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Christian Dahl

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. Christian M. Dahl & Emil N. S{o}rensen, 2021. "Time Series (re)sampling using Generative Adversarial Networks," Papers 2102.00208, arXiv.org.

    Cited by:

    1. Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021. "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers 21-05, Carleton University, Department of Economics.
    2. Ba Chu & Shafiullah Qureshi, 2023. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1567-1609, December.

  2. Christian M. Dahl & Torben S. D. Johansen & Emil N. S{o}rensen & Christian E. Westermann & Simon F. Wittrock, 2021. "Applications of Machine Learning in Document Digitisation," Papers 2102.03239, arXiv.org.

    Cited by:

    1. Blomqvist, Christopher & Enflo, Kerstin & Jakobsson, Andreas & Åström, Kalle, 2023. "Reading the ransom: Methodological advancements in extracting the Swedish Wealth Tax of 1571," Explorations in Economic History, Elsevier, vol. 87(C).
    2. Jovet, Yoann & Lefèvre, Frédéric & Laurent, Alexis & Clausse, Marc, 2022. "Combined energetic, economic and climate change assessment of heat pumps for industrial waste heat recovery," Applied Energy, Elsevier, vol. 313(C).
    3. Dahl, Christian M. & Johansen, Torben S.D. & Sørensen, Emil N. & Wittrock, Simon, 2023. "HANA: A handwritten name database for offline handwritten text recognition," Explorations in Economic History, Elsevier, vol. 87(C).
    4. Caratozzolo, Vincenzo & Misuri, Alessio & Cozzani, Valerio, 2022. "A generalized equipment vulnerability model for the quantitative risk assessment of horizontal vessels involved in Natech scenarios triggered by floods," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    5. Dahl, Christian M. & Hansen, Casper W. & Jensen, Peter S. & Karlsson, Martin & Kühnle, Daniel, 2023. "School Closures, Mortality, and Human Capital: Evidence from the Universe of Closures during the 1918 Pandemic in Sweden," IZA Discussion Papers 16592, Institute of Labor Economics (IZA).
    6. Albers, Thilo N.H. & Kappner, Kalle, 2023. "Perks and pitfalls of city directories as a micro-geographic data source," Explorations in Economic History, Elsevier, vol. 87(C).
    7. Claudia ANTAL-VAIDA, 2021. "Basic Hyperparameters Tuning Methods for Classification Algorithms," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 64-74.
    8. Albers, Thilo N. H. & Kappner, Kalle, 2022. "Perks and Pitfalls of City Directories as a Micro-Geographic Data Source," Rationality and Competition Discussion Paper Series 315, CRC TRR 190 Rationality and Competition.

  3. Borowiecki, Karol Jan & Dahl, Christian Møller, 2021. "What makes an artist? The evolution and clustering of creative activity in the US since 1850," Discussion Papers on Economics 1/2021, University of Southern Denmark, Department of Economics.

    Cited by:

    1. Prieto-Rodriguez, Juan & Vecco, Marilena, 2021. "Reading between the lines in the art market: Lack of transparency and price heterogeneity as an indicator of multiple equilibria," Economic Modelling, Elsevier, vol. 102(C).
    2. Borowiecki, Karol Jan & Graddy, Kathryn, 2019. "Immigrant Artists: Enrichment or Displacement?," Discussion Papers on Economics 4/2019, University of Southern Denmark, Department of Economics.
    3. Irene Alfarone & Ugo Merlone, 2024. "Should I stay or should I go: A dynamical model of musicians’ agglomeration and migration," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 97-116, February.
    4. Karol Jan Borowiecki & Nicholas Ford & Maria Marchenko, 2022. "Harmonious Relations: Quality transmission among composers in the very long run," Working Papers 0226, European Historical Economics Society (EHES).
    5. Lukas Kuld & Sara Mitchell & Christiane Hellmanzik, 2021. "Manhattan Transfer: Productivity effects of agglomeration in American authorship," Trinity Economics Papers tep0821, Trinity College Dublin, Department of Economics.
    6. Amy Whitaker, 2021. "Economies of scope in artists’ incubator projects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(4), pages 613-631, December.

  4. Dahl, Christian M. & Huber, Martin & Mellace, Giovanni, 2017. "It's never too LATE: A new look at local average treatment effects with or without defiers," Discussion Papers on Economics 2/2017, University of Southern Denmark, Department of Economics.

    Cited by:

    1. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    2. Mario Fiorini & Katrien Stevens, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1475-1526, December.
    3. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 25 Apr 2024.
    4. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Jan 2024.
    5. Huntington-Klein Nick, 2020. "Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 182-208, January.
    6. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.

  5. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2011. "Wage Dispersion and Decentralization of Wage Bargaining," CREATES Research Papers 2011-48, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Andréasson, Hannes, 2014. "The effect of decentralized wage bargaining on the structure of wages and firm performance," Ratio Working Papers 241, The Ratio Institute.
    2. Paul Bingley & Lorenzo Cappellari & Niels Westergård-Nielsen, 2011. "Flexicurity, Wage Dynamics and Inequality over the Life-Cycle," CESifo Working Paper Series 3561, CESifo.
    3. Braakmann, Nils & Brandl, Bernd, 2016. "The Efficacy of Hybrid Collective Bargaining Systems: An Analysis of the Impact of Collective Bargaining on Company Performance in Europe," MPRA Paper 70025, University Library of Munich, Germany.
    4. Valeria Cirillo & Matteo Sostero & Federico Tamagni, 2019. "Firm-level pay agreements and within-firm wage inequalities: Evidence across Europe," LEM Papers Series 2019/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Maibom, Jonas & Vejlin, Rune Majlund, 2021. "Passthrough of Firm Performance to Income and Employment Stability," IZA Discussion Papers 14131, Institute of Labor Economics (IZA).
    6. Bernardo Fanfani, 2019. "The Employment Effects of Collective Bargaining," Working papers 064, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    7. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," Working Papers hal-03459264, HAL.
    8. Kauhanen, Antti & Maczulskij, Terhi & Riukula, Krista, 2020. "Heterogeneous Impacts of the Decentralization of Collective Bargaining," ETLA Working Papers 83, The Research Institute of the Finnish Economy.
    9. Karlson, Nils & Lindberg, Henrik, 2011. "The Decentralization of Wage Bargaining: Four Cases," Ratio Working Papers 178, The Ratio Institute.
    10. Andrea Garnero & François Rycx & Isabelle Terraz, 2018. "Productivity and wage effects of firm-level collective agreements: Evidence from Belgian linked panel data," Working Papers CEB 18-020, ULB -- Universite Libre de Bruxelles.
    11. Denis Fougère & Erwan Gautier & Juan Carluccio, 2016. "Trade, wages, and collective bargaining," Post-Print hal-03567896, HAL.
    12. Juan Carluccio & Denis Fougère & Erwan Gautier, 2014. "Trade, Wages, and Collective Bargaining: Evidence from France," SciencePo Working papers Main hal-01093629, HAL.
    13. Tetsuo Yamamori & Kazuyuki Iwata, 2023. "Wage claim detracts reciprocity in labor relations: experimental study of gift exchange games," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 573-597, July.
    14. Juan Francisco Canal Domínguez & César Rodríguez Gutiérrez, 2016. "Collective bargaining, wage dispersion and the economic cycle: Spanish evidence," The Economic and Labour Relations Review, , vol. 27(4), pages 471-489, December.
    15. Dahl, Gordon & Knepper, Matt, 2021. "Age Discrimination across the Business Cycle," CEPR Discussion Papers 15760, C.E.P.R. Discussion Papers.
    16. Mann, Katja & Pozzoli, Dario, 2022. "Automation and Low-Skill Labor," IZA Discussion Papers 15791, Institute of Labor Economics (IZA).
    17. Samiul Haque, 2022. "US federal farm payments and farm size: Quantile estimation on panel data," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 139-154, February.
    18. Taber, Christopher & Vejlin, Rune Majlund, 2016. "Estimation of a Roy/Search/Compensating Differential Model of the Labor Market," IZA Discussion Papers 9975, Institute of Labor Economics (IZA).
    19. Torben Andersen, 2015. "The Danish Flexicurity Labour Market During the Great Recession," De Economist, Springer, vol. 163(4), pages 473-490, December.
    20. Malchow-Møller, Nikolaj & Munch, Jakob R. & Skaksen, Jan Rose, 2011. "Do Foreign Experts Increase the Productivity of Domestic Firms?," IZA Discussion Papers 6001, Institute of Labor Economics (IZA).
    21. Frantisek Cech & Jozef Barunik, 2017. "Measurement of Common Risk Factors: A Panel Quantile Regression Model for Returns," Working Papers IES 2017/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2017.
    22. Ensar Yilmaz & Sayin San, 2017. "Wage gap and dispersion in a partially unionized structure in Turkey," Empirical Economics, Springer, vol. 52(2), pages 577-597, March.
    23. Carbonero, Francesco & Offermanns, Christian J. & Weber, Enzo, 2017. "The fall of the labour income share: the role of technological change and imperfect labour markets," IAB-Discussion Paper 201728, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. Juan Carluccio & Denis Fougère & Erwan Gautier, 2016. "Commerce international, salaires et négociation collective," SciencePo Working papers Main hal-03683916, HAL.
    25. Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    26. Kauhanen, Antti, 2023. "The Effects of the Decentralization of Collective Bargaining on Wages and Wage Dispersion: Evidence from the Finnish Forest and IT Industries," ETLA Working Papers 105, The Research Institute of the Finnish Economy.
    27. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2023. "Natural and cyclical unemployment: A stochastic frontier decomposition and economic policy implications," Bulletin of Economic Research, Wiley Blackwell, vol. 75(1), pages 5-39, January.
    28. Ramos, Raul & Sanromá, Esteban & Simón, Hipólito, 2018. "Wage Differentials by Bargaining Regime in Spain (2002-2014): An Analysis Using Matched Employer-Employee Data," IZA Discussion Papers 12013, Institute of Labor Economics (IZA).
    29. Barth, Erling & Bryson, Alex & Dale-Olsen, Harald, 2020. "Do Public Subsidies of Union Membership Increase Union Membership Rates?," IZA Discussion Papers 13747, Institute of Labor Economics (IZA).
    30. Gueyon Kim & Dohyeon Lee, 2020. "Offshoring and Segregation by Skill: Theory and Evidence," Working Papers 2020-073, Human Capital and Economic Opportunity Working Group.
    31. Fanfani, Bernardo, 2023. "The employment effects of collective wage bargaining," Journal of Public Economics, Elsevier, vol. 227(C).
    32. Kreiner, Claus Thustrup & Munch, Jakob Roland & Whitta-Jacobsen, Hans Jørgen, 2015. "Taxation and the long run allocation of labor: Theory and Danish evidence," Journal of Public Economics, Elsevier, vol. 127(C), pages 74-86.
    33. Ramos, Raul & Sanromá, Esteban & Simón, Hipólito, 2022. "Collective bargaining levels, employment and wage inequality in Spain," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 375-395.
    34. Acosta, Camilo & Lyngemark, Ditte Håkonsson, 2021. "The internal spatial organization of firms: Evidence from Denmark," Journal of Urban Economics, Elsevier, vol. 124(C).
    35. Aglio, Daniele & Di Mauro, Filippo, 2020. "Decentralisation of collective bargaining: A path to productivity?," IWH-CompNet Discussion Papers 3/2020, Halle Institute for Economic Research (IWH).
    36. Francesco Carbonero & Christian Offermanns & Enzo Weber, 2017. "The Trend in Labour Income Share: the Role of Technological Change and Imperfect Labour Markets," Working Papers 173, Bavarian Graduate Program in Economics (BGPE).
    37. Maczulskij, Terhi & Haapanen, Mika & Kauhanen, Antti & Riukula, Krista, 2021. "Dark Half: Decentralized Bargaining and Well-Being at Work," IZA Discussion Papers 14654, Institute of Labor Economics (IZA).
    38. Bernd Brandl, 2023. "Everything we do know (and don’t know) about collective bargaining: The Zeitgeist in the academic and political debate on the role and effects of collective bargaining," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(3), pages 660-678, August.
    39. Orsetta Causa & Mikkel Hermansen & Nicolas Ruiz & Caroline Klein & Zuzana Smidova, 2016. "Inequality in Denmark through the Looking Glass," OECD Economics Department Working Papers 1341, OECD Publishing.
    40. Ashournia, Damoun & Munch, Jakob R. & Nguyen, Daniel, 2014. "The Impact of Chinese Import Penetration on Danish Firms and Workers," IZA Discussion Papers 8166, Institute of Labor Economics (IZA).
    41. Cardullo, Gabriele, 2024. "Slouching Towards Decentralization. An Equilibrium Approach for Collective Bargaining," IZA Discussion Papers 16870, Institute of Labor Economics (IZA).
    42. Torben M. Andersen, 2023. "The Danish labor market, 2000–2022," IZA World of Labor, Institute of Labor Economics (IZA), pages 404-404, April.
    43. Eleonora Matteazzi & Stefani Scherer, 2021. "Gender Wage Gap and the Involvement of Partners in Household Work," Work, Employment & Society, British Sociological Association, vol. 35(3), pages 490-508, June.
    44. Elin Svarstad & Ragnar Nymoen, 2023. "Wage inequality and union membership at the establishment level: An econometric study using Norwegian data," Oxford Economic Papers, Oxford University Press, vol. 75(2), pages 371-392.
    45. Xavier Vollenweider, 2014. "A simple framework for the estimation of climate exposure," GRI Working Papers 158, Grantham Research Institute on Climate Change and the Environment.
    46. Ulku,Hulya & Muzi,Silvia, 2015. "Labor market regulations and outcomes in Sweden : a comparative analysis of recent trends," Policy Research Working Paper Series 7229, The World Bank.
    47. Marco de Pinto, 2015. "Firm-level versus Sector-level Trade Unions – The Role of Rent-Sharing Motives," IAAEU Discussion Papers 201508, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    48. Yana Gallen, 2018. "Motherhood and the Gender Productivity Gap," Working Papers 2018-091, Human Capital and Economic Opportunity Working Group.
    49. Torben M. Andersen, 2019. "The Danish labor market, 2000–2018," IZA World of Labor, Institute of Labor Economics (IZA), pages 404-404, December.
    50. Yannick Bormans & Angelos Theodorakopoulos, 2023. "Productivity dispersion, wage dispersion and superstar firms," Economica, London School of Economics and Political Science, vol. 90(360), pages 1145-1172, October.
    51. Tetsuo Yamamori & Kazuyuki Iwata, 2019. "Endogenous Social Preferences in Bargaining and Contract Enforcement," Working Papers e134, Tokyo Center for Economic Research.
    52. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2018. "The effects of offshoring to low-wage countries on domestic wages: a worldwide industrial analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 129-163, February.
    53. Anita Szymańska & Małgorzata Zielenkiewicz, 2022. "Declining Labour Income Share and Personal Income Inequality in Advanced Countries," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    54. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    55. Salverda, Wiemer & Checchi, Daniele, 2014. "Labour-Market Institutions and the Dispersion of Wage Earnings," IZA Discussion Papers 8220, Institute of Labor Economics (IZA).
    56. Benjamin Friedrich, 2015. "Trade Shocks, Firm Hierarchies and Wage Inequality," Economics Working Papers 2015-26, Department of Economics and Business Economics, Aarhus University.
    57. Annaïg Morin, 2023. "Workplace heterogeneity and wage inequality in Denmark," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 123-133, January.
    58. Paola Naddeo & Stefania Cardinaleschi, 2018. "Wage Gaps By Collective Bargaining And Firm Size In Italy," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(1), pages 31-40, January-M.

  6. Christian M. Dahl & Hans Christian Kongsted & Anders Sørensen, 2010. "ICT and Productivity Growth in the 1990's: Panel Data Evidence on Europe," CREATES Research Papers 2010-47, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Zheng, Jiajia & Wang, Xingwu, 2022. "Impacts on human development index due to combinations of renewables and ICTs --new evidence from 26 countries," Renewable Energy, Elsevier, vol. 191(C), pages 330-344.
    2. Edquist, Harald & Henrekson, Magnus, 2017. "Swedish lessons: How important are ICT and R&D to economic growth?," Structural Change and Economic Dynamics, Elsevier, vol. 42(C), pages 1-12.
    3. Anupam Das & Murshed Chowdhury & Sariah Seaborn, 2018. "ICT Diffusion, Financial Development and Economic Growth: New Evidence from Low and Lower Middle-Income Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 928-947, September.
    4. Maté Fodor, 2016. "Essays on Education, Wages and Technology," ULB Institutional Repository 2013/239691, ULB -- Universite Libre de Bruxelles.
    5. Vincenzo Atella & Lorenzo Carbonari, 2017. "Is Gerontocracy Harmful for Growth? a Comparative Study of Seven European Countries," Journal of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 141-168, May.
    6. Capello, Roberta & Lenzi, Camilla & Perucca, Giovanni, 2022. "The modern Solow paradox. In search for explanations," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 166-180.
    7. Munshi Naser Ibne Afzal & Munshi Naser Ibne Afzal & Jeff Gow & Jeff Gow, 2016. "Electricity Consumption and Information and Communication Technology in the Next Eleven Emerging Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 381-388.
    8. Roberto Camagni & Roberta Capello & Giovanni Perucca, 2022. "Beyond productivity slowdown: Quality, pricing and resource reallocation in regional competitiveness," Papers in Regional Science, Wiley Blackwell, vol. 101(6), pages 1307-1330, December.
    9. Raquel Ortega-Argilés, 2012. "The Transatlantic Productivity Gap: A Survey Of The Main Causes," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 395-419, July.
    10. Niebel, Thomas, 2018. "ICT and economic growth – Comparing developing, emerging and developed countries," World Development, Elsevier, vol. 104(C), pages 197-211.
    11. Andrea Caragliu & Camilla Lenzi & Andrea Caragliu, 2013. "Dynamics of knowledge diffusion: the ICT sector in Lombardy," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(4), pages 453-473, November.
    12. Hope, David & Martelli, Angelo, 2019. "The transition to the knowledge economy, labor market institutions, and income inequality in advanced democracies," LSE Research Online Documents on Economics 100382, London School of Economics and Political Science, LSE Library.
    13. Falk, Martin & Hagsten, Eva, 2015. "E-commerce trends and impacts across Europe," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 357-369.
    14. Chung, Hyuk, 2018. "ICT investment-specific technological change and productivity growth in Korea: Comparison of 1996–2005 and 2006–2015," Telecommunications Policy, Elsevier, vol. 42(1), pages 78-90.
    15. Chang-Gyu Yang & Silvana Trimi & Sang-Gun Lee & Joon-Sun Yang, 2017. "A Survival Analysis of Business Insolvency in ICT and Automobile Industries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1523-1548, November.
    16. Aravena, Claudio & Hofman, André A. & Fernández de Guevara, Juan & Mas, Matilde, 2014. "Evaluating policies to improve total factor productivity in four large Latin American countries," Macroeconomía del Desarrollo 36839, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    17. Gasanov, Oscar, 2022. "Влияние Цифровизации На Экономику России [The impact of digitalization on the Russian economy]," MPRA Paper 119772, University Library of Munich, Germany, revised 30 Jun 2022.

  7. Christian M. Dahl & Emma M. Iglesias, 2009. "Modelling the Volatility-Return Trade-off when Volatility may be Nonstationary," CREATES Research Papers 2009-59, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.

  8. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Song, Zefang & Song, Xinyuan & Li, Yuan, 2023. "Bayesian Analysis of ARCH-M model with a dynamic latent variable," Econometrics and Statistics, Elsevier, vol. 28(C), pages 47-62.
    2. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
    3. Frazier, David T. & Liu, Xiaochun, 2016. "A new approach to risk-return trade-off dynamics via decomposition," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 43-55.
    4. Hong, Seok Young & Linton, Oliver, 2020. "Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff," Journal of Econometrics, Elsevier, vol. 219(2), pages 389-424.
    5. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    6. Conrad, Christian & Mammen , Enno, 2015. "Asymptotics for parametric GARCH-in-Mean Models," Working Papers 0579, University of Heidelberg, Department of Economics.
    7. Zhu Huafeng & Zhang Xingfa & Liang Xin & Li Yuan, 2018. "Moving Average Model with an Alternative GARCH-Type Error," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 165-177, April.
    8. Sander Barendse & Erik Kole & Dick van Dijk, 2019. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Tinbergen Institute Discussion Papers 19-058/III, Tinbergen Institute.
    9. Hafner, Christian & Kyriakopoulou, Dimitra, 2020. "Exponential-Type GARCH Models With Linear-in-Variance Risk Premium," LIDAM Reprints ISBA 2020029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    11. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    12. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.
    13. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.

  9. Christian M. Dahl & Yu Qin, 2008. "The limiting behavior of the estimated parameters in a misspecified random field regression model," CREATES Research Papers 2008-45, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. D. Bond & M.J. Harrision & E.J. O, Brien, 2005. "Investigating Nonlinearity: A Note on the Estimation of Hamilton's Random Field Regression Model," Trinity Economics Papers 200054, Trinity College Dublin, Department of Economics.

  10. John A Carlson & Christian M. Dahl & Carol L. Osler, 2008. "Short-run Exchange-Rate Dynamics: Theory and Evidence," CREATES Research Papers 2008-01, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Moore, Michael J. & Roche, Maurice J., 2010. "Solving exchange rate puzzles with neither sticky prices nor trade costs," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1151-1170, October.
    2. Craig Burnside & Bing Han & David Hirshleifer & Tracy Yue Wang, 2011. "Investor Overconfidence and the Forward Premium Puzzle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(2), pages 523-558.
    3. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    4. Michael King & Carol Osler & Dagfinn Rime, 2012. "The Market Microstructure Approach to Foreign Exchange: Looking Back and Looking Forward," Working Papers 54, Brandeis University, Department of Economics and International Business School.
    5. Stanley W. Black, 2015. "The Portfolio Theory of Exchange Rates—Then and Now," Review of International Economics, Wiley Blackwell, vol. 23(2), pages 379-386, May.
    6. Han, Bing & Hirshleifer, David & Wang, Tracy, 2005. "Investor Overconfidence and the Forward Discount Puzzle," MPRA Paper 6497, University Library of Munich, Germany, revised Dec 2007.
    7. Carol Osler & Xuhang Wang, 2012. "The Microstructure of Currency Markets," Working Papers 49, Brandeis University, Department of Economics and International Business School.
    8. Olaf Posch, 2009. "Explaining Output Volatility: The Case of Taxation," CESifo Working Paper Series 2751, CESifo.
    9. Chang, Sanders S., 2013. "Can cross-country portfolio rebalancing give rise to forward bias in FX markets?," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1079-1096.
    10. Moore, Michael J. & Roche, Maurice J., 2012. "When does uncovered interest parity hold?," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 865-879.
    11. Maurice J. Roche & Michael J. Moore, 2010. "For Rich or for Poor: When does Uncovered Interest Parity Hold?," Working Papers 015, Ryerson University, Department of Economics.
    12. Kumar, Satish, 2019. "Does risk premium help uncover the uncovered interest parity failure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    13. Ding, Liang & Ma, Jun, 2013. "Portfolio reallocation and exchange rate dynamics," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3100-3124.
    14. Geir H. Bjønnes & Carol L. Osler & Dagfinn Rime, 2009. "Asymmetric information in the interbank foreign exchange market," Working Paper 2008/25, Norges Bank.

  11. Christian M. Dahl & Henrik Hansen & John Smidt, 2008. "The cyclical component factor model," CREATES Research Papers 2008-44, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Arvid Raknerud & Terje Skjerpen & Anders Rygh Swensen, 2007. "Forecasting key macroeconomic variables from a large number of predictors: A state space approach," Discussion Papers 504, Statistics Norway, Research Department.
    2. Stavros Degiannakis, 2023. "The D-model for GDP nowcasting," Working Papers 317, Bank of Greece.
    3. Albers, Thilo Nils Hendrik, 2018. "The prelude and global impact of the Great Depression: Evidence from a new macroeconomic dataset," Explorations in Economic History, Elsevier, vol. 70(C), pages 150-163.

  12. Christian M. Dahl & Emma M. Iglesias, 2008. "The limiting properties of the QMLE in a general class of asymmetric volatility models," CREATES Research Papers 2008-38, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. A. B. M. Rabiul Alam Beg & Sajid Anwar, 2014. "Detecting volatility persistence in GARCH models in the presence of the leverage effect," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2205-2213, December.
    2. Sucarrat, Genaro & Escribano, Álvaro, 2010. "The power log-GARCH model," UC3M Working papers. Economics we1013, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Sucarrat, Genaro & Escribano, Álvaro, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.

  13. Dahl, Christian M. & Nielsen, Steen, 2001. "The Random Walk Of Stock Prices: Implications Of Recent Nonpara-Metric Tests," Working Papers 07-2001, Copenhagen Business School, Department of Economics.

    Cited by:

    1. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    2. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.

  14. C. Dahl, 1995. "Modelling U.S. Energy Demand: a Survey of Econometric Demand Elasticities," Economics Discussion / Working Papers 95-02, The University of Western Australia, Department of Economics.

    Cited by:

    1. James Ko & Carol Dahl, 2001. "Interfuel substitution in US electricity generation," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1833-1843.

  15. Stefan Holst Bache & Christian M. Dahl & Johannes Tang, "undated". "Headlights on tobacco road to low birthweight outcomes - Evidence from a battery of quantile regression estimators and a heterogeneous panelCreation-Date: 20080508," CREATES Research Papers 2008-20, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Hope Corman & Dhaval M. Dave & Nancy E. Reichman, 2017. "Evolution of the Infant Health Production Function," Working Papers id:12331, eSocialSciences.
    2. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    3. Barrientos, Armando & Debowicz, Darío & Woolard, Ingrid, 2016. "Heterogeneity in Bolsa Família outcomes," The Quarterly Review of Economics and Finance, Elsevier, vol. 62(C), pages 33-40.

Articles

  1. Christian Møller Dahl & Casper Worm Hansen & Peter Sandholt Jensen, 2022. "The 1918 epidemic and a V‐shaped recession: evidence from historical tax records," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 139-163, January.

    Cited by:

    1. Doran, Áine & Colvin, Christopher L. & McLaughlin, Eoin, 2023. "What can we learn from historical pandemics? A systematic review of the literature," QUCEH Working Paper Series 23-10, Queen's University Belfast, Queen's University Centre for Economic History.

  2. Borowiecki, Karol Jan & Dahl, Christian Møller, 2021. "What makes an artist? The evolution and clustering of creative activity in the US since 1850," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    See citations under working paper version above.
  3. Dahl, Christian M. & Effraimidis, Georgios & Pedersen, Mikkel H., 2019. "Nonparametric wind power forecasting under fixed and random censoring," Energy Economics, Elsevier, vol. 84(C).

    Cited by:

    1. Pliego Marugán, Alberto & García Márquez, Fausto Pedro & Pinar Pérez, Jesús María, 2022. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Alberto Pliego Marug'an & Fausto Pedro Garc'ia M'arquez & Jes'us Mar'ia Pinar P'erez, 2024. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Papers 2401.08251, arXiv.org.

  4. Croonenbroeck, Carsten & Dahl, Christian Møller, 2014. "Accurate medium-term wind power forecasting in a censored classification framework," Energy, Elsevier, vol. 73(C), pages 221-232.

    Cited by:

    1. Croonenbroeck, Carsten & Stadtmann, Georg, 2019. "Renewable generation forecast studies – Review and good practice guidance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 312-322.
    2. Song, MengXuan & Wu, BingHeng & Chen, Kai & Zhang, Xing & Wang, Jun, 2016. "Simulating the wake flow effect of wind turbines on velocity and turbulence using particle random walk method," Energy, Elsevier, vol. 116(P1), pages 583-591.
    3. Zhongrong Zhang & Yiliao Song & Feng Liu & Jinpeng Liu, 2016. "Daily Average Wind Power Interval Forecasts Based on an Optimal Adaptive-Network-Based Fuzzy Inference System and Singular Spectrum Analysis," Sustainability, MDPI, vol. 8(2), pages 1-30, January.
    4. Croonenbroeck, Carsten & Hüttel, Silke, 2017. "Quantifying the economic efficiency impact of inaccurate renewable energy price forecasts," Energy, Elsevier, vol. 134(C), pages 767-774.
    5. Croonenbroeck, Carsten & Ambach, Daniel, 2014. "Censored spatial wind power prediction with random effects," Discussion Papers 362, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Croonenbroeck, Carsten & Ambach, Daniel, 2015. "Censored spatial wind power prediction with random effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 613-622.
    7. Croonenbroeck, Carsten & Stadtmann, Georg, 2015. "Minimizing asymmetric loss in medium-term wind power forecasting," Renewable Energy, Elsevier, vol. 81(C), pages 197-208.
    8. María Pérez-Ortiz & Silvia Jiménez-Fernández & Pedro A. Gutiérrez & Enrique Alexandre & César Hervás-Martínez & Sancho Salcedo-Sanz, 2016. "A Review of Classification Problems and Algorithms in Renewable Energy Applications," Energies, MDPI, vol. 9(8), pages 1-27, August.
    9. Croonenbroeck, Carsten & Ambach, Daniel, 2014. "A comparison of different wind power forecasting models to the Mycielski approach," Discussion Papers 355, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    10. Ziel, Florian & Croonenbroeck, Carsten & Ambach, Daniel, 2016. "Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity," Applied Energy, Elsevier, vol. 177(C), pages 285-297.
    11. Marčiukaitis, Mantas & Žutautaitė, Inga & Martišauskas, Linas & Jokšas, Benas & Gecevičius, Giedrius & Sfetsos, Athanasios, 2017. "Non-linear regression model for wind turbine power curve," Renewable Energy, Elsevier, vol. 113(C), pages 732-741.
    12. Daniel Ambach & Carsten Croonenbroeck, 2016. "Space-time short- to medium-term wind speed forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(1), pages 5-20, March.
    13. Jannik Schütz Roungkvist & Peter Enevoldsen, 2020. "Timescale classification in wind forecasting: A review of the state‐of‐the‐art," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 757-768, August.
    14. Piotr Powroźnik & Paweł Szcześniak & Łukasz Sobolewski & Krzysztof Piotrowski, 2022. "Novel Functionalities of Smart Home Devices for the Elastic Energy Management Algorithm," Energies, MDPI, vol. 15(22), pages 1-17, November.
    15. Daniel Ambach & Carsten Croonenbroeck, 2016. "Space-time short- to medium-term wind speed forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(1), pages 5-20, March.

  5. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.

    Cited by:

    1. Fulvio Castellacci & Bart Los & Gaaitzen Vries, 2014. "Sectoral productivity trends: convergence islands in oceans of non-convergence," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 983-1007, November.
    2. Mateut, Simona & Chevapatrakul, Thanaset, 2018. "Customer financing, bargaining power and trade credit uptake," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 147-162.
    3. Damien Rousselière, 2017. "A flexible approach to age dependence in organizational mortality. Comparing the life duration for cooperative and non-cooperative enterprises using a Bayesian Generalized Additive Discrete Time Survi," Working Papers SMART 17-08, INRAE UMR SMART.
    4. Hope Corman & Dhaval M. Dave & Nancy E. Reichman, 2017. "Evolution of the Infant Health Production Function," Working Papers id:12331, eSocialSciences.
    5. Dariusz Wójcik & Eric Knight & Vladimír Pažitka, 2018. "What turns cities into international financial centres? Analysis of cross-border investment banking 2000–2014," Journal of Economic Geography, Oxford University Press, vol. 18(1), pages 1-33.
    6. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    7. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    8. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Kyklos, Wiley Blackwell, vol. 68(4), pages 552-576, November.
    9. Samiul Haque, 2022. "US federal farm payments and farm size: Quantile estimation on panel data," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 139-154, February.
    10. Nicky Lee Grant, 2016. "Correlated Random Effects Quantile Estimation of the Tax-Price Elasticity of Charitable Donations," Economics Bulletin, AccessEcon, vol. 36(3), pages 1729-1736.
    11. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    12. Sinem Koçak & Özge Barış-Tüzemen, 2022. "Impact of the COVID-19 on foreign direct investment inflows in emerging economies: evidence from panel quantile regression," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    13. Anesu Gelfand Kuhudzai & Guido Van Hal & Stefan Van Dongen & Muhammad Ehsanul Hoque, 2022. "Modelling of South African Hypertension: Application of Panel Quantile Regression," IJERPH, MDPI, vol. 19(10), pages 1-10, May.
    14. Mahmoud Hassan & Walid Oueslati & Damien Rousselière, 2020. "Environmental taxes, reforms and economic growth: An empirical analysis of panel data," Post-Print hal-02503305, HAL.
    15. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    16. Raffaele Miniaci & Paolo Panteghini, 2021. "On the Capital Structure of Foreign Subsidiaries: Evidence from a Panel Data Quantile Regression Model," CESifo Working Paper Series 9085, CESifo.
    17. Xavier Vollenweider, 2014. "A simple framework for the estimation of climate exposure," GRI Working Papers 158, Grantham Research Institute on Climate Change and the Environment.
    18. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    19. Yamada, Ken, 2016. "Tracing the impact of large minimum wage changes on household welfare in Indonesia," European Economic Review, Elsevier, vol. 87(C), pages 287-303.
    20. Chin-Hsien Yu & Bruce A. McCarl, 2018. "The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry," Sustainability, MDPI, vol. 10(7), pages 1-22, July.

  6. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    See citations under working paper version above.
  7. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    See citations under working paper version above.
  8. Christian Dahl & Hans Kongsted & Anders Sørensen, 2011. "ICT and productivity growth in the 1990s: panel data evidence on Europe," Empirical Economics, Springer, vol. 40(1), pages 141-164, February.
    See citations under working paper version above.
  9. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    See citations under working paper version above.
  10. Dahl, Christian M. & Hansen, Henrik & Smidt, John, 2009. "The cyclical component factor model," International Journal of Forecasting, Elsevier, vol. 25(1), pages 119-127.
    See citations under working paper version above.
  11. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.

    Cited by:

    1. Amine Lahiani & Duc Khuong Nguyen & Thierry Vo, 2014. "Understanding return and volatility spillovers among major agricultural commodities," Working Papers 2014-243, Department of Research, Ipag Business School.
    2. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    3. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    4. Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Energy Economics, Elsevier, vol. 41(C), pages 1-18.
    5. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    6. Walid Chkili, 2015. "Gold–oil prices co-movements and portfolio diversification implications," Economics Bulletin, AccessEcon, vol. 35(4), pages 2832-2845.
    7. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2651-2663.
    8. Chkili, Walid, 2015. "Gold-oil prices co-movements and portfolio diversification implications," MPRA Paper 68110, University Library of Munich, Germany.
    9. Carl-Henrik Dahlqvist, 2018. "Cross-country information transmissions and the role of commodity markets: A multichannel Markov switching approach," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-22, August.
    10. Yao, Yuan & Zhao, Yang & Li, Yan, 2022. "A volatility model based on adaptive expectations: An improvement on the rational expectations model," International Review of Financial Analysis, Elsevier, vol. 82(C).
    11. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.

  12. Abrevaya, Jason & Dahl, Christian M, 2008. "The Effects of Birth Inputs on Birthweight," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 379-397.

    Cited by:

    1. Sokbae Lee & Ryo Okui & Yoon†Jae Whang, 2017. "Doubly robust uniform confidence band for the conditional average treatment effect function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1207-1225, November.
    2. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    3. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.
    4. Lane F. Burgette & Jerome P. Reiter, 2012. "Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression," Biometrics, The International Biometric Society, vol. 68(1), pages 92-100, March.
    5. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    6. Ji Yan, 2013. "Prenatal Smoking Cessation and Infant Health: Evidence from Sibling Births," Southern Economic Journal, John Wiley & Sons, vol. 80(2), pages 299-323, October.
    7. Fang, Zheng & Niimi, Yoko, 2015. "Do Losses Bite More than Gains? Evidence from a Panel Quantile Regression Analysis of Subjective Well-being in Japan," AGI Working Paper Series 2015-18, Asian Growth Research Institute.
    8. Antecol, Heather & Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of Teach for America on the distribution of student achievement in primary school: Evidence from a randomized experiment," Economics of Education Review, Elsevier, vol. 37(C), pages 113-125.
    9. Khandker, Shahidur R. & Bakht, Zaid & Koolwal, Gayatri B., 2006. "The poverty impact of rural roads : evidencefrom Bangladesh," Policy Research Working Paper Series 3875, The World Bank.
    10. Brantly Callaway & Tong Li, 2019. "Quantile treatment effects in difference in differences models with panel data," Quantitative Economics, Econometric Society, vol. 10(4), pages 1579-1618, November.
    11. Olivier Bargain & Prudence Kwenda, 2013. "The Informal Sector Wage Gap: New Evidence using Quantile Estimations on Panel Data," Working Papers halshs-00967324, HAL.
    12. Nadine Levratto & Aziza Garsaa & Luc Tessier, 2013. "To what extent do exemptions from social security contributions affect firm growth? New evidence using quantile estimations on panel data," EconomiX Working Papers 2013-15, University of Paris Nanterre, EconomiX.
    13. Antonio De Socio & Valentina Nigro, 2012. "Does corporate taxation affect cross-country firm leverage?," Temi di discussione (Economic working papers) 889, Bank of Italy, Economic Research and International Relations Area.
    14. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    15. Asfaw, Abraham Abebe, 2018. "The distributional effect of investment in early childhood nutrition: A panel quantile approach," World Development, Elsevier, vol. 110(C), pages 63-74.
    16. Mateut, Simona & Chevapatrakul, Thanaset, 2018. "Customer financing, bargaining power and trade credit uptake," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 147-162.
    17. Stacy, Brian, 2014. "Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables," EconStor Preprints 104744, ZBW - Leibniz Information Centre for Economics.
    18. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    19. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Giovanni Dosi & Maria Enrica Virgillito & Xiaodan Yu, 2019. "The Wage-Productivity Nexus in the World Factory Economy," LEM Papers Series 2019/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Wolfgang Frimmel & Gerald J. Pruckner, 2011. "Birth weight and family status revisited: evidence from Austrian register data," NRN working papers 2011-18, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    22. Xiaoying Liu & Jere R. Behrman & Emily Hannum & Fan Wang & Qingguo Zhao, 2022. "Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China," Papers 2204.00219, arXiv.org.
    23. Habert white & Tae-Hwan Kim & Simone Manganelli, 2012. "VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles," Working papers 2012rwp-45, Yonsei University, Yonsei Economics Research Institute.
    24. Baron, E. Jason, 2018. "The Effect of Teachers’ Unions on Student Achievement in the Short Run: Evidence from Wisconsin’s Act 10," Economics of Education Review, Elsevier, vol. 67(C), pages 40-57.
    25. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    26. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2008. "Am I Missing Something? The Effects of Absence from Class on Student Performance," IZA Discussion Papers 3749, Institute of Labor Economics (IZA).
    27. Hope Corman & Dhaval M. Dave & Nancy E. Reichman, 2017. "Evolution of the Infant Health Production Function," Working Papers id:12331, eSocialSciences.
    28. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    29. Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
    30. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
    31. 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.
    32. Gillingham, Kenneth & Munk-Nielsen, Anders, 2019. "A tale of two tails: Commuting and the fuel price response in driving," Journal of Urban Economics, Elsevier, vol. 109(C), pages 27-40.
    33. Jorge Eduardo Camusso & Ana Inés Navarro, 2020. "COVID-19, recession and fall in real wages in Argentina. Who will be most affected?," Asociación Argentina de Economía Política: Working Papers 4323, Asociación Argentina de Economía Política.
    34. Tripathi, Abhinava & Dixit, Alok & Vipul,, 2021. "Liquidity commonality in extreme quantiles: Indian evidence," Finance Research Letters, Elsevier, vol. 38(C).
    35. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2016. "A quantile correlated random coefficients panel data model," CeMMAP working papers 34/16, Institute for Fiscal Studies.
    36. Leah K. Lakdawala & David Simon, 2016. "The Intergenerational Consequences of Tobacco Policy," Working papers 2016-27, University of Connecticut, Department of Economics.
    37. Nordman, Christophe Jalil & Rakotomanana, Faly & Roubaud, François, 2016. "Informal versus Formal: A Panel Data Analysis of Earnings Gaps in Madagascar," IZA Discussion Papers 9970, Institute of Labor Economics (IZA).
    38. Dariusz Wójcik & Eric Knight & Vladimír Pažitka, 2018. "What turns cities into international financial centres? Analysis of cross-border investment banking 2000–2014," Journal of Economic Geography, Oxford University Press, vol. 18(1), pages 1-33.
    39. Binder, Martin & Coad, Alex, 2011. "From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 275-290, August.
    40. Bacci, Silvia & Bartolucci, Francesco & Pieroni, Luca, 2012. "A causal analysis of mother’s education on birth inequalities," MPRA Paper 38754, University Library of Munich, Germany.
    41. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    42. Martina Pons, 2022. "The impact of air pollution on birthweight: evidence from grouped quantile regression," Empirical Economics, Springer, vol. 62(1), pages 279-296, January.
    43. Siminski, Peter, 2008. "What Would the Average Public Sector Employee be Paid in the Private Sector?," Economics Working Papers wp08-05, School of Economics, University of Wollongong, NSW, Australia.
    44. Silvia Bacci & Francesco Bartolucci & Manuela Chiavarini & Liliana Minelli & Luca Pieroni, 2014. "Differences in Birthweight Outcomes: A Longitudinal Study Based on Siblings," IJERPH, MDPI, vol. 11(6), pages 1-13, June.
    45. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    46. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    47. Ando, Tomohiro & Bai, Jushan, 2018. "Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity," MPRA Paper 88765, University Library of Munich, Germany.
    48. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    49. Evans, Mary F. & Schaur, Georg, 2010. "A quantile estimation approach to identify income and age variation in the value of a statistical life," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 260-270, May.
    50. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    51. Samiul Haque, 2022. "US federal farm payments and farm size: Quantile estimation on panel data," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 139-154, February.
    52. Jang, Woosung & Wang, Huixia Judy, 2015. "A semiparametric Bayesian approach for joint-quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 99-115.
    53. Lima, Luiz Renato & Mesquita, Shirley & Wanamaker, Marianne, 2015. "Child labor and the wealth paradox: The role of altruistic parents," Economics Letters, Elsevier, vol. 130(C), pages 80-82.
    54. Armando Barrientos & Dario Debowicz & Ingrid Woolard, 2014. "Antipoverty Transfers and Inclusive Growth in Brazil," Global Development Institute Working Paper Series iriba_wp04, GDI, The University of Manchester.
    55. Cygan-Rehm, Kamila & Karbownik, Krzysztof, 2020. "The Effects of Incentivizing Early Prenatal Care on Infant Health," IZA Discussion Papers 13874, Institute of Labor Economics (IZA).
    56. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    57. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2012. "Estimating Conditional Average Treatment Effects," CEU Working Papers 2012_16, Department of Economics, Central European University, revised 20 Jul 2012.
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    110. Josep Raya Vilchez, 2013. "Destination and Seasonality Valuations: A Quantile Approach," Tourism Economics, , vol. 19(4), pages 835-853, August.
    111. Maricruz Lacalle-Calderon & Manuel Perez-Trujillo & Isabel Neira, 2015. "Fertility and Economic Development: Quantile Regression Evidence on the Inverse J-shaped Pattern," Documentos de Trabajo en Economia y Ciencia Regional 70, Universidad Catolica del Norte, Chile, Department of Economics, revised Apr 2016.
    112. Shin-Yi Chou & Echu Liu & Min-Jen Lin & Jin-Tan Liu, 2015. "Better peers, better scores? A study of twin junior high school graduates in Taiwan," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3462-3481, July.
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  13. Dahl, Christian M. & Levine, Michael, 2006. "Nonparametric estimation of volatility models with serially dependent innovations," Statistics & Probability Letters, Elsevier, vol. 76(18), pages 2007-2016, December.

    Cited by:

    1. Brendan K. Beare, 2008. "Unit Root Testing with Unstable Volatility," Economics Papers 2008-W06, Economics Group, Nuffield College, University of Oxford.
    2. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    3. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.

  14. Dahl, Christian & Hansen, Henrik & Smidt, John, 2005. "Makroøkonomiske forudsigelser baseret på diffusionsindeks," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2005(1), pages 125-152.

    Cited by:

    1. Christian M. Dahl & Henrik Hansen & John Smidt, 2008. "The cyclical component factor model," CREATES Research Papers 2008-44, Department of Economics and Business Economics, Aarhus University.

  15. Dahl, Christian M. & Hylleberg, Svend, 2004. "Flexible regression models and relative forecast performance," International Journal of Forecasting, Elsevier, vol. 20(2), pages 201-217.

    Cited by:

    1. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    2. Kourentzes, Nikolaos, 2013. "Intermittent demand forecasts with neural networks," International Journal of Production Economics, Elsevier, vol. 143(1), pages 198-206.
    3. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    4. Donya Rahmani & Saeed Heravi & Hossein Hassani & Mansi Ghodsi, 2016. "Forecasting time series with structural breaks with Singular Spectrum Analysis, using a general form of recurrent formula," Papers 1605.02188, arXiv.org.
    5. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    6. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    7. Bond, Derek & Harrison, Michael J & Hession, Niall & O’Brien, Edward J., 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Research Technical Papers 3/RT/06, Central Bank of Ireland.
    8. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    9. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2007. "Demand for Money: A Study in Testing Time Series for Long Memory and Nonlinearity," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 1-24.
    10. Adnan Aktepe & Emre Yanık & Süleyman Ersöz, 2021. "Demand forecasting application with regression and artificial intelligence methods in a construction machinery company," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1587-1604, August.

  16. Christian M. Dahl & Lin Xia, 2004. "Quantification of Qualitative Survey Data and Test of Consistent Expectations: A New Likelihood Approach," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(1), pages 71-92.

    Cited by:

    1. Marco Malgarini & Patrizia Margani & Bianca Maria Martelli, 2005. "Re-engineering the ISAE manufacturing survey," ISAE Working Papers 47, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    2. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    3. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.

  17. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.

    Cited by:

    1. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
    2. Lu, Xun & White, Halbert, 2014. "Robustness checks and robustness tests in applied economics," Journal of Econometrics, Elsevier, vol. 178(P1), pages 194-206.
    3. Shyh-Wei Chen & Chung-Hua Shen & Zixiong Xie, 2006. "Nonlinear relationship between inflation and inflation uncertainty in Taiwan," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 529-533.
    4. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Paper series 42_09, Rimini Centre for Economic Analysis.
    5. Christopher Martin & Costas Milas, 2007. "Testing the Opportunistic Approach to Monetary Policy," Keele Economics Research Papers KERP 2007/02, Centre for Economic Research, Keele University.
    6. D. Bond & M.J. Harrision & E.J. O, Brien, 2005. "Investigating Nonlinearity: A Note on the Estimation of Hamilton's Random Field Regression Model," Trinity Economics Papers 200054, Trinity College Dublin, Department of Economics.
    7. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    8. Milas, Costas & Naraidoo, Ruthira, 2012. "Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 173-189, January.
    9. Bond, Derek & Dyson, Kenneth, 2006. "Long memory and non-linearity in Stock Markets," MPRA Paper 252, University Library of Munich, Germany.
    10. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    11. Gabriella Deborah Legrenzi & Costas Milas, 2012. "Fiscal Policy Sustainability, Economic Cycle and Financial Crises: The Case of the GIPS," CESifo Working Paper Series 4001, CESifo.
    12. 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.
    13. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    14. Patrick Francois & Huw Lloyd-Ellis, 2004. "Investment Cycles," Macroeconomics 0405005, University Library of Munich, Germany, revised 05 May 2004.
    15. Hyginus Leon & Serineh Najarian, 2005. "Asymmetric adjustment and nonlinear dynamics in real exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 15-39.
    16. Charles Ka Yui Leung & Nan-Kuang Chen & Chih-Chiang Hsu, 2004. "Structural Break or Asymmetry? An Empirical Study of the Stock Wealth Effect on Consumption," Econometric Society 2004 Far Eastern Meetings 690, Econometric Society.
    17. Chung-Hua Shen & Chien-Chiang Lee & Shyh-Wei Chen & Zixiong Xie, 2011. "Roles played by financial development in economic growth: application of the flexible regression model," Empirical Economics, Springer, vol. 41(1), pages 103-125, August.
    18. Pessoa, Filipe de Morais Cangussu & Braga, Marcelo José, 2019. "Economic growth and financial development in Brazil: a flexible regression model approach," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    19. Dimitris K. Christopoulos & Miguel A. Le√N-Ledesma, 2007. "A Long-Run Non-Linear Approach to the Fisher Effect," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 543-559, March.
    20. Rebeca Jiménez-Rodríguez, 2015. "Oil price shocks and stock markets: testing for non-linearity," Empirical Economics, Springer, vol. 48(3), pages 1079-1102, May.
    21. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.
    22. Mr. Gene L. Leon & Serineh Najarian, 2003. "Time-Varying Thresholds: An Application to Purchasing Power Parity," IMF Working Papers 2003/181, International Monetary Fund.
    23. Pablo Gonzalez & Mauricio Tejada, 2006. "No linealidades en la regla de política monetaria del Banco Central de Chile: una evidencia empírica," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 21(1), pages 81-115, July.
    24. Dahl Christian M. & Gonzalez-Rivera Gloria, 2003. "Identifying Nonlinear Components by Random Fields in the US GNP Growth. Implications for the Shape of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(1), pages 1-35, April.
    25. Kasai, Ndahiriwe & Naraidoo, Ruthira, 2011. "Evaluating the forecasting performance of linear and nonlinear monetary policy rules for South Africa," MPRA Paper 40699, University Library of Munich, Germany.
    26. Gawon Yoon, 2010. "Does nonlinearity help resolve the Fisher effect puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 823-828.
    27. Lars Jonung, 2005. "Proceedings of the 2004 first annual DG ECFIN research conference on “Business Cycles and Growth in Europeâ€," European Economy - Economic Papers 2008 - 2015 227, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    28. Bond, Derek & Harrison, Michael J & Hession, Niall & O’Brien, Edward J., 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Research Technical Papers 3/RT/06, Central Bank of Ireland.
    29. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.
    30. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
    31. Byeongseon Seo, 2004. "Testing for Nonlinear Adjustment in Smooth Transition Vector Error Correction Models," Econometric Society 2004 Far Eastern Meetings 749, Econometric Society.
    32. Charfeddine, Lanouar & Klein, Tony & Walther, Thomas, 2018. "Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?," QBS Working Paper Series 2018/03, Queen's University Belfast, Queen's Business School.
    33. Chi-Young Choi & Anthony Murphy & Jyh-Lin Wu, 2017. "Segmentation of consumer markets in the US: What do intercity price differences tell us?," Canadian Journal of Economics, Canadian Economics Association, vol. 50(3), pages 738-777, August.
    34. Ruthira Naraidoo & Kasai Ndahiriwe, 2010. "Financial asset prices, linear and nonlinear policy rules. An In-sample assessment of the reaction function of the South African Reserve Bank," Working Papers 201006, University of Pretoria, Department of Economics.
    35. Saad Ahmad, 2020. "Identifying a robust policy rule for the Fed's response to financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 565-578, October.
    36. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2007. "Demand for Money: A Study in Testing Time Series for Long Memory and Nonlinearity," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 1-24.
    37. Mr. Gene L. Leon & Serineh Najarian, 2003. "Asymmetric Adjustment and Nonlinear Dynamics in Real Exchange Rates," IMF Working Papers 2003/159, International Monetary Fund.
    38. Chen, Shyh-Wei & Shen, Chung-Hua & Xie, Zixiong, 2008. "Evidence of a nonlinear relationship between inflation and inflation uncertainty: The case of the four little dragons," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 363-376.
    39. Saphores, Jean-Daniel M. & Boarnet, Marlon G., 2006. "Uncertainty and the timing of an urban congestion relief investment.: The no-land case," Journal of Urban Economics, Elsevier, vol. 59(2), pages 189-208, March.
    40. Thomas Walther & Lanouar Charfeddine & Tony Klein, 2018. "Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?," Working Papers on Finance 1816, University of St. Gallen, School of Finance.
    41. Dahl, Christian M. & Hylleberg, Svend, 2004. "Flexible regression models and relative forecast performance," International Journal of Forecasting, Elsevier, vol. 20(2), pages 201-217.

  18. Dahl Christian M. & Gonzalez-Rivera Gloria, 2003. "Identifying Nonlinear Components by Random Fields in the US GNP Growth. Implications for the Shape of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(1), pages 1-35, April.

    Cited by:

    1. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    2. Davide Pettenuzzo & Halbert White, 2010. "Granger Causality, Exogeneity, Cointegration, and Economic Policy Analysis," Working Papers 36, Brandeis University, Department of Economics and International Business School.
    3. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
    4. Saad Ahmad, 2020. "Identifying a robust policy rule for the Fed's response to financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 565-578, October.
    5. Ricardo Gonçalves Silva, 2004. "Bayesian Semiparametric Regression for Autoregressive Models with Possible Unit Roots," Econometrics 0405002, University Library of Munich, Germany.
    6. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Business School, revised Sep 2013.

  19. Christian M. Dahl, 2002. "An investigation of tests for linearity and the accuracy of likelihood based inference using random fields," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 263-284, June.

    Cited by:

    1. Olivier Bonroy & Jean-Philippe Gervais & Bruno Larue, 2007. "Are exports a monotonic function of exchange rate volatility? Evidence from disaggregated pork exports," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 127-154, February.
    2. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    3. 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.
    4. D H Kim, 2005. "Nonlinearity in the Term Structure," Centre for Growth and Business Cycle Research Discussion Paper Series 51, Economics, The University of Manchester.
    5. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    6. Jie He & Patrick Richard, 2009. "Environmental Kuznets Curve for CO2 in Canada," Cahiers de recherche 09-13, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    7. Tae-Hwy Lee & Zhou Xi & Ru Zhang, 2013. "Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks," Working Papers 201422, University of California at Riverside, Department of Economics, revised Apr 2012.
    8. D H Kim & D R Osborn & M Sensier, 2002. "Nonlinearity in the Fed's Monetary Policy Rule," Economics Discussion Paper Series 0205, Economics, The University of Manchester.
    9. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.
    10. Pablo Gonzalez & Mauricio Tejada, 2006. "No linealidades en la regla de política monetaria del Banco Central de Chile: una evidencia empírica," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 21(1), pages 81-115, July.
    11. Dong Heon Kim, 2004. "Nonlinearity in the Term Structure," Econometric Society 2004 Far Eastern Meetings 440, Econometric Society.
    12. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.
    13. Bond, Derek & Harrison, Michael J & Hession, Niall & O’Brien, Edward J., 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Research Technical Papers 3/RT/06, Central Bank of Ireland.
    14. Huang, Ho-Chuan, 2005. "Diverging evidence of convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 233-255, June.
    15. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2007. "Demand for Money: A Study in Testing Time Series for Long Memory and Nonlinearity," The Economic and Social Review, Economic and Social Studies, vol. 38(1), pages 1-24.
    16. D H Kim, 2004. "Nonlinearity in the Term Structure," Economics Discussion Paper Series 0401, Economics, The University of Manchester.
    17. Dahl, Christian M. & Hylleberg, Svend, 2004. "Flexible regression models and relative forecast performance," International Journal of Forecasting, Elsevier, vol. 20(2), pages 201-217.

  20. Dahl Christian M. & Hansen Niels L., 2001. "The Formation of Inflation Expectations under Changing Inflation Regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(4), pages 1-31, January.

    Cited by:

    1. Matti Viren, 2006. "Inflation Expectations and Regime Shifts," Discussion Papers 5, Aboa Centre for Economics.
    2. Paloviita, Maritta, 2005. "The role of expectations in euro area inflation dynamics," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2005_032.
    3. Jeannine Bailliu & Eiji Fujii, 2004. "Exchange Rate Pass-Through and the Inflation Environment in Industrialized Countries: An Empirical Investigation," Staff Working Papers 04-21, Bank of Canada.
    4. Georgios Chortareas & David Stasavage & Gabriel Sterne, 2003. "Does monetary policy transparency reduce disinflation costs?," Manchester School, University of Manchester, vol. 71(5), pages 521-540, September.
    5. Marcelo Savino Portugal & Angelo Marsiglia Fasolo, 2004. "Imperfect Rationality and Inflationary Inertia: A New Estimation of the Phillips Curve for Brazil," Econometric Society 2004 Latin American Meetings 5, Econometric Society.
    6. Kim Chang-Jin & Kim Yunmi, 2008. "Is the Backward-Looking Component Important in a New Keynesian Phillips Curve?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-20, September.
    7. Juan Ayuso & Graciela L. Kaminsky & David López-Salido, 2003. "Inflation regimes and stabilisation policies: Spain 1962-2001," Investigaciones Economicas, Fundación SEPI, vol. 27(3), pages 615-631, September.
    8. Krekó, Judit & Vonnák, Balázs, 2003. "Makroelemzők inflációs várakozásai Magyarországon [The inflationary expectations of macro analysts in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 315-334.
    9. Ishak-Kasim, Syurkani & Ahmed, Abdullahi D., 2009. "Inflation expectations formation and financial stability in Indonesia," MPRA Paper 27763, University Library of Munich, Germany.

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