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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. Christian M. Dahl & Torben Johansen & Emil N. S{o}rensen & Simon Wittrock, 2021. "HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition," Papers 2101.10862, arXiv.org, revised Mar 2022.
    2. 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).
    3. 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).
    4. 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).
    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. 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.
    7. 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).
    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. Karol J. Borowiecki & Kathryn Graddy, 2019. "Immigrant Artists: Enrichment or Displacement?," ACEI Working Paper Series AWP-03-2019, Association for Cultural Economics International, revised Mar 2019.
    2. 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.
    3. 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).
    4. 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.
    5. 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).
    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. Fiorini, Mario & Stevens, Katrien, 2021. "Scrutinizing the Monotonicity Assumption in IV and fuzzy RD designs," Working Papers 2021-01, University of Sydney, School of Economics.
    2. Dan Black & Joonhwi Joo & Robert LaLonde & Jeffrey Smith & Evan Taylor, 2020. "Simple Tests for Selection: Learning More from Instrumental Variables," Working Papers 2020-048, Human Capital and Economic Opportunity Working Group.
    3. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Jan 2024.
    4. 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.
    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. 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.
    2. Denis Fougère & Erwan Gautier & Juan Carluccio, 2016. "Trade, wages, and collective bargaining," Post-Print hal-03567896, HAL.
    3. Juan Carluccio & Denis Fougère & Erwan Gautier, 2014. "Trade, Wages, and Collective Bargaining: Evidence from France," SciencePo Working papers Main hal-01093629, HAL.
    4. 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.
    5. 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," Sciences Po publications 2016-24, Sciences Po.
    6. Mann, Katja & Pozzoli, Dario, 2022. "Automation and Low-Skill Labor," IZA Discussion Papers 15791, Institute of Labor Economics (IZA).
    7. 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.
    8. Christopher Taber & Rune Vejlin, 2016. "Estimation of a Roy/Search/Compensating Differential Model of the Labor Market," NBER Working Papers 22439, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. Cuéllar-Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "Natural and cyclical unemployment: a stochastic frontier decomposition and economic policy implications," MPRA Paper 76503, University Library of Munich, Germany.
    14. Torben M. Andersen, 2023. "The Danish labor market, 2000–2022," IZA World of Labor, Institute of Labor Economics (IZA), pages 404-404, April.
    15. Gordon B. Dahl & Matthew Knepper, 2020. "Age Discrimination across the Business Cycle," CESifo Working Paper Series 8451, CESifo.
    16. 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.
    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. Tetsuo Yamamori & Kazuyuki Iwata, 2019. "Endogenous Social Preferences in Bargaining and Contract Enforcement," Working Papers e134, Tokyo Center for Economic Research.
    19. Salverda, Wiemer & Checchi, Daniele, 2014. "Labour-Market Institutions and the Dispersion of Wage Earnings," IZA Discussion Papers 8220, Institute of Labor Economics (IZA).
    20. Benjamin Friedrich, 2015. "Trade Shocks, Firm Hierarchies and Wage Inequality," Economics Working Papers 2015-26, Department of Economics and Business Economics, Aarhus University.
    21. Acosta, Camilo & Lyngemark, Ditte Håkonsson, 2019. "The Internal Spatial Organization of Firms: Evidence from Denmark," MPRA Paper 95283, University Library of Munich, Germany.
    22. 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.
    23. Paul Bingley & Lorenzo Cappellari & Niels Westergård-Nielsen, 2011. "Flexicurity, Wage Dynamics and Inequality over the Life-Cycle," CESifo Working Paper Series 3561, CESifo.
    24. 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.
    25. Maibom, Jonas & Vejlin, Rune Majlund, 2021. "Passthrough of Firm Performance to Income and Employment Stability," IZA Discussion Papers 14131, Institute of Labor Economics (IZA).
    26. Andrea Garnero & François Rycx & Isabelle Terraz, 2020. "Productivity and Wage Effects of Firm‐Level Collective Agreements: Evidence from Belgian Linked Panel Data," British Journal of Industrial Relations, London School of Economics, vol. 58(4), pages 936-972, December.
    27. Torben Andersen, 2015. "The Danish Flexicurity Labour Market During the Great Recession," De Economist, Springer, vol. 163(4), pages 473-490, December.
    28. 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.
    29. Gueyon Kim & Dohyeon Lee, 2020. "Offshoring and Segregation by Skill: Theory and Evidence," Working Papers 2020-073, Human Capital and Economic Opportunity Working Group.
    30. Fanfani, Bernardo, 2023. "The employment effects of collective wage bargaining," Journal of Public Economics, Elsevier, vol. 227(C).
    31. 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).
    32. Maczulskij, Terhi & Haapanen, Mika & Kauhanen, Antti & Riukula, Krista, 2021. "Dark Half: Decentralized Bargaining and Well-being at Work," ETLA Working Papers 89, The Research Institute of the Finnish Economy.
    33. Erling Barth & Alex Bryson & Harald Dale-Olsen, 2020. "Do Public Subsidies of Union Membership Increase Union Membership Rates?," DoQSS Working Papers 20-14, Quantitative Social Science - UCL Social Research Institute, University College London.
    34. 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).
    35. Yana Gallen, 2018. "Motherhood and the Gender Productivity Gap," Working Papers 2018-091, Human Capital and Economic Opportunity Working Group.
    36. Torben M. Andersen, 2019. "The Danish labor market, 2000–2018," IZA World of Labor, Institute of Labor Economics (IZA), pages 404-404, December.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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).
    42. 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.
    43. Juan Carluccio & Denis Fougère & Erwan Gautier, 2016. "Commerce international, salaires et négociation collective," SciencePo Working papers Main hal-03683916, HAL.
    44. 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).
    45. Kauhanen, Antti & Maczulskij, Terhi & Riukula, Krista, 2020. "Heterogeneous Impacts of the Decentralization of Collective Bargaining," IZA Discussion Papers 13867, Institute of Labor Economics (IZA).
    46. Munch, Jakob Roland & Whitta-Jacobson, Hans-Jørgen & Kreiner, Claus Thustrup, 2013. "Taxation and the Long Run Allocation of Labor: Theory and Danish Evidence," CEPR Discussion Papers 9275, C.E.P.R. Discussion Papers.
    47. 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.
    48. Andréasson, Hannes, 2014. "The effect of decentralized wage bargaining on the structure of wages and firm performance," Ratio Working Papers 241, The Ratio Institute.
    49. Karlson, Nils & Lindberg, Henrik, 2011. "The Decentralization of Wage Bargaining: Four Cases," Ratio Working Papers 178, The Ratio Institute.
    50. 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.
    51. 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].
    52. 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).
    53. 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.
    54. 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.
    55. 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.
    56. 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).
    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.

  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. 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.
    2. 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.
    3. Maté Fodor, 2016. "Essays on Education, Wages and Technology," ULB Institutional Repository 2013/239691, ULB -- Universite Libre de Bruxelles.
    4. 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.
    5. Niebel, Thomas, 2014. "ICT and economic growth: Comparing developing, emerging and developed countries," ZEW Discussion Papers 14-117, ZEW - Leibniz Centre for European Economic Research.
    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. Falk, Martin & Hagsten, Eva, 2015. "E-commerce trends and impacts across Europe," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 357-369.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.

  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. Hong, S-Y. & Linton, O., 2018. "Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff," Cambridge Working Papers in Economics 1877, Faculty of Economics, University of Cambridge.
    2. Conrad, Christian & Mammen, Enno, 2016. "Asymptotics for parametric GARCH-in-Mean models," Journal of Econometrics, Elsevier, vol. 194(2), pages 319-329.
    3. Sander Barendse & Erik Kole & Dick van Dijk, 2023. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 528-568.
    4. 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).
    5. 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.
    6. 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.
    7. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
    8. 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.
    9. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    10. 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.
    11. 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.
    12. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    13. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.

  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. 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.
    2. A. Craig Burnside & Bing Han & David A. Hirshleifer & Tracy Yue Wang, 2010. "Investor Overconfidence and the Forward Premium Puzzle," Working Papers 10-46, Duke University, Department of Economics.
    3. 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.
    4. Geir H. Bjønnes & Carol L. Osler & Dagfinn Rime, 2009. "Asymmetric information in the interbank foreign exchange market," Working Paper 2008/25, Norges Bank.
    5. Maurice J. Roche & Michael J. Moore, 2009. "Solving Exchange Rate Puzzles with neither Sticky Prices nor Trade Costs," Working Papers 001, Ryerson University, Department of Economics.
    6. 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.
    7. 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.
    8. Carol Osler & Xuhang Wang, 2012. "The Microstructure of Currency Markets," Working Papers 49, Brandeis University, Department of Economics and International Business School.
    9. Olaf Posch, 2008. "Explaining output volatility: The case of taxation," CREATES Research Papers 2008-04, Department of Economics and Business Economics, Aarhus University.
    10. Han, Bing & Hirshleifer, David & Wang, Tracy Yue, 2005. "Investor Overconfidence and the Forward Discount Puzzle," Working Paper Series 2005-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    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. Ding, Liang & Ma, Jun, 2013. "Portfolio reallocation and exchange rate dynamics," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3100-3124.
    13. 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.
    14. 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).

  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, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Sucarrat, Genaro & Escribano, Álvaro, 2010. "The power log-GARCH model," UC3M Working papers. Economics we1013, 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, 2011. "Wage Dispersion and Decentralization of Wage Bargaining," CREATES Research Papers 2011-48, Department of Economics and Business Economics, Aarhus University.
    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 & 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Croonenbroeck, Carsten & Stadtmann, Georg, 2015. "Minimizing asymmetric loss in medium-term wind power forecasting," Renewable Energy, Elsevier, vol. 81(C), pages 197-208.
    11. 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.
    12. 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.
    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. 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.
    15. 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. 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. Hope Corman & Dhaval M. Dave & Nancy E. Reichman, 2017. "Evolution of the Infant Health Production Function," Working Papers id:12331, eSocialSciences.
    3. Simona Mateut & Thanaset Chevapatrakul, 2017. "Customer financing, bargaining power and trade credit uptake," Discussion Papers 2017/04, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. 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.
    5. Mahmoud Hassan & Walid Oueslati & Damien Rousselière, 2020. "Environmental taxes, reforms and economic growth: An empirical analysis of panel data," Post-Print hal-02503305, HAL.
    6. 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.
    7. 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.
    8. 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.
    9. Damien Rousselière, 2019. "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," Post-Print hal-02107866, HAL.
    10. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Post-Print hal-01868567, HAL.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
    16. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    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. 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.
    19. 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.
    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. 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.
    2. 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.
    3. 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.
    4. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    5. Walid Chkili, 2015. "Gold–oil prices co-movements and portfolio diversification implications," Economics Bulletin, AccessEcon, vol. 35(4), pages 2832-2845.
    6. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," MPRA Paper 39903, University Library of Munich, Germany.
    7. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.
    8. Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Working Papers 2014-389, Department of Research, Ipag Business School.
    9. 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.
    10. Chkili, Walid, 2015. "Gold-oil prices co-movements and portfolio diversification implications," MPRA Paper 68110, University Library of Munich, Germany.
    11. 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).

  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. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Hope Corman & Dhaval M. Dave & Nancy E. Reichman, 2017. "Evolution of the Infant Health Production Function," Working Papers id:12331, eSocialSciences.
    8. 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.
    9. Tripathi, Abhinava & Dixit, Alok & Vipul,, 2021. "Liquidity commonality in extreme quantiles: Indian evidence," Finance Research Letters, Elsevier, vol. 38(C).
    10. 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.
    11. 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," IZA Discussion Papers 7296, Institute of Labor Economics (IZA).
    12. 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).
    13. Simona Mateut & Thanaset Chevapatrakul, 2017. "Customer financing, bargaining power and trade credit uptake," Discussion Papers 2017/04, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    14. 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).
    15. 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.
    16. Dolado, Juan J & Chen, Liang & Gonzalo, Jesus, 2018. "Quantile Factor Models," CEPR Discussion Papers 12716, C.E.P.R. Discussion Papers.
    17. de-Ramon, Sebastian & Francis, William B & Straughan, Michael, 2020. "The link between bank competition and risk in the United Kingdom: two views for policymaking," Bank of England working papers 885, Bank of England.
    18. Umer Jeelanie Banday & Mustafa Kocoglu, 2023. "Modelling Simultaneous Relationships Between Human Development, Energy, and Environment: Fresh Evidence from Panel Quantile Regression," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1559-1581, June.
    19. Jeffrey E. Harris & Ana I. Balsa & Patricia Triunfo, 2014. "Campaña antitabaco en Uruguay: Impacto en la decisión de dejar de fumar durante el embarazo y en el peso al nacer," Documentos de Trabajo/Working Papers 1401, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    20. 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.
    21. Antonio F. Galvao & Thomas Parker & Zhijie Xiao, 2021. "Bootstrap inference for panel data quantile regression," Papers 2111.03626, arXiv.org.
    22. Alessia Matano & Paolo Naticchioni, 2009. "Wage distribution and the spatial sorting of workers and firms," Working Papers - Dipartimento di Economia 8-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    23. Fukui, Hideki, 2019. "How do slot restrictions affect airfares? New evidence from the US airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 51-71.
    24. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
    25. Kenneth Gillingham & Anders Munk-Nielsen, 2016. "A Tale of Two Tails: Commuting and the Fuel Price Response in Driving," NBER Working Papers 22937, National Bureau of Economic Research, Inc.
    26. Tim Bersak & Lyudmyla Sonchak‐Ardan, 2022. "Prenatal care: Mechanisms and impacts on infant health and health care utilization," Contemporary Economic Policy, Western Economic Association International, vol. 40(1), pages 48-65, January.
    27. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Papers 2208.03632, arXiv.org, revised Apr 2023.
    28. 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.
    29. Nicoletti, Cheti & Best, Nicky, 2012. "Quantile regression with aggregated data," Economics Letters, Elsevier, vol. 117(2), pages 401-404.
    30. 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.
    31. Lautharte, Ildo, 2021. "Babies and Bandidos: Birth outcomes in pacified favelas of Rio de Janeiro," Journal of Health Economics, Elsevier, vol. 77(C).
    32. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile Regression with Panel Data," NBER Working Papers 21034, National Bureau of Economic Research, Inc.
    33. Mary Beth Walker & Erdal Tekin & Sally Wallace, 2009. "Teen Smoking and Birth Outcomes," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 892-907, January.
    34. 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.
    35. Walid Oueslati & Vera Zipperer & Damien Rousselière & Alexandros Dimitropoulos, 2017. "Energy taxes, reforms and income inequality: An empirical cross-country analysis," International Economics, CEPII research center, issue 150, pages 80-95.
    36. Ayllón, Sara & Ferreira-Batista, Natalia N., 2015. "‘Mommy, I miss daddy’. The effect of family structure on children's health in Brazil," Economics & Human Biology, Elsevier, vol. 19(C), pages 75-89.
    37. Olivier Bargain & Prudence Kwenda, 2013. "The Informal Sector Wage Gap: New Evidence using Quantile Estimations on Panel Data," AMSE Working Papers 1360, Aix-Marseille School of Economics, France, revised Jun 2013.
    38. 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.
    39. 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.
    40. 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.
    41. Wolfgang Frimmel & Gerald J. Pruckner, 2014. "Birth Weight And Family Status Revisited: Evidence From Austrian Register Data," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 426-445, April.
    42. 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.
    43. 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).
    44. Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
    45. 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.
    46. 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.
    47. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    48. 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.
    49. 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.
    50. Hospido, Laura & Moral-Benito, Enrique, 2014. "The Public Sector Wage Premium in Spain: Evidence from Longitudinal Administrative Data," IZA Discussion Papers 8315, Institute of Labor Economics (IZA).
    51. Schorr, A. & Lips, M., 2018. "Influence of milk yield on profitability a quantile regression analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277000, International Association of Agricultural Economists.
    52. R. Khandker, Shahidur & Khalily, M. A. Baqui & A. Samad, Hussain, 2015. "Who Benefits Most from Microfinance in Bangladesh?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(4), pages 1-30, December.
    53. 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.
    54. Carter, Michael R. & Tjernström, Emilia & Toledo, Patricia, 2019. "Heterogeneous impact dynamics of a rural business development program in Nicaragua," Journal of Development Economics, Elsevier, vol. 138(C), pages 77-98.
    55. Maricruz Lacalle-Calderon & Manuel Perez-Trujillo & Isabel Neira, 2017. "Fertility and Economic Development: Quantile Regression Evidence on the Inverse J-shaped Pattern," European Journal of Population, Springer;European Association for Population Studies, vol. 33(1), pages 1-31, February.
    56. Miriam Wüst, 2015. "Maternal Employment During Pregnancy and Birth Outcomes: Evidence From Danish Siblings," Health Economics, John Wiley & Sons, Ltd., vol. 24(6), pages 711-725, June.
    57. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    58. Tomohiro Ando & Jushan Bai, 2020. "Quantile Co-Movement in Financial Markets: A Panel Quantile Model With Unobserved Heterogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 266-279, January.
    59. 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.
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    61. Shahidur R. Khandker & Douglas F. Barnes & Hussain A. Samad, 2013. "Welfare Impacts of Rural Electrification: A Panel Data Analysis from Vietnam," Economic Development and Cultural Change, University of Chicago Press, vol. 61(3), pages 659-692.
    62. Xu Chen & Surya T. Tokdar, 2021. "Joint quantile regression for spatial data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(4), pages 826-852, September.
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    64. Broberg, Thomas & Kazukauskas, Andrius, 2014. "Inefficiencies in residential use of energy - A critical overview of literature and energy efficiency policies in EU and Sweden," CERE Working Papers 2014:7, CERE - the Center for Environmental and Resource Economics.
    65. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
    66. Cooke, Edgar F. A., 2012. "Is the impact of AGOA heterogeneous?," MPRA Paper 43277, University Library of Munich, Germany.
    67. 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.
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    88. Kasey S. Buckles, 2012. "Selection and the Marriage Premium for Infant Health," Working Papers 003, University of Notre Dame, Department of Economics, revised Jul 2012.
    89. Antonio F. Galvao & Gabriel Montes-Rojas, 2015. "On Bootstrap Inference for Quantile Regression Panel Data: A Monte Carlo Study," Econometrics, MDPI, vol. 3(3), pages 1-13, September.
    90. Malikov, Emir & Hartarska, Valentina & Mersland, Roy, 2019. "Economies of Diversification in Microfinance: Evidence from Quantile Estimation on Panel Data," MPRA Paper 95935, University Library of Munich, Germany.
    91. Kwak, Sungil, 2011. "The Impact of Taxes on Charitable Giving: Empirical Evidence from the Korean Labor and Income Panel Study," MPRA Paper 36845, University Library of Munich, Germany.
    92. Lijuan Huo & Tae-Hwan Kim & Yunmi Kim, 2013. "Testing for Autocorrelation in Quantile Regression Models," Working papers 2013rwp-54, Yonsei University, Yonsei Economics Research Institute.
    93. Wüst, Miriam, 2010. "The effect of cigarette and alcohol consumption on birth outcomes," Working Papers 10-5, University of Aarhus, Aarhus School of Business, Department of Economics.
    94. Ji Yan, 2015. "The Earlier and the More, the Healthier? The Effects of Prenatal Care Utilization on Maternal Health and Health Behaviors," Working Papers 15-08, Department of Economics, Appalachian State University.
    95. Aziza GARSAA & Nadine LEVRATTO & Luc TESSIER, 2015. "Do Exemptions From Social Security Contributions Affect Job Creation? New Empirical Evidence From French Overseas Regions," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 42, pages 79-104.
    96. Galvao Jr, A. F. & Montes-Rojas, G., 2009. "Instrumental variables quantile regression for panel data with measurement errors," Working Papers 09/06, Department of Economics, City University London.
    97. Daniel Zaga, 2014. "The Impact of Three Mexican Nutritional Programs: The Case of Dif-Puebla," CFD Working Papers 09-2015, Centre for Finance and Development, The Graduate Institute.
    98. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
    99. Emilia Del Bono & John Ermisch & Marco Francesconi, 2012. "Intrafamily Resource Allocations: A Dynamic Structural Model of Birth Weight," Journal of Labor Economics, University of Chicago Press, vol. 30(3), pages 657-706.
    100. Ben-Salha Ousama & Zmami Mourad, 2020. "The impact of private capital flows on economic growth in the MENA region," Economics and Business Review, Sciendo, vol. 6(3), pages 45-67, August.
    101. 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.
    102. 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.
    103. Shrestha, Vinish, 2020. "Maternal education and infant health gradient: New answers to old questions," Economics & Human Biology, Elsevier, vol. 39(C).
    104. Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
    105. Battagliola, Maria Laura & Sørensen, Helle & Tolver, Anders & Staicu, Ana-Maria, 2022. "A bias-adjusted estimator in quantile regression for clustered data," Econometrics and Statistics, Elsevier, vol. 23(C), pages 165-186.
    106. Saavedra, Martin, 2020. "Birth weight and infant health for multiple births," Journal of Health Economics, Elsevier, vol. 69(C).
    107. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    108. Atilla Ahmet UĞUR & Demet ÖZOCAKLI, 2018. "Gıda Güvencesizliğinin Bazı Belirleyicileri (Kantil Regresyon Yöntemi ve Sabit Etki Panel Yönteminin Karşılaştırılması)," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(35).
    109. 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.
    110. 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.
    111. 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.
    112. 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.
    113. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    114. Leah K. Lakdawala & David Simon, 2016. "The Intergenerational Consequences of Tobacco Policy," Working papers 2016-27, University of Connecticut, Department of Economics.
    115. 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.
    116. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    117. Junlong Feng, 2019. "Regularized Quantile Regression with Interactive Fixed Effects," Papers 1911.00166, arXiv.org, revised Mar 2021.
    118. 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.
    119. 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.
    120. 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.
    121. Esra Kose & Siobhan M. O'Keefe & Maria Rosales-Rueda, 2022. "Does the Delivery of Primary Health Care Improve Birth Outcomes? Evidence from the Rollout of Community Health Centers," NBER Working Papers 30047, National Bureau of Economic Research, Inc.
    122. Ricker-Gilbert, Jacob & Jayne, Thomas S., 2012. "Do Fertilizer Subsidies Boost Staple Crop Production and Reduce Poverty Across the Distribution of Smallholders in Africa? Quantile Regression Results from Malawi," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126742, International Association of Agricultural Economists.
    123. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
    124. Leah K. Lakdawala & David Simon, 2017. "The Intergenerational Consequences of Tobacco Policy: A Review of Policy's Influence on Maternal Smoking and Child Health," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 229-274, July.
    125. Kronborg, Hanne & Sievertsen, Hans Henrik & Wüst, Miriam, 2016. "Care around birth, infant and mother health and maternal health investments – Evidence from a nurse strike," Social Science & Medicine, Elsevier, vol. 150(C), pages 201-211.
    126. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    127. Josep Raya Vilchez, 2013. "Destination and Seasonality Valuations: A Quantile Approach," Tourism Economics, , vol. 19(4), pages 835-853, August.
    128. 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.
    129. Ji Yan, 2017. "Healthy Babies: Does Prenatal Care Really Matter?," Working Papers 17-09, Department of Economics, Appalachian State University.
    130. Harris, Jeffrey E. & Balsa, Ana Inés & Triunfo, Patricia, 2015. "Tobacco control campaign in Uruguay: Impact on smoking cessation during pregnancy and birth weight," Journal of Health Economics, Elsevier, vol. 42(C), pages 186-196.
    131. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
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    133. Liu, Guanchun & Zhang, Chengsi, 2020. "Does financial structure matter for economic growth in China," China Economic Review, Elsevier, vol. 61(C).
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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. 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.
    3. 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.
    4. 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.
    5. Derek Bond & Michael J. Harrison & Niall Hession & Edward J. O'Brien, 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Trinity Economics Papers tep2006, Trinity College Dublin, Department of Economics.
    6. 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.
    7. Kourentzes, Nikolaos, 2013. "Intermittent demand forecasts with neural networks," International Journal of Production Economics, Elsevier, vol. 143(1), pages 198-206.
    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. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    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. 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.
    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. 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).

  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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Gawon Yoon, 2010. "Does nonlinearity help resolve the Fisher effect puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(8), pages 823-828.
    9. Derek Bond & Michael J. Harrison & Niall Hession & Edward J. O'Brien, 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Trinity Economics Papers tep2006, Trinity College Dublin, Department of Economics.
    10. Dahl, Christian M. & Hylleberg, Svend, 2004. "Flexible regression models and relative forecast performance," International Journal of Forecasting, Elsevier, vol. 20(2), pages 201-217.
    11. 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 Papers 200923, University of Pretoria, Department of Economics.
    12. 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.
    13. Byeongseon Seo, 2004. "Testing for Nonlinear Adjustment in Smooth Transition Vector Error Correction Models," Econometric Society 2004 Far Eastern Meetings 749, Econometric Society.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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/Revue canadienne d'économique, John Wiley & Sons, vol. 50(3), pages 738-777, August.
    19. 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.
    20. 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.
    21. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    22. 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.
    23. Mr. Gene L. Leon & Serineh Najarian, 2003. "Time-Varying Thresholds: An Application to Purchasing Power Parity," IMF Working Papers 2003/181, International Monetary Fund.
    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. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Mr. Gene L. Leon & Serineh Najarian, 2003. "Asymmetric Adjustment and Nonlinear Dynamics in Real Exchange Rates," IMF Working Papers 2003/159, International Monetary Fund.
    31. Lu, Xun & White, Halbert, 2014. "Robustness checks and robustness tests in applied economics," Journal of Econometrics, Elsevier, vol. 178(P1), pages 194-206.
    32. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    33. 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.
    34. Bond, Derek & Dyson, Kenneth, 2006. "Long memory and non-linearity in Stock Markets," MPRA Paper 252, University Library of Munich, Germany.
    35. Patrick Francois & Huw Lloyd-Ellis, 2004. "Investment Cycles," Macroeconomics 0405005, University Library of Munich, Germany, revised 05 May 2004.
    36. 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.
    37. 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.
    38. 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.
    39. Rebeca Jiménez-Rodríguez, 2015. "Oil price shocks and stock markets: testing for non-linearity," Empirical Economics, Springer, vol. 48(3), pages 1079-1102, May.
    40. 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.
    41. 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.

  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. Ricardo Gonçalves Silva, 2004. "Bayesian Semiparametric Regression for Autoregressive Models with Possible Unit Roots," Econometrics 0405002, University Library of Munich, Germany.
    2. 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.
    3. White, Halbert & Pettenuzzo, Davide, 2014. "Granger causality, exogeneity, cointegration, and economic policy analysis," Journal of Econometrics, Elsevier, vol. 178(P2), pages 316-330.
    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. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    6. 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.

  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. 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.
    4. 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.
    5. 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.
    6. Derek Bond & Michael J. Harrison & Niall Hession & Edward J. O'Brien, 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Trinity Economics Papers tep2006, Trinity College Dublin, Department of Economics.
    7. D H Kim, 2004. "Nonlinearity in the Term Structure," Economics Discussion Paper Series 0401, Economics, The University of Manchester.
    8. Dahl, Christian M. & Hylleberg, Svend, 2004. "Flexible regression models and relative forecast performance," International Journal of Forecasting, Elsevier, vol. 20(2), pages 201-217.
    9. 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.
    10. Huang, Ho-Chuan, 2005. "Diverging evidence of convergence hypothesis," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 233-255, June.
    11. 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.
    12. Dong Heon Kim, 2005. "Nonlinearity in the Term Structure," Economics Discussion Paper Series 0528, Economics, The University of Manchester.
    13. 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.
    14. 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.
    15. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    16. 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.
    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.

  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. 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.
    2. Matti Viren, 2006. "Inflation Expectations and Regime Shifts," Discussion Papers 5, Aboa Centre for Economics.
    3. 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.
    4. Eiji Fuji & Jeannine Bailliu, 2004. "Exchange Rate Pass-Through and the Inflation Environment in Industrialized Countries: An Empirical Investigation," Computing in Economics and Finance 2004 135, Society for Computational Economics.
    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. Ishak-Kasim, Syurkani & Ahmed, Abdullahi D., 2009. "Inflation expectations formation and financial stability in Indonesia," MPRA Paper 27763, University Library of Munich, Germany.
    9. 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.

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