7 |
120 |
0 |
1 |
14 |
255 |
| An exercise in self-replication: Replicating Shah, Mullainathan, and Shafir (2012) |
0 |
0 |
0 |
21 |
1 |
2 |
12 |
120 |
| An opportunity for self-replication |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
5 |
| Are CEOs Rewarded for Luck? The Ones Without Principals Are |
1 |
4 |
13 |
778 |
4 |
12 |
53 |
2,161 |
| Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination |
3 |
8 |
53 |
2,114 |
47 |
107 |
427 |
11,765 |
| Augmenting Pre-Analysis Plans with Machine Learning |
0 |
0 |
2 |
67 |
2 |
3 |
11 |
182 |
| Behavioral Design: A New Approach to Development Policy |
0 |
1 |
5 |
58 |
1 |
7 |
16 |
246 |
| Behavioral Economics and Tax Policy |
0 |
0 |
4 |
215 |
1 |
4 |
19 |
686 |
| Behavioral Hazard in Health Insurance |
0 |
1 |
3 |
72 |
1 |
2 |
13 |
393 |
| Coarse Thinking and Persuasion |
0 |
1 |
2 |
202 |
2 |
6 |
14 |
880 |
| Comparison Friction: Experimental Evidence from Medicare Drug Plans |
0 |
0 |
1 |
67 |
1 |
3 |
11 |
396 |
| Debt Traps? Market Vendors and Moneylender Debt in India and the Philippines |
0 |
1 |
2 |
17 |
2 |
3 |
6 |
111 |
| Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care |
1 |
5 |
9 |
37 |
9 |
21 |
63 |
143 |
| Do Cigarette Taxes Make Smokers Happier |
3 |
5 |
15 |
691 |
7 |
17 |
49 |
2,391 |
| Do Firm Boundaries Matter? |
0 |
0 |
0 |
111 |
1 |
4 |
7 |
389 |
| Do Judges Vary in Their Treatment of Race? |
0 |
0 |
1 |
55 |
10 |
12 |
18 |
275 |
| Do People Mean What They Say? Implications for Subjective Survey Data |
0 |
1 |
10 |
742 |
4 |
8 |
24 |
2,668 |
| Does Machine Learning Automate Moral Hazard and Error? |
0 |
0 |
0 |
55 |
2 |
3 |
13 |
287 |
| Energy policy with externalities and internalities |
0 |
1 |
7 |
146 |
4 |
9 |
32 |
539 |
| Enjoying the Quiet Life? Corporate Governance and Managerial Preferences |
3 |
5 |
24 |
859 |
12 |
26 |
110 |
2,290 |
| Erratum: Self-Control at Work |
0 |
2 |
2 |
10 |
2 |
4 |
9 |
39 |
| Ferreting out Tunneling: An Application to Indian Business Groups |
0 |
0 |
4 |
482 |
4 |
7 |
26 |
1,814 |
| Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System |
0 |
0 |
0 |
17 |
3 |
6 |
12 |
91 |
| Helping Consumers Know Themselves |
0 |
0 |
0 |
105 |
4 |
5 |
5 |
445 |
| How Much Should We Trust Differences-In-Differences Estimates? |
11 |
27 |
87 |
3,572 |
61 |
136 |
342 |
10,201 |
| Human Decisions and Machine Predictions |
0 |
4 |
14 |
234 |
11 |
30 |
97 |
1,261 |
| Human bias in algorithm design |
0 |
0 |
6 |
52 |
3 |
5 |
34 |
108 |
| Implicit Discrimination |
0 |
0 |
8 |
447 |
1 |
4 |
19 |
1,380 |
| Integrating explanation and prediction in computational social science |
0 |
0 |
9 |
39 |
1 |
2 |
24 |
89 |
| Is There a Discretion in Wage Setting? A Test Using Takeover Legislation |
0 |
0 |
1 |
83 |
1 |
2 |
10 |
503 |
| Labor market discrimination in Delhi: Evidence from a field experiment |
0 |
2 |
6 |
134 |
4 |
14 |
36 |
548 |
| Learning Through Noticing: Theory and Evidence from a Field Experiment |
0 |
0 |
0 |
57 |
0 |
0 |
8 |
259 |
| Limited Attention and Income Distribution |
0 |
0 |
1 |
111 |
3 |
5 |
11 |
349 |
| Machine Learning as a Tool for Hypothesis Generation* |
2 |
3 |
16 |
48 |
9 |
19 |
78 |
191 |
| Machine Learning: An Applied Econometric Approach |
3 |
4 |
9 |
258 |
9 |
14 |
30 |
848 |
| Market Efficiency versus Behavioral Finance |
0 |
0 |
2 |
196 |
1 |
5 |
14 |
507 |
| Measuring the Completeness of Economic Models |
1 |
2 |
4 |
19 |
3 |
5 |
14 |
91 |
| Mechanism Experiments and Policy Evaluations |
0 |
0 |
1 |
194 |
4 |
5 |
11 |
628 |
| Megastudies improve the impact of applied behavioural science |
0 |
0 |
0 |
12 |
0 |
2 |
9 |
77 |
| Network Effects and Welfare Cultures |
0 |
0 |
2 |
480 |
3 |
3 |
12 |
1,605 |
| Notes on behavioral economics and labor market policy |
0 |
1 |
2 |
53 |
2 |
5 |
8 |
220 |
| Obtaining a Driver's License in India: An Experimental Approach to Studying Corruption |
0 |
0 |
3 |
467 |
4 |
5 |
18 |
2,823 |
| On the Inequity of Predicting A While Hoping for B |
0 |
0 |
0 |
42 |
2 |
2 |
2 |
94 |
| Prediction Policy Problems |
0 |
1 |
3 |
111 |
8 |
11 |
28 |
499 |
| Productivity and Selection of Human Capital with Machine Learning |
1 |
1 |
7 |
143 |
6 |
8 |
21 |
477 |
| Psychology, Behavioral Economics, and Public Policy |
0 |
0 |
0 |
197 |
0 |
0 |
4 |
622 |
| Public Policy and Extended Families: Evidence from Pensions in South Africa |
0 |
0 |
0 |
1 |
1 |
4 |
9 |
955 |
| Pyramids |
0 |
0 |
1 |
42 |
0 |
3 |
6 |
174 |
| Scarcity and Cognitive Function around Payday: A Conceptual and Empirical Analysis |
0 |
3 |
10 |
21 |
3 |
9 |
30 |
86 |
| Self-Control and the Development of Work Arrangements |
0 |
0 |
0 |
114 |
5 |
6 |
14 |
376 |
| Self-Control at Work |
3 |
6 |
8 |
184 |
14 |
20 |
37 |
668 |
| Sticking with Your Vote: Cognitive Dissonance and Political Attitudes |
0 |
0 |
0 |
204 |
7 |
10 |
19 |
822 |
| Targeting with Agents |
0 |
0 |
1 |
27 |
2 |
3 |
7 |
180 |
| The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization |
0 |
0 |
1 |
1 |
0 |
2 |
10 |
11 |
| The Market for News |
2 |
2 |
3 |
374 |
6 |
7 |
27 |
1,583 |
| The Psychological Lives of the Poor |
1 |
2 |
5 |
52 |
3 |
6 |
17 |
284 |
| The Unreasonable Effectiveness of Algorithms |
0 |
0 |
1 |
2 |
1 |
3 |
7 |
12 |
| Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago |
1 |
2 |
5 |
56 |
2 |
5 |
19 |
365 |
| What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment |
0 |
0 |
4 |
113 |
2 |
4 |
17 |
447 |
| Why Don’t People Insure Late-Life Consumption? A Framing Explanation of the Under-Annuitization Puzzle |
0 |
0 |
1 |
116 |
0 |
5 |
17 |
530 |
| Total Journal Articles |
41 |
103 |
423 |
17,021 |
332 |
685 |
2,200 |
64,039 |