Thomas J. Smith

Finance · with Gepp · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Finance — 14 citations into it
• Economics and Econometrics — 13 citations into it
• Information Systems — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Thomas J. Smith trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nathan Nunn
2. Angus Deaton
3. Paul C. Tetlock

Papers from Thomas J. Smith's perspective

Ordered by how strongly the researchers Thomas J. Smith trusts endorse each paper. Same corpus, a different order for every researcher.

1. Quantifying Trading Behavior in Financial Markets Using Google Trends
2. A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
3. The Long-Term Effects of Africa's Slave Trades
4. When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks
5. Giving Content to Investor Sentiment: The Role of Media in the Stock Market
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
7. Instruments, Randomization, and Learning about Development
8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
9. Estimation and inference in econometrics
10. The central role of the propensity score in observational studies for causal effects

Their papers

• Big data techniques in auditing research and practice: Current trends and future opportunities (2018) — 323 citations
• Endogeneity in Accounting and Finance Research: Natural Experiments as a State-of-the-Art Solution (2015) — 120 citations