Mark E. Schaffer
About
In The Last Decade
Mark E. Schaffer
69 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Economics and Econometrics 2.7k
- Accounting 1.0k
- Sociology and Political Science 902
- General Economics, Econometrics and Finance 872
- Strategy and Management 728
Countries citing papers authored by Mark E. Schaffer
This map shows the geographic impact of Mark E. Schaffer'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 Mark E. Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Schaffer more than expected).
Fields of papers citing papers by Mark E. Schaffer
This network shows the impact of papers produced by Mark E. Schaffer. 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 Mark E. Schaffer. The network helps show where Mark E. Schaffer may publish in the future.
Co-authorship network of co-authors of Mark E. Schaffer
This figure shows the co-authorship network connecting the top 25 collaborators of Mark E. Schaffer. A scholar is included among the top collaborators of Mark E. Schaffer 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 Mark E. Schaffer. Mark E. Schaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation | 13 |
| 6 | LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression | 4 |
| 7 | IVREG2: Stata module for extended instrumental variables/2SLS and GMM estimation | 51 |
| 8 | A framework for cross-country comparisons of public infrastructure constraints on firm growth | 12 |
| 9 | RANKTEST: Stata module to test the rank of a matrix using the Kleibergen-Paap rk statistic | 22 |
| 10 | Where are the Real Bottlenecks? A Lagrangian Approach to Identifying Constraints on Growth from Subjective Survey Data | 37 |
| 11 | XTOVERID: Stata module to calculate tests of overidentifying restrictions after xtreg, xtivreg, xtivreg2, xthtaylor | 152 |
| 12 | Productivity, Ownership and the Investment Climate: International Lessons for Priorities in Serbia | 1 |
| 13 | XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models | 215 |
| 14 | Competition, restructuring and firm performance: evidence of an inverted-U relationship from a cross-country survey of firms in transition economies | 7 |
| 15 | Effective versus statutory taxation Measuring effective tax administration in transition economies | 1 |
| 16 | Wage Determination in Russia: An Econometric Investigation | 1 |
| 17 | "Should We be Worried about the Use of Trade Credit and Non-Monetary Transactions in Transition Economies?" | 5 |
| 18 | The provision of social benefits in state-owned, privatized and private firms in Poland | 8 |
| 19 | Bezrodocie I wolne miejsca pracy a struktura zatrudnienia w Polsce. Analyza Regionalna (Unemployment and Vacancies and the Employment Structure in Poland : A Regional Analysis) | 6 |
| 20 | 203 |
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.