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Cláudia Filipa Duarte
(Claudia Filipa Duarte)

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. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Sara Serra & João Quelhas, 2023. "The inflation process in Portugal: the role of price spillovers," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. José R. Maria & Paulo Júlio, 2023. "Trends and cycles during the COVID-19 pandemic period," Working Papers w202311, Banco de Portugal, Economics and Research Department.
    3. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2021. "Cyclical outputs and structural budget balances," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    4. Cláudia Braz & Maria Manuel Campos, 2021. "Challenges in measuring fiscal effects," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  2. Cláudia Duarte, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Sónia Cabral & Cláudia Duarte, 2016. "Nowcasting Portuguese tourism exports," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. Gurgul Henryk & Suder Marcin, 2016. "Calendar and Seasonal Effects on the Size of Withdrawals from Atms Managed By Euronet," Statistics in Transition New Series, Statistics Poland, vol. 17(4), pages 691-722, December.

  3. Centeno, Mario & Duarte, Claudia & Novo, Alvaro A., 2014. "The Impact of the Minimum Wage on Match Stability," IZA Discussion Papers 8703, Institute of Labor Economics (IZA).

    Cited by:

    1. Fernando Alexandre & Pedro Bação & João Cerejeira & Hélder Costa & Miguel Portela, 2020. "Minimum wage and financially distressed firms: another one bites the dust," NIPE Working Papers 04/2020, NIPE - Universidade do Minho.

  4. Cláudia Duarte, 2014. "Autoregressive augmentation of MIDAS regressions," Working Papers w201401, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.
    2. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    3. Cláudia Duarte, 2016. "A Mixed Frequency Approach to Forecast Private Consumption with ATM/POS Data," Working Papers w201601, Banco de Portugal, Economics and Research Department.
    4. Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021. "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers 2021-03, National Bank of the Republic of North Macedonia.
    5. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    6. Ramadani Gani & Petrovska Magdalena & Bucevska Vesna, 2021. "Evaluation of Mixed Frequency Approaches for Tracking Near-Term Economic Developments in North Macedonia," South East European Journal of Economics and Business, Sciendo, vol. 16(2), pages 43-52, December.
    7. Sónia Cabral & Cláudia Duarte, 2016. "Nowcasting Portuguese tourism exports," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    8. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.

  5. Cláudia Duarte & Sónia Cabral, 2013. "Mind the gap! The relative wages of immigrants in the Portuguese labour market," Working Papers w201305, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Sónia Cabral & Cláudia Duarte, 2014. "Nominal and real wage rigidity: Does nationality matter?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-20, December.
    2. Polyakova, Evgeniya & Smirnykh, Larisa, 2016. "The earning differential between natives and individuals with immigrant background in Russia: The role of ethnicity," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 52-72.
    3. Smirnykh, L. & Polaykova, E., 2020. "Income and the integration of migrants in the Russian labour market," Journal of the New Economic Association, New Economic Association, vol. 47(3), pages 84-104.
    4. Tijan L. Bah, 2018. "Occupation-skill mismatch and selection of immigrants: Evidence from the Portuguese labor market," NOVAFRICA Working Paper Series wp1804, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.

  6. Druant, Martine & Vanhala, Juuso & Ktoris, Michalis & Jarvis, Valerie & Bouchet, Muriel & Budnik, Katarzyna & Childs, Claire & Kuttner, Nicole & Spooner, Magdalena & De Mulder, Jan & Bonthuis, Boele &, 2012. "Euro area labour markets and the crisis," Occasional Paper Series 138, European Central Bank.

    Cited by:

    1. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.
    2. Palmeira, Rafael & Pindado, Julio & Requejo, Ignacio, 2023. "How does employment protection legislation affect labor investment inefficiencies?," Research in International Business and Finance, Elsevier, vol. 66(C).
    3. Verdugo, Gregory, 2015. "Real Wage Cyclicality in the Eurozone Before and During the Great Recession: Evidence from Micro Data," IZA Discussion Papers 9469, Institute of Labor Economics (IZA).
    4. Masuch, Klaus & Anderton, Robert & Setzer, Ralph & Benalal, Nicholai, 2018. "Structural policies in the euro area," Occasional Paper Series 210, European Central Bank.
    5. Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2018. "Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181520, Verein für Socialpolitik / German Economic Association.
    6. Philip Arestis & Jesus Ferreiro & Carmen Gómez, 2020. "Quality of Employment and Employment Protection. Effects of Employment Protection on Temporary and Permanent Employment," Working Papers 0048, ASTRIL - Associazione Studi e Ricerche Interdisciplinari sul Lavoro.
    7. Xavier Jara Tamayo, Holguer & Simon, Agathe, 2021. "The income protection role of an EMU-wide unemployment insurance system: the case of atypical workers," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/21, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.

  7. Cláudia Duarte & Sónia Cabral, 2010. "Employment and wages of immigrants in Portugal," Working Papers w201031, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Cláudia Duarte & Sónia Cabral, 2012. "The wage gap of immigrants in the Portuguese labour market," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. Cláudia Duarte & Sónia Cabral, 2013. "Mind the gap! The relative wages of immigrants in the Portuguese labour market," Working Papers w201305, Banco de Portugal, Economics and Research Department.
    3. Cláudia Duarte & Sónia Cabral, 2011. "Immigrants in the Portuguese labour market," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  8. Julián Messina & Philip Du Caju & Cláudia Filipa Duarte & Niels Lynggård Hansen & Mario Izquierdo, 2010. "The incidence of nominal and real wage rigidity: an individual-based sectoral approach," Working Papers 1022, Banco de España.

    Cited by:

    1. Gnocchi, Stefano & Lagerborg, Andresa & Pappa, Evi, 2015. "Do labor market institutions matter for business cycles?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 299-317.
    2. Philip Du Caju & Catherine Fuss & Ladislav Wintr, 2012. "Downward Wage Regidity for Different Workers and Firms," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 55(1), pages 5-32.
    3. P. Du Caju & C. Fuss & L. Wintr, 2012. "Sectoral differences in downward real wage rigidity: workforce composition, institutions, technology and competition," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 45(1), pages 7-22, March.
    4. Lucifora, Claudio & Origo, Federica, 2025. "Rigid Yet Resilient: Firms' Margins of Adjustment to Demand Shocks in Regulated Labour Markets," IZA Discussion Papers 17670, Institute of Labor Economics (IZA).
    5. Dabusinskas, Aurelijus & Konya, Istvan & Millard, Stephen, 2016. "How does labour market structure affect the response of economies to shocks?," Bank of England working papers 582, Bank of England.
    6. Emmanuel Dhyne & Martine Druant, 2010. "Wages, labor or prices : How do firms react to shocks ?," Working Paper Research 193, National Bank of Belgium.
    7. Bernardo Fanfani, 2019. "The Employment Effects of Collective Bargaining," Working papers 064, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    8. Consolo, Agostino & Koester, Gerrit & Nickel, Christiane & Porqueddu, Mario & Smets, Frank, 2021. "The need for an inflation buffer in the ECB’s price stability objective – the role of nominal rigidities and inflation differentials," Occasional Paper Series 279, European Central Bank.
    9. Herzer, Dierk, 2014. "Unions and income inequality: a heterogenous cointegration and causality analysis," Working Paper 146/2014, Helmut Schmidt University, Hamburg.
    10. Anthony Edo, 2013. "The Impact of Immigration on Native Wages and Employment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00881131, HAL.
    11. Kátay, Gábor, 2011. "Downward wage rigidity in Hungary," Working Paper Series 1372, European Central Bank.
    12. Druant, Martine & Fabiani, Silvia & Kezdi, Gabor & Lamo, Ana & Martins, Fernando & Sabbatini, Roberto, 2012. "Firms' price and wage adjustment in Europe: Survey evidence on nominal stickiness," Labour Economics, Elsevier, vol. 19(5), pages 772-782.
    13. G. de Walque & M. Druant & Ph. Du Caju & C. Fuss, 2010. "Lessons of the Wage Dynamics Network," Economic Review, National Bank of Belgium, issue i, pages 55-75, June.
    14. Rycx, François & Saks, Yves & Tojerow, Ilan, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," IZA Discussion Papers 9043, Institute of Labor Economics (IZA).
    15. Jan Babecký & Clémence Berson & Ludmila Fadejeva & Ana Lamo & Petra Marotzke & Fernando Martins & Pawel Strzelecki, 2019. "Non-base wage components as a source of wage adaptability to shocks: evidence from European firms, 2010–2013," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-18, December.
    16. Bergin, Adele & Kelly, Elish & McGuinness, Seamus, 2012. "Explaining Changes in Earnings and Labour Costs During the Recession," Papers EC9, Economic and Social Research Institute (ESRI).
    17. Fahr Staphen & Abbritti Mirko, 2011. "Macroeconomic implications of downward wage rigidities," wp.comunite 0088, Department of Communication, University of Teramo.
    18. Tillmann, Peter & Wolters, Maik Hendrik, 2012. "The changing dynamics of US inflation persistence: A quantile regression approach," IMFS Working Paper Series 60, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    19. Paulino Font & Mario Izquierdo & Sergio Puente, 2015. "Real wage responsiveness to unemployment in Spain: asymmetries along the business cycle," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-13, December.
    20. Fernando Martins & Jan Babecký, 2018. "Flexible wage components as a source of wage adaptability to shocks:evidence from European firms, 2010–2013," Working Papers w201808, Banco de Portugal, Economics and Research Department.
    21. Andrea Bassanini, 2011. "Aggregate Earnings and Macroeconomic Shocks: The Role of Labour Market Policies and Institutions," OECD Social, Employment and Migration Working Papers 123, OECD Publishing.
    22. Reizer, Balázs, 2022. "Employment and Wage Consequences of Flexible Wage Components," Labour Economics, Elsevier, vol. 78(C).
    23. Fernández-Kranz, Daniel & Rodríguez-Planas, Núria, 2017. "The Perfect Storm: Graduating in a Recession in a Segmented Labor Market," IZA Discussion Papers 10597, Institute of Labor Economics (IZA).
    24. Sónia Cabral & Cláudia Duarte, 2014. "Nominal and real wage rigidity: Does nationality matter?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-20, December.
    25. Anja Deelen & Wouter Verbeek, 2015. "Measuring Downward Nominal and Real Wage Rigidity - Why Methods Matter," CPB Discussion Paper 315, CPB Netherlands Bureau for Economic Policy Analysis.
    26. Antonia López-Villavicencio & Sophie Saglio, 2017. "The Wage Inflation-Unemployment Curve at the Macroeconomic Level," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 55-78, February.
    27. Johannes Matschke & Jun Nie, 2022. "Downward Wage Rigidities and Recession Dynamics in Advanced and Emerging Economies," Research Working Paper RWP 22-10, Federal Reserve Bank of Kansas City.
    28. Fernando Martins & Daniel Dias, 2012. "Identifying the determinants of downward wage rigidity: some methodological considerations and new empirical evidence," Working Papers w201215, Banco de Portugal, Economics and Research Department.
    29. FERNANDO MARTINS & Daniel Dias & Carlos Marques, 2013. "Wage rigidity and employment adjustment at the firm level: Evidence from survey data," EcoMod2013 4944, EcoMod.
    30. Ciżkowicz, Piotr & Radzikowski, Bartosz & Rzońca, Andrzej & Wojciechowski, Wiktor, 2020. "Fiscal devaluation and economic activity in the EU," Economic Modelling, Elsevier, vol. 88(C), pages 59-81.
    31. Cem Özgüzel, 2021. "The Cushioning Effect of Immigrant Mobility," CESifo Working Paper Series 9268, CESifo.
    32. Philip Du Caju & Theodora Kosma & Martina Lawless & Julian Messina & Tairi Room, 2014. "Why firms avoid cutting wages: survey evidence from European firms," Working Papers 173, Bank of Greece.
    33. Catherine Fuss & Ladislav Wintr, 2012. "Rigid Wages and Flexible Employment ?Contrasting Responses to Firm-Level and Sector-Level Productivity Developments," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 55(3), pages 241-268.
    34. Stefano Fasani, 2021. "On the Long-run Unemployment, Inflation, and Volatility," Working Papers 924, Queen Mary University of London, School of Economics and Finance.
    35. Stefano, Fasani, 2016. "Long-run Unemployment and Macroeconomic Volatility," Working Papers 352, University of Milano-Bicocca, Department of Economics, revised 18 Oct 2016.
    36. Cem Özgüzel, 2020. "The Cushioning Effect of Immigrant Mobility: Evidence from the Great Recession in Spain," Working Papers halshs-03000365, HAL.
    37. Fanfani, Bernardo, 2023. "The employment effects of collective wage bargaining," Journal of Public Economics, Elsevier, vol. 227(C).
    38. Marcus Cobb & Luis Opazo, 2008. "Microeconomic Evidence of Nominal Wage Rigidity in Chile," Working Papers Central Bank of Chile 496, Central Bank of Chile.
    39. Lünnemann, Patrick & Wintr, Ladislav, 2010. "Downward wage rigidity and automatic wage indexation: evidence from monthly micro wage data," Working Paper Series 1269, European Central Bank.
    40. Kerndler, Martin, 2019. "Size and persistence matters: Wage and employment insurance at the micro level," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203493, Verein für Socialpolitik / German Economic Association.
    41. Balázs Reizer, 2015. "Do Firms Pay Bonuses to Protect Jobs?," CEU Working Papers 2015_6, Department of Economics, Central European University.
    42. Ramadani, Gani & Naumovski, Nikola, 2014. "Wage and Price Setting in Macedonia: Evidence from Survey Data," MPRA Paper 70171, University Library of Munich, Germany, revised Nov 2015.
    43. Fernando Martins & Daniel Dias, 2012. "Labour cost-cutting strategies microeconomic evidence from survey data," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    44. Balazs Reizer, 2016. "Do Firms Pay Bonuses to Protect Jobs?," CERS-IE WORKING PAPERS 1612, Institute of Economics, Centre for Economic and Regional Studies.
    45. Jan Babecky & Kamil Dybczak, 2012. "Real Wage Flexibility in the European Union: New Evidence from the Labour Cost Data," Working Papers 2012/01, Czech National Bank, Research and Statistics Department.
    46. Fernando Martins, 2013. "Survey evidence on price and wage rigidities in Portugal," Working Papers w201312, Banco de Portugal, Economics and Research Department.
    47. Edoardo Gaffeo & Ivan Petrella & Damjan Pfajfar & Emiliano Santoro, 2012. "Loss Aversion and the Asymmetric Transmission of Monetary Policy," Discussion Papers 12-21, University of Copenhagen. Department of Economics.
    48. Steinar Holden & Fredrik Wulfsberg, 2014. "Wage Rigidity, Inflation, and Institutions," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 539-569, April.
    49. Babecký, Jan & Du Caju, Philip & Kosma, Theodora & Lawless, Martina & Messina, Julián & Rõõm, Tairi, 2012. "How do European firms adjust their labour costs when nominal wages are rigid?," Labour Economics, Elsevier, vol. 19(5), pages 792-801.
    50. Daniel Dias & Carlos Marques & Fernando Martins, 2015. "A replication note on downward nominal and real wage rigidity: survey evidence from European firms," Empirical Economics, Springer, vol. 49(3), pages 1143-1152, November.
    51. Fernando Martins & Daniel Dias, 2013. "The determinants of downward wage rigidity: Some methodological considerations and new empirical evidence," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    52. Ana María Iregui & Ligia Alba Melo & María Teresa Ramírez, 2010. "Incrementos y rigideces de los salarios en Colombia: Un estudio a partir de una encuesta," Revista de Economía del Rosario, Universidad del Rosario, November.
    53. Cem Ozguzel, 2019. "Essays on migration and productivity [Essais sur les migrations et la productivité]," PSE-Ecole d'économie de Paris (Postprint) tel-03381203, HAL.
    54. Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), 2013. "Dinámica inflacionaria, persistencia y formación de precios y salarios," Investigación Conjunta-Joint Research, Centro de Estudios Monetarios Latinoamericanos, CEMLA, edition 1, volume 1, number 2, December.
    55. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2023. "Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy," Cahiers de recherche / Working Papers 2302, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
    56. Anthony Edo, 2016. "How do rigid labor markets absorb immigration? Evidence from France," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-20, December.
    57. Templ Matthias, 2015. "Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey," Journal of Official Statistics, Sciendo, vol. 31(4), pages 737-761, December.
    58. Fernando Martins, 2015. "What Survey Data Reveal about Price and Wage Rigidity in Portugal," LABOUR, CEIS, vol. 29(3), pages 291-309, September.
    59. Shen, Wenyi & Yang, Shu-Chun S., 2018. "Downward nominal wage rigidity and state-dependent government spending multipliers," Journal of Monetary Economics, Elsevier, vol. 98(C), pages 11-26.

  9. Cláudia Duarte & Fátima Cardoso, 2009. "Back to basics: Data revisions," Working Papers w200926, Banco de Portugal, Economics and Research Department.

    Cited by:

  10. António Rua & Cláudia Duarte & Francisco Craveiro Dias, 2008. "Inflation expectations in the euro area: Are consumers rational?," Working Papers w200823, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Konstantin Makrelov & Channing Arndt & Rob Davies & Laurence Harris, 2018. "Stock-and-flow-consistent macroeconomic model for South Africa," WIDER Working Paper Series wp-2018-7, World Institute for Development Economic Research (UNU-WIDER).
    2. António Rua & Cláudia Duarte & Francisco Craveiro Dias, 2009. "Inflation Perceptions and Expectations in the Euro Area and Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    3. Makrelov, Konstantin & Arndt, Channing & Davies, Rob & Harris, Laurence, 2020. "Balance sheet changes and the impact of financial sector risk-taking on fiscal multipliers," Economic Modelling, Elsevier, vol. 87(C), pages 322-343.
    4. Péter Gábriel, 2010. "Household inflation expectations and inflation dynamics," MNB Working Papers 2010/12, Magyar Nemzeti Bank (Central Bank of Hungary).
    5. Puah, Chin-Hong & Wong, Shirly Siew-Ling & Habibullah, Muzafar Shah, 2012. "Rationality of business operational forecasts: evidence from Malaysian distributive trade sector," MPRA Paper 37599, University Library of Munich, Germany.
    6. Piotr Białowolski, 2016. "The influence of negative response style on survey-based household inflation expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 509-528, March.
    7. Magdalena Szyszko, 2017. "Central Banks Inflation Forecast and Expectations. A Comparative Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(3), pages 286-299.
    8. Martina Vránková, 2012. "Inflation Targeting and Behavioural Economics: Introduction," Proceedings of FIKUSZ '12, in: Pál Michelberger (ed.),Proceedings of FIKUSZ '12, pages 91-100, Óbuda University, Keleti Faculty of Business and Management.
    9. Chin-Hong Puah & Shirly Siew-Ling Wong & Venus Khim-Sen Liew, 2013. "Testing rational expectations hypothesis in the manufacturing sector in Malaysia," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(2), pages 303-316, April.
    10. Ornela SHALARI & Fejzi KOLANECI, 2014. "Statistical analysis of the inflation in the case of Albania," EuroEconomica, Danubius University of Galati, issue 2(33), pages 67-77, November.
    11. Wong, Shirly Siew-Ling & Puah, Chin-Hong & Shazali, Abu Mansor, 2011. "Survey Evidence on the Rationality of Business Expectations: Implications from the Malaysian Agricultural Sector," MPRA Paper 36661, University Library of Munich, Germany.
    12. João Nuno Quelhas, 2024. "Inflation expectations and household choices: the role of financial knowledge," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    13. Peter, Eckley, 2015. "(Non)rationality of consumer inflation perceptions," MPRA Paper 77082, University Library of Munich, Germany.
    14. Carin van der Cruijsen & Anna Samarina, 2021. "Trust in the ECB in turbulent times," Working Papers 722, DNB.
    15. Sandra Gomes & Nuno Monteiro & Pedro Pires Ribeiro, 2024. "Euro area inflation expectations: A focus on consumers’ expectations," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    16. Gabriele Galati & Peter Heemeijer & Richhild Moessner, 2011. "How do inflation expectations form? New insights from a high-frequency survey," BIS Working Papers 349, Bank for International Settlements.

  11. António Rua & Cláudia Duarte & Francisco Craveiro Dias, 2007. "Inflation (mis)perceptions in the euro area," Working Papers w200715, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Bernd Hayo & Florian Neumeier, 2018. "Households’ Inflation Perceptions and Expectations: Survey Evidence from New Zealand," ifo Working Paper Series 255, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Tomasz Lyziak, 2010. "Measuring consumer inflation expectations in Europe and examining their forward-lookingness," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 155-201, Bank for International Settlements.
    3. Sarah M. Lein & Thomas Maag, 2008. "The Formation of Inflation Perceptions - Some Empirical Facts for European Countries," KOF Working papers 08-204, KOF Swiss Economic Institute, ETH Zurich.
    4. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    5. Rosaria Simone & Marcella Corduas & Domenico Piccolo, 2023. "Dynamic modelling of price expectations and judgments," METRON, Springer;Sapienza Università di Roma, vol. 81(3), pages 323-342, December.
    6. Ewa Stanisławska, 2019. "Consumers’ Perception of Inflation in Inflationary and Deflationary Environment," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 41-71, April.
    7. Arnold, Ivo J.M., 2024. "The effect of fragmentation risk on monetary conditions in the euro area," Journal of International Money and Finance, Elsevier, vol. 146(C).
    8. Lyziak, Tomasz, 2011. "Non-positive scaling factor in probability quantification methods: deriving consumer inflation perceptions and expectations in the whole euro area and Ireland," MPRA Paper 28900, University Library of Munich, Germany.
    9. Pooja Kapoor & Sujata Kar, 2022. "A Critical Evaluation of the Consumer Confidence Survey from India," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 172-198.
    10. Arnold, Ivo J.M. & Soederhuizen, Beau, 2016. "Internal or external devaluation? What does the EC Consumer Survey tell us about macroeconomic adjustment in the Euro area?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 88-103.

  12. António Rua & Cláudia Duarte, 2005. "Forecasting Inflation Through a Bottom-Up Approach: The Portuguese Case," Working Papers w200502, Banco de Portugal, Economics and Research Department.

    Cited by:

    1. Barakchian , Seyed Mahdi & Bayat , Saeed & Karami , Hooman, 2013. "Common Factors of CPI Sub-aggregates and Forecast of Inflation," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 1-17, October.
    2. Catherine Bruno & Olivier de Bandt & Alexis Flageollet & Michaux, E., 2003. "Forecasting Inflation using Economic Indicators: the Case of France," Working papers 101, Banque de France.

Articles

  1. Duarte, Cláudia & Maria, José R. & Sazedj, Sharmin, 2020. "Trends and cycles under changing economic conditions," Economic Modelling, Elsevier, vol. 92(C), pages 126-146.
    See citations under working paper version above.
  2. Duarte, Cláudia & Rodrigues, Paulo M.M. & Rua, António, 2017. "A mixed frequency approach to the forecasting of private consumption with ATM/POS data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 61-75.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
    3. Galbraith, John W. & Tkacz, Greg, 2018. "Nowcasting with payments system data," International Journal of Forecasting, Elsevier, vol. 34(2), pages 366-376.
    4. Hassani, Hossein & Rua, António & Silva, Emmanuel Sirimal & Thomakos, Dimitrios, 2019. "Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1263-1272.
    5. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    6. Lin, Boqiang & Wang, You, 2025. "Climate change and China's food security," Energy, Elsevier, vol. 318(C).
    7. Sónia Cabral & Cristina Manteu & Sara Serra & Cátia Silva, 2021. "Consumption expenditure during the COVID-19 pandemic: an analysis based on Portuguese card transaction data," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    8. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    9. Carlomagno, Guillermo & Eterovic, Nicolás & Hernández-Román, Luis G., 2024. "Disentangling demand and supply inflation shocks from electronic payments data," Economic Modelling, Elsevier, vol. 141(C).
    10. Dean Croushore & Stephanie M. Wilshusen, 2020. "Forecasting Consumption Spending Using Credit Bureau Data," Working Papers 20-22, Federal Reserve Bank of Philadelphia.
    11. Valadkhani, Abbas & Smyth, Russell, 2017. "How do daily changes in oil prices affect US monthly industrial output?," Energy Economics, Elsevier, vol. 67(C), pages 83-90.
    12. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    13. Bonino-Gayoso, Nicolás & García-Hiernaux, Alfredo, 2019. "TF-MIDAS: a new mixed-frequency model to forecast macroeconomic variables," MPRA Paper 93366, University Library of Munich, Germany.
    14. Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
    15. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    16. Anete Brinke & Ludmila Fadejeva & Boriss Siliverstovs & Kārlis Vilerts, 2023. "Assessing the informational content of card transactions for nowcasting retail trade: Evidence for Latvia," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 566-577, April.
    17. Guillermo Carlomagno & Nicolas Eterovic & L. G. Hernández-Román, 2023. "Disentangling Demand and Supply Inflation Shocks from Chilean Electronic Payment Data," Working Papers Central Bank of Chile 986, Central Bank of Chile.
    18. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
    19. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    20. Ludmila Fadejeva & Boriss Siliverstovs & Karlis Vilerts & Anete Brinke, 2022. "Consumer Spending in the Covid-19 Pandemic: Evidence from Card Transactions in Latvia," Discussion Papers 2022/01, Latvijas Banka.
    21. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
    22. James Chapman & Ajit Desai, . "Using payments data to nowcast macroeconomic variables during the onset of Covid-19," Journal of Financial Market Infrastructures, Journal of Financial Market Infrastructures.
    23. García, Juan R. & Pacce, Matías & Rodrigo, Tomasa & Ruiz de Aguirre, Pep & Ulloa, Camilo A., 2021. "Measuring and forecasting retail trade in real time using card transactional data," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1235-1246.
    24. Timo Wollmershäuser & Stefan Ederer & Maximilian Fell & Friederike Fourné & Max Lay & Robert Lehmann & Sebastian Link & Sascha Möhrle & Ann-Christin Rathje & Radek Šauer & Moritz Schasching & Marcus S, 2023. "ifo Konjunkturprognose Sommer 2023: Inflation flaut langsam ab – aber Konjunktur lahmt noch," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 76(Sonderaus), pages 01-53, June.
    25. Diego Bodas & Juan R. García López & Tomasa Rodrigo López & Pep Ruiz de Aguirre & Camilo A. Ulloa & Juan Murillo Arias & Juan de Dios Romero Palop & Heribert Valero Lapaz & Matías J. Pacce, 2019. "Measuring retail trade using card transactional data," Working Papers 1921, Banco de España.
    26. Andrianady, Josué R. & Rajaonarison, Njakanasandratra R. & Razanajatovo, Yves H., 2023. "Estimating Madagascar economic growth using the Mixed Data Sampling (MIDAS) approach," MPRA Paper 118267, University Library of Munich, Germany.
    27. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
    28. Qifa Xu & Zezhou Wang & Cuixia Jiang & Yezheng Liu, 2023. "Deep learning on mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2099-2120, December.
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    31. Maghyereh Aktham & Sweidan Osama & Awartani Basel, 2020. "Asymmetric Responses of Economic Growth to Daily Oil Price Changes: New Global Evidence from Mixed-data Sampling Approach," Review of Economics, De Gruyter, vol. 71(2), pages 81-99, August.
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    34. Mahmut Gunay, 2020. "Nowcasting Turkish GDP with MIDAS: Role of Functional Form of the Lag Polynomial," Working Papers 2002, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.

  3. Sónia Cabral & Cláudia Duarte, 2016. "Lost in translation? The relative wages of immigrants in the Portuguese labour market," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 27-47, January.

    Cited by:

    1. Pedro S. Martins, Matloob Piracha and José Varejão, 2013. "Do Immigrants Displace Native Workers? Evidence from Matched Panel Data," Working Papers 44, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    2. Andrey Tibajev, 2023. "The Economic Return to Labour Market Experience of Immigrants in Sweden," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 170(1), pages 5-23, November.

  4. Sónia Cabral & Cláudia Duarte, 2014. "Nominal and real wage rigidity: Does nationality matter?," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-20, December.

    Cited by:

    1. Pedro S. Martins, Matloob Piracha and José Varejão, 2013. "Do Immigrants Displace Native Workers? Evidence from Matched Panel Data," Working Papers 44, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.

  5. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation (mis)perceptions in the euro area," Empirical Economics, Springer, vol. 39(2), pages 353-369, October.
    See citations under working paper version above.
  6. Julián Messina & Cláudia Filipa Duarte & Mario Izquierdo & Philip Du Caju & Niels Lynggård Hansen, 2010. "The Incidence of Nominal and Real Wage Rigidity: An Individual-Based Sectoral Approach," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 487-496, 04-05.
    See citations under working paper version above.
  7. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    See citations under working paper version above.
  8. Duarte, Claudia & Rua, Antonio, 2007. "Forecasting inflation through a bottom-up approach: How bottom is bottom?," Economic Modelling, Elsevier, vol. 24(6), pages 941-953, November.

    Cited by:

    1. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    2. Colin Bermingham & Antonello D’Agostino, 2014. "Understanding and forecasting aggregate and disaggregate price dynamics," Empirical Economics, Springer, vol. 46(2), pages 765-788, March.
    3. Carlos Barros & Luis Gil-Alana, 2012. "Inflation forecasting in Angola: a fractional approach," CEsA Working Papers 103, CEsA - Centre for African and Development Studies.
    4. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-44, February.
    5. Thiago Carlomagno Carlo & Emerson Fernandes Marçal, 2016. "Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon," Applied Economics, Taylor & Francis Journals, vol. 48(50), pages 4846-4860, October.
    6. Capistrán, Carlos & Constandse, Christian & Ramos-Francia, Manuel, 2010. "Multi-horizon inflation forecasts using disaggregated data," Economic Modelling, Elsevier, vol. 27(3), pages 666-677, May.
    7. D'Elia, Enrico, 2010. "Predictions vs preliminary sample estimates," MPRA Paper 36070, University Library of Munich, Germany.
    8. Paulo Esteves, 2011. "Direct vs bottom-up approach when forecasting GDP: reconciling literature results with institutional practice," Working Papers w201129, Banco de Portugal, Economics and Research Department.
    9. Karol Szafranek & Aleksandra Hałka, 2019. "Determinants of Low Inflation in an Emerging, Small Open Economy through the Lens of Aggregated and Disaggregated Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 3094-3111, October.
    10. Van Nieuwenhuyze, Christophe & Benk, Szilard & Rünstler, Gerhard & Cristadoro, Riccardo & Den Reijer, Ard & Jakaitiene, Audrone & Jelonek, Piotr & Rua, António & Ruth, Karsten & Barhoumi, Karim, 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Occasional Paper Series 84, European Central Bank.
    11. Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
    12. Stavros Degiannakis, 2023. "The D-model for GDP nowcasting," Working Papers 317, Bank of Greece.
    13. Carrera, Cesar & Ledesma, Alan, 2015. "Proyección de la inflación agregada con modelos de vectores autorregresivos bayesianos," Working Papers 2015-003, Banco Central de Reserva del Perú.
    14. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2009. "Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 595-611.
    15. Espasa, Antoni & Mayo, Iván, 2012. "Forecasting aggregates and disaggregates with common features," DES - Working Papers. Statistics and Econometrics. WS ws110805, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Cesar Carrera & Alan Ledesma, 2015. "Aggregate Inflation Forecast with Bayesian Vector Autoregressive Models," Working Papers 50, Peruvian Economic Association.
    17. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    18. Andrejs Bessonovs & Olegs Krasnopjorovs, 2020. "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers 2020/01, Latvijas Banka.
    19. Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
    20. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    21. Claire C l rier, 2009. "Forecasting inflation in France," Working papers 262, Banque de France.
    22. Chronis, George A., 2016. "Modelling the extreme variability of the US Consumer Price Index inflation with a stable non-symmetric distribution," Economic Modelling, Elsevier, vol. 59(C), pages 271-277.
    23. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    24. Rodion Latypov & Elena Akhmedova & Egor Postolit & Marina Mikitchuk, 2024. "Bottom-up Inflation Forecasting Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 23-44, September.
    25. Vaughan Daniel, 2013. "An Analysis of the Process of Disinflationary Structural Change: The Case of Mexico," Working Papers 2013-12, Banco de México.
    26. Francisco Craveiro Dias & Maximiano Pinheiro & António Rua, 2016. "A bottom-up approach for forecasting GDP in a data rich environment," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    27. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.

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