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Heteroskedasticity and Spatiotemporal Dependence Robust Inference for Linear Panel Models with Fixed Effects
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Cited by:
- Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
- Javier Hidalgo & Marcia M Schafgans, 2015. "Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence," STICERD - Econometrics Paper Series /2015/583, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
- Dayton M. Lambert, 2020. "Dynamic panel estimation of a regional adjustment model with spatial-temporal robust covariance," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 245-265, December.
- Gupta, Abhimanyu, 2018.
"Autoregressive spatial spectral estimates,"
Journal of Econometrics, Elsevier, vol. 203(1), pages 80-95.
- Gupta, A, 2015. "Autoregressive Spatial Spectral Estimates," Economics Discussion Papers 23825, University of Essex, Department of Economics.
- Hwang, Jungbin & Sun, Yixiao, 2018.
"Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework,"
Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
- Hwang, Jungbin & Sun, Yixiao, 2015. "Should We Go One Step Further? An Accurate Comparison of One-step and Two-step Procedures in a Generalized Method of Moments Framework," University of California at San Diego, Economics Working Paper Series qt58r2z98m, Department of Economics, UC San Diego.
- Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2020.
"Asymptotic F tests under possibly weak identification,"
Journal of Econometrics, Elsevier, vol. 218(1), pages 140-177.
- Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2019. "Asymptotic F Tests under Possibly Weak Identification," University of California at San Diego, Economics Working Paper Series qt6qk200q8, Department of Economics, UC San Diego.
- Julian Martinez-Iriarte & Yixiao Sun & Xuexin Wang, 2019. "Asymptotic F Tests under Possibly Weak Identification," Working Papers 2019-03-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Liu, Cheng & Sun, Yixiao, 2019.
"A simple and trustworthy asymptotic t test in difference-in-differences regressions,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 327-362.
- Liu, Cheng & Sun, Yixiao, 2019. "A Simple and Trustworthy Asymptotic t Test in Difference-in-Differences Regressions," University of California at San Diego, Economics Working Paper Series qt0ck2109g, Department of Economics, UC San Diego.
- Xiaoqing Ye & Yixiao Sun, 2018.
"Heteroskedasticity- and autocorrelation-robust F and t tests in Stata,"
Stata Journal, StataCorp LP, vol. 18(4), pages 951-980, December.
- Ye, Xiaoqing & Sun, Yixiao, 2018. "Heteroscedasticity and Autocorrelation Robust F and t Tests in Stata," University of California at San Diego, Economics Working Paper Series qt0bb8d0s9, Department of Economics, UC San Diego.
- Stigler, Matthieu M., 2018. "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.
- Bruno Ferman, 2023.
"Inference in difference‐in‐differences: How much should we trust in independent clusters?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 358-369, April.
- Ferman, Bruno, 2019. "Inference in Differences-in-Differences: How Much Should We Trust in Independent Clusters?," MPRA Paper 93746, University Library of Munich, Germany.
- Bruno Ferman, 2019. "Inference in Difference-in-Differences: How Much Should We Trust in Independent Clusters?," Papers 1909.01782, arXiv.org, revised Sep 2022.
- Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023.
"Bootstrap inference under cross‐sectional dependence,"
Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
- Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
- Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2017.
"A fixed-bandwidth view of the pre-asymptotic inference for kernel smoothing with time series data,"
Journal of Econometrics, Elsevier, vol. 197(2), pages 298-322.
- Min Seong Kim & Yixiao Sun & Jingjing Yang, 2015. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," Working Papers 049, Toronto Metropolitan University, Department of Economics.
- Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
- Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
- Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
- Greenaway-McGrevy, Ryan & Sorensen, Kade, 2021. "A Time-Varying Hedonic Approach to quantifying the effects of loss aversion on house prices," Economic Modelling, Elsevier, vol. 99(C).
- J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
- Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
- David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
- Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
- Akgun, Oguzhan & Pirotte, Alain & Urga, Giovanni & Yang, Zhenlin, 2024.
"Equal predictive ability tests based on panel data with applications to OECD and IMF forecasts,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 202-228.
- Oguzhan Akgun & Alain Pirotte & Giovanni Urga & Zhenlin Yang, 2020. "Equal Predictive Ability Tests Based on Panel Data with Applications to OECD and IMF Forecasts," Papers 2003.02803, arXiv.org, revised Feb 2023.
- D. M. Lambert & C. N. Boyer & L. He, 2016. "Spatial-temporal heteroskedastic robust covariance estimation for Markov transition probabilities: an application examining land use change," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 353-362, October.
- Jiti Gao & Kai Xia, 2017.
"Heterogeneous panel data models with cross-sectional dependence,"
Monash Econometrics and Business Statistics Working Papers
16/17, Monash University, Department of Econometrics and Business Statistics.
- Jiti Gao & Kai Xia & Huanjun Zhu, 2019. "Heterogeneous Panel Data Models with Cross-Sectional Dependence," Working Papers 2019-07-09, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Ladislava Grochová & Luboš Střelec, 2013. "Heteroskedasticity, temporal and spatial correlation matter," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2151-2155.
- Min Seong Kim, 2021. "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers 2021-04, University of Connecticut, Department of Economics.
- Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020. "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 219(2), pages 329-353.
- Hidalgo, Javier & Schafgans, Marcia M. A., 2017. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 87748, London School of Economics and Political Science, LSE Library.
- Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.