| ardl: Estimating autoregressive distributed lag and equilibrium correction models S Kripfganz, DC Schneider The Stata Journal 23 (4), 983-1019, 2023 | 329* | 2023 |
| Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models S Kripfganz, DC Schneider Oxford Bulletin of Economics and Statistics 82 (6), 1456-1481, 2020 | 307 | 2020 |
| Estimation of linear dynamic panel data models with time‐invariant regressors S Kripfganz, C Schwarz Journal of Applied Econometrics 34 (4), 526-546, 2019 | 173 | 2019 |
| Quasi-maximum likelihood estimation of linear dynamic short-T panel-data models S Kripfganz The Stata Journal 16 (4), 1013-1038, 2016 | 142* | 2016 |
| Generalized method of moments estimation of linear dynamic panel data models S Kripfganz London Stata Conference 2019, 2019 | 123* | 2019 |
| Bias-corrected method of moments estimators for dynamic panel data models J Breitung, S Kripfganz, K Hayakawa Econometrics and Statistics 24, 116-132, 2022 | 51 | 2022 |
| kinkyreg: Instrument-free inference for linear regression models with endogenous regressors S Kripfganz, JF Kiviet The Stata Journal 21 (3), 772-813, 2021 | 47 | 2021 |
| Instrumental-variable estimation of large-T panel-data models with common factors S Kripfganz, V Sarafidis The Stata Journal 21 (3), 659-686, 2021 | 40 | 2021 |
| Sequential (two-stage) estimation of linear panel data models S Kripfganz German Stata Users Group Meeting 2017, 2017 | 36 | 2017 |
| Instrument approval by the Sargan test and its consequences for coefficient estimation JF Kiviet, S Kripfganz Economics Letters 205, 109935, 2021 | 19 | 2021 |
| Reassessment of classic case studies in labor economics with new instrument-free methods JF Kiviet, S Kripfganz | 8 | 2020 |
| Unconditional transformed likelihood estimation of time-space dynamic panel data models S Kripfganz Jahrestagung des Vereins für Socialpolitik 2014: Evidenzbasierte …, 2014 | 5 | 2014 |
| Bias-corrected estimation of linear dynamic panel data models S Kripfganz, J Breitung London Stata Conference 2022, 2022 | 4 | 2022 |
| Determinants and output growth effects of debt distress M Binder, S Kripfganz, T Stucka CESifo Area Conference on Macro, Money and International Finance, 2015 | 2 | 2015 |
| Matrix powers and marginal effects in spatial autoregressive models S Kripfganz | 1 | 2015 |
| Review of A. Colin Cameron and Pravin K. Trivedi’s Microeconometrics Using Stata S Kripfganz The Stata Journal 23 (4), 1062-1073, 2023 | | 2023 |
| On the shoulders of giants: Writing wrapper commands in Stata S Kripfganz UK Stata Conference 2023, 2023 | | 2023 |
| Regional dependencies and local spillovers: Insights from commuter flows K Melanie, K Sebastian TUPD Discussion Papers, 1-50, 2023 | | 2023 |
| Advances in Dynamic Panel Data and Spatial Econometrics S Kripfganz Goethe University Frankfurt, 2015 | | 2015 |
| Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata S Kripfganz, V Sarafidis | | |
Jan F. KivietEmeritus professor of econometrics (Univerity of Amsterdam)Verified email at uva.nl
