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Kristie M. Engemann

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. Kristie M. Engemann & Michael T. Owyang & Howard J. Wall, 2011. "Where is an oil shock?," Working Papers 2011-016, Federal Reserve Bank of St. Louis.

    Cited by:

    1. David C Broadstock & Rui Wang & Dayong Zhang, 2014. "The direct and indirect effects of oil shocks on energy related stocks," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 146, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Laura Cueppers & Dieter Smeets, 2015. "How Do Oil Price Changes Affect German Stock Returns?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 321-334.
    3. Claudio Morana, 2012. "The Oil price-Macroeconomy Relationship since the Mid- 1980s: A global perspective," Working Papers 2012.28, Fondazione Eni Enrico Mattei.
    4. Maud Korley & Evangelos Giouvris, 2022. "The Impact of Oil Price and Oil Volatility Index (OVX) on the Exchange Rate in Sub-Saharan Africa: Evidence from Oil Importing/Exporting Countries," Economies, MDPI, vol. 10(11), pages 1-29, November.
    5. Alexeev, Michael & Chih, Yao-Yu, 2021. "Energy price shocks and economic growth in the US: A state-level analysis," Energy Economics, Elsevier, vol. 98(C).
    6. Arora, Vipin & Gomis-Porqueras, Pedro & Shi, Shuping, 2013. "The divergence between core and headline inflation: Implications for consumers’ inflation expectations," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 497-504.
    7. Kristie M. Engemann & Michael T. Owyang & Howard J. Wall, 2011. "Where is an oil shock?," Working Papers 2011-016, Federal Reserve Bank of St. Louis.
    8. Nnaemeka Vincent Emodi & Kyung-Jin Boo, 2015. "Sustainable Energy Development in Nigeria: Overcoming Energy Poverty," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 580-597.
    9. Broadstock, David C. & Wang, Rui & Zhang, Dayong, 2014. "Direct and indirect oil shocks and their impacts upon energy related stocks," Economic Systems, Elsevier, vol. 38(3), pages 451-467.
    10. Abdulmohsen Alfalih, Abdullah & Bel Hadj, Tarek, 2021. "Asymmetric effects of foreign direct investment on employment in an oil producing country: Do human capital, institutions and oil rents matter?," Resources Policy, Elsevier, vol. 70(C).
    11. Mohamad B. Karaki, 2018. "Asymmetries In The Responses Of Regional Job Flows To Oil Price Shocks," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1827-1845, July.
    12. Arlan Brucal & Michael J. Roberts, 2018. "Not All Regions Are Alike: Evaluating the Effect of Oil Price Shocks on Local and Aggregate Economies," Working Papers 2018-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    13. Monica Dudian & Mihaela Mosora & Cosmin Mosora & Stefanija Birova, 2017. "Oil Price and Economic Resilience. Romania’s Case," Sustainability, MDPI, vol. 9(2), pages 1-8, February.
    14. Shekar Shetty & Zahid Iqbal & Mansour Alshamali, 2013. "Energy Price Shocks and Economic Activity in Texas Cities," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(4), pages 371-383, December.
    15. Husaini Said & Evangelos Giouvris, 2019. "Oil, the Baltic Dry index, market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 349-416, December.

  2. Kristie M. Engemann & Kevin L. Kliesen & Michael T. Owyang, 2010. "Do oil shocks drive business cycles? some U.S. and international evidence," Working Papers 2010-007, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 201470, University of Pretoria, Department of Economics.
    2. Mohsen Bahmani-Oskooee & Seyed Hesam Ghodsi, 2020. "On the Link between Oil Price and House Prices in the U.S.: Asymmetric Evidence from State Level Data," International Real Estate Review, Global Social Science Institute, vol. 23(1), pages 65-106.
    3. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    4. Cunado, Juncal & Jo, Soojin & Perez de Gracia, Fernando, 2015. "Macroeconomic impacts of oil price shocks in Asian economies," Energy Policy, Elsevier, vol. 86(C), pages 867-879.
    5. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    6. Raheem, Ibrahim & Olabisi, Nafisat, 2019. "What is new? The role of asymmetry and breaks in oil price–output growth volatility nexus," MPRA Paper 105361, University Library of Munich, Germany.
    7. Cunado, Juncal & Perez de Gracia, Fernando, 2014. "Oil price shocks and stock market returns: Evidence for some European countries," Energy Economics, Elsevier, vol. 42(C), pages 365-377.
    8. Luiggi Donayre & Neil A. Wilmot, 2016. "The Asymmetric Effects of Oil Price Shocks on the Canadian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 167-182.
    9. Nermeen Harb & Mamdouh Abdelmoula M. Abdelsalam, 2019. "Effect Of Oil Prices On Stock Markets: Evidence From New Generation Of Star Model," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 466-482, July.
    10. Alexey Mikhaylov, 2019. "Oil and Gas Budget Revenues in Russia after Crisis in 2015," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 375-380.
    11. Trabelsi, Nader, 2017. "Asymmetric tail dependence between oil price shocks and sectors of Saudi Arabia System," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 26-41.
    12. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    13. Hong Thai Le & Marta Disegna, 2018. "Responses of macroeconomy and stock markets to structural oil price shocks: New evidence from Asian oil refinery," BAFES Working Papers BAFES25, Department of Accounting, Finance & Economic, Bournemouth University.
    14. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
    15. James D. Hamilton, 2013. "Oil prices, exhaustible resources and economic growth," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 1, pages 29-63, Edward Elgar Publishing.
    16. Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
    17. Daniel, Betty C. & Hafner, Christian M. & Simar, Léopold & Manner, Hans, 2019. "Asymmetries In Business Cycles And The Role Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1622-1648, June.
    18. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    19. Claudio Morana, 2012. "The Oil price-Macroeconomy Relationship since the Mid- 1980s: A global perspective," Working Papers 2012.28, Fondazione Eni Enrico Mattei.
    20. Bluedorn, John C. & Decressin, Jörg & Terrones, Marco E., 2016. "Do asset price drops foreshadow recessions?," International Journal of Forecasting, Elsevier, vol. 32(2), pages 518-526.
    21. Pönkä, Harri, 2015. "Real oil prices and the international sign predictability of stock returns," MPRA Paper 68330, University Library of Munich, Germany.
    22. James D. Hamilton, 2012. "Oil Prices, Exhaustible Resources, and Economic Growth," NBER Working Papers 17759, National Bureau of Economic Research, Inc.
    23. Knotek, Edward S. & Zaman, Saeed, 2021. "Asymmetric responses of consumer spending to energy prices: A threshold VAR approach," Energy Economics, Elsevier, vol. 95(C).
    24. Alexey Yurievich Mikhaylov, 2018. "Pricing in Oil Market and Using Probit Model for Analysis of Stock Market Effects," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 69-73.
    25. Kristie M. Engemann & Michael T. Owyang & Howard J. Wall, 2011. "Where is an oil shock?," Working Papers 2011-016, Federal Reserve Bank of St. Louis.
    26. Dhaoui, Abderrazak & Saidi, Youssef, 2015. "Oil supply and demand shocks and stock price: Evidence for some OECD countries," MPRA Paper 63556, University Library of Munich, Germany.
    27. Johannes Pfeiffer, 2017. "Fossil Resources and Climate Change – The Green Paradox and Resource Market Power Revisited in General Equilibrium," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 77.
    28. Kevin L. Kliesen & Daniel L. Thornton, 2012. "How good are the government’s deficit and debt projections and should we care?," Review, Federal Reserve Bank of St. Louis, vol. 94(Jan), pages 21-39.
    29. Juncal Cunado & Soojin Jo & Fernando Perez de Gracia, 2015. "Revisiting the Macroeconomic Impact of Oil Shocks in Asian Economies," Staff Working Papers 15-23, Bank of Canada.
    30. Nima Ebrahimi & Craig Pirrong, 2020. "Oil jump risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(8), pages 1282-1311, August.
    31. Dhaoui, Abderrazak & Khraief, Naceur, 2014. "Empirical linkage between oil price and stock market returns and volatility: Evidence from international developed markets," Economics Discussion Papers 2014-12, Kiel Institute for the World Economy (IfW Kiel).
    32. Fornari, Fabio & Lemke, Wolfgang, 2010. "Predicting recession probabilities with financial variables over multiple horizons," Working Paper Series 1255, European Central Bank.
    33. Dhaoui, Abderrazak & Audi, Mohamed & Ouled Ahmed Ben Ali, Raja, 2015. "Revising empirical linkages between direction of Canadian stock price index movement and Oil supply and demand shocks: Artificial neural network and support vector machines approaches," MPRA Paper 66029, University Library of Munich, Germany.
    34. Soma Patra, 2022. "Oil price shocks, firm entry and exit in a heterogeneous firm model," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 349-378, February.
    35. Raheem, Ibrahim D. & Bello, Ajide Kazeem & Agboola, Yusuf H., 2020. "A new insight into oil price-inflation nexus," Resources Policy, Elsevier, vol. 68(C).
    36. Jochen H. F. Güntner & Katharina Linsbauer, 2018. "The Effects of Oil Supply and Demand Shocks on U.S. Consumer Sentiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1617-1644, October.
    37. Kuhanathan Ano Sujithan & Sanvi Avouyi-Dovi & Lyes Koliai, 2013. "Does Monetary Policy Respond to Commodity Price Shocks?," Post-Print hal-01511915, HAL.
    38. Andrea Gatto & Francesco Busato, 2019. "Defining, measuring and ranking energy vulnerability," CREATES Research Papers 2019-01, Department of Economics and Business Economics, Aarhus University.
    39. Omotosho, Babatunde S., 2019. "Business Cycle Fluctuations in Nigeria: Some Insights from an Estimated DSGE Model," MPRA Paper 98351, University Library of Munich, Germany.
    40. Julien Chevallier, 2013. "Price relationships in crude oil futures: new evidence from CFTC disaggregated data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(2), pages 133-170, April.
    41. Orlowski, Lucjan T., 2017. "Volatility of commodity futures prices and market-implied inflation expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 133-141.

  3. Kristie M. Engemann & Howard J. Wall, 2009. "The effects of recessions across demographic groups," Working Papers 2009-052, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Guisinger, Amy Y., 2020. "Gender differences in the volatility of work hours and labor demand," Journal of Macroeconomics, Elsevier, vol. 66(C).
    2. David Cutler & Wei Huang & Adriana Lleras-Muney, 2014. "When Does Education Matter? The Protective Effect of Education for Cohorts Graduating in Bad Times," NBER Working Papers 20156, National Bureau of Economic Research, Inc.
    3. Cynthia Bansak & Mary E. Graham & Allan A. Zebedee, 2012. "Business Cycles and Gender Diversification: An Analysis of Establishment-Level Gender Dissimilarity," American Economic Review, American Economic Association, vol. 102(3), pages 561-565, May.
    4. Julie L. Hotchkiss & Robert E. Moore, 2022. "Some Like it Hot: Assessing Longer-Term Labor Market Benefits from a High-Pressure Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 18(2), pages 193-243, June.
    5. Michael Owyang & Jeremy Piger & Howard Wall, 2011. "Discordant City Employment Cycles," ERSA conference papers ersa11p1525, European Regional Science Association.
    6. Arpaia, Alfonso & Curci, Nicola, 2010. "EU labour market behaviour during the Great Recession," MPRA Paper 22393, University Library of Munich, Germany.
    7. Alica Ida Bonk & Laure Simon, 2022. "From He-Cession to She-Stimulus? The labor market impact of fiscal policy across gender," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 309-334, May.
    8. Christian Dudel & Mikko Myrskylä, 2017. "Working Life Expectancy at Age 50 in the United States and the Impact of the Great Recession," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2101-2123, December.
    9. Kaswengi, Joseph & Diallo, Mbaye Fall, 2015. "Consumer choice of store brands across store formats: A panel data analysis under crisis periods," Journal of Retailing and Consumer Services, Elsevier, vol. 23(C), pages 70-76.
    10. Wall, Howard J., 2011. "The Employment Cycles of Neighboring Cities," MPRA Paper 29410, University Library of Munich, Germany.
    11. Bharadwaj, Prashant & Bietenbeck, Jan & Lundborg, Petter & Rooth, Dan-Olof, 2019. "Birth weight and vulnerability to a macroeconomic crisis," Journal of Health Economics, Elsevier, vol. 66(C), pages 136-144.
    12. Christian Dudel & Mikko Myrskylä, 2016. "Recent trends in US working life expectancy at age 50 by gender, education, and race/ethnicity and the impact of the Great Recession," MPIDR Working Papers WP-2016-006, Max Planck Institute for Demographic Research, Rostock, Germany.
    13. Neil Reid & Michael C. Carroll & Xinyue Ye, 2013. "The Great Recession of 2007-2009," Economic Development Quarterly, , vol. 27(2), pages 87-89, May.
    14. Králiková Andrea & Ryglová Kateřina & Zámečník Silvie, 2022. "Impact of the COVID-19 pandemic on the hotel strategy: Introductory assessment," Czech Journal of Tourism, Sciendo, vol. 11(1-2), pages 1-13, December.
    15. Jeffrey Thompson & Timothy M. Smeeding, 2010. "Recent Trends in the Distribution of Income: Labor, Wealth and More Complete Measures of Well Being," Working Papers wp225, Political Economy Research Institute, University of Massachusetts at Amherst.
    16. Wilkinson, Lindsay R. & Schafer, Markus H. & Wilkinson, Renae, 2020. "How painful is a recession? An assessment of two future-oriented buffering mechanisms," Social Science & Medicine, Elsevier, vol. 255(C).
    17. A.E Kusumastuti & J. A Putritamara & S. Azizah, 2021. "Hybrid Model of MSMEs for Livestock Hype Product Facing Consumer Sudden Shift on Pandemics," Technium Sustainability, Technium Science, vol. 1(2), pages 8-17, July.
    18. Untaru, Elena-Nicoleta & Han, Heesup, 2021. "Protective measures against COVID-19 and the business strategies of the retail enterprises: Differences in gender, age, education, and income among shoppers," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    19. Ayşegül Şahin & Jonathan L. Willis, 2011. "Employment patterns during the recovery: Who are getting the jobs and why?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-34.
    20. Latif, Ehsan, 2014. "The impact of recession on drinking and smoking behaviours in Canada," Economic Modelling, Elsevier, vol. 42(C), pages 43-56.
    21. Paul Niekamp, 2019. "Economic conditions and sleep," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 437-442, March.

  4. Kristie M. Engemann & Michael T. Owyang, 2007. "Whatever happened to the business cycle? a Bayesian analysis of jobless recoveries," Working Papers 2007-013, Federal Reserve Bank of St. Louis.

    Cited by:

    1. R. Jason Faberman, 2008. "Job flows, jobless recoveries, and the Great Moderation," Working Papers 08-11, Federal Reserve Bank of Philadelphia.
    2. Kevin x.d. Huang & Jie Chen & Zhe Li & Jianfei Sun, 2014. "Financial Conditions and Slow Recoveries," Vanderbilt University Department of Economics Working Papers 14-00004, Vanderbilt University Department of Economics.
    3. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.
    4. Fabio Méndez & Jared D. Reber & Jeremy Schwartz, 2016. "A New Approach to the Study of Jobless Recoveries," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 573-589, October.
    5. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    6. Bradley Michael D. & Jansen Dennis W., 2018. "Nonlinear evidence on the existence of jobless recoveries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-19, February.
    7. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2012. "Forecasting UK GDP growth, inflation and interest rates under structural change: a comparison of models with time-varying parameters," Bank of England working papers 450, Bank of England.
    8. Donayre, Luiggi, 2022. "On the behavior of Okun's law across business cycles," Economic Modelling, Elsevier, vol. 112(C).
    9. Amy Y. Guisinger & Laura E. Jackson & Michael T. Owyang, 2022. "Age and Gender Differentials in Unemployment and Hysteresis," Working Papers 2022-015, Federal Reserve Bank of St. Louis.
    10. Compagnucci, Fabiano & Gentili, Andrea & Valentini, Enzo & Gallegati, Mauro, 2021. "Have jobs and wages stopped rising? Productivity and structural change in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 412-430.

Articles

  1. Engemann, Kristie M. & Owyang, Michael T., 2010. "Whatever Happened To The Business Cycle? A Bayesian Analysis Of Jobless Recoveries," Macroeconomic Dynamics, Cambridge University Press, vol. 14(5), pages 709-726, November.
    See citations under working paper version above.
  2. Kristie M. Engemann & Howard J. Wall, 2010. "The effects of recessions across demographic groups," Review, Federal Reserve Bank of St. Louis, vol. 92(Jan), pages 1-26.
    See citations under working paper version above.
  3. Michelle T. Armesto & Kristie M. Engemann & Michael T. Owyang, 2010. "Forecasting with mixed frequencies," Review, Federal Reserve Bank of St. Louis, vol. 92(Nov), pages 521-536.

    Cited by:

    1. Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019. "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers 24/2019, Halle Institute for Economic Research (IWH).
    2. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
    3. Winkelried, Diego, 2012. "Predicting quarterly aggregates with monthly indicators," Working Papers 2012-023, Banco Central de Reserva del Perú.
    4. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    5. P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    6. Harchaoui, Tarek M. & Janssen, Robert V., 2018. "How can big data enhance the timeliness of official statistics?," International Journal of Forecasting, Elsevier, vol. 34(2), pages 225-234.
    7. Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
    8. Yose Rizal Damuri & Prabaning Tyas & Haryo Aswicahyono & Lionel Priyadi & Stella Kusumawardhani & Ega Kurnia Yazid, 2021. "Tracking the Ups and Downs in Indonesia’s Economic Activity During COVID-19 Using Mobility Index: Evidence from Provinces in Java and Bali," Working Papers DP-2021-18, Economic Research Institute for ASEAN and East Asia (ERIA).
    9. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Gustavo Adolfo HERNANDEZ DIAZ & Margarita MARÍN JARAMILLO, 2016. "Pronóstico del Consumo Privado: Usando datos de alta frecuencia para el pronóstico de variables de baja frecuencia," Archivos de Economía 14828, Departamento Nacional de Planeación.
    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. Marie Bessec & Othman Bouabdallah, 2015. "Forecasting GDP over the Business Cycle in a Multi-Frequency and Data-Rich Environment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 360-384, June.
    14. 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.
    15. 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.
    16. Jung, Alexander, 2017. "Forecasting broad money velocity," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 421-432.
    17. Ghysels, Eric & Ball, Ryan & Zhou, Huan, 2014. "Can we Automate Earnings Forecasts and Beat Analysts?," CEPR Discussion Papers 10186, C.E.P.R. Discussion Papers.
    18. Raul Ibarra & Luis M. Gomez-Zamudio, 2017. "Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
    19. Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
    20. Ghysels, Eric & Miller, J. Isaac, 2013. "Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series," CEPR Discussion Papers 9654, C.E.P.R. Discussion Papers.
    21. Kertlly de Medeiros, Rennan & da Nóbrega Besarria, Cássio & Pitta de Jesus, Diego & Phillipe de Albuquerquemello, Vinicius, 2022. "Forecasting oil prices: New approaches," Energy, Elsevier, vol. 238(PC).
    22. Han, Meng & Ding, Lili & Zhao, Xin & Kang, Wanglin, 2019. "Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors," Energy, Elsevier, vol. 171(C), pages 69-76.
    23. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2014. "Industry co-movement and cross-listing: Do home country factors matter?," Japan and the World Economy, Elsevier, vol. 32(C), pages 96-110.
    24. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    25. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    26. Kvedaras, Virmantas & Zemlys, Vaidotas, 2012. "Testing the functional constraints on parameters in regressions with variables of different frequency," Economics Letters, Elsevier, vol. 116(2), pages 250-254.
    27. Guy P. Nason & Ben Powell & Duncan Elliott & Paul A. Smith, 2017. "Should we sample a time series more frequently?: decision support via multirate spectrum estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 353-407, February.
    28. 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.
    29. Heinisch, Katja & Lindner, Axel, 2018. "For how long do IMF forecasts of world economic growth stay up-to-date?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest ar, pages 1-6.
    30. Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
    31. Elena Andreou & Andros Kourtellos, 2015. "The State and the Future of Cyprus Macroeconomic Forecasting," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 9(1), pages 73-90, June.
    32. Ghysels, Eric & Ball, Ryan, 2017. "Automated Earnings Forecasts:- Beat Analysts or Combine and Conquer?," CEPR Discussion Papers 12179, C.E.P.R. Discussion Papers.
    33. Kanas, Angelos & Molyneux, Philip, 2020. "Do measures of systemic risk predict U.S. corporate bond default rates?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    34. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    35. Michal Franta & David Havrlant & Marek Rusnak, 2014. "Forecasting Czech GDP Using Mixed-Frequency Data Models," Working Papers 2014/08, Czech National Bank.
    36. Bhaghoe, S. & Ooft, G. & Franses, Ph.H.B.F., 2019. "Estimates of quarterly GDP growth using MIDAS regressions," Econometric Institute Research Papers EI2019-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    37. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    38. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    39. Guay, Alain & Maurin, Alain, 2015. "Disaggregation methods based on MIDAS regression," Economic Modelling, Elsevier, vol. 50(C), pages 123-129.
    40. Zhang, Jin & Li, Pujiang & Zhao, Guochang, 2018. "Is power generation really the gold measure of the Chinese economy? A conceptual and empirical assessment," Energy Policy, Elsevier, vol. 121(C), pages 211-216.
    41. Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
    42. Franco, Ray John Gabriel & Mapa, Dennis S., 2014. "The Dynamics of Inflation and GDP Growth: A Mixed Frequency Model Approach," MPRA Paper 55858, University Library of Munich, Germany.
    43. Turhan, Ibrahim M. & Sensoy, Ahmet & Hacihasanoglu, Erk, 2015. "Shaping the manufacturing industry performance: MIDAS approach," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 286-290.
    44. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
    45. J. Isaac Miller, 2014. "Simple Robust Tests for the Specification of High-Frequency Predictors of a Low-Frequency Series," Working Papers 1412, Department of Economics, University of Missouri.
    46. Bangwayo-Skeete, Prosper F. & Skeete, Ryan W., 2015. "Can Google data improve the forecasting performance of tourist arrivals? Mixed-data sampling approach," Tourism Management, Elsevier, vol. 46(C), pages 454-464.
    47. Ryan T. Ball & Eric Ghysels, 2018. "Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?," Management Science, INFORMS, vol. 64(10), pages 4936-4952, October.
    48. Stefan Neuwirth, 2017. "Time-varying mixed frequency forecasting: A real-time experiment," KOF Working papers 17-430, KOF Swiss Economic Institute, ETH Zurich.
    49. Neville Francis, 2012. "The Low-Frequency Impact of Daily Monetary Policy Shock," 2012 Meeting Papers 198, Society for Economic Dynamics.
    50. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
    51. Wang, Ruina & Li, Jinfang, 2021. "The influence and predictive powers of mixed-frequency individual stock sentiment on stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    52. Nikolaos Antonakakis & David Gabauer & Rangan Gupta, 2018. "International Monetary Policy Spillovers: Evidence from a TVP-VAR," Working Papers 201806, University of Pretoria, Department of Economics.
    53. Kamini Solanki & Yudhvir Seetharam, 2014. "Is consumer confidence an indicator of JSE performance?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    54. Ghysels, Eric & Qian, Hang, 2019. "Estimating MIDAS regressions via OLS with polynomial parameter profiling," Econometrics and Statistics, Elsevier, vol. 9(C), pages 1-16.
    55. Trujillo-Barrera, Andres & Pennings, Joost M.E., 2013. "Energy and Food Commodity Prices Linkage: An Examination with Mixed-Frequency Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150465, Agricultural and Applied Economics Association.

  4. Kristie M. Engemann & Howard J. Wall, 2009. "A journal ranking for the ambitious economist," Review, Federal Reserve Bank of St. Louis, vol. 91(May), pages 127-140.

    Cited by:

    1. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2011. "An updated ranking of academic journals in economics," Canadian Journal of Economics, Canadian Economics Association, vol. 44(4), pages 1525-1538, November.
    2. Klaus Wohlrabe, 2016. "Taking the Temperature: A Meta-Ranking of Economics Journals," CESifo Working Paper Series 5726, CESifo.
    3. Morris G. Danielson & Jean L. Heck, 2014. "Voting with Their Feet: In Which Journals Do the Most Prolific Finance Researchers Publish?," Financial Management, Financial Management Association International, vol. 43(1), pages 1-27, March.
    4. Yushan Hu & Ben Li, 2017. "The Production Economics of The Economics Production," Boston College Working Papers in Economics 924, Boston College Department of Economics.
    5. Martin Ravallion & Adam Wagstaff, 2011. "On measuring scholarly influence by citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 321-337, July.
    6. Mark J. McCabe & Christopher M. Snyder, 2015. "Does Online Availability Increase Citations? Theory and Evidence from a Panel of Economics and Business Journals," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 144-165, March.
    7. Mikko Packalen & Jay Bhattacharya, 2015. "Neophilia Ranking of Scientific Journals," NBER Working Papers 21579, National Bureau of Economic Research, Inc.
    8. G�nther Fink & Margaret McConnell & Sebastian Vollmer, 2014. "Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(1), pages 44-57, January.
    9. David L. Anderson & John Tressler, 2010. "The Merits of Using Citation-Based Journal Weighting Schemes to Measure Research Performance in Economics: The Case of New Zealand," Working Papers in Economics 10/03, University of Waikato.
    10. Koffi, Marlene, 2021. "Innovative ideas and gender inequality," CLEF Working Paper Series 35, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    11. Kube, Roland & Löschel, Andreas & Mertens, Henrik & Requate, Till, 2018. "Research trends in environmental and resource economics: Insights from four decades of JEEM," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 433-464.
    12. Howard J. Wall, 2009. "Journal rankings in economics: handle with care," Working Papers 2009-014, Federal Reserve Bank of St. Louis.
    13. Li, Ang & Li, Ben, 2021. "Alphabetic norm and research output," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 50-60.
    14. Kosnik, Lea-Rachel, 2015. "What have economists been doing for the last 50 years? A text analysis of published academic research from 1960-2010," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-38.
    15. Leeves, Gareth D. & Poon, Wai Ching, 2015. "Chinese universities economic research output 2000–2010," Journal of Asian Economics, Elsevier, vol. 40(C), pages 1-9.
    16. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.
    17. Winkler, Anne E. & Levin, Sharon & Stephan, Paula & Glänzel, Wolfgang, 2011. "Publishing Trends in Economics across Colleges and Universities, 1991-2007," IZA Discussion Papers 6082, Institute of Labor Economics (IZA).
    18. Libman, A., 2011. "Journals as a Selection Tool in Economics," Journal of the New Economic Association, New Economic Association, issue 12, pages 174-177.

  5. Kristie M. Engemann & Michael T. Owyang & Sarah Zubairy, 2008. "A primer on the empirical identification of government spending shocks," Review, Federal Reserve Bank of St. Louis, vol. 90(Mar), pages 117-132.

    Cited by:

    1. Weonho Yang & Jan Fidrmuc & Sugata Ghosh, 2012. "Macroeconomic Effects of Government Spending Shocks: New Evidence Using Natural Distaster Relief in Korea," CEDI Discussion Paper Series 12-05, Centre for Economic Development and Institutions(CEDI), Brunel University.
    2. Rossi, Barbara & Inoue, Atsushi & Anderson, Emily, 2013. "Heterogeneous Consumers and Fiscal Policy Shocks," CEPR Discussion Papers 9631, C.E.P.R. Discussion Papers.
    3. Hristov, Atanas, 2022. "Credit spread and the transmission of government purchases shocks," Economic Modelling, Elsevier, vol. 107(C).
    4. Michael T. Owyang & Sarah Zubairy, 2009. "Who benefits from increased government spending? a state-level analysis," Working Papers 2009-006, Federal Reserve Bank of St. Louis.
    5. Craig, Steven G. & Hoang, Edward C., 2011. "State government response to income fluctuations: Consumption, insurance, and capital expenditures," Regional Science and Urban Economics, Elsevier, vol. 41(4), pages 343-351, July.
    6. Gerald A. Carlino & Robert P. Inman, 2013. "Macro fiscal policy in economic unions: states as agents," Working Papers 13-40, Federal Reserve Bank of Philadelphia.

  6. Riccardo DiCecio & Kristie M. Engemann & Michael T. Owyang & Christopher H. Wheeler, 2008. "Changing trends in the labor force: a survey," Review, Federal Reserve Bank of St. Louis, vol. 90(Jan), pages 47-62.

    Cited by:

    1. Beghin, John C. & Meade, Birgit Gisela Saager & Rosen, Stacey, 2014. "A Consistent Food Demand Framework for International Food Security Assessment," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197167, International Agricultural Trade Research Consortium.
    2. Lahiri, Kajal & Song, Jae & Wixon, Bernard, 2008. "A model of Social Security Disability Insurance using matched SIPP/Administrative data," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 4-20, July.
    3. Lena Edlund & Cecilia Machado & Maria Sviatschi, 2016. "Bright Minds, Big Rent: Gentrification and the Rising Returns to Skill," Working Papers 16-36, Center for Economic Studies, U.S. Census Bureau.
    4. Willem Van Zandweghe, 2012. "Interpreting the recent decline in labor force participation," Economic Review, Federal Reserve Bank of Kansas City, vol. 97(Q I), pages 5-34.
    5. Levin, Andrew & Erceg, Christopher, 2013. "Labor Force Participation and Monetary Policy in the Wake of the Great Recession," CEPR Discussion Papers 9668, C.E.P.R. Discussion Papers.
    6. Yuanyuan Deng & Hugo Benítez-Silva, 2015. "Medicare Expenditures, Social Security Reform, and the Labor Force Participation of Older Americans," Working Papers wp330, University of Michigan, Michigan Retirement Research Center.
    7. Wang, Tong & Hennessy, David & Park, Seong, 2014. "Veterinary Supply, Gender and Practice Location Choices in the United States, 1990-2010," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170211, Agricultural and Applied Economics Association.
    8. Paraskevi Salamaliki & Ioannis Venetis, 2014. "Smooth transition trends and labor force participation rates in the United States," Empirical Economics, Springer, vol. 46(2), pages 629-652, March.
    9. Ross Richardson & Lia Pacelli & Ambra Poggi & Matteo Richiardi, 2018. "Female Labour Force Projections Using Microsimulation for Six EU Countries," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 5-51.
    10. Kristie M. Engemann & Howard J. Wall, 2009. "The effects of recessions across demographic groups," Working Papers 2009-052, Federal Reserve Bank of St. Louis.
    11. Landajo, Manuel & Presno, María José, 2010. "Nonparametric pseudo-Lagrange multiplier stationarity testing," MPRA Paper 25659, University Library of Munich, Germany.
    12. David J G Slusky, 2017. "Significant Placebo Results in Difference-in-Differences Analysis: The Case of the ACA’s Parental Mandate," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(4), pages 580-603, September.
    13. Silvio Contessi & Li Li, 2013. "From \\"man-cession\\" to \\"he-covery\\": same old, same old," Economic Synopses, Federal Reserve Bank of St. Louis.
    14. Lena Edlund & Cecilia Machado & Maria Micaela Sviatschi, 2019. "Bright Minds, Big Rent: Gentrification and the Rising Returns to Skill," Working Papers 2019-32, Princeton University. Economics Department..
    15. Saridakis, George & Marlow, Susan & Storey, David J., 2014. "Do different factors explain male and female self-employment rates?," Journal of Business Venturing, Elsevier, vol. 29(3), pages 345-362.
    16. Joseph S. Falzone, 2017. "Labor Force Participation and Educational Attainment in the United States," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(3), pages 321-332, August.

  7. Kristie M. Engemann & Michael T. Owyang, 2006. "Social changes lead married women into labor force," The Regional Economist, Federal Reserve Bank of St. Louis, issue Apr, pages 10-11.

    Cited by:

    1. Hiroyuki Kikuchi & Yuko Odagiri & Yumiko Ohya & Yutaka Nakanishi & Teruichi Shimomitsu & Töres Theorell & Shigeru Inoue, 2020. "Association of overtime work hours with various stress responses in 59,021 Japanese workers: Retrospective cross-sectional study," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-22, March.

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