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Guido M. Kuersteiner

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Guido M. Kuersteiner & David C. Phillips & Mauricio Villamizar-Villegas, 2016. "Supplementary Material for “The Effects of Foreign Exchange Intervention: Evidence from a Rule-Based Policy in Colombia”," Borradores de Economia 965, Banco de la Republica de Colombia.

    Cited by:

    1. Juan José Echavarría & Luis Fernando Melo Velandia & Santiago Téllez & Mauricio Villamizar, 2013. "The Impact of Pre-announced Day-to-day Interventions on the Colombian Exchange Rate," Borradores de Economia 10767, Banco de la Republica.
    2. Pietro Bonaldi & Mauricio Villamizar-Villegas, 2018. "An Auction-Based Test of Private Information in an Interdealer FX Market," Working papers 1, Red Investigadores de Economía.
    3. Perez-Reyna, David & Villamizar-Villegas, Mauricio, 2019. "Exchange rate effects of financial regulations," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 228-245.

  2. Guido M. Kuersteiner & David C. Phillips & Mauricio Villamizar-Villegas, 2016. "Effective Sterilized Foreign Exchange Intervention? Evidence from a Rule-Based Policy," Borradores de Economia 964, Banco de la Republica de Colombia.

    Cited by:

    1. Juan José Echavarría & Luis Fernando Melo Velandia & Santiago Téllez & Mauricio Villamizar, 2013. "The Impact of Pre-announced Day-to-day Interventions on the Colombian Exchange Rate," Borradores de Economia 10767, Banco de la Republica.
    2. Valeria Bejarano-Salcedo & William Iván Moreno-Jimenez & Juan Manuel Julio-Román, 2020. "La Magnitud y Duración del Efecto de la Intervención por Subastas sobre el Mercado Cambiario: El caso Colombiano," Borradores de Economia 1142, Banco de la Republica de Colombia.
    3. Lukas Boer, 2019. "Measuring the Effect of Foreign Exchange Intervention Policies on Exchange Rates," DIW Roundup: Politik im Fokus 128, DIW Berlin, German Institute for Economic Research.
    4. Mauricio Villamizar-Villegas & David Perez-Reyna, 2015. "A Survey on the Effects of Sterilized Foreign Exchange Intervention," Borradores de Economia 12424, Banco de la Republica.
    5. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2020. "Foreign Exchange Intervention: A New Database," Discussion Papers of DIW Berlin 1915, DIW Berlin, German Institute for Economic Research.
    6. Lukas Menkhoff & Malte Rieth & Tobias Stöhr, 2020. "The Dynamic Impact of FX Interventions on Financial Markets," Discussion Papers of DIW Berlin 1854, DIW Berlin, German Institute for Economic Research.
    7. Pamela Cardozo & Fredy Gamboa & David Perez-Reyna & Mauricio Villamizar-Villegas, 2016. "Banking Limits on Foreign Holdings: Disentangling the Portfolio Balance Channel," Borradores de Economia 934, Banco de la Republica de Colombia.
    8. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    9. Pierre-Richard Agénor & Luiz Awazu Pereira da Silva, 2021. "Macroeconomic policy under a managed float: a simple integrated framework," BIS Working Papers 964, Bank for International Settlements.
    10. Kathryn M. E. Dominguez, 2020. "Revisiting Exchange Rate Rules," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(3), pages 693-719, September.
    11. Sebastián Fanelli & Ludwig Straub, 2020. "A Theory of Foreign Exchange Interventions," Working Papers wp2020_2019, CEMFI.
    12. Pietro Bonaldi & Mauricio Villamizar-Villegas, 2018. "An Auction-Based Test of Private Information in an Interdealer FX Market," Working papers 1, Red Investigadores de Economía.
    13. Pierre-Richard Agénor & Timothy Jackson & Luiz Awazu Pereira da Silva, 2020. "Foreign exchange intervention and financial stability," BIS Working Papers 889, Bank for International Settlements.
    14. Christopher Loewald, 2021. "Macro works applying integrated policy frameworks to South Africa," Working Papers 11021, South African Reserve Bank.
    15. Alain Naef & Jacob P. Weber, 2023. "How Powerful Is Unannounced, Sterilized Foreign Exchange Intervention?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(5), pages 1307-1319, August.
    16. Julian A. Parra-Polania & Andrés Sánchez-Jabba & Miguel Sarmiento, 2022. "Oral FX Interventions in Emerging Markets: the Colombian case," Borradores de Economia 1194, Banco de la Republica de Colombia.
    17. Hernando Vargas & Pamela Cardozo & Mauricio Villamizar, 2019. "International reserve policy and the effectiveness of sterilized FX intervention in Colombia," BIS Papers chapters, in: Bank for International Settlements (ed.), Reserve management and FX intervention, volume 104, pages 103-116, Bank for International Settlements.
    18. Hernando Vargas-Herrera & Mauricio Villamizar-Villegas, 2019. "Effectiveness of FX Intervention and the Flimsiness of Exchange rate Expectations," Borradores de Economia 1070, Banco de la Republica de Colombia.
    19. Perez-Reyna, David & Villamizar-Villegas, Mauricio, 2019. "Exchange rate effects of financial regulations," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 228-245.
    20. Luna Santos, Francisco, 2021. "Comparing the impact of discretionary and pre-announced central bank interventions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    21. Zhang, Zhongxia & Svirydzenka, Katsiaryna, 2020. "Unintended Consequences of Foreign Exchange Reserve Movements? Financial Dollarization in Emerging Market Economies," MPRA Paper 120822, University Library of Munich, Germany.
    22. Rojas-Bernal, Alejandro & Villamizar-Villegas, Mauricio, 2021. "Pricing the exotic: Path-dependent American options with stochastic barriers," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
    23. Mauricio Villamizar-Villegas & Freddy A. Pinzón-Puerto & María Alejandra Ruiz-Sánchez, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Borradores de Economia 1112, Banco de la Republica de Colombia.
    24. Christopher Loewald, 2021. "Macro works a decisiontree approach to exchange rate policy," Working Papers 11009, South African Reserve Bank.
    25. Itamar Caspi & Amit Friedman & Sigal Ribon, 2022. "The Immediate Impact and Persistent Effect of FX Purchases on the Exchange Rate," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-31, December.
    26. Lucía Arango-Lozano & Lukas Menkhoff & Daniela Rodríguez-Novoa & Mauricio Villamizar-Villegas, 2020. "The Effectiveness of FX Interventions: A Meta-Analysis," Discussion Papers of DIW Berlin 1895, DIW Berlin, German Institute for Economic Research.
    27. Mauricio Villamizar-Villegas & Yasin Kursat Onder, 2020. "Uncovering Time-Specific Heterogeneity in Regression Discontinuity Designs," Borradores de Economia 1141, Banco de la Republica de Colombia.
    28. Horacio Aguirre & Gustavo Cañonero & Mario Torriani, 2019. "Foreign exchange intervention and reserve accumulation in an emerging market economy: selected issues," BIS Papers chapters, in: Bank for International Settlements (ed.), Reserve management and FX intervention, volume 104, pages 57-74, Bank for International Settlements.
    29. Daniel Ordoñez‐Callamand & Mauricio Villamizar‐Villegas & Luis F. Melo‐Velandia, 2018. "Foreign exchange intervention revisited: A new way of estimating censored models," International Finance, Wiley Blackwell, vol. 21(2), pages 195-213, June.
    30. Alexander Rodnyansky & Yannick Timmer & Naoki Yago, 2023. "Intervening against the Fed," CESifo Working Paper Series 10575, CESifo.
    31. Rodnyansky, A. & Timmer, Y. & Yago, N., 2023. "Intervening against the Fed," Cambridge Working Papers in Economics 2357, Faculty of Economics, University of Cambridge.
    32. Laura Andrade-Pardo & Oscar Valencia-Arana & Diego Vásquez-Escobar & Mauricio Villamizar-Villegas, 2016. "Uncovering the portfolio balance channel with the use of sovereign credit ratings," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 34(81), pages 191-205, December.
    33. FATUM, Rasmus & YAMAMOTO, Yohei & CHEN, Binwei, 2023. "The Trend Effect of Foreign Exchange Intervention," Discussion paper series HIAS-E-132, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    34. Ocampo, José Antonio & Orbegozo, German D. & Villamizar-Villegas, Mauricio, 2020. "Post-graduation from the original sin problem The effects of market participation on sovereign debt markets," Working papers 39, Red Investigadores de Economía.
    35. Anton Grui, 2020. "Uncovered interest parity with foreign exchange interventions under exchange rate peg and inflation targeting: The case of Ukraine," IHEID Working Papers 14-2020, Economics Section, The Graduate Institute of International Studies.
    36. Pontines, Victor & Luvsannyam, Davaajargal & Atarbaatar, Enkhjin & Munkhtsetseg, Ulziikhutag, 2021. "The effectiveness of currency intervention: Evidence from Mongolia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    37. Jara, Alejandro & Piña, Marco, 2023. "Exchange rate volatility and the effectiveness of FX interventions: The case of Chile," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(2).
    38. Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
    39. Nikhil Patel & Paolo Cavllino, 2019. "FX intervention: goals, strategies and tactics," BIS Papers chapters, in: Bank for International Settlements (ed.), Reserve management and FX intervention, volume 104, pages 25-44, Bank for International Settlements.
    40. Freddy A. Pinzón-Puerto & Mauricio Villamizar-Villegas, 2023. "Do Actions Speak Louder than Words? A Foreign Exchange Intervention Analysis," Borradores de Economia 1223, Banco de la Republica de Colombia.

  3. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.

    Cited by:

    1. Malikov, Emir & Zhao, Shunan, 2022. "On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI," 2022 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 7-9, 2022 316529, Agricultural and Applied Economics Association.
    2. Gupta, A & Robinson, PM, 2015. "Pseudo Maximum Likelihood Estimation of Spatial Autoregressive Models with Increasing Dimension," Economics Discussion Papers 22698, University of Essex, Department of Economics.
    3. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    4. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    5. Badi H. Baltagi & Alain Pirotte & Zhenlin Yang, 2021. "Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models," Post-Print hal-04120461, HAL.
    6. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    7. Gupta, Abhimanyu & Kokas, Sotirios & Michaelides, Alexander & Minetti, Raoul, 2023. "Networks and Information in Credit Markets," Working Papers 2023-1, Michigan State University, Department of Economics.
    8. Victor Chernozhukov & Chen Huang & Weining Wang, 2021. "Uniform Inference on High-dimensional Spatial Panel Networks," Papers 2105.07424, arXiv.org, revised Sep 2023.
    9. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    10. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    11. Füss, Roland & Ruf, Daniel, 2022. "Information precision and return co-movements in private commercial real estate markets," Journal of Banking & Finance, Elsevier, vol. 138(C).
    12. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    13. Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
    14. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    15. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    16. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2023. "IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 124-146.
    17. Jin Seo Cho & Matthew Greenwood‐Nimmo & Yongcheol Shin, 2023. "Recent developments of the autoregressive distributed lag modelling framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 7-32, February.
    18. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    19. Abhimanyu Gupta & Xi Qu, 2021. "Consistent specification testing under spatial dependence," Papers 2101.10255, arXiv.org, revised Aug 2022.
    20. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    21. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
    22. Guido M. Kuersteiner & Ingmar R. Prucha & Ying Zeng, 2021. "Efficient Peer Effects Estimators with Group Effects," Papers 2105.04330, arXiv.org, revised Apr 2022.
    23. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    24. Siem Jan Koopman & Julia Schaumburg & Quint Wiersma, 2021. "Joint Modelling and Estimation of Global and Local Cross-Sectional Dependence in Large Panels," Tinbergen Institute Discussion Papers 21-008/III, Tinbergen Institute.
    25. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    26. Li, Xiuqing & Xiao, Liming, 2024. "The impact of urban green business environment on FDI quality and its driving mechanism: Evidence from China," World Development, Elsevier, vol. 175(C).
    27. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    28. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    29. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    30. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.
    31. Costola, Michele & Iacopini, Matteo & Wichers, Casper, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," SAFE Working Paper Series 407, Leibniz Institute for Financial Research SAFE.

  4. Joshua D. Angrist & Òscar Jordà & Guido M. Kuersteiner, 2013. "Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited," Working Paper Series 2013-24, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Mokas, Dimitris & Giuliodori, Massimo, 2023. "Effects of LTV announcements in EU economies," Journal of International Money and Finance, Elsevier, vol. 133(C).
    2. Fergus Cumming & Paul Hubert, 2019. "The role of households' borrowing constraints in the transmission of monetary policy," SciencePo Working papers Main hal-03403257, HAL.
    3. Blanco Barroso, Joao & Barbone Gonzalez, Rodrigo & Peydró, José-Luis & Nazar van Doornik, Bernardus, 2019. "Countercyclical Liquidity Policy and Credit Cycles: Evidence from Macroprudential and Monetary Policy in Brazil," EconStor Preprints 216792, ZBW - Leibniz Information Centre for Economics.
    4. Ernesto Crivelli & Mr. Sanjeev Gupta, 2014. "Does conditionality in IMF-supported programs promote revenue reform?," IMF Working Papers 2014/206, International Monetary Fund.
    5. M. Hashem Pesaran & Ron P Smith, 2014. "Counterfactual Analysis in Macroeconometrics: An Empirical Investigation into the Effects of Quantitative Easing," Birkbeck Working Papers in Economics and Finance 1406, Birkbeck, Department of Economics, Mathematics & Statistics.
    6. Kamalyan, Hayk, 2021. "The State-Dependent Effects of Monetary Policy," MPRA Paper 107489, University Library of Munich, Germany.
    7. Antonis Adam & Thomas Moutos, 2023. "Do Public Sector Employment Reductions Promote Informality?," CESifo Working Paper Series 10614, CESifo.
    8. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2014. "The Great Mortgaging: Housing Finance, Crises, and Business Cycles," NBER Working Papers 20501, National Bureau of Economic Research, Inc.
    9. Jackson, Laura E. & Owyang, Michael T. & Soques, Daniel, 2018. "Nonlinearities, smoothing and countercyclical monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 136-154.
    10. Kristin Forbes & Marcel Fratzscher & Roland Straub, 2014. "Capital-flow Management Measures: What Are They Good For?," NBER Chapters, in: NBER International Seminar on Macroeconomics 2014, pages 76-97, National Bureau of Economic Research, Inc.
    11. Giacomo Rella, 2021. "The Fed, housing and household debt over time," Department of Economics University of Siena 850, Department of Economics, University of Siena.
    12. Forni, Mario & Debortoli, Davide & Gambetti, Luca & Sala, Luca, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," CEPR Discussion Papers 15005, C.E.P.R. Discussion Papers.
    13. Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    14. Tenreyro, Silvana & Thwaites, Gregory, 2016. "Pushing on a string: US monetary policy is less powerful in recessions," LSE Research Online Documents on Economics 69214, London School of Economics and Political Science, LSE Library.
    15. Benjamin Gardner & Chiara Scotti & Clara Vega, 2021. "Words Speak as Loudly as Actions: Central Bank Communication and the Response of Equity Prices to Macroeconomic Announcements," Finance and Economics Discussion Series 2021-074, Board of Governors of the Federal Reserve System (U.S.).
    16. Felipe Benguria & Alan M. Taylor, 2020. "After the Panic: Are Financial Crises Demand or Supply Shocks? Evidence from International Trade," American Economic Review: Insights, American Economic Association, vol. 2(4), pages 509-526, December.
    17. Taylor, Alan M. & Cloyne, James & Jordà , Òscar, 2020. "Decomposing the Fiscal Multiplier," CEPR Discussion Papers 14544, C.E.P.R. Discussion Papers.
    18. Ryan Niladri Banerjee & Fabrizio Zampolli, 2016. "What drives the short-run costs of fiscal consolidation? Evidence from OECD countries," BIS Working Papers 553, Bank for International Settlements.
    19. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2016. "Sovereigns going bust: estimating the cost of default," Bonn Econ Discussion Papers 01/2016, University of Bonn, Bonn Graduate School of Economics (BGSE).
    20. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    21. James Cloyne & Òscar Jordà & Alan M. Taylor, 2023. "State-Dependent Local Projections: Understanding Impulse Response Heterogeneity," NBER Working Papers 30971, National Bureau of Economic Research, Inc.
    22. Kristin J Forbes & Michael W Klein, 2015. "Pick Your Poison: The Choices and Consequences of Policy Responses to Crises," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(1), pages 197-237, May.
    23. Robert Adamek & Stephan Smeekes & Ines Wilms, 2022. "Local Projection Inference in High Dimensions," Papers 2209.03218, arXiv.org, revised Apr 2024.
    24. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.
    25. Luca Metelli & Filippo Natoli & Luca Rossi, 2020. "Monetary policy gradualism and the nonlinear effects of monetary shocks," Temi di discussione (Economic working papers) 1275, Bank of Italy, Economic Research and International Relations Area.
    26. De Santis, Roberto A. & Tornese, Tommaso, 2024. "US monetary policy is more powerful in low economic growth regimes," Working Paper Series 2919, European Central Bank.
    27. Jordà, Òscar & Taylor, Alan M., 2014. "The time for austerity: Estimating the average treatment effect of fiscal policy," SAFE Working Paper Series 79, Leibniz Institute for Financial Research SAFE.
    28. Dörffel, Christoph & Freytag, Andreas, 2023. "The poverty effect of democratization," World Development, Elsevier, vol. 165(C).
    29. Tenreyro, Silvana & De Silva, Tiloka, 2021. "Presidential Address 2021: climate-change pledges, actions and outcomes," LSE Research Online Documents on Economics 112139, London School of Economics and Political Science, LSE Library.
    30. Mehdi El Herradi & Aurélien Leroy, 2022. "The rich, poor, and middle class: Banking crises and income distribution," Post-Print hal-03770620, HAL.
    31. Baqaee, David Rezza, 2020. "Asymmetric inflation expectations, downward rigidity of wages, and asymmetric business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 174-193.
    32. Max Breitenlechner & Johann Scharler, 2020. "Private Sector Debt, Financial Constraints, and the Effects of Monetary Policy: Evidence from the US," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 889-915, August.
    33. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2019. "Sovereigns going bust: Estimating the cost of default," European Economic Review, Elsevier, vol. 119(C), pages 1-21.
    34. Mu-Jeung Yang & Johannes Wieland, 2015. "Financial Dampening," 2015 Meeting Papers 1022, Society for Economic Dynamics.
    35. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    36. Christophe Blot & Paul Hubert & Fabien Labondance, 2020. "The asymmetric effects of monetary policy on stock price bubbles," Documents de Travail de l'OFCE 2020-12, Observatoire Francais des Conjonctures Economiques (OFCE).
    37. Guido M. Kuersteiner & David C. Phillips & Mauricio Villamizar-Villegas, 2016. "Effective Sterilized Foreign Exchange Intervention? Evidence from a Rule-Based Policy," Borradores de Economia 964, Banco de la Republica de Colombia.
    38. Francesca Caselli & Mr. Philippe Wingender, 2018. "Bunching at 3 Percent: The Maastricht Fiscal Criterion and Government Deficits," IMF Working Papers 2018/182, International Monetary Fund.
    39. Shirota, Toyoichiro, 2018. "Evaluating the Unconventional Monetary Policy in Stock Markets : A Semi-parametric Approach," Discussion paper series. A 322, Graduate School of Economics and Business Administration, Hokkaido University.
    40. Oscar Jorda & Alan Taylor & Sanjay Singh, 2019. "The Long-Run Effects of Monetary Policy," 2019 Meeting Papers 1307, Society for Economic Dynamics.
    41. Alessio Anzuini & Luca Rossi, 2021. "Unconventional monetary policies and expectations on economic variables," Temi di discussione (Economic working papers) 1323, Bank of Italy, Economic Research and International Relations Area.
    42. Fratzscher, Marcel & Forbes, Kristin & Straub, Roland, 2014. "Capital Controls and Macroprudential Measures: What Are They Good For?," CEPR Discussion Papers 9798, C.E.P.R. Discussion Papers.
    43. Antonis Adam & Sofia Tsarsitalidou, 2019. "Do sanctions lead to a decline in civil liberties?," Public Choice, Springer, vol. 180(3), pages 191-215, September.
    44. Emanuel Kohlscheen & Aaron Mehrotra & Dubravko Mihaljek, 2020. "Residential Investment and Economic Activity: Evidence from the Past Five Decades," International Journal of Central Banking, International Journal of Central Banking, vol. 16(6), pages 287-329, December.
    45. Jongrim Ha, 2020. "Nonlinear transmission of U.S. monetary policy shocks to international financial markets," International Finance, Wiley Blackwell, vol. 23(3), pages 350-369, December.
    46. Bunce, Alan & Carrillo-Maldonado, Paul, 2023. "Asymmetric effect of the oil price in the ecuadorian economy," Energy Economics, Elsevier, vol. 124(C).
    47. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.
    48. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.
    49. Matthias Neuenkirch, 2020. "An Unconventional Approach to Evaluate the Bank of England’s Asset Purchase Program," Open Economies Review, Springer, vol. 31(1), pages 79-94, February.
    50. Fergus Cumming & Paul Hubert, 2019. "The Role of Households' Borrowing Constraints in the Transmission of Monetary Policy This paper investigates how the transmission of monetary policy to the real economy depends on the distribution of ," Documents de Travail de l'OFCE 2019-20, Observatoire Francais des Conjonctures Economiques (OFCE).
    51. François Bareille & Julien Wolfersberger & Matteo Zavalloni, 2023. "Institutions and conservation: The case of protected areas," Post-Print hal-03920138, HAL.
    52. Stockwell, Thomas, 2023. "Should models of monetary policy asymmetry include interaction terms?," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    53. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2023. "The non-linear response of US state-level tradable and non-tradable inflation to oil shocks: The role of oil-dependence," Research in International Business and Finance, Elsevier, vol. 64(C).
    54. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    55. Viral V. Acharya & Lea Borchert & Maximilian Jager & Sascha Steffen, 2023. "Kicking the Can Down the Road: Government Interventions in the European Banking Sector," CRC TR 224 Discussion Paper Series crctr224_2023_446, University of Bonn and University of Mannheim, Germany.
    56. Victor Song & Libo Xu, 2023. "Do Monetary Policy Shocks Have Asymmetric Effects on Stock Market?," Open Economies Review, Springer, vol. 34(5), pages 1063-1078, November.
    57. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Working Paper 2019/21, Norges Bank.
    58. Valerie A. Ramey, 2016. "Macroeconomic Shocks and Their Propagation," NBER Working Papers 21978, National Bureau of Economic Research, Inc.
    59. Caselli, Francesca & Wingender, Philippe, 2021. "Heterogeneous effects of fiscal rules: The Maastricht fiscal criterion and the counterfactual distribution of government deficits✰," European Economic Review, Elsevier, vol. 136(C).
    60. Llanos, Cristian & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP," Energy, Elsevier, vol. 249(C).
    61. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    62. Abel François & Pierre-Guillaume Méon, 2021. "Politicians at higher levels of government are perceived as more corrupt," Post-Print hal-03129928, HAL.
    63. Leonardo Nogueira Ferreira, 2023. "Monetary Policy Surprises, Financial Conditions, and the String Theory Revisited," Working Papers Series 573, Central Bank of Brazil, Research Department.
    64. Roben Kloosterman & Dennis Bonam & Koen van der Veer, 2022. "The effects of monetary policy across fiscal regimes," Working Papers 755, DNB.
    65. Kim, Youngju & Lim, Hyunjoon, 2020. "Transmission of monetary policy in times of high household debt," Journal of Macroeconomics, Elsevier, vol. 63(C).
    66. Adam, Antonis & Tsarsitalidou, Sofia, 2023. "Be my guest: the effect of foreign policy visits to the USA on FDI," LSE Research Online Documents on Economics 119368, London School of Economics and Political Science, LSE Library.
    67. Akanksha Jalan & Roman Matkovskyy & Andrew Urquhart, 2022. "Demand elasticities of Bitcoin and Ethereum," Post-Print hal-03888337, HAL.
    68. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    69. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2014. "Democracy Does Cause Growth," NBER Working Papers 20004, National Bureau of Economic Research, Inc.
    70. Hoda Youssef & Ibrahim Elbadawi & Raimundo Soto, 2018. "Sovereign Wealth Funds and Macroeconomic Stabilization in the Home Economy," Working Papers 1175, Economic Research Forum, revised 29 Mar 2008.
    71. Adam, Antonis & Tsarsitalidou, Sofia, 2019. "Serving two masters: The effect of state religion on fiscal capacity," MPRA Paper 101857, University Library of Munich, Germany.
    72. Moritz Schularick & Ilhyock Shim, 2017. "Household credit in Asia-Pacific," BIS Papers chapters, in: Bank for International Settlements (ed.), Financial systems and the real economy, volume 91, pages 129-144, Bank for International Settlements.
    73. Leonardo Marinho, 2022. "Causal Impulse Responses for Time Series," Working Papers Series 570, Central Bank of Brazil, Research Department.
    74. Toru Kitagawa & Weining Wang & Mengshan Xu, 2022. "Policy Choice in Time Series by Empirical Welfare Maximization," Papers 2205.03970, arXiv.org, revised Jun 2023.
    75. Samba Mbaye & Ms. Marialuz Moreno Badia & Kyungla Chae, 2018. "Bailing Out the People? When Private Debt Becomes Public," IMF Working Papers 2018/141, International Monetary Fund.
    76. Martin Harding & Mathias Klein, 2022. "Monetary policy and household net worth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 125-151, April.
    77. Pontines, Victor & Luvsannyam, Davaajargal & Atarbaatar, Enkhjin & Munkhtsetseg, Ulziikhutag, 2021. "The effectiveness of currency intervention: Evidence from Mongolia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    78. Jean Lacroix & Pierre-Guillaume Méon & Khalid Sekkat, 2021. "Democratic transitions can attract foreign direct investment: Effect, trajectories, and the role of political risk," Post-Print hal-04210351, HAL.
    79. André Diniz, 2018. "Effects of Fiscal Consolidations in Latin America," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(4), pages 694-731, December.
    80. Mäkinen, Taneli & Li, Fan & Mercatanti, Andrea & Silvestrini, Andrea, 2022. "Causal analysis of central bank holdings of corporate bonds under interference," Economic Modelling, Elsevier, vol. 113(C).
    81. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    82. Kärkkäinen, Samu & Silvo, Aino, 2023. "Household debt, liquidity constraints and the interest rate elasticity of private consumption," BoF Economics Review 2/2023, Bank of Finland.
    83. Viral V. Acharya & Lea Borchert & Maximilian Jager & Sascha Steffen, 2020. "Kicking the Can Down the Road: Government Interventions in the European Banking Sector," NBER Working Papers 27537, National Bureau of Economic Research, Inc.
    84. Malherbe, Frédéric & Bahaj, Saleem, 2016. "A positive analysis of bank behaviour under capital requirements," CEPR Discussion Papers 11607, C.E.P.R. Discussion Papers.
    85. Silvana Tenreyro & Tiloka de Silva, 2021. "Climate-Change Pledges, Actions and Outcomes," Discussion Papers 2118, Centre for Macroeconomics (CFM).
    86. Pontines, Victor, 2018. "Self-selection and treatment effects: Revisiting the effectiveness of foreign exchange intervention," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 299-316.
    87. Nick Stenner, 2022. "The Asymmetric Effects of Monetary Policy: Evidence from the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 516-543, June.
    88. Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
    89. Cafora, Alfonso & Romano, Antonio Angelo & Ronghi, Monica & Giuseppe, Scandurra, 2017. "Substituting fossil energy sources: the role of the climate funds and effects on the economic growth," MPRA Paper 82373, University Library of Munich, Germany.
    90. Shirota, Toyoichiro, 2023. "State-dependent effects of the unconventional monetary policy in stock markets," Japan and the World Economy, Elsevier, vol. 67(C).

  5. Angrist, Joshua & Kuersteiner, Guido M., 2008. "Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score," IZA Discussion Papers 3606, Institute of Labor Economics (IZA).

    Cited by:

    1. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, February.
    2. M. Hashem Pesaran & Ron P Smith, 2014. "Counterfactual Analysis in Macroeconometrics: An Empirical Investigation into the Effects of Quantitative Easing," Birkbeck Working Papers in Economics and Finance 1406, Birkbeck, Department of Economics, Mathematics & Statistics.
    3. Narayana R. Kocherlakota, 2018. "Practical Policy Evaluation," NBER Working Papers 24643, National Bureau of Economic Research, Inc.
    4. Musa, Umar & Jun, Wen, 2020. "Does inflation targeting cause financial instability?: An empirical test of paradox of credibility hypothesis," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Daniele Girardi & Walter Paternesi Meloni & Antonella Stirati, 2018. "Persistent Effects of Autonomous Demand Expansions," Working Papers Series 70, Institute for New Economic Thinking.
    6. Kristin Forbes & Marcel Fratzscher & Roland Straub, 2014. "Capital-flow Management Measures: What Are They Good For?," NBER Chapters, in: NBER International Seminar on Macroeconomics 2014, pages 76-97, National Bureau of Economic Research, Inc.
    7. Traviss Cassidy & Mark Dincecco & Ugo Antonio Troiano, 2024. "The Introduction of the Income Tax, Fiscal Capacity, and Migration: Evidence from US States," American Economic Journal: Economic Policy, American Economic Association, vol. 16(1), pages 359-393, February.
    8. Sokbae Lee & Yoon-Jae Whang, 2009. "Nonparametric Tests of Conditional Treatment Effects," Cowles Foundation Discussion Papers 1740, Cowles Foundation for Research in Economics, Yale University.
    9. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    10. Kristin J Forbes & Michael W Klein, 2015. "Pick Your Poison: The Choices and Consequences of Policy Responses to Crises," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(1), pages 197-237, May.
    11. Angrist, Joshua & Rokkanen, Miikka, 2013. "Wanna Get Away? RD Identification Away from the Cutoff," IZA Discussion Papers 7429, Institute of Labor Economics (IZA).
    12. Joshua Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path from Cause to Effect," NBER Working Papers 29726, National Bureau of Economic Research, Inc.
    13. Joshua D. Angrist & Òscar Jordà & Guido M. Kuersteiner, 2018. "Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 371-387, July.
    14. Born, Benjamin & Müller, Gernot & Pfeifer, Johannes & Wellmann, Susanne, 2020. "Different no more: Country spreads in advanced and emerging economies," CEPR Discussion Papers 14392, C.E.P.R. Discussion Papers.
    15. Jean Lacroix & Pierre-Guillaume Méon & Khalid Sekkat, 2017. "Do democratic transitions attract foreign investors and how fast?," Working Papers CEB 17-006, ULB -- Universite Libre de Bruxelles.
    16. Jordà, Òscar & Taylor, Alan M., 2014. "The time for austerity: Estimating the average treatment effect of fiscal policy," SAFE Working Paper Series 79, Leibniz Institute for Financial Research SAFE.
    17. Michael L. Anderson, 2012. "The Benefits of College Athletic Success: An Application of the Propensity Score Design with Instrumental Variables," NBER Working Papers 18196, National Bureau of Economic Research, Inc.
    18. Dörffel, Christoph & Freytag, Andreas, 2023. "The poverty effect of democratization," World Development, Elsevier, vol. 165(C).
    19. Mehdi El Herradi & Aurélien Leroy, 2022. "The rich, poor, and middle class: Banking crises and income distribution," Post-Print hal-03770620, HAL.
    20. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    21. Francesca Caselli & Mr. Philippe Wingender, 2018. "Bunching at 3 Percent: The Maastricht Fiscal Criterion and Government Deficits," IMF Working Papers 2018/182, International Monetary Fund.
    22. Shirota, Toyoichiro, 2018. "Evaluating the Unconventional Monetary Policy in Stock Markets : A Semi-parametric Approach," Discussion paper series. A 322, Graduate School of Economics and Business Administration, Hokkaido University.
    23. Fratzscher, Marcel & Forbes, Kristin & Straub, Roland, 2014. "Capital Controls and Macroprudential Measures: What Are They Good For?," CEPR Discussion Papers 9798, C.E.P.R. Discussion Papers.
    24. Antonis Adam & Sofia Tsarsitalidou, 2019. "Do sanctions lead to a decline in civil liberties?," Public Choice, Springer, vol. 180(3), pages 191-215, September.
    25. Mauricio Villamizar-Villegas, 2016. "Identifying The Effects Of Simultaneous Monetary Policy Shocks," Contemporary Economic Policy, Western Economic Association International, vol. 34(2), pages 268-296, April.
    26. Itamar Caspi & Amit Friedman & Sigal Ribon, 2022. "The Immediate Impact and Persistent Effect of FX Purchases on the Exchange Rate," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-31, December.
    27. Radhika Pandey & Gurnain Pasricha & Ila Patnaik & Ajay Shah, 2015. "Motivations for Capital Controls and Their Effectiveness," Staff Working Papers 15-5, Bank of Canada.
    28. Koiti Yano, 2020. "Government spending and multi-category treatment effects:The modified conditional independence assumption," Papers 2007.08396, arXiv.org, revised Aug 2020.
    29. Gabriele Galati & Richhild Moessner, 2018. "What Do We Know About the Effects of Macroprudential Policy?," Economica, London School of Economics and Political Science, vol. 85(340), pages 735-770, October.
    30. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).
    31. Altavilla, Carlo & Darracq Pariès, Matthieu & Nicoletti, Giulio, 2015. "Loan supply, credit markets and the euro area financial crisis," Working Paper Series 1861, European Central Bank.
    32. Caselli, Francesca & Wingender, Philippe, 2021. "Heterogeneous effects of fiscal rules: The Maastricht fiscal criterion and the counterfactual distribution of government deficits✰," European Economic Review, Elsevier, vol. 136(C).
    33. Llanos, Cristian & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP," Energy, Elsevier, vol. 249(C).
    34. Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
    35. Michael L. Anderson, 2017. "The Benefits of College Athletic Success: An Application of the Propensity Score Design," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 119-134, March.
    36. Abel François & Pierre-Guillaume Méon, 2021. "Politicians at higher levels of government are perceived as more corrupt," Post-Print hal-03129928, HAL.
    37. Adam, Antonis & Tsarsitalidou, Sofia, 2023. "Be my guest: the effect of foreign policy visits to the USA on FDI," LSE Research Online Documents on Economics 119368, London School of Economics and Political Science, LSE Library.
    38. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2014. "Democracy Does Cause Growth," NBER Working Papers 20004, National Bureau of Economic Research, Inc.
    39. Hoda Youssef & Ibrahim Elbadawi & Raimundo Soto, 2018. "Sovereign Wealth Funds and Macroeconomic Stabilization in the Home Economy," Working Papers 1175, Economic Research Forum, revised 29 Mar 2008.
    40. Adam, Antonis & Tsarsitalidou, Sofia, 2019. "Serving two masters: The effect of state religion on fiscal capacity," MPRA Paper 101857, University Library of Munich, Germany.
    41. Stephenson Strobel, 2023. "Waiting for Dr. Godot: how much and who responds to predicted health care wait times?," Papers 2309.13219, arXiv.org.
    42. Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    43. Jean Lacroix & Pierre-Guillaume Méon & Khalid Sekkat, 2021. "Democratic transitions can attract foreign direct investment: Effect, trajectories, and the role of political risk," Post-Print hal-04210351, HAL.
    44. Antonis Adam & Kostas Karanatsis, 2019. "Sovereign Defaults and Democracy," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(1), pages 36-62, March.
    45. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    46. Bonsoo Koo & Seojeong Lee & Myung Hwan Seo, 2022. "What Impulse Response Do Instrumental Variables Identify?," Papers 2208.11828, arXiv.org, revised Aug 2023.
    47. Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
    48. Wu, Guiying Laura, 2018. "Capital misallocation in China: Financial frictions or policy distortions?," Journal of Development Economics, Elsevier, vol. 130(C), pages 203-223.
    49. Mariko Hatase & Mototsugu Shintani & Tomoyoshi Yabu, 2013. "Great earthquakes, exchange rate volatility and government interventions," Vanderbilt University Department of Economics Working Papers 13-00007, Vanderbilt University Department of Economics.
    50. Nuno Palma, 2019. "The Real Effects of Monetary Expansions: Evidence from a Large-Scale Historical Natural Experiment," Economics Discussion Paper Series 1904, Economics, The University of Manchester, revised Aug 2021.
    51. Carfora, Alfonso & Scandurra, Giuseppe, 2019. "The impact of climate funds on economic growth and their role in substituting fossil energy sources," Energy Policy, Elsevier, vol. 129(C), pages 182-192.
    52. Cafora, Alfonso & Romano, Antonio Angelo & Ronghi, Monica & Giuseppe, Scandurra, 2017. "Substituting fossil energy sources: the role of the climate funds and effects on the economic growth," MPRA Paper 82373, University Library of Munich, Germany.
    53. Shirota, Toyoichiro, 2023. "State-dependent effects of the unconventional monetary policy in stock markets," Japan and the World Economy, Elsevier, vol. 67(C).

  6. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.

    Cited by:

    1. Jerry Hausman & Guido Kuersteiner, 2005. "Difference in Difference Meets Generalized Least Squares: Higher Order Properties of Hypotheses Tests," Boston University - Department of Economics - Working Papers Series WP2005-010, Boston University - Department of Economics.
    2. Arcand Jean-Louis & Béatrice d'Hombres, 2005. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Macroeconomics 0510010, University Library of Munich, Germany.
    3. Lawrence J. Christiano & Martin S. Eichenbaum & Robert J. Vigfusson, 2003. "What happens after a technology shock?," International Finance Discussion Papers 768, Board of Governors of the Federal Reserve System (U.S.).
    4. Peter C.B. Phillips & Donggyu Sul, 2004. "Bias in Dynamic Panel Estimation with Fixed Effects, Incidental Trends and Cross Section Dependence," Yale School of Management Working Papers ysm428, Yale School of Management.
    5. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    6. Phillips, Peter & Sul, Donggyu, 2002. "Dynamic Panel Estimation and Homogenity Testing Under Cross Section Dependence," Working Papers 194, Department of Economics, The University of Auckland.
    7. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    8. Hyungsik Roger Moon & Peter C. B. Phillips, 2004. "GMM Estimation of Autoregressive Roots Near Unity with Panel Data," Econometrica, Econometric Society, vol. 72(2), pages 467-522, March.
    9. Coen Teulings & Thijs van Rens, 2008. "Education, Growth, and Income Inequality," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 89-104, February.
    10. Rodrigo Alfaro & Helmut Franken & Carlos García & Alejandro Jara, 2003. "Bank Lending Channel and the Monetary Transmission Mechanism: the Case of Chile," Working Papers Central Bank of Chile 223, Central Bank of Chile.
    11. Rodrigo Alfaro & Helmut Franken & Carlos García & Alejandro Jara, 2004. "The Bank Lending Channel in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Luis Antonio Ahumada & J. Rodrigo Fuentes & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking Market Structure and Monetary Policy, edition 1, volume 7, chapter 4, pages 121-146, Central Bank of Chile.
    12. Philip Brock & Helmut Franken M., 2003. "Measuring the Determinants of Average and Marginal Bank Interest Rate Spreads in Chile, 1994-2001," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 6(3), pages 45-65, December.
    13. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2014. "Democracy Does Cause Growth," NBER Working Papers 20004, National Bureau of Economic Research, Inc.
    14. Carlos Budnevich L. & Helmut Franken M., 2003. "Market Discipline in Depositors’ Behavior and the Role of Risk-Rating Agencies: The Case of Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 6(2), pages 45-70, August.
    15. Kazuhiko Hayakawa, 2006. "Efficient GMM Estimation of Dynamic Panel Data Models Where Large Heterogeneity May Be Present," Hi-Stat Discussion Paper Series d05-130, Institute of Economic Research, Hitotsubashi University.
    16. Kazuhiko Hayakawa, 2005. "Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d05-82, Institute of Economic Research, Hitotsubashi University.

  7. Jerry Hausman & Guido Kuersteiner, 2005. "Difference in Difference Meets Generalized Least Squares: Higher Order Properties of Hypotheses Tests," Boston University - Department of Economics - Working Papers Series WP2005-010, Boston University - Department of Economics.

    Cited by:

    1. Karlsson, Martin & Nilsson, Therese & Pichler, Stefan, 2012. "What doesn't kill you makes you stronger? The Impact of the 1918 Spanish Flu Epidemic on Economic Performance in Sweden," Working Papers 2012:7, Lund University, Department of Economics.
    2. Sudip Ranjan Basu & Victor Ognivtsev & Miho Shirotori, 2009. "Building Trade-Relating Institutions And Wto Accession," UNCTAD Blue Series Papers 41, United Nations Conference on Trade and Development.
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    4. Fonseka, Mohan & Richardson, Grant & Shekhar, Chander & Yang, Xing, 2023. "The impact of social trust on loan grants and default risk: Evidence from China’s regional commercial banks during branching policy changes," Economics Letters, Elsevier, vol. 229(C).
    5. Tu, Zhengge & Hu, Tianyang & Shen, Renjun, 2019. "Evaluating public participation impact on environmental protection and ecological efficiency in China: Evidence from PITI disclosure," China Economic Review, Elsevier, vol. 55(C), pages 111-123.
    6. Song, Xueyin & Huang, Xianhai & Qing, Tao, 2021. "Intellectual property rights protection and quality upgrading: Evidence from China," Economic Modelling, Elsevier, vol. 103(C).
    7. Barli Suryanta & Arianto A. Patunru, 2023. "Determinants of Foreign Direct Investment in Indonesia," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 15(1), pages 109-131, January.
    8. Hausman, Jerry & Palmer, Christopher, 2012. "Heteroskedasticity-robust inference in finite samples," Economics Letters, Elsevier, vol. 116(2), pages 232-235.
    9. Ronaldo Carpio & Meixin Guo, 2021. "Bayesian estimation of the Eurozone currency union effect," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 511-532, August.
    10. Yunduan Gao, 2023. "Mechanisms of Forestry Carbon Sink Policies on Land Use Efficiency: A Perspective from the Drivers of Policy Implementation," Land, MDPI, vol. 12(10), pages 1-19, September.
    11. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 316, University of California, Davis, Department of Economics.
    12. Sergio A. Contreras & Andrew J. Greenlee, 2021. "Evaluating the effectiveness of ChileCompra's Entrepreneurship Centers policy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1262-1282, August.
    13. Avi Dor & William Encinosa & Kathleen Carey, 2016. "Do Good Reports Mean Higher Prices? The Impact of Hospital Compare Ratings on Cardiac Pricing," NBER Working Papers 22858, National Bureau of Economic Research, Inc.
    14. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    15. Ben Vollaard, 2005. "Police numbers up, crime rates down. The effect of police on crime in the Netherlands, 1996-2003," Law and Economics 0501006, University Library of Munich, Germany.
    16. Sudip Ranjan Basu, 2008. "Does WTO accession affect domestic economic policies and institutions?," IHEID Working Papers 03-2008, Economics Section, The Graduate Institute of International Studies, revised Feb 2008.
    17. Jeffrey M. Wooldridge, 2009. "Difference-in-differences estimation (in Russian)," Quantile, Quantile, issue 6, pages 25-47, March.
    18. Tang, Chang & Xue, Yan & Wu, Haitao & Irfan, Muhammad & Hao, Yu, 2022. "How does telecommunications infrastructure affect eco-efficiency? Evidence from a quasi-natural experiment in China," Technology in Society, Elsevier, vol. 69(C).
    19. Ferraz, Diogo & Ribeiro de Oliveira, Fabíola Cristina, 2018. "Impact of the National Professional Qualification Program (PNQ) on Income: An Econometric Analysis in Piracicaba/SP-Brazil," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 28(2), pages 105-123.

  8. Joshua D. Angrist & Guido M. Kuersteiner, 2004. "Semiparametric Causality Tests Using the Policy Propensity Score," NBER Working Papers 10975, National Bureau of Economic Research, Inc.

    Cited by:

    1. Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
    2. Nir Billfeld & Moshe Kim, 2019. "Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data," Papers 1908.02166, arXiv.org.
    3. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    4. Sokbae Lee & Yoon-Jae Whang, 2009. "Nonparametric Tests of Conditional Treatment Effects," Cowles Foundation Discussion Papers 1740, Cowles Foundation for Research in Economics, Yale University.
    5. Joshua D. Angrist & Òscar Jordà & Guido M. Kuersteiner, 2018. "Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 371-387, July.
    6. Jordà, Òscar & Taylor, Alan M., 2014. "The time for austerity: Estimating the average treatment effect of fiscal policy," SAFE Working Paper Series 79, Leibniz Institute for Financial Research SAFE.
    7. Mauricio Villamizar-Villegas, 2016. "Identifying The Effects Of Simultaneous Monetary Policy Shocks," Contemporary Economic Policy, Western Economic Association International, vol. 34(2), pages 268-296, April.
    8. Kyungchul Song, 2007. "Testing Conditional Independence via Rosenblatt Transforms," PIER Working Paper Archive 07-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    9. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    10. Michael Lechner, 2006. "The Relation of Different Concepts of Causality in Econometrics," University of St. Gallen Department of Economics working paper series 2006 2006-15, Department of Economics, University of St. Gallen.
    11. White, Halbert, 2006. "Time-series estimation of the effects of natural experiments," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 527-566.

  9. Guido Kuersteiner, 2000. "RMSE Reduction for GMM Estimators of Linear Time Series Models," Econometric Society World Congress 2000 Contributed Papers 0892, Econometric Society.

    Cited by:

    1. Mahmoud El-Gamal, 2001. "A Bayesian Interpretation Of Multiple Point Estimates," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 235-245.
    2. Nour Meddahi, 2003. "ARMA representation of integrated and realized variances," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 335-356, December.
    3. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    4. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    5. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

  10. Guido M. Kuersteiner, 1999. "Optimal Instrumental Variables Estimation for ARMA Models," Working papers 99-07, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Kilian, Lutz & Gonçalves, Sílvia, 2002. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Discussion Paper Series 1: Economic Studies 2002,26, Deutsche Bundesbank.
    2. Oscar Jorda, 2007. "Joint Inference and Counterfactual experimentation for Impulse Response Functions by Local Projections," Working Papers 107, University of California, Davis, Department of Economics.
    3. Donald W. K. Andrews & Patrik Guggenberger, 2014. "A Conditional-Heteroskedasticity-Robust Confidence Interval for the Autoregressive Parameter," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 376-381, May.
    4. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    5. Zacharias Psaradakis & Marián Vávra, 2015. "Portmanteau Tests for Linearity of Stationary Time Series," Birkbeck Working Papers in Economics and Finance 1514, Birkbeck, Department of Economics, Mathematics & Statistics.
    6. Nikolay Gospodinov & Taisuke Otsu, 2008. "Local GMM Estimation of Time Series Models with Conditional Moment Restrictions," Working Papers 08010, Concordia University, Department of Economics.
    7. Andreea Halunga & Chris D. Orme & Takashi Yamagata, 2011. "A Heteroskedasticity Robust Breusch-Pagan Test for Contemporaneous Correlation in Dynamic Panel Data Models," Economics Discussion Paper Series 1118, Economics, The University of Manchester.
    8. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    9. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    10. Grivas, Charisios, 2021. "An Automatic Portmanteau Test For Nonlinear Dependence," MPRA Paper 114312, University Library of Munich, Germany, revised 22 Aug 2022.
    11. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    12. Oscar Jorda, 2007. "Inference for Impulse Responses," Working Papers 201, University of California, Davis, Department of Economics.
    13. Canay, Ivan A., 2010. "Simultaneous selection and weighting of moments in GMM using a trapezoidal kernel," Journal of Econometrics, Elsevier, vol. 156(2), pages 284-303, June.
    14. Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2014. "Estimating Dynamic Equilibrium Models Using Mixed Frequency Macro and Financial Data," CESifo Working Paper Series 5030, CESifo.

  11. Guido M. Kuersteiner, 1999. "Efficiency IV Estimation for Autoregressive Models with Conditional Heterogeneity," Working papers 99-08, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Robinson, Peter M. & Henry, M., 1999. "Long and short memory conditional heteroskedasticity in estimating the memory parameter of levels," LSE Research Online Documents on Economics 304, London School of Economics and Political Science, LSE Library.

Articles

  1. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    See citations under working paper version above.
  2. Kuersteiner, Guido M., 2019. "Invariance principles for dependent processes indexed by Besov classes with an application to a Hausman test for linearity," Journal of Econometrics, Elsevier, vol. 211(1), pages 243-261.

    Cited by:

    1. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    2. Lei Wang & Zengrui Qi & Qinghua Pang & Yibo Xiang & Yanli Sun, 2020. "Analysis on the Agricultural Green Production Efficiency and Driving Factors of Urban Agglomerations in the Middle Reaches of the Yangtze River," Sustainability, MDPI, vol. 13(1), pages 1-18, December.

  3. Joshua D. Angrist & Òscar Jordà & Guido M. Kuersteiner, 2018. "Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 371-387, July.
    See citations under working paper version above.
  4. Kuersteiner, Guido M. & Phillips, David C. & Villamizar-Villegas, Mauricio, 2018. "Effective sterilized foreign exchange intervention? Evidence from a rule-based policy," Journal of International Economics, Elsevier, vol. 113(C), pages 118-138.
    See citations under working paper version above.
  5. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.

    Cited by:

    1. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
    2. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    3. Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2012. "Parametric Inference and Dynamic State Recovery from Option Panels," Global COE Hi-Stat Discussion Paper Series gd12-266, Institute of Economic Research, Hitotsubashi University.
    4. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo.
    5. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    6. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    7. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    8. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2021. "Linear IV regression estimators for structural dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 222(1), pages 778-804.
    9. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    10. Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
    11. Abhimanyu Gupta, 2020. "Efficient closed-form estimation of large spatial autoregressions," Papers 2008.12395, arXiv.org, revised May 2021.
    12. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    13. Clemens Possnig & Andreea Rotu{a}rescu & Kyungchul Song, 2022. "Estimating Dynamic Spillover Effects along Multiple Networks in a Linear Panel Model," Papers 2211.08995, arXiv.org.
    14. G. Forchini & Bin Jiang & Bin Peng, 2015. "Common Shocks in panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 8/15, Monash University, Department of Econometrics and Business Statistics.
    15. Peter Egger & Andreas Lindenblatt, 2015. "Endogenous risk-taking and physical appearance of sex workers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(9), pages 941-949, December.
    16. Matteo Barigozzi, 2022. "On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis," Papers 2211.01921, arXiv.org, revised Jul 2023.
    17. Giovanni Forchini & Bin Jiang & Bin Peng, 2018. "TSLS and LIML Estimators in Panels with Unobserved Shocks," Econometrics, MDPI, vol. 6(2), pages 1-12, April.
    18. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    19. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    20. Ghysels, Eric, 2014. "Factor Analysis with Large Panels of Volatility Proxies," CEPR Discussion Papers 10034, C.E.P.R. Discussion Papers.
    21. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
    22. Giovanni Forchini & Bin Peng, 2016. "A Conditional Approach to Panel Data Models with Common Shocks," Econometrics, MDPI, vol. 4(1), pages 1-12, January.
    23. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
    24. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.
    25. Jeong, Hanbat & Lee, Lung-fei, 2021. "Spatial dynamic game models for coevolution of intertemporal economic decision-making and spatial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    26. Abdelkamel Alj & Rajae Azrak & Guy Melard, 2014. "On Conditions in Central Limit Theorems for Martingale Difference Arrays Long Version," Working Papers ECARES ECARES 2014-05, ULB -- Universite Libre de Bruxelles.

  6. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.

    Cited by:

    1. Carrasco, Marine & Tchuente, Guy, 2015. "Regularized LIML for many instruments," Journal of Econometrics, Elsevier, vol. 186(2), pages 427-442.
    2. Emile van Ommeren & Giulia Piccillo, 2019. "The Central Bank Governor and Interest Rate Setting by Committee," CESifo Working Paper Series 7822, CESifo.
    3. Carrasco, Marine, 2012. "A regularization approach to the many instruments problem," Journal of Econometrics, Elsevier, vol. 170(2), pages 383-398.
    4. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    5. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    6. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    7. Guy Tchuente, 2019. "Weak Identification and Estimation of Social Interaction Models," Papers 1902.06143, arXiv.org.

  7. Hahn, Jinyong & Kuersteiner, Guido, 2011. "Bias Reduction For Dynamic Nonlinear Panel Models With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 27(6), pages 1152-1191, December.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    2. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2022. "Discretizing Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 90(2), pages 625-643, March.
    3. Vivian Norambuena, 2015. "Sovereign Debt Default: Are Countries Trapped by Their Own Default History?," Working Papers wp416, University of Chile, Department of Economics.
    4. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    7. Belkhir, Mohamed & Naceur, Sami Ben & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022. "Macroprudential policies, economic growth and banking crises," Emerging Markets Review, Elsevier, vol. 53(C).
    8. Dzemski, Andreas, 2017. "An empirical model of dyadic link formation in a network with unobserved heterogeneity," Working Papers in Economics 698, University of Gothenburg, Department of Economics, revised Apr 2018.
    9. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    10. Vira Semenova & Matt Goldman & Victor Chernozhukov & Matt Taddy, 2023. "Inference on heterogeneous treatment effects in high‐dimensional dynamic panels under weak dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 471-510, May.
    11. Lee, Yoonseok & Phillips, Peter C.B., 2015. "Model selection in the presence of incidental parameters," Journal of Econometrics, Elsevier, vol. 188(2), pages 474-489.
    12. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    14. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    15. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Carro, Jesús M. & Traferri, Alejandra, 2011. "State dependence and heterogeneity in health using a bias corrected fixed effects estimator," UC3M Working papers. Economics we1118, Universidad Carlos III de Madrid. Departamento de Economía.
    17. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    18. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    19. Manuel Arellano & Stéphane Bonhomme, 2007. "Robust priors in nonlinear panel data models," CeMMAP working papers CWP07/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    21. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    22. Jess Benhabib & Alejandro Corvalen & Mark M. Spiegel, 2011. "Reestablishing the income-democracy nexus," Working Paper Series 2011-09, Federal Reserve Bank of San Francisco.
    23. Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
    24. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers 2136, Banco de España.
    25. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers CWP08/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019. "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, vol. 212(1), pages 4-25.
    27. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    28. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    29. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
    30. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    31. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    32. Stefan Hochguertel & Henry Ohlsson, 2011. "Wealth mobility and dynamics over entire individual working life cycles," BCL working papers 56, Central Bank of Luxembourg.
    33. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    34. Francesco Bartolucci & Valentina Nigro & Claudia Pigini, 2018. "Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model," Econometric Reviews, Taylor & Francis Journals, vol. 37(1), pages 61-88, January.
    35. Ivan Fernandez-Val & Wayne Yuan Gao & Yuan Liao & Francis Vella, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," Papers 2202.04154, arXiv.org, revised Jan 2023.
    36. Liangjun Su & Zhentao Shi & Peter C.B. Phillips, 2014. "Identifying Latent Structures in Panel Data," Cowles Foundation Discussion Papers 1965, Cowles Foundation for Research in Economics, Yale University.
    37. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    38. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," CEPR Discussion Papers 12930, C.E.P.R. Discussion Papers.
    39. James Wolter, 2015. "Kernel Estimation Of Hazard Functions When Observations Have Dependent and Common Covariates," Economics Series Working Papers 761, University of Oxford, Department of Economics.
    40. Pigini, Claudia & Bartolucci, Francesco, 2022. "Conditional inference for binary panel data models with predetermined covariates," Econometrics and Statistics, Elsevier, vol. 23(C), pages 83-104.
    41. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    42. Bartolucci, Francesco & Nigro, Valentina & Pigini, Claudia, 2013. "Testing for state dependence in binary panel data with individual covariates," MPRA Paper 48233, University Library of Munich, Germany.
    43. Ivan Fernandez-Val & Martin Weidner, 2015. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 17/15, Institute for Fiscal Studies.
    44. Manuel Arellano & Jinyong Hahn, 2016. "A likelihood-Based Approximate Solution to the Incidental Parameter Problem in Dynamic Nonlinear Models with Multiple Effects," Global Economic Review, Taylor & Francis Journals, vol. 45(3), pages 251-274, July.
    45. Antonio F. Galvao & Jiaying Gu & Stanislav Volgushev, 2018. "On the Unbiased Asymptotic Normality of Quantile Regression with Fixed Effects," Papers 1807.11863, arXiv.org, revised Feb 2020.
    46. Panutat Satchachai & Peter Schmidt, 2010. "Estimates of technical inefficiency in stochastic frontier models with panel data: generalized panel jackknife estimation," Journal of Productivity Analysis, Springer, vol. 34(2), pages 83-97, October.
    47. Mingli Chen & Iv'an Fern'andez-Val & Martin Weidner, 2014. "Nonlinear Factor Models for Network and Panel Data," Papers 1412.5647, arXiv.org, revised Oct 2019.
    48. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2017. "Discretizing unobserved heterogeneity," IFS Working Papers W17/03, Institute for Fiscal Studies.
    49. Ivan Fernandez-Val & Martin Weidner, 2017. "Fixed effect estimation of large T panel data models," CeMMAP working papers 42/17, Institute for Fiscal Studies.
    50. Ivan Fernandez-Val & Joonhwah Lee, 2012. "Panel Data Models with Nonadditive Unobserved Heterogeneity: Estimation and Inference," Papers 1206.2966, arXiv.org, revised Oct 2013.
    51. Kajal Lahiri & Xian Li, 2020. "Smoking Behavior of Older Adults: A Panel Data Analysis Using HRS," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 495-523, September.
    52. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    53. Jinyong Hahn & David W. Hughes & Guido Kuersteiner & Whitney K. Newey, 2022. "Efficient Bias Correction for Cross-section and Panel Data," Papers 2207.09943, arXiv.org, revised Jan 2024.
    54. Koen Jochmans, 2023. "Bootstrap inference for fixed-effect models," French Stata Users' Group Meetings 2023 21, Stata Users Group.
    55. Bartolucci, Francesco & Pigini, Claudia & Valentini, Francesco, 2021. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," MPRA Paper 110031, University Library of Munich, Germany.
    56. Robinson, Peter M. & Velasco, Carlos, 2018. "Inference on trending panel data," Journal of Econometrics, Elsevier, vol. 206(2), pages 282-304.
    57. Andreas Dzemski, 2019. "An Empirical Model of Dyadic Link Formation in a Network with Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 763-776, December.
    58. Jin, Sainan, 2009. "Discrete choice modeling with nonstationary panels applied to exchange rate regime choice," Journal of Econometrics, Elsevier, vol. 150(2), pages 312-321, June.
    59. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    60. Martin Schumann & Thomas A. Severini & Gautam Tripathi, 2017. "Integrated Likelihood Based Inference for Nonlinear Panel Data Models with Unobserved Effects," DEM Discussion Paper Series 17-01, Department of Economics at the University of Luxembourg.
    61. Fernández-Val, Iván & Vella, Francis, 2011. "Bias corrections for two-step fixed effects panel data estimators," Journal of Econometrics, Elsevier, vol. 163(2), pages 144-162, August.
    62. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
    63. Carlos Iglesias Fernández & Raquel Llorente Heras, 2005. "Sectorial Structure, qualification characteristics and patterns of labour mobility," Working Papers 02/05, Instituto Universitario de Análisis Económico y Social.
    64. Lechner, Michael & Lollivier, Stefan & Magnac, Thierry, 2005. "Parametric Binary Choice Models," IDEI Working Papers 398, Institut d'Économie Industrielle (IDEI), Toulouse.
    65. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    66. Kim, Bokyung & Jeong, Jinook, 2017. "Dynamics of adolescents’ life satisfaction and effect of class rank percentile: Evidence from Korean panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 8-28.
    67. Pakel, Cavit, 2019. "Bias reduction in nonlinear and dynamic panels in the presence of cross-section dependence," Journal of Econometrics, Elsevier, vol. 213(2), pages 459-492.
    68. Amaresh Tiwari & Franz Palm, 2011. "Nonlinear Panel Data Models with Expected a Posteriori Values of Correlated Random Effects," CREPP Working Papers 1113, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège.
    69. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    70. Elizabeth Schroeder, 2016. "Dynamic labor supply adjustment with bias correction," Empirical Economics, Springer, vol. 51(4), pages 1623-1640, December.
    71. Chen, Stacey H. & Chen, Jennjou & Chuang, Hongwei & Lin, Tzu-Hsin, 2023. "Physicians Treating Physicians: Relational and Informational Advantages in Treatment and Survival," IZA Discussion Papers 16048, Institute of Labor Economics (IZA).
    72. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    73. Bartolucci, Francesco & Nigro, Valentina, 2012. "Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data," Journal of Econometrics, Elsevier, vol. 170(1), pages 102-116.
    74. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    75. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    76. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    77. Raghunandan, Aneesh & Ruchti, Thomas, 2024. "The impact of information frictions within regulators: evidence from workplace safety violations," LSE Research Online Documents on Economics 122404, London School of Economics and Political Science, LSE Library.
    78. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    79. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    80. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    81. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    82. Fernández-Val, Iván, 2009. "Fixed effects estimation of structural parameters and marginal effects in panel probit models," Journal of Econometrics, Elsevier, vol. 150(1), pages 71-85, May.
    83. Wolter, James Lewis, 2016. "Kernel estimation of hazard functions when observations have dependent and common covariates," Journal of Econometrics, Elsevier, vol. 193(1), pages 1-16.
    84. Ivan Fernandez-Val & Martin Weidner, 2014. "Individual and time effects in nonlinear panel models with large N , T," CeMMAP working papers 32/14, Institute for Fiscal Studies.
    85. Michel, Jon & de Jong, Robert M., 2018. "Mixing properties of the dynamic Tobit model with mixing errors," Economics Letters, Elsevier, vol. 162(C), pages 112-115.
    86. Liang Chen & Minyuan Zhang, 2023. "Common Correlated Effects Estimation of Nonlinear Panel Data Models," Papers 2304.13199, arXiv.org.
    87. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    88. Haruo Iwakura, 2014. "Deriving the Information Bounds for Nonlinear Panel Data Models with Fixed Effects," KIER Working Papers 886, Kyoto University, Institute of Economic Research.
    89. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    90. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased inference for dynamic nonlinear models with two-way fixed effects," Papers 2305.03134, arXiv.org, revised Oct 2023.
    91. Orcun Kaya, 2014. "Is perceived financial inadequacy persistent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 636-654, December.
    92. Rubin, Amir & Rubin, Eran & Segal, Dan, 2023. "Editor home bias?," Research Policy, Elsevier, vol. 52(6).
    93. Costanza Naguib, 2022. "Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1379-1402, November.
    94. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and time effects in nonlinear panel models with large N, T," CeMMAP working papers 60/13, Institute for Fiscal Studies.
    95. Carro, Jesús M. & Traferri, Alejandra, 2009. "Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status," UC3M Working papers. Economics we094021, Universidad Carlos III de Madrid. Departamento de Economía.
    96. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    97. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    98. Manuel Arellano & Jinyong Hahn, 2005. "Understanding Bias in Nonlinear Panel Models: Some Recent Developments," Working Papers wp2005_0507, CEMFI.
    99. Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
    100. Francesco Bartolucci† & Valentina Nigro, 2007. "A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator," CEIS Research Paper 97, Tor Vergata University, CEIS.
    101. Yoshitsugu Kitazawa, 2013. "Exploration of dynamic fixed effects logit models from a traditional angle," Discussion Papers 60, Kyushu Sangyo University, Faculty of Economics.

  8. Joshua D. Angrist & Guido M. Kuersteiner, 2011. "Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 725-747, August.
    See citations under working paper version above.
  9. Guido Kuersteiner & Ryo Okui, 2010. "Constructing Optimal Instruments by First-Stage Prediction Averaging," Econometrica, Econometric Society, vol. 78(2), pages 697-718, March.

    Cited by:

    1. Dennis Lim & Wenjie Wang & Yichong Zhang, 2022. "A Conditional Linear Combination Test with Many Weak Instruments," Papers 2207.11137, arXiv.org, revised Apr 2023.
    2. Michel Berthélemy & Petyo Bonev & Damien Dussaux & Magnus Söderberg, 2018. "Methods for strengthening a weak instrument in the case of a persistent treatment," Post-Print hal-01829558, HAL.
    3. Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023. "Over-identified Doubly Robust identification and estimation," Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
    4. Cheng, Xu & Liao, Zhipeng, 2015. "Select the valid and relevant moments: An information-based LASSO for GMM with many moments," Journal of Econometrics, Elsevier, vol. 186(2), pages 443-464.
    5. Liu, Chu-An & Tao, Jing, 2016. "Model selection and model averaging in nonparametric instrumental variables models," MPRA Paper 69492, University Library of Munich, Germany.
    6. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    7. Zhang, Xinyu & Ullah, Aman & Zhao, Shangwei, 2016. "On the dominance of Mallows model averaging estimator over ordinary least squares estimator," Economics Letters, Elsevier, vol. 142(C), pages 69-73.
    8. Seojeong Lee & Youngki Shin, 2021. "Complete subset averaging with many instruments," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 290-314.
    9. Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
    10. Jeffrey S. Racine & Qi Li & Li Zheng, 2018. "Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions," Department of Economics Working Papers 2018-10, McMaster University.
    11. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.
    12. Seojeong Lee & Siha Lee & Julius Owusu & Youngki Shin, 2022. "csa2sls: A complete subset approach for many instruments using Stata," Papers 2207.01533, arXiv.org, revised Apr 2023.
    13. Caner, Mehmet & Fan, Qingliang, 2015. "Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso," Journal of Econometrics, Elsevier, vol. 187(1), pages 256-274.
    14. Francis J. DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 14-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2014.
    15. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    16. Victor Chernozhukov & Ivan Fernandez-Val & Chen Huang & Weining Wang, 2024. "Arellano-bond lasso estimator for dynamic linear panel models," CeMMAP working papers 09/24, Institute for Fiscal Studies.
    17. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    18. Lim, Dennis & Wang, Wenjie & Zhang, Yichong, 2024. "A conditional linear combination test with many weak instruments," Journal of Econometrics, Elsevier, vol. 238(2).
    19. Wang, Wenjie & Kaffo, Maximilien, 2016. "Bootstrap inference for instrumental variable models with many weak instruments," Journal of Econometrics, Elsevier, vol. 192(1), pages 231-268.
    20. Lu, Xun & Su, Liangjun, 2015. "Jackknife model averaging for quantile regressions," Journal of Econometrics, Elsevier, vol. 188(1), pages 40-58.
    21. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    22. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    23. Tomohiro Ando & Naoya Sueishi, 2019. "On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator," Econometrics, MDPI, vol. 7(1), pages 1-14, March.
    24. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    25. Aman Ullah & Xinyu Zhang, 2015. "Grouped Model Averaging for Finite Sample Size," Working Papers 201501, University of California at Riverside, Department of Economics.
    26. Chirok Han & Hyoungjong Kim, 2023. "Dynamic panel GMM estimators with improved finite sample properties using parametric restrictions for dimension reduction," Empirical Economics, Springer, vol. 64(6), pages 2589-2610, June.
    27. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    28. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Yang Feng & Qingfeng Liu, 2020. "Nested Model Averaging on Solution Path for High-dimensional Linear Regression," Papers 2005.08057, arXiv.org.
    30. Seojeong Lee & Youngki Shin, 2018. "Optimal Estimation with Complete Subsets of Instruments," Department of Economics Working Papers 2018-15, McMaster University.
    31. Francis DiTraglia, 2011. "Using Invalid Instruments on Purpose: Focused Moment Selection and Averaging for GMM, Second Version," PIER Working Paper Archive 15-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Aug 2015.
    32. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    33. Martins, Luis F. & Gabriel, Vasco J., 2014. "Linear instrumental variables model averaging estimation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 709-724.
    34. Xu Cheng & Zhipeng Liao, 2012. "Select the Valid and Relevant Moments: A One-Step Procedure for GMM with Many Moments," PIER Working Paper Archive 12-045, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    35. Tsay, Wen-Jen, 2021. "Estimating cartel damages with model averaging approaches," International Review of Law and Economics, Elsevier, vol. 68(C).

  10. Hahn, Jinyong & Kuersteiner, Guido, 2010. "Stationarity and mixing properties of the dynamic Tobit model," Economics Letters, Elsevier, vol. 107(2), pages 105-111, May.

    Cited by:

    1. Daniel Ordoñez-Callamand & Juan D. Hernandez-Leal & Mauricio Villamizar-Villegas, 2017. "When Multiple Objectives Meet Multiple Instruments: Identifying Simultaneous Monetary Shocks," Borradores de Economia 997, Banco de la Republica de Colombia.
    2. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Song, Shijia & Tian, Fei & Li, Handong, 2021. "An intraday-return-based Value-at-Risk model driven by dynamic conditional score with censored generalized Pareto distribution," Journal of Asian Economics, Elsevier, vol. 74(C).
    4. Daniele Massacci, 2017. "Tail Risk Dynamics in Stock Returns: Links to the Macroeconomy and Global Markets Connectedness," Management Science, INFORMS, vol. 63(9), pages 3072-3089, September.
    5. Michel, Jon & de Jong, Robert M., 2018. "Mixing properties of the dynamic Tobit model with mixing errors," Economics Letters, Elsevier, vol. 162(C), pages 112-115.
    6. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    7. Anna Bykhovskaya & James A. Duffy, 2022. "The Local to Unity Dynamic Tobit Model," Papers 2210.02599, arXiv.org, revised May 2024.

  11. Hausman, Jerry & Kuersteiner, Guido, 2008. "Difference in difference meets generalized least squares: Higher order properties of hypotheses tests," Journal of Econometrics, Elsevier, vol. 144(2), pages 371-391, June.
    See citations under working paper version above.
  12. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.

    Cited by:

    1. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    2. Elsas, Ralf & Florysiak, David, 2008. "Empirical Capital Structure Research: New Ideas, Recent Evidence, and Methodological Issues," Discussion Papers in Business Administration 4743, University of Munich, Munich School of Management.
    3. Kim, Tae-Nyun & Kim, Kihun, 2018. "External cost of leverage adjustment: Evidence from defined benefit pension plans," Journal of Economics and Business, Elsevier, vol. 96(C), pages 1-14.
    4. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    5. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    6. Musa, Umar & Jun, Wen, 2020. "Does inflation targeting cause financial instability?: An empirical test of paradox of credibility hypothesis," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    7. Ulubasoglu, Mehmet Ali & Yaraşır-Tülümce, Sevinç, 2019. "Pork and Turkey: Distributive Politics in the Allocation of Public Investments into Turkish Electoral Districts 1987–2004," MPRA Paper 96842, University Library of Munich, Germany.
    8. Acemoglu, Daron & Johnson, Simon & Robinson, James A. & Yared, Pierre, 2009. "Reevaluating the modernization hypothesis," Journal of Monetary Economics, Elsevier, vol. 56(8), pages 1043-1058, November.
    9. Hovakimian, Armen & Li, Guangzhong, 2011. "In search of conclusive evidence: How to test for adjustment to target capital structure," Journal of Corporate Finance, Elsevier, vol. 17(1), pages 33-44, February.
    10. Zhou, Qing & Faff, Robert & Alpert, Karen, 2014. "Bias correction in the estimation of dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 494-513.
    11. Serrasqueiro, Zélia & Nunes, Paulo Maçãs, 2010. "Non-linear relationships between growth opportunities and debt: Evidence from quoted Portuguese companies," Journal of Business Research, Elsevier, vol. 63(8), pages 870-878, August.
    12. Hu, Juncheng, 2021. "Do facilitation payments affect earnings management? Evidence from China," Journal of Corporate Finance, Elsevier, vol. 68(C).
    13. Surenderrao Komera & P. J. Jijo Lukose, 2016. "Heterogeneity and Asymmetry in Speed of Leverage Adjustment: The Indian Experience," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-26, September.
    14. Davis, Matt & Vedder, Andrea & Stone, Joe, 2015. "Local Tax Limits, Student Achievement, and School-Finance Equalization," MPRA Paper 63704, University Library of Munich, Germany.
    15. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    16. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    17. Huaccha, Gissell, 2023. "Regional persistence of the energy efficiency gap: Evidence from England and Wales," Energy Economics, Elsevier, vol. 127(PA).
    18. Yongfu Huang & Jingjing He & Finn Tarp, 2012. "Is the Clean Development Mechanism Promoting Sustainable Development?," WIDER Working Paper Series wp-2012-072, World Institute for Development Economic Research (UNU-WIDER).
    19. Giorgio Canarella & Stephen M. Miller, 2019. "Determinants of Optimal Capital Structure and Speed of Adjustment: Evidence from the U.S. ICT Sector," Working papers 2019-06, University of Connecticut, Department of Economics.
    20. Shu Wen Ng & Edward C. Norton & David K. Guilkey & Barry M. Popkin, 2010. "Estimation of a Dynamic Model of Weight," NBER Working Papers 15864, National Bureau of Economic Research, Inc.
    21. Thomas J. Kniesner & W. Kip Viscusi & Christopher Woock & James P. Ziliak, 2010. "The Value of a Statistical Life: Evidence from Panel Data," Center for Policy Research Working Papers 122, Center for Policy Research, Maxwell School, Syracuse University.
    22. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    23. Samatas, Andreas & Makrominas, Michalis & Moro, Andrea, 2019. "Financial intermediation, capital composition and income stagnation: The case of Europe," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 273-289.
    24. Sedova, Barbora & Kalkuhl, Matthias, 2020. "Who are the climate migrants and where do they go? Evidence from rural India," World Development, Elsevier, vol. 129(C).
    25. Kryzanowski, Lawrence & Mohebshahedin, Mahmood, 2016. "Board governance, monetary interest, and closed-end fund performance," Journal of Corporate Finance, Elsevier, vol. 38(C), pages 196-217.
    26. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    27. Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    28. Dörffel, Christoph & Freytag, Andreas, 2023. "The poverty effect of democratization," World Development, Elsevier, vol. 165(C).
    29. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    30. Tue Gørgens & Christopher L. Skeels & Allan H. Würtz, 2009. "Efficient Estimation of Non-Linear Dynamic Panel Data Models with Application to Smooth Transition Models," CREATES Research Papers 2009-51, Department of Economics and Business Economics, Aarhus University.
    31. İbrahim Yarba & Z. Nuray Güner, 2020. "Leverage dynamics: Do financial development and government leverage matter? Evidence from a major developing economy," Empirical Economics, Springer, vol. 59(5), pages 2473-2507, November.
    32. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    33. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    34. Badi H. Baltagi, 2013. "Dynamic panel data models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 10, pages 229-248, Edward Elgar Publishing.
    35. Ottorino Morresi & Alessia Naccarato, 2016. "Are Family Firms Different in Choosing and Adjusting Their Capital Structure? An Empirical Analysis through the Lens of Agency Theory," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 216-216, July.
    36. Christoph Doerffel & Peter Draper & Andreas Freytag & Sebastian Schuhmann, 2021. "Drivers of Inclusive Development: An Empirical Investigation," Jena Economics Research Papers 2021-015, Friedrich-Schiller-University Jena.
    37. Navarro, Lucas, 2009. "Employment dynamics and crises in Latin America," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    38. Han, Chirok & Phillips, Peter C. B. & Sul, Donggyu, 2014. "X-Differencing And Dynamic Panel Model Estimation," Econometric Theory, Cambridge University Press, vol. 30(1), pages 201-251, February.
    39. Li, Xiao-Ming & Qiu, Mei, 2021. "The joint effects of economic policy uncertainty and firm characteristics on capital structure: Evidence from US firms," Journal of International Money and Finance, Elsevier, vol. 110(C).
    40. Mountford, Andrew & Wadsworth, Jonathan, 2023. "‘Good jobs’, training and skilled immigration," LSE Research Online Documents on Economics 118784, London School of Economics and Political Science, LSE Library.
    41. Cseres-Gergely, Zsombor & Kvedaras, Virmantas, 2020. "China's WTO accession and income inequality in European regions: External pressure and internal adjustments," Working Papers 2020-01, Joint Research Centre, European Commission.
    42. Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
    43. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2012. "Asymmetric capital structure adjustments: New evidence from dynamic panel threshold models," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 465-482.
    44. In Choi, 2016. "Cross-sectional maximum likelihood and bias-corrected pooled least squares estimators for dynamic panels with short T," Working Papers 1610, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    45. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    46. Apergis, Nicholas & Voliotis, Dimitrios, 2015. "Spillover effects between lit and dark stock markets: Evidence from a panel of London Stock Exchange transactions," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 101-106.
    47. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.
    48. Morais, Flávio & Serrasqueiro, Zélia & Ramalho, Joaquim J.S., 2022. "Capital structure speed of adjustment heterogeneity across zero leverage and leveraged European firms," Research in International Business and Finance, Elsevier, vol. 62(C).
    49. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.
    50. Masato Nishiwaki & Hyoeg Ug Kwon, 2013. "Are Losers Picked? An Empirical Analysis of Capacity Divestment and Production Reallocation in the Japanese Cement Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 430-467, June.
    51. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Liu, Guangqiang & Ibrahim, Mansor, 2021. "Ethical investing and capital structure," Emerging Markets Review, Elsevier, vol. 47(C).
    52. Jerry A. Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," Staff Reports 824, Federal Reserve Bank of New York.
    53. Wolfgang Drobetz & Dirk C. Schilling & Henning Schröder, 2015. "Heterogeneity in the Speed of Capital Structure Adjustment across Countries and over the Business Cycle," European Financial Management, European Financial Management Association, vol. 21(5), pages 936-973, November.
    54. Cho, Dooyeon & Im, Pullip, 2023. "Effects of monetary policy uncertainty on debt financing: Evidence from Korean heterogeneous firms," Journal of International Money and Finance, Elsevier, vol. 139(C).
    55. Giorgio Canarella & Stephen M. Miller, 2019. "Firm Size, Corporate Debt, R&D Activity, and Agency Costs: Exploring Dynamic and Non-Linear Effects," Working papers 2019-05, University of Connecticut, Department of Economics.
    56. Narayan, Paresh Kumar & Nasiri, Maryam Akbari, 2020. "Understanding corporate debt from the oil market perspective," Energy Economics, Elsevier, vol. 92(C).
    57. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    58. Doucouliagos, Chris & Hennessy, Jack & Mallick, Debdulal, 2019. "Health Aid, Governance and Infant Mortality," IZA Discussion Papers 12166, Institute of Labor Economics (IZA).
    59. Okui, Ryo, 2008. "Panel AR(1) estimators under misspecification," Economics Letters, Elsevier, vol. 101(3), pages 210-213, December.
    60. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    61. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
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    63. Barbora Sedova & Matthias Kalkuhl & Robert Mendelsohn, 2020. "Distributional Impacts of Weather and Climate in Rural India," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 5-44, April.
    64. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.
    65. Filippo Ippolito & Alessandro Villa, 2022. "Levered Returns and Capital Structure Imbalances," Working Paper Series WP 2022-42, Federal Reserve Bank of Chicago.
    66. Mohammad Reza Farzanegan & Mehdi Feizi & Hassan F. Gholipour, 2021. "Drought and Property Prices: Empirical Evidence from Provinces of Iran," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 203-221, July.
    67. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
    68. Jingjing He & Yongfu Huang & Finn Tarp, 2014. "Has the Clean Development Mechanism assisted sustainable development?," Natural Resources Forum, Blackwell Publishing, vol. 38(4), pages 248-260, November.
    69. Natalia Szomko, 2017. "The Importance of Estimation Method Choice for the Analysis of the Determinants of Capital Structure– An Example of Poland," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 3(1), pages 3-20, June.
    70. Gonzalo Rubio & Francisco Sogorb, 2011. "The Adjustment To Target Leverage Of Spanish Public Firms: Macroeconomic Conditions And Distance From Target," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(3), pages 35-63, Winter.
    71. Jerry Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," CeMMAP working papers CWP53/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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  13. Kuersteiner, Guido M., 2005. "Automatic Inference For Infinite Order Vector Autoregressions," Econometric Theory, Cambridge University Press, vol. 21(1), pages 85-115, February.

    Cited by:

    1. Bauer, Dietmar, 2009. "Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 397-421, March.
    2. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    3. Dietmar Bauer & Martin Wagner, 2005. "Autoregressive Approximations of Multiple Frequency I(1) Processes," Economics Working Papers ECO2005/09, European University Institute.
    4. Lee, Yoon-Jin & Okui, Ryo & Shintani, Mototsugu, 2018. "Asymptotic inference for dynamic panel estimators of infinite order autoregressive processes," Journal of Econometrics, Elsevier, vol. 204(2), pages 147-158.
    5. Laura Mayoral, 2009. "Heterogeneous dynamics, aggregation and the persistence of economic shocks," UFAE and IAE Working Papers 786.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
    7. Abhimanyu Gupta & Myung Hwan Seo, 2023. "Robust Inference on Infinite and Growing Dimensional Time‐Series Regression," Econometrica, Econometric Society, vol. 91(4), pages 1333-1361, July.
    8. Mayer, Alexander, 2020. "(Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models," Economics Letters, Elsevier, vol. 193(C).
    9. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    10. Mayoral, Laura & Dolores Gadea, María, 2011. "Aggregate real exchange rate persistence through the lens of sectoral data," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 290-304.
    11. Eric JONDEAU & Florian PELGRIN, 2014. "Estimating Aggregate Autoregressive Processes When Only Macro Data are Available," Swiss Finance Institute Research Paper Series 14-43, Swiss Finance Institute.
    12. Zhongjun Qu & Pierre Perron, 2006. "A Modified Information Criterion for Cointegration Tests based on a VAR Approximation," Boston University - Department of Economics - Working Papers Series WP2006-011, Boston University - Department of Economics.
    13. Oscar Jorda & Alan Taylor & Sanjay Singh, 2019. "The Long-Run Effects of Monetary Policy," 2019 Meeting Papers 1307, Society for Economic Dynamics.
    14. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    15. Laura Mayoral, 2013. "Heterogeneous Dynamics, Aggregation, And The Persistence Of Economic Shocks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1295-1307, November.
    16. Theodoridis, Konstantinos, 2011. "An efficient minimum distance estimator for DSGE models," Bank of England working papers 439, Bank of England.
    17. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2024. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 116-151, March.
    18. Laura Mayoral & María Dolores Gadea, 2009. "Analyzing aggregate real exchange rate persistence through the lens of sectoral data," Working Papers 399, Barcelona School of Economics.
    19. ChaeWon Baek & Byoungchan Lee, 2022. "A Guide to Autoregressive Distributed Lag Models for Impulse Response Estimations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1101-1122, October.
    20. Erhua Zhang & Xiaojun Song & Jilin Wu, 2022. "A non‐parametric test for multi‐variate trend functions," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(6), pages 856-871, November.

  14. Hahn, Jinyong & Kuersteiner, Guido & Cho, Myeong Hyeon, 2004. "Asymptotic distribution of misspecified random effects estimator for a dynamic panel model with fixed effects when both n and T are large," Economics Letters, Elsevier, vol. 84(1), pages 117-125, July.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2007. "Robust priors in nonlinear panel data models," CeMMAP working papers CWP07/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    3. Rodrigo Alfaro, 2008. "Estimation of a Dynamic Panel Data: The Case Of Corporate Investment in Chile," Working Papers Central Bank of Chile 467, Central Bank of Chile.

  15. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2004. "Estimation with weak instruments: Accuracy of higher-order bias and MSE approximations," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 272-306, June.

    Cited by:

    1. Ken Yamada, 2010. "Intertemporal Substitution in the Time Allocation of Married Women," Working Papers 27-2010, Singapore Management University, School of Economics.
    2. Ćorić, Bruno & Pugh, Geoff, 2013. "Foreign direct investment and output growth volatility: A worldwide analysis," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 260-271.
    3. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    4. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    5. McCord, Gordon C. & Conley, Dalton & Sachs, Jeffrey D., 2017. "Malaria ecology, child mortality & fertility," Economics & Human Biology, Elsevier, vol. 24(C), pages 1-17.
    6. Roberto Ricciuti & Antonio Savoia & Kunal Sen, 2016. "How do political institutions affect fiscal capacity? Explaining taxation in developing economies," Global Development Institute Working Paper Series esid-059-16, GDI, The University of Manchester.
    7. Woo, Jaejoon, 2011. "Growth, income distribution, and fiscal policy volatility," Journal of Development Economics, Elsevier, vol. 96(2), pages 289-313, November.
    8. Hausman, Jerry & Stock, James H. & Yogo, Motohiro, 2005. "Asymptotic properties of the Hahn-Hausman test for weak-instruments," Economics Letters, Elsevier, vol. 89(3), pages 333-342, December.
    9. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    10. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    11. Russell Davidson & James MacKinnon, 2006. "Moments Of Iv And Jive Estimators," Departmental Working Papers 2006-22, McGill University, Department of Economics.
    12. John Chao & Jerry Hausman & Whitney Newey & Norman Swanson & Tiemen Woutersen, 2013. "An Expository Note on the Existence of Moments of Fuller and HFUL Estimators," Departmental Working Papers 201311, Rutgers University, Department of Economics.
    13. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    14. Adrián Rial & Rafael Fernández, 2023. "Does tertiarisation slow down productivity growth? A Kaldorian–Baumolian analysis across 10 developed economies," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 188-222, February.
    15. Sheila M. Olmstead & Hilary Sigman, 2014. "Damming the Commons: An Empirical Analysis of International Cooperation and Conflict in Dam Location," NBER Working Papers 20389, National Bureau of Economic Research, Inc.
    16. Rodrigo Alfaro, 2008. "Higher Order Properties of the Symmetricallr Normalized Instrumental Variable Estimator," Working Papers Central Bank of Chile 500, Central Bank of Chile.
    17. Alexandre Dmitriev, 2013. "Institutions and growth: evidence from estimation methods robust to weak instruments," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1625-1635, May.
    18. James G. MacKinnon & Russell Davidson, 2006. "The case against JIVE," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 827-833.
    19. Tae Ho Eom & William Duncombe & Phuong Nguyen-Hoang & John Yinger, 2014. "The Unintended Consequences of Property Tax Relief: New York’s STAR Program," Education Finance and Policy, MIT Press, vol. 9(4), pages 446-480, October.
    20. Frölich, Markus & Lechner, Michael, 2006. "Exploiting Regional Treatment Intensity for the Evaluation of Labour Market Policies," IZA Discussion Papers 2144, Institute of Labor Economics (IZA).
    21. Jerry Hausman & Whitney K. Newey & Tiemen M. Woutersen & John Chao & Norman Swanson, 2007. "Instrumental variable estimation with heteroskedasticity and many instruments," CeMMAP working papers CWP22/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Jeremy Edwards & Sheilagh Ogilvie, 2022. "Did the Black Death cause economic development by ‘inventing’ fertility restriction? [Land use and management in the upland demesne of the De Lacy estate of Blackburnshire c. 1300]," Oxford Economic Papers, Oxford University Press, vol. 74(4), pages 1228-1246.
    23. Hanushek, Eric A. & Wößmann, Ludger, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Munich Reprints in Economics 20400, University of Munich, Department of Economics.
    24. Marcelo J. Moreira & Jack R. Porter & Gustavo A. Suarez, 2004. "Bootstrap and Higher-Order Expansion Validity When Instruments May Be Weak," Harvard Institute of Economic Research Working Papers 2048, Harvard - Institute of Economic Research.
    25. Ashim Kumar Kar, 2012. "Does capital and financing structure have any relevance to the performance of microfinance institutions?," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(3), pages 329-348, March.
    26. Kodila-Tedika, Oasis & Khalifa, Sherif, 2020. "Leaders’ Foreign Travel and Foreign Investment Inflows," MPRA Paper 98625, University Library of Munich, Germany.
    27. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
    28. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    29. Mari Rege & Kjetil Telle & Mark Votruba, 2007. "Social Interaction Effects in Disability Pension Participation. Evidence from Plant Downsizing," Discussion Papers 496, Statistics Norway, Research Department.
    30. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.
    31. Hanushek, Eric A. & Wößmann, Ludger, 2012. "Schooling, educational achievement, and the Latin American growth puzzle," Munich Reprints in Economics 20399, University of Munich, Department of Economics.
    32. Asma Boussetta, 2022. "Microfinance, Poverty and Education," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(1), pages 86-108, March.
    33. Arcand, Jean-Louis & Ai, Chunrong & Ethier, Francois, 2007. "Moral hazard and Marshallian inefficiency: Evidence from Tunisia," Journal of Development Economics, Elsevier, vol. 83(2), pages 411-445, July.
    34. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
    35. Cosmin Ilut & Peter Benczur, 2010. "Evidence for Relational Contracts in Sovereign Bank Lending," 2010 Meeting Papers 91, Society for Economic Dynamics.
    36. Nadir ALTINOK & Abdurrahman AYDEMIR, 2017. "Does one size fit all? The impact of cognitive skills on economic growth," Working Paper fe6bac64-da74-4fe1-b551-7, Agence française de développement.
    37. Tomasz Wisniewski & Geoffrey Lightfoot & Simon Lilley, 2012. "Speculating on presidential success: exploring the link between the price–earnings ratio and approval ratings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 106-122, January.
    38. A. Belloni & D. Chen & V. Chernozhukov & C. Hansen, 2012. "Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain," Econometrica, Econometric Society, vol. 80(6), pages 2369-2429, November.
    39. Zhen Cui & Yalan Feng, 2017. "Wealthy Hand-to-Mouth Households in China," Asian Economic Journal, East Asian Economic Association, vol. 31(3), pages 275-297, September.
    40. Marjan Petreski, 2010. "An Overhaul of a Doctrine: Has Inflation Targeting Opened a New Era in Developing-country Peggers?," FIW Working Paper series 057, FIW.
    41. Jakob Brochner Madsen & MD. Rabiul Islam & Hristos Doucouliagos, 2016. "Inequality, Financial Development and Economic Growth in the OECD, 1870-2011," Monash Economics Working Papers 18-16, Monash University, Department of Economics.
    42. Hausman, Jerry & Lewis, Randall & Menzel, Konrad & Newey, Whitney, 2011. "Properties of the CUE estimator and a modification with moments," Journal of Econometrics, Elsevier, vol. 165(1), pages 45-57.
    43. P. Dorian Owen & Stephen Knowles, 2008. "Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-country Health Status," Working Papers 0811, University of Otago, Department of Economics, revised Dec 2008.
    44. Roberto Ricciuti & Antonio Savoia & Kunal Sen, 2019. "What determines administrative capacity in developing countries?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(5), pages 972-998, October.
    45. Néstor Gandelman & Ana Balsa & Nicolás González, 2012. "Peer Effects in Risk Aversion," Development Research Working Paper Series 11/2012, Institute for Advanced Development Studies.
    46. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    47. Korpi, Tomas & Tåhlin, Michael, 2009. "Educational mismatch, wages, and wage growth: Overeducation in Sweden, 1974-2000," Labour Economics, Elsevier, vol. 16(2), pages 183-193, April.
    48. Korpi, Tomas & Tåhlin, Michael, 2007. "Educational mismatch, wages, and wage growth: Overeducation in Sweden, 1974-2000," Working Paper Series 10/2007, Stockholm University, Swedish Institute for Social Research.
    49. Katsushi S. Imai & Raghav Gaiha & Constanza Di Nucci, 2014. "Agricultural Employment, Wages and Poverty in Developing Countries," Global Development Institute Working Paper Series 20914, GDI, The University of Manchester.
    50. Aleksandra Rutkowska & Magdalena Szyszko, 2022. "New DTW Windows Type for Forward- and Backward-Lookingness Examination. Application for Inflation Expectation," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 701-718, February.
    51. Ephraim Kwashie Thompson & Changki Kim, 2020. "Post-M&A Performance and Failure: Implications of Time until Deal Completion," Sustainability, MDPI, vol. 12(7), pages 1-31, April.
    52. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    53. Natalia Khorunzhina, 2019. "Intratemporal nonseparability between housing and nondurable consumption: evidence from reinvestment in housing stock," CESifo Working Paper Series 7663, CESifo.
    54. Simon Wiederhold, 2012. "The Role of Public Procurement in Innovation: Theory and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 43.
    55. Nguyen-Hoang, Phuong & Yeung, Ryan, 2010. "What is paratransit worth?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 841-853, December.
    56. Attanasio, O. & Levell, P. & Low, H. & Sanchez-Marcos, V., 2017. "Aggregating Elasticities: Intensive and Extensive Margins of Female Labour Supply," Cambridge Working Papers in Economics 1711, Faculty of Economics, University of Cambridge.
    57. Bonleu, A. & Cette, G. & Horny, G., 2011. "Capital Utilisation and Retirement," Working papers 343, Banque de France.
    58. Lei Bill Wang, 2023. "Estimating overidentified linear models with heteroskedasticity and outliers," Papers 2305.17615, arXiv.org, revised Apr 2024.
    59. Martin Emil Jakobsen & Jonas Peters, 2020. "Distributional robustness of K-class estimators and the PULSE," Papers 2005.03353, arXiv.org, revised Mar 2022.
    60. Kwak, Sungil, 2011. "The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study," MPRA Paper 36845, University Library of Munich, Germany.
    61. Peter Claeys & Luis Costa, 2012. "“A Note on the Relationship Between the Cyclicality of Markups and Fiscal Policy”," AQR Working Papers 201208, University of Barcelona, Regional Quantitative Analysis Group, revised Sep 2012.
    62. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," Journal of Econometrics, Elsevier, vol. 232(2), pages 346-366.
    63. Puertas, Rosa & Guaita-Martinez, José M. & Marti, Luisa, 2023. "Analysis of the impact of university policies on society's environmental perception," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    64. Rogelio Mercado Jr., 2017. "Are Capital Inflows Expansionary or Contractionary in the Philippines?," Working Papers wp27, South East Asian Central Banks (SEACEN) Research and Training Centre.
    65. Johannes Rincke & Christian Traxler, 2009. "Deterrence through Word of Mouth," CESifo Working Paper Series 2549, CESifo.
    66. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
    67. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    68. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2007. "Enhanced routines for instrumental variables/generalized method of moments estimation and testing," Stata Journal, StataCorp LP, vol. 7(4), pages 465-506, December.
    69. Syed Mansoob Murshed & Muhammad Badiuzzaman & Mohammad Habibullah Pulok, 2017. "Fiscal capacity and social protection expenditure in developing nations," WIDER Working Paper Series wp-2017-60, World Institute for Development Economic Research (UNU-WIDER).
    70. José María Durán-Cabré & Alejandro Esteller-Moré & Luca Salvadori, 2012. "Empirical evidence on horizontal competition in tax enforcement," Working Papers 2012/5, Institut d'Economia de Barcelona (IEB).
    71. Matsushita, Yukitoshi & Otsu, Taisuke, 2022. "A jackknife Lagrange multiplier test with many weak instruments," LSE Research Online Documents on Economics 116392, London School of Economics and Political Science, LSE Library.
    72. Ferede, Ergete & Dahlby, Bev, 2012. "The Impact of Tax Cuts on Economic Growth: Evidence From the Canadian Provinces," National Tax Journal, National Tax Association;National Tax Journal, vol. 65(3), pages 563-594, September.
    73. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    74. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    75. Christian Hansen & Jerry Hausman & Whitney K. Newey, 2006. "Estimation with many instrumental variables," CeMMAP working papers CWP19/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    76. Murray Michael P., 2017. "Linear Model IV Estimation When Instruments Are Many or Weak," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    77. Jean-Louis Arcand & Marcel Dagenais, 2011. "Errors in Variables and the Empirics of Economic Growth," Working Papers halshs-00564683, HAL.
    78. Xuexin WANG, 2021. "Instrumental variable estimation via a continuum of instruments with an application to estimating the elasticity of intertemporal substitution in consumption," Working Papers 2021-11-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    79. Meissner, Philip & Wulf, Torsten, 2014. "Antecendents and effects of decision comprehensiveness: The role of decision quality and perceived uncertainty," European Management Journal, Elsevier, vol. 32(4), pages 625-635.
    80. Yuan Ma & Qiang Zhang & Qiyue Yin, 2019. "Influence of Environmental Management on Green Process Innovation: Comparison of Multiple Mediating Effects Based on Routine Replication," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    81. Hussien, Abdurohman & Ahmed, Shakeel & Yousaf, Muhammed, 2012. "Does Trade Policy Explain Total Factor Productivity Differences Across Countries?," MPRA Paper 86594, University Library of Munich, Germany.
    82. Laszlo, Sonia, 2008. "Education, Labor Supply, and Market Development in Rural Peru," World Development, Elsevier, vol. 36(11), pages 2421-2439, November.
    83. Pierre Chausse, 2017. "Regularized Empirical Likelihood as a Solution to the No Moment," Working Papers 1708, University of Waterloo, Department of Economics, revised Nov 2017.
    84. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    85. Daniel A. Ackerberg & Paul J. Devereux, 2008. "Improved Jive Estimators for Overidentified Linear Models with and without Heteroskedasticity," Working Papers 200817, School of Economics, University College Dublin.
    86. Forchini, Giovanni, 2009. "The asymptotic distribution of Nagar's bias-adjusted TSLS estimator under partial identification," Economics Letters, Elsevier, vol. 105(1), pages 49-52, October.
    87. Makiela, Kamil & Ouattara, Bazoumana, 2018. "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, vol. 72(C), pages 296-305.
    88. Huai-Chun Lo & Shin-Rong Shiah-Hou, 2022. "The effect of CEO power on overinvestment," Review of Quantitative Finance and Accounting, Springer, vol. 59(1), pages 23-63, July.
    89. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2010. "LASSO Methods for Gaussian Instrumental Variables Models," Papers 1012.1297, arXiv.org, revised Feb 2011.
    90. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    91. Colin Cannonier & Monica Galloway Burke, 2017. "Tourism and financial development in small states," Tourism Economics, , vol. 23(6), pages 1369-1377, September.
    92. Phuong Nguyen-Hoang & Ryan Yeung & Alexander Bogin, 2014. "No Base Left Behind," Public Finance Review, , vol. 42(4), pages 439-465, July.
    93. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    94. Noud P.A. van Giersbergen, 2011. "Bootstrapping Subset Test Statistics in IV Regression," UvA-Econometrics Working Papers 11-08, Universiteit van Amsterdam, Dept. of Econometrics.
    95. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    96. Viktor Slavtchev & Simon Wiederhold, 2011. "The Impact of Government Procurement Composition on Private R&D Activities," Jena Economics Research Papers 2011-036, Friedrich-Schiller-University Jena.
    97. Jorge Gallego & Stanislao Maldonado & Lorena Trujillo, 2018. "Blessing a Curse? Institutional Reform and Resource Booms in Colombia," Documentos de Trabajo 16225, Universidad del Rosario.
    98. Xu (Susan) Tang, 2017. "Competition or Coordination: Strategic Environmental Policymaking Across OECD Countries," 2017 Papers pta721, Job Market Papers.
    99. Grigorios Spanos, 2019. "Firm organization and productivity across locations," Post-Print hal-02271020, HAL.
    100. Bassett, William & Demiralp, Selva & Lloyd, Nathan, 2020. "Government support of banks and bank lending," Journal of Banking & Finance, Elsevier, vol. 112(C).
    101. Berulava George & Chikava George, 2011. "The Determinants of Household Labor Supply: A Comparative Study," EERC Working Paper Series 11/13e, EERC Research Network, Russia and CIS.
    102. Asif Reza Anik & Siegfried Bauer, 2014. "Household Income and Relationships with Different Power Entities as Determinants of Corruption," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    103. Romanos Priftis & Anastasia Theofilakou, 2021. "Growth effects of corporate balance sheet adjustments in the EU," Empirical Economics, Springer, vol. 60(2), pages 773-801, February.
    104. Darwin Ugarte Ontiveros & Vincenzo Verardi, 2012. "Does aid induce brain drain? A panel data analysis," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-19, December.
    105. Jonathan Temple & Ludger Wößmann, 2006. "Dualism and cross-country growth regressions," ifo Working Paper Series 33, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    106. Bennett, Max & Yuan, Yue, 2016. "On the Price Spread of Benchmark Crude Oils: A Spatial Price Equilibrium Model," MPRA Paper 76024, University Library of Munich, Germany.
    107. Keita, Moussa, 2012. "Impact of subsidized inputs credits on land allocation and market-oriented agriculture in rural households in Mali," MPRA Paper 57542, University Library of Munich, Germany.
    108. Bekker, Paul A. & Crudu, Federico, 2012. "Symmetric Jackknife Instrumental Variable Estimation," MPRA Paper 37853, University Library of Munich, Germany.
    109. Ronald B. Davies & Helen T. Naughton, 2003. "Cooperation in Environmental Policy: A Spatial Approach," University of Oregon Economics Department Working Papers 2006-18, University of Oregon Economics Department, revised 10 Jun 2003.
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    111. Kweh, Qian Long & Tebourbi, Imen & Lo, Huai-Chun & Huang, Cheng-Tsu, 2022. "CEO compensation and firm performance: Evidence from financially constrained firms," Research in International Business and Finance, Elsevier, vol. 61(C).
    112. Yukitoshi Matsushita & Taisuke Otsu, 2020. "Second-order refinements for t-ratios with many instruments," STICERD - Econometrics Paper Series 612, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    113. Sule Alan & Kadir Atalay & Thomas F. Crossley, 2012. "Euler Equation Estimation on Micro Data," Koç University-TUSIAD Economic Research Forum Working Papers 1221, Koc University-TUSIAD Economic Research Forum.
    114. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    115. Marjan Petreski, 2013. "Overhaul of a Doctrine," Eastern European Economics, Taylor & Francis Journals, vol. 51(5), pages 46-68, September.
    116. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    117. Phillip, Garry & Xu, Yongdeng, 2016. "Almost Unbiased Variance Estimation in Simultaneous Equation Models," Cardiff Economics Working Papers E2016/10, Cardiff University, Cardiff Business School, Economics Section.
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    119. Patricia Funk & Christina Gathmann, 2011. "Does Direct Democracy Reduce the Size of Government? New Evidence from Historical Data, 1890–2000," Economic Journal, Royal Economic Society, vol. 121(557), pages 1252-1280, December.
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    122. Hymel, Kent, 2009. "Does traffic congestion reduce employment growth?," Journal of Urban Economics, Elsevier, vol. 65(2), pages 127-135, March.
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    247. Giles John & Murtazashvili Irina, 2013. "A Control Function Approach to Estimating Dynamic Probit Models with Endogenous Regressors," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 69-87, July.
    248. Golodniuk, Inna, 2006. "Evidence on the bank-lending channel in Ukraine," Research in International Business and Finance, Elsevier, vol. 20(2), pages 180-199, June.
    249. Juanjuan Zhuo & Masao Kumamoto, 2020. "Stock market reactions to COVID-19 and containment policies: A panel VAR approach," Economics Bulletin, AccessEcon, vol. 40(4), pages 3296-3305.
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    255. Jeong, Hanbat & Lee, Lung-fei, 2020. "Spatial dynamic models with intertemporal optimization: Specification and estimation," Journal of Econometrics, Elsevier, vol. 218(1), pages 82-104.
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  17. Kuersteiner, Guido M., 2002. "Efficient Iv Estimation For Autoregressive Models With Conditional Heteroskedasticity," Econometric Theory, Cambridge University Press, vol. 18(3), pages 547-583, June.

    Cited by:

    1. Oscar Jorda, 2007. "Joint Inference and Counterfactual experimentation for Impulse Response Functions by Local Projections," Working Papers 107, University of California, Davis, Department of Economics.
    2. West, Kenneth D, 2001. "On Optimal Instrumental Variables Estimation of Stationary Time Series Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1043-1050, November.
    3. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).
    4. Jean Jacod & Michael Sørensen, 2018. "A review of asymptotic theory of estimating functions," Statistical Inference for Stochastic Processes, Springer, vol. 21(2), pages 415-434, July.
    5. Nikolay Gospodinov & Taisuke Otsu, 2008. "Local GMM Estimation of Time Series Models with Conditional Moment Restrictions," Working Papers 08010, Concordia University, Department of Economics.
    6. Ke Zhu, 2018. "Statistical inference for autoregressive models under heteroscedasticity of unknown form," Papers 1804.02348, arXiv.org, revised Aug 2018.
    7. Kuersteiner, Guido M., 2001. "Optimal instrumental variables estimation for ARMA models," Journal of Econometrics, Elsevier, vol. 104(2), pages 359-405, September.
    8. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    9. Kenneth West & Ka-fu Wong & Stanislav Anatolyev, 2009. "Instrumental Variables Estimation of Heteroskedastic Linear Models Using All Lags of Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 28(5), pages 441-467.
    10. Kuersteiner, Guido M., 2012. "Kernel-weighted GMM estimators for linear time series models," Journal of Econometrics, Elsevier, vol. 170(2), pages 399-421.
    11. Oscar Jorda, 2007. "Inference for Impulse Responses," Working Papers 201, University of California, Davis, Department of Economics.
    12. Hansen, Bruce E., 2005. "Challenges For Econometric Model Selection," Econometric Theory, Cambridge University Press, vol. 21(1), pages 60-68, February.
    13. Douglas Hodgson, 2002. "Semiparametric Efficient Estimation of the Mean of a Time Series in the Presence of Conditional Heterogeneity of Unknown Form," Cahiers de recherche CREFE / CREFE Working Papers 146, CREFE, Université du Québec à Montréal.
    14. Prono Todd, 2018. "Closed-form estimators for finite-order ARCH models as simple and competitive alternatives to QMLE," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-25, December.

  18. Hahn, Jinyong & Kuersteiner, Guido, 2002. "Discontinuities of weak instrument limiting distributions," Economics Letters, Elsevier, vol. 75(3), pages 325-331, May.

    Cited by:

    1. Caner, Mehmet, 2014. "Near exogeneity and weak identification in generalized empirical likelihood estimators: Many moment asymptotics," Journal of Econometrics, Elsevier, vol. 182(2), pages 247-268.
    2. John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
    3. Maurice Bun & Frank Windmeijer, 2010. "A comparison of bias approximations for the 2SLS estimator," CeMMAP working papers CWP07/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Donna Feir & Thomas Lemieux & Vadim Marmer, 2016. "Weak Identification in Fuzzy Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 185-196, April.
    5. Maurice J.G. Bun & Frank Windmeijer, 2009. "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 09-086/4, Tinbergen Institute.
    6. Mehmet Caner, 2005. "Higher Order Expansions in GMM with Nearly Weak and Many Nearly Weak Instruments," Working Paper 209, Department of Economics, University of Pittsburgh, revised Jan 2005.
    7. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
    8. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    9. Bertille Antoine & Eric Renault, 2012. "Efficient Minimum Distance Estimation with Multiple Rates of Convergence," Discussion Papers dp12-03, Department of Economics, Simon Fraser University.
    10. Antoine, Bertille & Renault, Eric, 2020. "Testing identification strength," Journal of Econometrics, Elsevier, vol. 218(2), pages 271-293.
    11. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
    12. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    13. Xu Cheng, 2014. "Uniform Inference in Nonlinear Models with Mixed Identification Strength," PIER Working Paper Archive 14-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    15. Kapetanios, George & Marcellino, Massimiliano, 2010. "Factor-GMM estimation with large sets of possibly weak instruments," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2655-2675, November.
    16. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    17. Kapetanios, George & Marcellino, Massimiliano, 2010. "Cross-sectional averaging and instrumental variable estimation with many weak instruments," Economics Letters, Elsevier, vol. 108(1), pages 36-39, July.
    18. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.
    19. Jolejole-Foreman, Maria Christina & Mallory, Mindy L. & Baylis, Katherine R., 2013. "Impact of Wheat and Rice Export Ban on Indian Market Integration," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150595, Agricultural and Applied Economics Association.
    20. Patrik Guggenberger & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Papers 2103.11371, arXiv.org, revised Oct 2022.
    21. Jinyong Hahn & Jerry Hausman & Guido Kuersteiner, 2005. "Bias Corrected Instrumental Variables Estimation for Dynamic Panel Models with Fixed E¤ects," Boston University - Department of Economics - Working Papers Series WP2005-024, Boston University - Department of Economics.
    22. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    23. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    24. Bertille Antoine & Eric Renault, 2012. "Efficient Inference with Poor Instruments: a General Framework," Discussion Papers dp12-04, Department of Economics, Simon Fraser University.
    25. Zongwu Cai & Henong Li, 2013. "Convergency and Divergency of Functional Coefficient Weak Instrumental Variables Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    26. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    27. Antoine, Bertille & Lavergne, Pascal, 2014. "Conditional moment models under semi-strong identification," Journal of Econometrics, Elsevier, vol. 182(1), pages 59-69.
    28. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
    29. Mehmet Caner, 2011. "A Pretest to Differentiate Between Weak and Nearly-Weak Instrument Asymptotics," International Econometric Review (IER), Econometric Research Association, vol. 3(2), pages 13-21, September.
    30. Juli'an Mart'inez-Iriarte & Pietro Emilio Spini, 2022. "MTE with Misspecification," Papers 2204.10445, arXiv.org.
    31. Bertille Antoine & Otilia Boldea, 2014. "Efficient Inference with Time-Varying Identification Strength," Discussion Papers dp14-03, Department of Economics, Simon Fraser University.

  19. Kuersteiner, Guido M., 2001. "Optimal instrumental variables estimation for ARMA models," Journal of Econometrics, Elsevier, vol. 104(2), pages 359-405, September.
    See citations under working paper version above.
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