Ivana Komunjer
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.Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2010.
"What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas,"
NBER Working Papers
16262, National Bureau of Economic Research, Inc.
- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2012. "What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 581-608.
Mentioned in:
- Whither Ricardian comparative advantage?
by jdingel in Trade Diversion on 2011-06-08 22:40:23
Working papers
- Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014.
"Minimum Distance Estimation of Dynamic Models with Errors-In-Variables,"
FRB Atlanta Working Paper
2014-11, Federal Reserve Bank of Atlanta.
Cited by:
- Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017.
"Consistent estimation of linear panel data models with measurement error,"
Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
- Erik Meijer & Laura Spierdijk & Tom J. Wansbeek, 2015. "Consistent Estimation of Linear Panel Data Models with Measurement Error," CESifo Working Paper Series 5164, CESifo.
- Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
- Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017.
"Consistent estimation of linear panel data models with measurement error,"
Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
- Julieta Caunedo & Riccardo DiCecio & Ivana Komunjer & Michael T. Owyang, 2013.
"Asymmetry, Complementarities, and State Dependence in Federal Reserve Forecasts,"
Working Papers
2013-012, Federal Reserve Bank of St. Louis, revised 29 Dec 2017.
- Julieta Caunedo & Riccardo Dicecio & Ivana Komunjer & Michael T. Owyang, 2020. "Asymmetry, Complementarities, and State Dependence in Federal Reserve Forecasts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(1), pages 205-228, February.
Cited by:
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
- Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
- Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015.
"Evaluating a vector of the Fed’s forecasts,"
International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
- Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
- Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "Evaluating A Vector Of The Fed’S Forecasts," Working Papers 2012-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2022.
"Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts,"
MPRA Paper
115559, University Library of Munich, Germany.
- Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2023. "Asymmetry and interdependence when evaluating U.S. Energy Information Administration forecasts," Energy Economics, Elsevier, vol. 121(C).
- Berge, Travis J. & Chang, Andrew C. & Sinha, Nitish R., 2019.
"Evaluating the conditionality of judgmental forecasts,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
- Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
- Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
- Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
- Pierre-Andre Chiappori & Ivana Komunjer & Dennis Kristensen, 2011.
"Nonparametric Identification and Estimation of Transformation Models,"
CAM Working Papers
2011-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Chiappori, Pierre-André & Komunjer, Ivana & Kristensen, Dennis, 2015. "Nonparametric identification and estimation of transformation models," Journal of Econometrics, Elsevier, vol. 188(1), pages 22-39.
Cited by:
- Senay Sokullu, 2012.
"Nonparametric Estimation of Semiparametric Transformation Models,"
Bristol Economics Discussion Papers
12/625, School of Economics, University of Bristol, UK.
- Florens, Jean-Pierre & Sokullu, Senay, 2017. "Nonparametric Estimation Of Semiparametric Transformation Models," Econometric Theory, Cambridge University Press, vol. 33(4), pages 839-873, August.
- Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023.
"Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
- Ruixuan Liu, 2020. "A competing risks model with time‐varying heterogeneity and simultaneous failure," Quantitative Economics, Econometric Society, vol. 11(2), pages 535-577, May.
- Liyu Dou & Jakub Kastl & John Lazarev, 2020. "Quantifying Delay Externalities in Airline Networks," Working Papers 2020-65, Princeton University. Economics Department..
- Aureo de Paula & Imran Rasul & Pedro Souza, 2019.
"Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition,"
Papers
1910.07452, arXiv.org, revised Oct 2023.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2019. "Identifying network ties from panel data: theory and an application to tax competition," CeMMAP working papers CWP55/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Imran Rasul & Pedro Souza & Aureo de Paula, 2023. "Identifying Network Ties from Panel Data: Theory and an application to tax competition," POID Working Papers 081, Centre for Economic Performance, LSE.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: theory and an application to tax competition," IFS Working Papers WCWP21/23, Institute for Fiscal Studies.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: theory and an application to tax competition," CeMMAP working papers 02/23, Institute for Fiscal Studies.
- de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: Theory and an application to tax competition," CeMMAP working papers 21/23, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011.
"An instrumental variable model of multiple discrete choice,"
CeMMAP working papers
CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP06/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Andrew Chesher & Adam M. Rosen & Konrad Smolinski, 2013. "An instrumental variable model of multiple discrete choice," Quantitative Economics, Econometric Society, vol. 4(2), pages 157-196, July.
- Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
- Stefan Hoderlein & Liangjun Su & Halbert White & Thomas Tao Yang, 2015.
"Testing for Monotonicity in Unobservables under Unconfoundedness,"
Boston College Working Papers in Economics
899, Boston College Department of Economics.
- Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016. "Testing for monotonicity in unobservables under unconfoundedness," Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
- Centorrino, Samuele & Parmeter, Christopher F., 2024. "Nonparametric estimation of stochastic frontier models with weak separability," Journal of Econometrics, Elsevier, vol. 238(2).
- Christoph Breunig, 2019. "Specification Testing in Nonparametric Instrumental Quantile Regression," Papers 1909.10129, arXiv.org.
- Aureo de Paula & Imran Rasul & Pedro CL Souza, 2018.
"Recovering social networks from panel data: Identification, simulations and an application,"
Documentos de Trabajo
16173, The Latin American and Caribbean Economic Association (LACEA).
- Ã ureo de Paula & Imran Rasul & Pedro Souza, 2018. "Recovering Social Networks from Panel Data: Identification, Simulations and an Application," Working Papers 2018-013, Human Capital and Economic Opportunity Working Group.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP58/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP17/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," Journal of Econometrics, Elsevier, vol. 216(1), pages 175-191.
- Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2017. "Pseudo-Maximum Likelihood and Lie Groups of Linear Transformations," MPRA Paper 79623, University Library of Munich, Germany.
- Irene Botosaru & Chris Muris, 2017.
"Binarization for panel models with fixed effects,"
CeMMAP working papers
CWP31/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Irene Botosaru & Chris Muris, 2017. "Binarization for panel models with fixed effects," CeMMAP working papers 31/17, Institute for Fiscal Studies.
- Effraimidis, Georgios, 2016. "Nonparametric Identification of a Time-Varying Frailty Model," DaCHE discussion papers 2016:6, University of Southern Denmark, Dache - Danish Centre for Health Economics.
- Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
- Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," LSE Research Online Documents on Economics 103830, London School of Economics and Political Science, LSE Library.
- Arthur Lewbel & Xun Lu & Liangjun Su, 2012.
"Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models,"
Boston College Working Papers in Economics
817, Boston College Department of Economics, revised 01 May 2013.
- Lewbel, Arthur & Lu, Xun & Su, Liangjun, 2015. "Specification testing for transformation models with an application to generalized accelerated failure-time models," Journal of Econometrics, Elsevier, vol. 184(1), pages 81-96.
- Senay Sokullu & Irene Botosaru & Chris Muris, 2022.
"Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels,"
Bristol Economics Discussion Papers
22/756, School of Economics, University of Bristol, UK.
- Irene Botosaru & Chris Muris & Senay Sokullu, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Department of Economics Working Papers 2022-01, McMaster University.
- Nick Kloodt & Natalie Neumeyer & Ingrid Keilegom, 2021. "Specification testing in semi-parametric transformation models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(4), pages 980-1003, December.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020.
"Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares,"
CeMMAP working papers
CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
- Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.
- Kloodt, Nick, 2021. "Identification in a fully nonparametric transformation model with heteroscedasticity," Statistics & Probability Letters, Elsevier, vol. 170(C).
- Timo Kuosmanen & Sheng Dai, 2023. "Modeling economies of scope in joint production: Convex regression of input distance function," Papers 2311.11637, arXiv.org.
- Lin, Yingqian & Tu, Yundong, 2024. "Functional coefficient cointegration models with Box–Cox transformation," Economics Letters, Elsevier, vol. 234(C).
- Chalak, Karim, 2024. "Nonparametric Gini-Frisch bounds," Journal of Econometrics, Elsevier, vol. 238(1).
- Joachim Freyberger, 2021. "Normalizations and misspecification in skill formation models," Papers 2104.00473, arXiv.org, revised Jul 2022.
- Shosei Sakaguchi, 2024. "Partial identification and inference in duration models with endogenous censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 308-326, March.
- Breunig, Christoph, 2016. "Specification testing in nonparametric instrumental quantile regression," SFB 649 Discussion Papers 2016-032, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2010.
"What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas,"
NBER Working Papers
16262, National Bureau of Economic Research, Inc.
- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2012. "What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 581-608.
Cited by:
- Sandra Poncet & Felipe Starosta de Waldemar, 2014.
"Product relatedness and firm exports in China,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
hal-01044982, HAL.
- Sandra Poncet & Felipe Starosta de Waldemar, 2014. "Product relatedness and firm exports in China," Post-Print hal-01044982, HAL.
- Sandra PONCET & Felipe STAROSTA DE WALDEMAR, 2012. "Product relatedness and firm exports in China," Working Papers P58, FERDI.
- Poncet, Sandra & de Waldemar, Felipe Starosta, 2013. "Product relatedness and firm exports in China," Policy Research Working Paper Series 6676, The World Bank.
- Sandra Poncet & Felipe Starosta de Waldemar, 2012. "Product relatedness and firm exports in China," Working Papers 2012-27, CEPII research center.
- Sandra Poncet & Felipe Starosta de Waldemar, 2015. "Product Relatedness and Firm Exports in China," The World Bank Economic Review, World Bank, vol. 29(3), pages 579-605.
- Sandra PONCET & Felipe STAROSTA DE WALDEMAR, 2012. "Product relatedness and firm exports in China," Working Papers P58, FERDI.
- Jerónimo Carballo & Ignacio Marra de Artiñano & Christian Volpe Martincus, 2021.
"Information Frictions, Investment Promotion, and Multinational Production: Firm-Level Evidence,"
CESifo Working Paper Series
9043, CESifo.
- Jerónimo Carballo & Ignacio Marra De Artinano & Christian Volpe Martincus, 2023. "Information Frictions, Investment Promotion, and Multinational Production: Firm-Level Evidence," Working Papers ECARES 2023-02, ULB -- Universite Libre de Bruxelles.
- Gordeev, Roman, 2020. "Comparative advantages of Russian forest products on the global market," Forest Policy and Economics, Elsevier, vol. 119(C).
- Schetter, Ulrich & Diodato, Dario & Protzer, Eric & Neffke, Frank & Hausmann, Ricardo, 2024.
"From Products to Capabilities: Constructing a Genotypic Product Space,"
CEPR Discussion Papers
19369, C.E.P.R. Discussion Papers.
- Ulrich Schetter & Dario Diodato & Eric Protzer & Frank Neffke & Ricardo Hausmann, 2024. "From Products to Capabilities: Constructing a Genotypic Product Space," Papers in Evolutionary Economic Geography (PEEG) 2419, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2024.
- Ulrich Schetter & Dario Diodato & Eric S. M. Protzer & Frank Neffke & Ricardo Hausmann, 2024. "From Products to Capabilities: Constructing A Genotypic Product Space," Growth Lab Working Papers 230, Harvard's Growth Lab.
- Stephen J. Redding & David E. Weinstein, 2018.
"Aggregating From Micro to Macro Patterns of Trade,"
Working Papers
18-10, Center for Economic Studies, U.S. Census Bureau.
- Stephen J. Redding & David E. Weinstein, 2017. "Aggregating from Micro to Macro Patterns of Trade," NBER Working Papers 24051, National Bureau of Economic Research, Inc.
- Stephen J. Redding & David E. Weinstein, 2017. "Aggregating from micro to macro patterns of trade," CEP Discussion Papers dp1513, Centre for Economic Performance, LSE.
- Redding, Stephen & Weinstein, David, 2017. "Aggregating From Micro to Macro Patterns of Trade," CEPR Discussion Papers 12446, C.E.P.R. Discussion Papers.
- Redding, Stephen & Weinstein, David E., 2017. "Aggregating from micro to macro patterns of trade," LSE Research Online Documents on Economics 86607, London School of Economics and Political Science, LSE Library.
- Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2017.
"Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade,"
American Economic Review, American Economic Association, vol. 107(3), pages 633-689, March.
- Rodrigo Adao & Arnaud Costinot & Dave Donaldson, 2015. "Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade," NBER Working Papers 21401, National Bureau of Economic Research, Inc.
- Andrei A Levchenko & Jing Zhang, 2013.
"The Global Labor Market Impact of Emerging Giants: A Quantitative Assessment,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 479-519, August.
- Andrei A. Levchenko & Jing Zhang, 2013. "The Global Labor Market Impact of Emerging Giants: a Quantitative Assessment," Working Papers 637, Research Seminar in International Economics, University of Michigan.
- Andrei A. Levchenko & Jing Zhang, 2013. "The global labor market impact of rmerging giants: a quantitative assessment," Working Paper Series WP-2013-10, Federal Reserve Bank of Chicago.
- Bahar, Dany & Rosenow, Samuel & Stein, Ernesto & Wagner, Rodrigo Andres, 2018.
"Export Take-Offs and Acceleration: Unpacking Cross-Sector Linkages in the Evolution of Comparative Advantage,"
IZA Discussion Papers
12061, Institute of Labor Economics (IZA).
- Bahar, Dany & Rosenow, Samuel & Stein, Ernesto & Wagner, Rodrigo, 2019. "Export take-offs and acceleration: Unpacking cross-sector linkages in the evolution of comparative advantage," World Development, Elsevier, vol. 117(C), pages 48-60.
- Dany Bahar & Samuel Rosenow & Ernesto Stein & Rodrigo Wagner, 2018. "Export Take-Offs and Acceleration: Unpacking Cross-Sector Linkages in the Evolution of Comparative Advantage," CESifo Working Paper Series 7436, CESifo.
- Sam Kortum & John Romalis & Brent Neiman & Jonathan Eaton, 2010.
"Trade and the Global Recession,"
2010 Meeting Papers
1340, Society for Economic Dynamics.
- Samuel S. Kortum & Jonathan Eaton & Brent Neiman & John Romalis, 2010. "Trade and the Global Recession," DEGIT Conference Papers c015_002, DEGIT, Dynamics, Economic Growth, and International Trade.
- Jonathan Eaton & Samuel Kortum & Brent Neiman & John Romalis, 2011. "Trade and the Global Recession," NBER Working Papers 16666, National Bureau of Economic Research, Inc.
- Jonathan Eaton & Sam Kortum & Brent Neiman & John Romalis, 2010. "Trade and the global recession," Working Paper Research 196, National Bank of Belgium.
- Eaton, Jonathan & Kortum, Sam & Neiman, Brent & Romalis, John, 2013. "Trade and the Global Recession," Working Papers 2013-21, University of Sydney, School of Economics.
- Jonathan Eaton & Samuel Kortum & Brent Neiman & John Romalis, 2016. "Trade and the Global Recession," American Economic Review, American Economic Association, vol. 106(11), pages 3401-3438, November.
- Ulrich Schetter, 2019.
"A Structural Ranking of Economic Complexity,"
Growth Lab Working Papers
148, Harvard's Growth Lab.
- Ulrich Schetter, 2019. "A Structural Ranking of Economic Complexity," CID Working Papers 119a, Center for International Development at Harvard University.
- Schetter, Ulrich, 2021. "A Structural Ranking of Economic Complexity," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242451, Verein für Socialpolitik / German Economic Association.
- Pierre-Daniel Sarte & Fernando Parro & Esteban Rossi-Hansberg & Lorenzo Caliendo, 2014.
"The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy,"
2014 Meeting Papers
426, Society for Economic Dynamics.
- Lorenzo Caliendo & Fernando Parro & Esteban Rossi-Hansberg & Pierre-Daniel G. Sarte, 2014. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," International Finance Discussion Papers 1119, Board of Governors of the Federal Reserve System (U.S.).
- Rossi-Hansberg, Esteban & Caliendo, Lorenzo & Parro, Fernando & Sarte, Pierre-Daniel, 2014. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," CEPR Discussion Papers 10046, C.E.P.R. Discussion Papers.
- Lorenzo Caliendo & Fernando Parro & Esteban Rossi-Hansberg & Pierre-Daniel Sarte, 2014. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," NBER Working Papers 20168, National Bureau of Economic Research, Inc.
- Lorenzo Caliendo & Fernando Parro & Esteban Rossi-Hansberg & Pierre-Daniel G. Sarte, 2013. "The impact of regional and sectoral productivity changes on the U.S. economy," Working Paper 13-14, Federal Reserve Bank of Richmond.
- Lorenzo Caliendo & Fernando Parro & Esteban Rossi-Hansberg & Pierre-Daniel Sarte, 2018. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2042-2096.
- William R. Kerr, 2013.
"Heterogeneous Technology Diffusion and Ricardian Trade Patterns,"
Harvard Business School Working Papers
14-039, Harvard Business School.
- William R Kerr, 2018. "Heterogeneous Technology Diffusion and Ricardian Trade Patterns," The World Bank Economic Review, World Bank, vol. 32(1), pages 163-182.
- Kerr,William Robert, 2017. "Heterogeneous technology diffusion and Ricardian trade patterns," Policy Research Working Paper Series 8027, The World Bank.
- William R. Kerr, 2016. "Heterogeneous Technology Diffusion and Ricardian Trade Patterns," CESifo Working Paper Series 6216, CESifo.
- William R. Kerr, 2013. "Heterogeneous Technology Diffusion and Ricardian Trade Patterns," NBER Working Papers 19657, National Bureau of Economic Research, Inc.
- Scott French, 2017. "Comparative Advantage and Biased Gravity," Discussion Papers 2017-03, School of Economics, The University of New South Wales.
- Juyoung Cheong & Shino Takayama & Terence Yeo, 2013. "Preferential Trade Agreements and Welfare: General Equilibrium Analysis," Discussion Papers Series 482, School of Economics, University of Queensland, Australia.
- Redding, Stephen & Weinstein, David, 2019.
"Aggregation and the Gravity Equation,"
CEPR Discussion Papers
13459, C.E.P.R. Discussion Papers.
- Redding, Stephen & Weinstein, David E., 2019. "Aggregation and the gravity equation," LSE Research Online Documents on Economics 102604, London School of Economics and Political Science, LSE Library.
- Stephen J. Redding & David E. Weinstein, 2019. "Aggregation and the Gravity Equation," NBER Working Papers 25464, National Bureau of Economic Research, Inc.
- Stephen J. Redding & David E. Weinstein, 2019. "Aggregation and the gravity equation," CEP Discussion Papers dp1595, Centre for Economic Performance, LSE.
- Stephen J. Redding & David E. Weinstein, 2019. "Aggregation and the Gravity Equation," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 450-455, May.
- Markus Brueckner & Ngo Van Long & Joaquin Vespignani, 2020.
"Non-gravity trade,"
CAMA Working Papers
2020-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Markus Brueckner & Ngo Van Long & Joaquin L. Vespignani, 2020. "Non-Gravity Trade," Globalization Institute Working Papers 388, Federal Reserve Bank of Dallas.
- Brueckner, Markus & Van Long, Ngo & Vespignani, Joaquin, 2020. "Non-gravity trade," Working Papers 2020-04, University of Tasmania, Tasmanian School of Business and Economics.
- Markus Brueckner & Ngo Van Long & Joaquin Vespignani, 2020. "Non-Gravity Trade," ANU Working Papers in Economics and Econometrics 2020-673, Australian National University, College of Business and Economics, School of Economics.
- Rudik, Ivan & Lyn, Gary & Tan, Weiliang & Ortiz-Bobea, Ariel, 2021.
"Heterogeneity and Market Adaptation to Climate Change in Dynamic-Spatial Equilibrium,"
ISU General Staff Papers
202106020700001127, Iowa State University, Department of Economics.
- Rudik, Ivan & Lyn, Gary & Tan, Weiliang & Ortiz-Bobea, Ariel, 2021. "Heterogeneity and Market Adaptation to Climate Change in Dynamic-Spatial Equilibrium," SocArXiv usghb, Center for Open Science.
- Mayer, Thierry & Bas, Maria, 2015.
"From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity,"
CEPR Discussion Papers
10637, C.E.P.R. Discussion Papers.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2017. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Post-Print hal-02483306, HAL.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2015. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01592899, HAL.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2017. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," SciencePo Working papers Main hal-02483306, HAL.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2015. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Working Papers hal-01592899, HAL.
- M. Bas & T. Mayer & M. Thoenig, 2015. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Working papers 560, Banque de France.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2015. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Working Papers 2015-07, CEPII research center.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2015. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," SciencePo Working papers Main hal-01592899, HAL.
- Bas, Maria & Mayer, Thierry & Thoenig, Mathias, 2017. "From micro to macro: Demand, supply, and heterogeneity in the trade elasticity," Journal of International Economics, Elsevier, vol. 108(C), pages 1-19.
- Maria Bas & Thierry Mayer & Mathias Thoenig, 2017. "From Micro to Macro: Demand, Supply, and Heterogeneity in the Trade Elasticity," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02483306, HAL.
- Andrianarimanana, Mihasina Harinaivo & Yongjian, Pu & Rabezanahary Tanteliniaina, Mirindra Finaritra, 2023. "Assessment of the importance of climate, land, and soil on the global supply for agricultural products and global food security: Evidence from Madagascar," Food Policy, Elsevier, vol. 115(C).
- Costinot, Arnaud & RodrÃguez-Clare, Andrés, 2014.
"Trade Theory with Numbers: Quantifying the Consequences of Globalization,"
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International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
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"Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts,"
MPRA Paper
115559, University Library of Munich, Germany.
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Finance and Economics Discussion Series
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"Asymmetric loss in the Greenbook and the Survey of Professional Forecasters,"
International Journal of Forecasting, Elsevier, vol. 30(2), pages 235-245.
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"Interval-valued time series models: Estimation based on order statistics exploring the Agriculture Marketing Service data,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 694-711.
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International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
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International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
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"Extreme returns and intensity of trading,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1121-1140, November.
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"Efficientt Conditional Quantile Estimation: The Time Series Case,"
University of California at San Diego, Economics Working Paper Series
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"VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles,"
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"Semiparametrically efficient inference based on signs and ranks for median‐restricted models,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(2), pages 389-412, April.
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"What Goods Do Countries Trade? New Ricardian Predictions,"
University of California at San Diego, Economics Working Paper Series
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"Bioenergy Production in Finland and its Effects on Regional Growth and Employment,"
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The European Journal of Finance, Taylor & Francis Journals, vol. 21(13-14), pages 1195-1213, November.
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- Yong Bao & Aman Ullah, 2009. "Expectation of Quadratic Forms in Normal and Nonnormal Variables with Econometric Applications," Working Papers 200907, University of California at Riverside, Department of Economics, revised Jun 2009.
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- Lu Ou & Zhibiao Zhao, 2021. "Value‐at‐risk forecasting via dynamic asymmetric exponential power distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 291-300, March.
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"Mixed Exponential Power Asymmetric Conditional Heteroskedasticity,"
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- Mohammed Bouaddi & Jeroen V.K. Rombouts, 2007. "Mixed Exponential Power Asymmetric Conditional Heteroskedasticity," Cahiers de recherche 0749, CIRPEE.
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"Who Creates Jobs? Econometric Modeling and Evidence for Austrian Firm Level Data,"
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205, WU Vienna University of Economics and Business.
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"On Testability Of Complementarity In Models With Multiple Equilibria,"
STICERD - Econometrics Paper Series
560, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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"A revealed preference theory of monotone choice and strategic complementarity,"
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- Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2015. "A revealed preference theory of monotone choice and strategic complementarity," Discussion Paper Series 138, School of Economics, Kwansei Gakuin University, revised Dec 2015.
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"Global Identification In Nonlinear Semiparametric Models,"
University of California at San Diego, Economics Working Paper Series
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"Multiplicity of Equilibria and Information Structures in Empirical Games: Challenges and Prospects,"
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tecipa-510, University of Toronto, Department of Economics.
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Econometric Society 2004 North American Summer Meetings
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The Warwick Economics Research Paper Series (TWERPS)
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MPRA Paper
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- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011. "Asymmetric loss functions and the rationality of expected stock returns," International Journal of Forecasting, Elsevier, vol. 27(2), pages 413-437, April.
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"Nonlinear expectations in speculative markets: Evidence from the ECB survey of professional forecasters,"
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311, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
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"Forecasting Realized Oil-Price Volatility: The Role of Financial Stress and Asymmetric Loss,"
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- Valentina Corradi & Norman Swanson, 2013. "A Survey of Recent Advances in Forecast Accuracy Comparison Testing, with an Extension to Stochastic Dominance," Departmental Working Papers 201309, Rutgers University, Department of Economics.
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Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2371-2379, June.
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- Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
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"Can households see into the future? Survey evidence from the Netherlands,"
SAFE Working Paper Series
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"On FIRE, news, and expectations,"
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"Realized Stock-Market Volatility of the United States and the Presidential Approval Rating,"
Mathematics, MDPI, vol. 11(13), pages 1-27, July.
- Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Renee van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Working Papers 202311, University of Pretoria, Department of Economics.
- Rybacki Jakub, 2020. "Macroeconomic forecasting in Poland: The role of forecasting competitions," Central European Economic Journal, Sciendo, vol. 7(54), pages 1-11, January.
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"US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
- Clements, Michael P., 2012. "US inflation expectations and heterogeneous loss functions, 1968–2010," The Warwick Economics Research Paper Series (TWERPS) 986, University of Warwick, Department of Economics.
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"Climate Risks and U.S. Stock-Market Tail Risks: A Forecasting Experiment Using over a Century of Data,"
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"Can firms see into the future? Survey evidence from Germany,"
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"Estimating Loss Function Parameters,"
CEPR Discussion Papers
3821, C.E.P.R. Discussion Papers.
Cited by:
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"Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?,"
Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
- Allan Timmermann & Graham Elliott & Ivana Komunjer, 2004. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Econometric Society 2004 North American Summer Meetings 601, Econometric Society.
- Graham Elliott & Ivana Komunjer & Allan Timmermann, 2005. "Biases In Macroeconomic Forecasts: Irrationality Or Asymmetric Loss?," CAMA Working Papers 2005-14, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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"Testing for Nonlinearity in Mean in the Presence of Heteroskedasticity,"
Economic Analysis and Policy, Elsevier, vol. 39(2), pages 311-326, September.
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"Long-Run Forecasting in Multicointegrated Systems,"
Finance Working Papers
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"Properties of Optimal Forecasts,"
CEPR Discussion Papers
4037, C.E.P.R. Discussion Papers.
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"Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?,"
Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
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Working Papers
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"Granger-Causality in Quantiles between Financial Markets: Using Copula Approach,"
Working Papers
201406, University of California at Riverside, Department of Economics.
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"Money–Income Granger-Causality in Quantiles,"
Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409,
Emerald Group Publishing Limited.
- Tae-Hwy Lee & Weiping Yang, 2014. "Money-Income Granger-Causality in Quantiles," Working Papers 201423, University of California at Riverside, Department of Economics, revised Sep 2012.
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"Semiparametrically efficient inference based on signs and ranks for median‐restricted models,"
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"Efficient estimation of conditional risk measures in a semiparametric GARCH model,"
CeMMAP working papers
25/12, Institute for Fiscal Studies.
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"Identifying indicators of systemic risk,"
Journal of International Economics, Elsevier, vol. 132(C).
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"Specification tests of parametric dynamic conditional quantiles,"
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- Juan Carlos Escanciano & Carlos Velasco, 2008. "Specification Tests of Parametric Dynamic Conditional Quantiles," CAEPR Working Papers 2008-021, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Yang Yang & Tae-Hwy Lee, 2004. "Bagging Binary Predictors for Time Series," Econometric Society 2004 Far Eastern Meetings 512, Econometric Society.
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
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- Ivana Komunjer, 2004.
"Asymmetric Power Distribution: Theory and Applications to Risk Measurement,"
Econometric Society 2004 Latin American Meetings
44, Econometric Society.
- Ivana Komunjer, 2007. "Asymmetric power distribution: Theory and applications to risk measurement," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 891-921.
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- Dong Jin Lee, 2009. "Testing Parameter Stability in Quantile Models: An Application to the U.S. Inflation Process," Working papers 2009-26, University of Connecticut, Department of Economics.
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"Dynamic quantile models,"
Journal of Econometrics, Elsevier, vol. 147(1), pages 198-205, November.
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- Lee, Tae-Hwy & Yang, Yang, 2006. "Bagging binary and quantile predictors for time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 465-497.
- Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2022. "Characterizing M-estimators," Papers 2208.08108, arXiv.org.
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"VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles,"
Working papers
2012rwp-45, Yonsei University, Yonsei Economics Research Institute.
- Manganelli, Simone & White, Halbert & Kim, Tae-Hwan, 2015. "VAR for VaR: measuring tail dependence using multivariate regression quantiles," Working Paper Series 1814, European Central Bank.
- White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015. "VAR for VaR: Measuring tail dependence using multivariate regression quantiles," Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
- Gabriel Montes-Rojas & Zacharias Psaradakis & Martín Sola, 2024. "On Regime Separation in Markov-Switching Quantile Regressions," Department of Economics Working Papers 2024_05, Universidad Torcuato Di Tella.
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"Testing for Autocorrelation in Quantile Regression Models,"
Working papers
2013rwp-54, Yonsei University, Yonsei Economics Research Institute.
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"Which Quantile is the Most Informative? Maximum Likelihood, Maximum Entropy and Quantile Regression,"
World Scientific Book Chapters, in: Kaddour Hadri & William Mikhail (ed.), Econometric Methods and Their Applications in Finance, Macro and Related Fields, chapter 7, pages 167-199,
World Scientific Publishing Co. Pte. Ltd..
- Bera, A. K. & Galvao Jr, A. F. & Montes-Rojas, G. & Park, S. Y., 2010. "Which quantile is the most informative? Maximum likelihood, maximum entropy and quantile regression," Working Papers 10/08, Department of Economics, City University London.
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- Zongwu Cai & Ying Fang & Dingshi Tian, 2024. "CAViaR Model Selection Via Adaptive Lasso," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202403, University of Kansas, Department of Economics, revised Jan 2024.
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- Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023. "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202302, University of Kansas, Department of Economics, revised Jan 2023.
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- Akanksha Negi, 2020. "Doubly weighted M-estimation for nonrandom assignment and missing outcomes," Papers 2011.11485, arXiv.org.
- Tae-Hwy Lee & Aman Ullah & He Wang, 2024. "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, vol. 59(1), pages 11-68, October.
- Christophe Boucher & Sessi Tokpavi, 2019. "Stocks and Bonds: Flight-to-Safety for Ever?," Post-Print hal-02067096, HAL.
- Komunjer, Ivana & Vuong, Quang, 2010. "Efficient estimation in dynamic conditional quantile models," Journal of Econometrics, Elsevier, vol. 157(2), pages 272-285, August.
- Gneiting, Tilmann, 2011. "Quantiles as optimal point forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 197-207, April.
- Timo Dimitriadis & Julie Schnaitmann, 2019. "Forecast Encompassing Tests for the Expected Shortfall," Papers 1908.04569, arXiv.org, revised Aug 2020.
- Dong Jin Lee, 2020. "Optimal tests for parameter breaking process in conditional quantile models," The Japanese Economic Review, Springer, vol. 71(3), pages 479-510, July.
- Christian Brownlees & Giuseppe Cavaliere & Alice Monti, 2018. "Evaluating The Accuracy Of Tail Risk Forecasts For Systemic Risk Measurement," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-25, June.
- Gneiting, Tilmann, 2011. "Quantiles as optimal point forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 197-207.
- Tae-Hwy Lee & Aman Ullah & He Wang, 2023. "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers 202313, University of California at Riverside, Department of Economics.
- El Ghouch, Anouar & Genton, Marc G., 2009. "Local Polynomial Quantile Regression With Parametric Features," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1416-1429.
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- Dong Jin Lee & Jai Hyung Yoon, 2012. "The New Keynesian Phillips Curves in Multiple Quantiles and the Asymmetry of Monetary Policy," Working papers 2012-03, University of Connecticut, Department of Economics.
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"Consistent Estimation for Aggregated GARCH,"
University of California at San Diego, Economics Working Paper Series
qt1fp2v3q7, Department of Economics, UC San Diego.
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- Jondeau, Eric, 2015. "The dynamics of squared returns under contemporaneous aggregation of GARCH models," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 80-93.
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Articles
- Komunjer, Ivana & Zhu, Yinchu, 2020.
"Likelihood ratio testing in linear state space models: An application to dynamic stochastic general equilibrium models,"
Journal of Econometrics, Elsevier, vol. 218(2), pages 561-586.
Cited by:
- Andrzej Kocięcki & Marcin Kolasa, 2022.
"A solution to the global identification problem in DSGE models,"
Working Papers
2022-01, Faculty of Economic Sciences, University of Warsaw.
- Andrzej Kocięcki & Marcin Kolasa, 2023. "A solution to the global identification problem in DSGE models," KAE Working Papers 2023-083, Warsaw School of Economics, Collegium of Economic Analysis.
- Kocięcki, Andrzej & Kolasa, Marcin, 2023. "A solution to the global identification problem in DSGE models," Journal of Econometrics, Elsevier, vol. 236(2).
- Ke Sun & Linglong Kong & Hongtu Zhu & Chengchun Shi, 2024. "ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments," Papers 2408.05342, arXiv.org, revised Jan 2025.
- Andrzej Kocięcki & Marcin Kolasa, 2022.
"A solution to the global identification problem in DSGE models,"
Working Papers
2022-01, Faculty of Economic Sciences, University of Warsaw.
- Julieta Caunedo & Riccardo Dicecio & Ivana Komunjer & Michael T. Owyang, 2020.
"Asymmetry, Complementarities, and State Dependence in Federal Reserve Forecasts,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(1), pages 205-228, February.
See citations under working paper version above.
- Julieta Caunedo & Riccardo DiCecio & Ivana Komunjer & Michael T. Owyang, 2013. "Asymmetry, Complementarities, and State Dependence in Federal Reserve Forecasts," Working Papers 2013-012, Federal Reserve Bank of St. Louis, revised 29 Dec 2017.
- Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017.
"Simulated minimum distance estimation of dynamic models with errors-in-variables,"
Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
Cited by:
- Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
- Worapree Maneesoonthorn & David T. Frazier & Gael M. Martin, 2024. "Probabilistic Predictions of Option Prices Using Multiple Sources of Data," Papers 2412.00658, arXiv.org.
- Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
- Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
- Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
- Sönksen, Jantje & Grammig, Joachim, 2020.
"Empirical Asset Pricing with Multi-Period Disaster Risk: A Simulation-Based Approach,"
CFR Working Papers
14-06, University of Cologne, Centre for Financial Research (CFR), revised 2020.
- Sönksen, Jantje & Grammig, Joachim, 2021. "Empirical asset pricing with multi-period disaster risk: A simulation-based approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 805-832.
- Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
- Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.
- Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
- Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.
- Komunjer, Ivana & Ragusa, Giuseppe, 2016.
"Existence And Characterization Of Conditional Density Projections,"
Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
Cited by:
- Timothy Christensen & Benjamin Connault, 2019. "Counterfactual Sensitivity and Robustness," Papers 1904.00989, arXiv.org, revised May 2022.
- Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2020.
"Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility,"
Working Papers
202015, University of California at Riverside, Department of Economics.
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- Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
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"Nonparametric identification and estimation of transformation models,"
Journal of Econometrics, Elsevier, vol. 188(1), pages 22-39.
See citations under working paper version above.
- Pierre-Andre Chiappori & Ivana Komunjer & Dennis Kristensen, 2011. "Nonparametric Identification and Estimation of Transformation Models," CAM Working Papers 2011-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
- Komunjer, Ivana & Ng, Serena, 2014.
"Measurement Errors In Dynamic Models,"
Econometric Theory, Cambridge University Press, vol. 30(1), pages 150-175, February.
Cited by:
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"Is Deflation Costly After All? The Perils of Erroneous Historical Classifications,"
IRENE Working Papers
17-09, IRENE Institute of Economic Research.
- Daniel Kaufmann, 2020. "Is deflation costly after all? The perils of erroneous historical classifications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 614-628, August.
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"Modeling and forecasting (un)reliable realized covariances for more reliable financial decisions,"
Journal of Econometrics, Elsevier, vol. 207(1), pages 71-91.
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"Productivity dispersion and measurement errors,"
Discussion Papers
869, Statistics Norway, Research Department.
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- Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
- Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015. "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series 549, School of Economics, University of Queensland, Australia.
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"Is Deflation Costly After All? The Perils of Erroneous Historical Classifications,"
IRENE Working Papers
17-09, IRENE Institute of Economic Research.
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"Learning from a Piece of Pie,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(1), pages 162-195.
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"Interdependent Durations in Joint Retirement,"
Working Papers, Center for Retirement Research at Boston College
wp2011-5, Center for Retirement Research, revised Feb 2011.
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- Bo E. Honoré & Áureo de Paula, 2013. "Interdependent durations in joint retirement," CeMMAP working papers 05/13, Institute for Fiscal Studies.
- Bo E. Honoré & Áureo de Paula, 2014. "Interdependent durations in joint retirement," CeMMAP working papers 08/14, Institute for Fiscal Studies.
- Bo E. Honoré & Áureo de Paula, 2013. "Interdependent durations in joint retirement," CeMMAP working papers CWP05/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"The empirical content of Cournot competition,"
ULB Institutional Repository
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"A new model for interdependent durations with an application to joint retirement,"
CeMMAP working papers
07/16, Institute for Fiscal Studies.
- Bo E. Honoré & Áureo de Paula, 2016. "A new model for interdependent durations with an application to joint retirement," CeMMAP working papers CWP07/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"Alliances Electorales entre Deux Tours de Scrutin : Le Point de Vue de la Théorie des Jeux Coopératifs et une Application aux Elections Régionales de Mars 2010,"
IDEI Working Papers
710, Institut d'Économie Industrielle (IDEI), Toulouse.
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"Nash bargained consumption decisions: a revealed preference analysis,"
Working Papers of Department of Economics, Leuven
ces11.07, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
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"The Sharing Rule: Where Is It?,"
Working Papers
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"Interdependent Durations in Joint Retirement,"
Working Papers, Center for Retirement Research at Boston College
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- Komunjer, Ivana, 2012.
"Global Identification In Nonlinear Models With Moment Restrictions,"
Econometric Theory, Cambridge University Press, vol. 28(4), pages 719-729, August.
Cited by:
- Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2015.
"Minimum Distance Estimation of Search Costs using Price Distribution,"
Working Papers, Department of Economics
2015_31, University of São Paulo (FEA-USP).
- Fabio Sanches & Daniel Silva Junior & Sorawoot Srisuma, 2018. "Minimum Distance Estimation of Search Costs Using Price Distribution," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 658-671, October.
- Mutschler, Willi, 2014. "Identification of DSGE Models - A Comparison of Methods and the Effect of Second Order Approximation," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100598, Verein für Socialpolitik / German Economic Association.
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"Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition,"
Papers
1910.07452, arXiv.org, revised Oct 2023.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2019. "Identifying network ties from panel data: theory and an application to tax competition," CeMMAP working papers CWP55/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Imran Rasul & Pedro Souza & Aureo de Paula, 2023. "Identifying Network Ties from Panel Data: Theory and an application to tax competition," POID Working Papers 081, Centre for Economic Performance, LSE.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: theory and an application to tax competition," IFS Working Papers WCWP21/23, Institute for Fiscal Studies.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: theory and an application to tax competition," CeMMAP working papers 02/23, Institute for Fiscal Studies.
- de Paula, Aureo & Rasul, Imran & Souza, Pedro, 2018. "Identifying Network Ties from Panel Data: Theory and an Application to Tax Competition," CEPR Discussion Papers 12792, C.E.P.R. Discussion Papers.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023. "Identifying network ties from panel data: Theory and an application to tax competition," CeMMAP working papers 21/23, Institute for Fiscal Studies.
- Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2020. "The Efficiency Gap," Papers 2010.14146, arXiv.org, revised Sep 2022.
- Aureo de Paula & Imran Rasul & Pedro CL Souza, 2018.
"Recovering social networks from panel data: Identification, simulations and an application,"
Documentos de Trabajo
16173, The Latin American and Caribbean Economic Association (LACEA).
- Ã ureo de Paula & Imran Rasul & Pedro Souza, 2018. "Recovering Social Networks from Panel Data: Identification, Simulations and an Application," Working Papers 2018-013, Human Capital and Economic Opportunity Working Group.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP58/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Áureo de Paula & Imran Rasul & Pedro CL Souza, 2018. "Recovering social networks from panel data: identification, simulations and an application," CeMMAP working papers CWP17/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
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"Structural estimation of behavioral heterogeneity,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 690-707, August.
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"The Identification Zoo - Meanings of Identification in Econometrics,"
Boston College Working Papers in Economics
957, Boston College Department of Economics, revised 14 Dec 2019.
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"Minimum Distance Estimation of Search Costs using Price Distribution,"
Working Papers, Department of Economics
2015_31, University of São Paulo (FEA-USP).
- Ivana Komunjer & Michael T. Owyang, 2012.
"Multivariate Forecast Evaluation and Rationality Testing,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
See citations under working paper version above.
- Komunjer, Ivana & OWYANG, MICHAEL, 2007. "Multivariate Forecast Evaluation And Rationality Testing," University of California at San Diego, Economics Working Paper Series qt81w8m5sf, Department of Economics, UC San Diego.
- Ivana Komunjer & Michael T. Owyang, 2007. "Multivariate forecast evaluation and rationality testing," Working Papers 2007-047, Federal Reserve Bank of St. Louis.
- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2012.
"What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 581-608.
See citations under working paper version above.
- Arnaud Costinot & Dave Donaldson & Ivana Komunjer, 2010. "What Goods Do Countries Trade? A Quantitative Exploration of Ricardo's Ideas," NBER Working Papers 16262, National Bureau of Economic Research, Inc.
- Ivana Komunjer & Serena Ng, 2011.
"Dynamic Identification of Dynamic Stochastic General Equilibrium Models,"
Econometrica, Econometric Society, vol. 79(6), pages 1995-2032, November.
Cited by:
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"A solution to the global identification problem in DSGE models,"
Working Papers
2022-01, Faculty of Economic Sciences, University of Warsaw.
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"Can we Identify the Fed's Preferences?,"
MPRA Paper
76831, University Library of Munich, Germany.
- Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," EconStor Preprints 149993, ZBW - Leibniz Information Centre for Economics, revised 2017.
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"Identifying the sources of model misspecification,"
Economics Working Papers
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"Sigma Point Filters For Dynamic Nonlinear Regime Switching Models,"
Working Papers
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"Extended Yule-Walker Identification of Varma Models with Single- or Mixed- Frequency Data,"
Economic Working Papers
485, Bureau of Labor Statistics.
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"Demographic Structure and Macroeconomic Trends,"
CESifo Working Paper Series
5872, CESifo.
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- Yunus Aksoy & Henrique S. Basso & Tobias Grasl & Ron P. Smith, 2015. "Demographic Structure and Macroeconomic Trends," Birkbeck Working Papers in Economics and Finance 1501, Birkbeck, Department of Economics, Mathematics & Statistics.
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- Tenreyro, Silvana & Broadbent, Ben & Di Pace, Federico & Drechsel, Thomas & Harrison, Richard, 2019.
"The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom,"
CEPR Discussion Papers
13993, C.E.P.R. Discussion Papers.
- Ben Broadbent & Federico Di Pace & Thomas Drechsel & Richard Harrison & Silvana Tenreyro, 2019. "The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom," Discussion Papers 1916, Centre for Macroeconomics (CFM).
- Broadbent, Ben & Di Pace, Federico & Drechsel, Thomas & Harrison, Richard & Tenreyro, Silvana, 2019. "The Brexit vote, productivity growth and macroeconomic adjustments in the United Kingdom," Discussion Papers 51, Monetary Policy Committee Unit, Bank of England.
- Mutschler, Willi, 2014. "Identification of DSGE Models - A Comparison of Methods and the Effect of Second Order Approximation," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100598, Verein für Socialpolitik / German Economic Association.
- Härtl, Tilmann, 2022. "Identifying Proxy VARs with Restrictions on the Forecast Error Variance," VfS Annual Conference 2022 (Basel): Big Data in Economics 264071, Verein für Socialpolitik / German Economic Association.
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"A procedure for combining zero and sign restrictions in aVAR-identification scheme,"
LSE Research Online Documents on Economics
58077, London School of Economics and Political Science, LSE Library.
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"How Optimal is US Monetary Policy?,"
Stirling Economics Discussion Papers
2013-05, University of Stirling, Division of Economics.
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- Kirsanova, Tatiana & Leith, Campbell & Chen, Xiaoshan, 2013. "How Optimal is US Monetary Policy?," SIRE Discussion Papers 2013-53, Scottish Institute for Research in Economics (SIRE).
- Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "How optimal is US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 96-111.
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- Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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"Improving GDP measurement: A measurement-error perspective,"
Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
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"Higher-order statistics for DSGE models,"
CQE Working Papers
4315, Center for Quantitative Economics (CQE), University of Muenster.
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"Estimation of heterogeneous agent models: A likelihood approach,"
Discussion Papers
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- Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017. "Estimation of Heterogeneous Agent Models: A Likelihood Approach," CESifo Working Paper Series 6717, CESifo.
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- Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Mihoubi, Ferhat & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2022. "Dynare: Reference Manual Version 5," Dynare Working Papers 72, CEPREMAP, revised Mar 2023.
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"Optimal Monetary Policy Under Bounded Rationality,"
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- Arai, Natsuki & Iizuka, Nobuo & Yamamoto, Yohei, 2022. "The Efficiency of the Government’s Revenue Projections," Discussion paper series HIAS-E-122, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- José Daniel Aromí, 2021. "Large Current Account Deficits and Neglected Vulnerabilities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 69(4), pages 597-623, December.
- Robert P. Lieli & Augusto Nieto-Barthaburu, 2023. "Forecasting with Feedback," Papers 2308.15062, arXiv.org, revised Aug 2024.
- Tae-Hwy Lee & Aman Ullah & He Wang, 2024. "The second-order bias and mean squared error of quantile regression estimators," Indian Economic Review, Springer, vol. 59(1), pages 11-68, October.
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
- Gneiting, Tilmann, 2011. "Quantiles as optimal point forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 197-207, April.
- Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
- Timo Dimitriadis & Julie Schnaitmann, 2019. "Forecast Encompassing Tests for the Expected Shortfall," Papers 1908.04569, arXiv.org, revised Aug 2020.
- Matei Demetrescu & Christoph Roling & Anna Titova, 2021. "Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 151-161, January.
- Tobias Fissler & Hajo Holzmann, 2022. "Measurability of functionals and of ideal point forecasts," Papers 2203.08635, arXiv.org.
- MacDonald, Ronald & Nagayasu, Jun, 2015. "Currency forecast errors and carry trades at times of low interest rates: Evidence from survey data on the yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 1-19.
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- Huang, Rong & Pilbeam, Keith & Pouliot, William, 2022. "Are macroeconomic forecasters optimists or pessimists? A reassessment of survey based forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 706-724.
- Tae-Hwy Lee & Yiyao Wang, 2019. "Evaluation of the Survey of Professional Forecasters in the Greenbook’s Loss Function," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 345-360, June.
- Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
- Collin Philipps, 2022. "Interpreting Expectiles," Working Papers 2022-01, Department of Economics and Geosciences, US Air Force Academy.
- Gneiting, Tilmann, 2011. "Quantiles as optimal point forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 197-207.
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
- Tae-Hwy Lee & Aman Ullah & He Wang, 2023. "The Second-order Bias and Mean Squared Error of Quantile Regression Estimators," Working Papers 202313, University of California at Riverside, Department of Economics.
- Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.
- Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
- Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.
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- Clements, Michael P., 2008.
"Explanations of the inconsistencies in survey respondents'forecasts,"
The Warwick Economics Research Paper Series (TWERPS)
870, University of Warwick, Department of Economics.
- Komunjer, Ivana, 2005.
"Quasi-maximum likelihood estimation for conditional quantiles,"
Journal of Econometrics, Elsevier, vol. 128(1), pages 137-164, September.
See citations under working paper version above.
- Komunjer, Ivana, 2002. "Quasi-Maximum Likelihood Estimation for Conditional Quantiles," Working Papers 1139, California Institute of Technology, Division of the Humanities and Social Sciences.
- Giacomini, Raffaella & Komunjer, Ivana, 2005.
"Evaluation and Combination of Conditional Quantile Forecasts,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 416-431, October.
See citations under working paper version above.
- Raffaella Giacomini & Ivana Komunjer, 2003. "Evaluation and Combination of Conditional Quantile Forecasts," Boston College Working Papers in Economics 571, Boston College Department of Economics.
- Giacomini, Raffaella & Komunjer, Ivana, 2002. "Evaluation and Combination of Conditional Quantile Forecasts," University of California at San Diego, Economics Working Paper Series qt4n99t4wz, Department of Economics, UC San Diego.
Chapters
- Komunjer, Ivana, 2013.
"Quantile Prediction,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994,
Elsevier.
Cited by:
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
- Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
- Oh, Dong Hwan & Patton, Andrew J., 2024. "Better the devil you know: Improved forecasts from imperfect models," Journal of Econometrics, Elsevier, vol. 242(1).
- Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
- Kraus, Daniel & Czado, Claudia, 2017. "D-vine copula based quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 1-18.
- Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.