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Kurt Brännäs
(Kurt Brannas)

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. Machava, Agostinho & Brännäs, Kurt, 2015. "Mozambican Monetary Policy and the Yield Curve of Treasury Bills - An Empirical Study," Umeå Economic Studies 918, Umeå University, Department of Economics.

    Cited by:

    1. Machava, Agostinho, 2017. "The Macroeconomic Determinants of the Pass-Through from the Market Interest Rate to the Bank Lending Rate in Mozambique," Umeå Economic Studies 954, Umeå University, Department of Economics.

  2. Brännäs, Kurt & G De Gooijer, Jan & Lönnbark, Carl & Soultanaeva, Albina, 2007. "Simultaneity and Asymmetry of Returns and Volatilities in the Emerging Baltic State Stock Exchanges," Umeå Economic Studies 725, Umeå University, Department of Economics.

    Cited by:

    1. Hellström, Jörgen & Soultanaeva, Albina, 2010. "The Impact of Stock Market Jumps on Time-Varying Return Correlations: Empirical Evidence from the Baltic Countries," Umeå Economic Studies 816, Umeå University, Department of Economics.
    2. Luis A. Gil-Alana & Rangan Gupta & Olanrewaju I. Shittu & OlaOluwa S. Yaya, 2016. "Market Efficiency of Baltic Stock Markets: A Fractional Integration Approach," Working Papers 201617, University of Pretoria, Department of Economics.
    3. Humavindu, Michael N, 2008. "Essays on the Namibian Economy," Umeå Economic Studies 745, Umeå University, Department of Economics.
    4. Soultanaeva, Albina, 2008. "Impact of Political News on the Baltic State Stock Markets," Umeå Economic Studies 735, Umeå University, Department of Economics.

  3. Brännäs, Kurt & Quoreshi, Shahiduzzaman, 2004. "Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks," Umeå Economic Studies 637, Umeå University, Department of Economics.

    Cited by:

    1. Yang, Kai & Yu, Xinyang & Zhang, Qingqing & Dong, Xiaogang, 2022. "On MCMC sampling in self-exciting integer-valued threshold time series models," Computational Statistics & Data Analysis, Elsevier, vol. 169(C).
    2. Kai Yang & Han Li & Dehui Wang & Chenhui Zhang, 2021. "Random coefficients integer-valued threshold autoregressive processes driven by logistic regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(4), pages 533-557, December.
    3. Mohammadipour, Maryam & Boylan, John E., 2012. "Forecast horizon aggregation in integer autoregressive moving average (INARMA) models," Omega, Elsevier, vol. 40(6), pages 703-712.
    4. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Naushad Mamode Khan, 2019. "Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data—Under Conditional Heteroskedasticity Framework," JRFM, MDPI, vol. 12(2), pages 1-13, April.
    5. Harry Joe, 2019. "Likelihood Inference for Generalized Integer Autoregressive Time Series Models," Econometrics, MDPI, vol. 7(4), pages 1-13, October.
    6. Quoreshi, Shahiduzzaman, 2006. "Time Series Modelling Of High Frequency Stock Transaction Data," Umeå Economic Studies 675, Umeå University, Department of Economics.
    7. Quoreshi, A.M.M. Shahiduzzaman, 2014. "Bivariate Integer-Valued Long Memory Model for High Frequency Financial Count Data," Working Papers 2014/03, Blekinge Institute of Technology, Department of Industrial Economics.
    8. Quoreshi, Shahiduzzaman, 2006. "LongMemory, Count Data, Time Series Modelling for Financial Application," Umeå Economic Studies 673, Umeå University, Department of Economics.
    9. Quoreshi, A.M.M. Shahiduzzaman, 2008. "A vector integer-valued moving average model for high frequency financial count data," Economics Letters, Elsevier, vol. 101(3), pages 258-261, December.
    10. Khan Naushad Mamode & Sunecher Yuvraj & Jowaheer Vandna, 2017. "Analyzing the Full BINMA Time Series Process Using a Robust GQL Approach," Journal of Time Series Econometrics, De Gruyter, vol. 9(2), pages 1-12, July.
    11. Christian H. Weiß & Martin H.-J. M. Feld & Naushad Mamode Khan & Yuvraj Sunecher, 2019. "INARMA Modeling of Count Time Series," Stats, MDPI, vol. 2(2), pages 1-37, June.
    12. Boris Aleksandrov & Christian H. Weiß, 2020. "Parameter estimation and diagnostic tests for INMA(1) processes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 196-232, March.
    13. Annika Homburg & Christian H. Weiß & Gabriel Frahm & Layth C. Alwan & Rainer Göb, 2021. "Analysis and Forecasting of Risk in Count Processes," JRFM, MDPI, vol. 14(4), pages 1-25, April.
    14. Christian Weiß & Hee-Young Kim, 2013. "Parameter estimation for binomial AR(1) models with applications in finance and industry," Statistical Papers, Springer, vol. 54(3), pages 563-590, August.
    15. Brännäs, Kurt & Lönnbark, Carl, 2006. "Effects of Explanatory Variables in Count Data Moving Average Models," Umeå Economic Studies 679, Umeå University, Department of Economics.
    16. Scotto, Manuel G. & Weiß, Christian H. & Silva, Maria Eduarda & Pereira, Isabel, 2014. "Bivariate binomial autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 125(C), pages 233-251.
    17. Kai Yang & Yiwei Zhao & Han Li & Dehui Wang, 2023. "On bivariate threshold Poisson integer-valued autoregressive processes," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(8), pages 931-963, November.

  4. Brännäs, Kurt & Simonsen, Ola, 2003. "Discretized Time and Conditional Duration Modelling for Stock Transaction Data," Umeå Economic Studies 610, Umeå University, Department of Economics.

    Cited by:

    1. Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," Umeå Economic Studies 657, Umeå University, Department of Economics.
    2. Brännäs, Kurt & Quoreshi, Shahiduzzaman, 2004. "Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks," Umeå Economic Studies 637, Umeå University, Department of Economics.

  5. Brännäs, Kurt & Quoreshi, Shahiduzzaman & Simonsen, Ola, 2002. "Extreme-Value Characteristics in Daily Time Series of Swedish Stock Returns," Umeå Economic Studies 597, Umeå University, Department of Economics.

    Cited by:

    1. Söderberg, Jonas, 2008. "Test of the Gaussian Copula on the Swedish Stock Market," CAFO Working Papers 2009:9, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.

  6. Brännäs, Kurt & Nordström, Jonas, 2002. "Tourist Accommodation Effects of Festivals," Umeå Economic Studies 580, Umeå University, Department of Economics.

    Cited by:

    1. Getz, Donald & Page, Stephen J., 2016. "Progress and prospects for event tourism research," Tourism Management, Elsevier, vol. 52(C), pages 593-631.
    2. Edith Onowe Odia & Barnabas Aigbojie Agbonifoh, 2017. "Determinants Of The Perceived Image Of Nigerian Tourism Industry," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 2(2), pages 16-26, September.
    3. Han Li & Zijian Liu & Kai Yang & Xiaogang Dong & Wenshan Wang, 2024. "A pth-order random coefficients mixed binomial autoregressive process with explanatory variables," Computational Statistics, Springer, vol. 39(5), pages 2581-2604, July.
    4. Zhen Su & Kun Xian & Dandan Lu & Wenhui Wang & Yinghong Zheng & Tanaporn Khotphat, 2023. "Rural Tourism Households Adapting to Seasonality: An Exploratory Sequential Mixed-Methods Study," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    5. Gustavo Neves Lima & Ricardo Morais, 2014. "The influence of tourism seasonality on family business in peripheral regions," Working Papers de Gestão (Management Working Papers) 03, Católica Porto Business School, Universidade Católica Portuguesa.
    6. Paz Rico & Bernardí Cabrer-Borrás & Francisco Morillas-Jurado, 2021. "Seasonality in Tourism: Do Senior Programs Mitigate It?," Mathematics, MDPI, vol. 9(16), pages 1-27, August.
    7. Yifan Zuo & Liye Zou & Mu Zhang & Lee Smith & Lin Yang & Paul D. Loprinzi & Zhanbing Ren, 2019. "The Temporal and Spatial Evolution of Marathons in China from 2010 to 2018," IJERPH, MDPI, vol. 16(24), pages 1-17, December.
    8. Sun, Ya-Yen & Rodriguez, Ariel & Wu, Jih-Hwa & Chuang, Shu-Tzu, 2013. "Why hotel rooms were not full during a hallmark sporting event: The 2009 World Games experience," Tourism Management, Elsevier, vol. 36(C), pages 469-479.

  7. Brännäs, Kurt & Nordman, Niklas, 2001. "Conditional Skewness Modelling for Stock Returns," Umeå Economic Studies 562, Umeå University, Department of Economics.

    Cited by:

    1. Dark Jonathan Graeme, 2010. "Estimation of Time Varying Skewness and Kurtosis with an Application to Value at Risk," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(2), pages 1-50, March.
    2. Wei Kuang, 2021. "Dynamic VaR forecasts using conditional Pearson type IV distribution," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 500-511, April.
    3. W. D. Walls, "undated". "Modeling heavy tails and skewness in film returns," Working Papers 2014-48, Department of Economics, University of Calgary, revised 23 Sep 2014.
    4. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    5. N. Bhattacharya & T. A. Garrett, 2008. "Why people choose negative expected return assets - an empirical examination of a utility theoretic explanation," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 27-34.
    6. Lin, Chu-Hsiung & Changchien, Chang-Cheng & Kao, Tzu-Chuan & Kao, Wei-Shun, 2014. "High-order moments and extreme value approach for value-at-risk," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 421-434.
    7. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    8. Kurt Brannas & Albina Soultanaeva, 2011. "Influence of news from Moscow and New York on returns and risks of Baltic States’ stock markets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 109-124, July.
    9. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 208-230, Spring.
    10. Bruno Feunou & Mohammad R. Jahan-Parvar & Roméo Tédongap, 2016. "Which parametric model for conditional skewness?," The European Journal of Finance, Taylor & Francis Journals, vol. 22(13), pages 1237-1271, October.
    11. Sree Vinutha Venkataraman & S. V. D. Nageswara Rao, 2016. "Estimation of dynamic VaR using JSU and PIV distributions," Risk Management, Palgrave Macmillan, vol. 18(2), pages 111-134, August.
    12. Sung Y. Park & Sang Hyuck Kim, 2016. "Determinants of systematic risk in the US Restaurant industry," Tourism Economics, , vol. 22(3), pages 621-628, June.
    13. Brännäs, Kurt & Soultanaeva, Albina, 2006. "Influence of News in Moscow and New York on Returns and Risks on Baltic State Stock Indices," Umeå Economic Studies 696, Umeå University, Department of Economics.
    14. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    15. Brännäs, Kurt, 2003. "Temporal Aggregation of the Returns of a Stock Index Series," Umeå Economic Studies 614, Umeå University, Department of Economics.
    16. Stavroyiannis, S. & Makris, I. & Nikolaidis, V. & Zarangas, L., 2012. "Econometric modeling and value-at-risk using the Pearson type-IV distribution," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 10-17.
    17. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2002. "Mixed normal conditional heteroskedasticity," CFS Working Paper Series 2002/10, Center for Financial Studies (CFS).
    18. Doaa Akl Ahmed & Mamdouh M. Abdelsalam, 2015. "Modelling the Density of Egyptian Quarterly CPI Inflation," Working Papers 936, Economic Research Forum, revised Aug 2015.
    19. David Ashton & Mark Tippett, 2006. "Mean Reversion and the Distribution of United Kingdom Stock Index Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1586-1609, November.
    20. John Douglas (J.D.) Opdyke, 2007. "Comparing Sharpe ratios: So where are the p-values?," Journal of Asset Management, Palgrave Macmillan, vol. 8(5), pages 308-336, December.
    21. Stavros Stavroyiannis, 2016. "Value-at-Risk and backtesting with the APARCH model and the standardized Pearson type IV distribution," Papers 1602.05749, arXiv.org.
    22. Lai, Jing-yi, 2012. "Shock-dependent conditional skewness in international aggregate stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 72-83.

  8. Brännäs, Kurt & Nordman, Niklas, 2001. "An Alternative Conditional Asymmetry Specification for Stock Returns," Umeå Economic Studies 556, Umeå University, Department of Economics.

    Cited by:

    1. Kurt Brannas & Albina Soultanaeva, 2011. "Influence of news from Moscow and New York on returns and risks of Baltic States’ stock markets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 109-124, July.
    2. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 208-230, Spring.
    3. Brännäs, Kurt & Nordman, Niklas, 2001. "Conditional Skewness Modelling for Stock Returns," Umeå Economic Studies 562, Umeå University, Department of Economics.
    4. Brännäs, Kurt & Soultanaeva, Albina, 2006. "Influence of News in Moscow and New York on Returns and Risks on Baltic State Stock Indices," Umeå Economic Studies 696, Umeå University, Department of Economics.
    5. Brännäs, Kurt, 2003. "Temporal Aggregation of the Returns of a Stock Index Series," Umeå Economic Studies 614, Umeå University, Department of Economics.
    6. Lai, Jing-yi, 2012. "Shock-dependent conditional skewness in international aggregate stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 72-83.
    7. Anders Wilhelmsson, 2006. "Garch forecasting performance under different distribution assumptions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(8), pages 561-578.

  9. Brännäs, Kurt, 2000. "Estimation in a Duration Model for Evaluating Educational Programs," Umeå Economic Studies 521, Umeå University, Department of Economics.

    Cited by:

    1. Hujer, Reinhard & Wellner, Marc, 2000. "Berufliche Weiterbildung und individuelle Arbeitslosigkeitsdauer in West- und Ostdeutschland : eine mikroökonometrische Analyse (Further vocational training and individual duration of unemployment in ," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 33(3), pages 405-420.
    2. Richardson, Katarina & van den Berg, Gerard J., 2006. "Swedish Labor Market Training and the Duration of Unemployment," IZA Discussion Papers 2314, Institute of Labor Economics (IZA).
    3. Stenberg, Anders, 2002. "Comprehensive Education for the Unemployed - Evaluating the Effectson Unemployment of the Adult Education Initiative in Sweden (Kunskapslyftet)(Kunskapslyftet)," Umeå Economic Studies 579, Umeå University, Department of Economics, revised 07 May 2003.
    4. Richardson, Katarina & van den Berg, Gerard J, 2008. "Duration dependence versus unobserved heterogeneity in treatment effects: Swedish labor market training and the transition rate to employment," Working Paper Series 2008:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Rabe, Birgitta, 2000. "Wirkungen aktiver Arbeitsmarktpolitik: Evaluierungsergebnisse für Deutschland, Schweden, Dänemark und die Niederlande," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 00-208, WZB Berlin Social Science Center.

  10. Brännäs, Kurt & Nordström, Jonas, 2000. "A Bivariate Integer Valued Allocation Model for Guest Nights in Hotels and Cottages," Umeå Economic Studies 547, Umeå University, Department of Economics.

    Cited by:

    1. Pedeli, Xanthi & Karlis, Dimitris, 2013. "Some properties of multivariate INAR(1) processes," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 213-225.

  11. Brännäs, Kurt & de Gooijer, Jan G., 2000. "ASYMMETRIES IN CONDITIONAL MEAN AND VARIANCE: MODELLING STOCK RETURNS BY asMA-asQGARCH," Umeå Economic Studies 535, Umeå University, Department of Economics.

    Cited by:

    1. Taştan, Hüseyin, 2011. "Simulation based estimation of threshold moving average models with contemporaneous shock asymmetry," MPRA Paper 34302, University Library of Munich, Germany.
    2. Hua, Zhongsheng & Zhang, Bin, 2008. "Improving density forecast by modeling asymmetric features: An application to S&P500 returns," European Journal of Operational Research, Elsevier, vol. 185(2), pages 716-725, March.
    3. Brännäs Kurt & De Gooijer Jan G. & Lönnbark Carl & Soultanaeva Albina, 2012. "Simultaneity and Asymmetry of Returns and Volatilities: The Emerging Baltic States' Stock Exchanges," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-24, January.
    4. Kurt Brannas & Albina Soultanaeva, 2011. "Influence of news from Moscow and New York on returns and risks of Baltic States’ stock markets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 109-124, July.
    5. Kurt Brännäs & Niklas Nordman, 2001. "An Alternative Conditional Asymmetry Specification for Stock Returns," CESifo Working Paper Series 448, CESifo.
    6. Brännäs, Kurt & Nordman, Niklas, 2001. "Conditional Skewness Modelling for Stock Returns," Umeå Economic Studies 562, Umeå University, Department of Economics.
    7. Brännäs, Kurt & Soultanaeva, Albina, 2006. "Influence of News in Moscow and New York on Returns and Risks on Baltic State Stock Indices," Umeå Economic Studies 696, Umeå University, Department of Economics.
    8. María José Rodríguez & Esther Ruiz, 2012. "Revisiting Several Popular GARCH Models with Leverage Effect: Differences and Similarities," Journal of Financial Econometrics, Oxford University Press, vol. 10(4), pages 637-668, September.
    9. Rodríguez, Mª José, 2009. "GARCH models with leverage effect : differences and similarities," DES - Working Papers. Statistics and Econometrics. WS ws090302, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Srikanta Kundu & Nityananda Sarkar, 2016. "Is the Effect of Risk on Stock Returns Different in Up and Down Markets? A Multi-Country Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 53-71, September.
    11. Brännäs, Kurt, 2003. "Temporal Aggregation of the Returns of a Stock Index Series," Umeå Economic Studies 614, Umeå University, Department of Economics.
    12. Jan G. Gooijer, 2021. "Asymmetric vector moving average models: estimation and testing," Computational Statistics, Springer, vol. 36(2), pages 1437-1460, June.
    13. Kulp-Tåg, Sofie, 2007. "Short-Horizon Asymmetric Mean-Reversion and Overreactions: Evidence from the Nordic Stock Markets," Working Papers 524, Hanken School of Economics.
    14. Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," SSE/EFI Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004.
    15. Giuseppe Storti & Alessandra Amendola, 2000. "A Non Linear Time Series Approach To Modelling Asymmetry In Stock Market Indexes," Computing in Economics and Finance 2000 97, Society for Computational Economics.

  12. Brännäs, Kurt & Hellström, Jörgen, 1999. "Generalized Integer-Valued Autoregression," Umeå Economic Studies 501, Umeå University, Department of Economics.

    Cited by:

    1. David M. Waguespack & Robert Salomon, 2016. "Quality, Subjectivity, and Sustained Superior Performance at the Olympic Games," Management Science, INFORMS, vol. 62(1), pages 286-300, January.
    2. Hellström, Jörgen & Simonsen, Ola, 2006. "Does the Open Limit Order Book Reveal Information About Short-run Stock Price Movements?," Umeå Economic Studies 687, Umeå University, Department of Economics.
    3. Feike C. Drost & Ramon Van Den Akker & Bas J. M. Werker, 2008. "Local asymptotic normality and efficient estimation for INAR(p) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 783-801, September.
    4. Jung, Robert C. & Tremayne, A.R., 2006. "Coherent forecasting in integer time series models," International Journal of Forecasting, Elsevier, vol. 22(2), pages 223-238.
    5. Aliou DIAGNE, 2006. "Diffusion And Adoption Of Nerica Rice Varieties In Côte D’Ivoire," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 208-231, June.
    6. Daunfeldt, Sven-Olov & Orth, Matilda & Rudholm, Niklas, 2008. "Does the Quality of Store Brands Affect the Number of National Brand Suppliers?," HUI Working Papers 18, HUI Research.
    7. McCabe, B.P.M. & Martin, G.M., 2005. "Bayesian predictions of low count time series," International Journal of Forecasting, Elsevier, vol. 21(2), pages 315-330.
    8. Yousung Park & Hee-Young Kim, 2012. "Diagnostic checks for integer-valued autoregressive models using expected residuals," Statistical Papers, Springer, vol. 53(4), pages 951-970, November.
    9. Hellstrom, Jorgen, 2001. "Unit root testing in integer-valued AR(1) models," Economics Letters, Elsevier, vol. 70(1), pages 9-14, January.
    10. Francesco Bravo, 2011. "Comment on: Subsampling weakly dependent time series and application to extremes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 483-486, November.
    11. Nikas Rudholm, 2001. "Entry and the Number of Firms in the Swedish Pharmaceuticals Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(3), pages 351-364, November.
    12. Maxime Faymonville & Carsten Jentsch & Christian H. Weiß & Boris Aleksandrov, 2023. "Semiparametric estimation of INAR models using roughness penalization," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 365-400, June.
    13. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2008. "Efficient Estimation of Autoregression Parameters and Innovation Distributions forSemiparametric Integer-Valued AR(p) Models (Revision of DP 2007-23)," Other publications TiSEM cef533d0-6b49-4ce9-8cd2-7, Tilburg University, School of Economics and Management.
    14. Brännäs, Kurt & Hellström, Jörgen & Nordström, Jonas, 1999. "A New Approach to Modelling and Forecasting Monthly Guest Nights in Hotels," Umeå Economic Studies 503, Umeå University, Department of Economics.
    15. Andersson, Jonas & Karlis, Dimitris, 2008. "Treating missing values in INAR(1) models," Discussion Papers 2008/14, Norwegian School of Economics, Department of Business and Management Science.
    16. Robert Jung & Gerd Ronning & A. Tremayne, 2005. "Estimation in conditional first order autoregression with discrete support," Statistical Papers, Springer, vol. 46(2), pages 195-224, April.

  13. Brännäs, Kurt & Hellström, Jörgen & Nordström, Jonas, 1999. "A New Approach to Modelling and Forecasting Monthly Guest Nights in Hotels," Umeå Economic Studies 503, Umeå University, Department of Economics.

    Cited by:

    1. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    2. Christian Weiß, 2008. "Thinning operations for modeling time series of counts—a survey," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(3), pages 319-341, August.
    3. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    4. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    5. Song, Haiyan & Lin, Shanshan & Witt, Stephen F. & Zhang, Xinyan, 2011. "Impact of financial/economic crisis on demand for hotel rooms in Hong Kong," Tourism Management, Elsevier, vol. 32(1), pages 172-186.
    6. Mohammadipour, Maryam & Boylan, John E., 2012. "Forecast horizon aggregation in integer autoregressive moving average (INARMA) models," Omega, Elsevier, vol. 40(6), pages 703-712.
    7. Luis Alberiko Gil-Alaña, 2010. "Tourism in South Africa. Time series persistence and the nature of shocks. Are they transitory or permament?," NCID Working Papers 06/2011, Navarra Center for International Development, University of Navarra.
    8. J. Cunado & L.A. Gil-Alana & F. P Erez de Gracia, 2008. "Fractional Integration and Structural Breaks: Evidence from International Monthly Arrivals in the USA," Tourism Economics, , vol. 14(1), pages 13-23, March.
    9. 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.
    10. Bahman Rostami‐Tabar & M. Zied Babai & Aris Syntetos & Yves Ducq, 2013. "Demand forecasting by temporal aggregation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(6), pages 479-498, September.
    11. Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020. "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-18, April.
    12. J. Cunado & L.A. Gil-Alana & F. Pérez de Gracia, 2004. "Modelling Monthly Spanish Tourism: A Seasonal Fractionally Integrated Approach," Tourism Economics, , vol. 10(1), pages 79-94, March.
    13. Adam G. Walke & Thomas M. Fullerton Jr., 2019. "Metropolitan Hotel Sector Forecast Accuracy in El Paso," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 179-191, June.
    14. Quoreshi, Shahiduzzaman, 2005. "Modelling High Frequency Financial Count Data," Umeå Economic Studies 656, Umeå University, Department of Economics.
    15. Juan Luis Eugenio-Martín & Noelia Martín Morales & Riccardo Scarpa, 2004. "Tourism and Economic Growth in Latin American Countries: A Panel Data Approach," Working Papers 2004.26, Fondazione Eni Enrico Mattei.
    16. Brännäs, Kurt & Quoreshi, Shahiduzzaman, 2004. "Integer-Valued Moving Average Modelling of the Number of Transactions in Stocks," Umeå Economic Studies 637, Umeå University, Department of Economics.
    17. Luis A. Gil-Alana & Juncal Cunado & Fernando Perez de Gracia, 2008. "Tourism in the Canary Islands: forecasting using several seasonal time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 621-636.
    18. Brännäs, Kurt & Lönnbark, Carl, 2006. "Effects of Explanatory Variables in Count Data Moving Average Models," Umeå Economic Studies 679, Umeå University, Department of Economics.
    19. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    20. J. Cunado & L.A. Gil-Alana & F. Péarez de Gracia, 2005. "The Nature of Seasonality in Spanish Tourism Time Series," Tourism Economics, , vol. 11(4), pages 483-499, December.
    21. Darolles, Serge & Fol, Gaëlle Le & Lu, Yang & Sun, Ran, 2019. "Bivariate integer-autoregressive process with an application to mutual fund flows," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 181-203.

  14. Berglund, Elisabet & Brännäs, Kurt, 1999. "Plants' Entry and Exit in Swedish Municipalities," Umeå Economic Studies 497, Umeå University, Department of Economics.

    Cited by:

    1. Brixy, Udo & Grotz, Reinhold, 2006. "Regional patterns and determinants of new firm formation and survival in western Germany," IAB-Discussion Paper 200605, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Daunfeldt , Sven-Olov & Rudholm, Niklas & Bergström, Fredrik, 2002. "Entry into Swedish Retail- and Wholesale Trade Markets," Umeå Economic Studies 599, Umeå University, Department of Economics.
    3. Stephan Brunow & Peter Nijkamp, 2019. "Firm Formation And Industrial Agglomeration Under Monopolistic Competition - A Study On German Regions," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 13(2), pages 1-25, DECEMBER.
    4. Calá, Carla Daniela, 2015. "Firm dynamics in developing countries: a single policy for all regions?," Nülan. Deposited Documents 2650, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    5. Feike C. Drost & Ramon van den Akker & Bas J. M. Werker, 2009. "Efficient estimation of auto‐regression parameters and innovation distributions for semiparametric integer‐valued AR(p) models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 467-485, April.
    6. Berglund, Elisabet, 1999. "Human Capital and Regional Entry of Firms," Umeå Economic Studies 500, Umeå University, Department of Economics.
    7. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    8. Feike C. Drost & Ramon Van Den Akker & Bas J. M. Werker, 2008. "Local asymptotic normality and efficient estimation for INAR(p) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 783-801, September.
    9. Burhan Can Karahasan, 2014. "The Spatial Distribution Of New Firms:Can Peripheral Areas Escape From The Curse Of Remoteness?," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 8(2), pages 1-28, DECEMBER.
    10. Stefan Buehler & Christian Kaiser & Franz Jaeger, 2012. "The geographic determinants of bankruptcy: evidence from Switzerland," Small Business Economics, Springer, vol. 39(1), pages 231-251, July.
    11. Stephan Brunow & Peter Nijkamp, 2013. "Firm Formation and Agglomeration under Monopolistic Competition," Tinbergen Institute Discussion Papers 13-134/VIII, Tinbergen Institute.
    12. Håkansson, Johan & Macuchova, Zuzana & Rudholm, Niklas, 2011. "Firm migration in the Swedish wholesale trade sector," HUI Working Papers 52, HUI Research.
    13. Jean-Pierre Huiban, 2011. "The spatial demography of new plants: urban creation and rural survival," Small Business Economics, Springer, vol. 37(1), pages 73-86, July.
    14. Kiarash Motamedi & Nathalie Picard & André de Palma, 2013. "Employment and Business Evolution and Location Choice in Paris Area Firmographics approach," THEMA Working Papers 2013-28, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Calá, Carla Daniela, 2014. "Regional issues on firm entry and exit in Argentina: core and peripheral regions," Nülan. Deposited Documents 2023, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    16. Schanne, Norbert & Weyh, Antje, 2009. "What makes start-ups out of unemployment different?," IAB-Discussion Paper 200904, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. A. Colin Cameron & Tong Li & Pravin K. Trivedi & David M. Zimmer, 2004. "Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 566-584, December.
    18. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2008. "Efficient Estimation of Autoregression Parameters and Innovation Distributions forSemiparametric Integer-Valued AR(p) Models (Revision of DP 2007-23)," Other publications TiSEM cef533d0-6b49-4ce9-8cd2-7, Tilburg University, School of Economics and Management.
    19. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2009. "The asymptotic structure of nearly unstable non negative integer-valued AR(1) models," Other publications TiSEM ac0494ae-7a32-43ca-b5b4-d, Tilburg University, School of Economics and Management.
    20. Stefan Buehler & Christian Kaiser & Franz Jaeger, 2007. "On the Geographic and Cultural Determinants of Bankruptcy," SOI - Working Papers 0701, Socioeconomic Institute - University of Zurich, revised Jun 2007.
    21. Berglund, Elisabet, 1999. "Options, Timing, and Regional Entry of Firms," Umeå Economic Studies 505, Umeå University, Department of Economics.
    22. Canfei He & Rudai Yang, 2016. "Determinants of Firm Failure: Empirical Evidence from China," Growth and Change, Wiley Blackwell, vol. 47(1), pages 72-92, March.

  15. Brännäs, Kurt & Hellström, Jörgen, 1998. "Forecasting based on Very Small Samples and Additional Non-Sample Information," Umeå Economic Studies 472, Umeå University, Department of Economics.

    Cited by:

    1. Hellstrom, Jorgen, 2001. "Unit root testing in integer-valued AR(1) models," Economics Letters, Elsevier, vol. 70(1), pages 9-14, January.
    2. Nikas Rudholm, 2001. "Entry and the Number of Firms in the Swedish Pharmaceuticals Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(3), pages 351-364, November.

  16. Brännäs, Kurt & Hall, Andreia, 1998. "Estimation in integer - valued moving average models," Umeå Economic Studies 477, Umeå University, Department of Economics.

    Cited by:

    1. Chen, Zezhun & Dassios, Angelos, 2022. "Cluster point processes and Poisson thinning INARMA," LSE Research Online Documents on Economics 113652, London School of Economics and Political Science, LSE Library.
    2. Brännäs, Kurt, 2002. "Conditional Heteroskedasticity in some Common Count Data Models for Financial Time Series Data," Umeå Economic Studies 592, Umeå University, Department of Economics.
    3. Christian H. Weiß & Martin H.-J. M. Feld & Naushad Mamode Khan & Yuvraj Sunecher, 2019. "INARMA Modeling of Count Time Series," Stats, MDPI, vol. 2(2), pages 1-37, June.
    4. Kimberly F. Sellers & Ali Arab & Sean Melville & Fanyu Cui, 2021. "A flexible univariate moving average time-series model for dispersed count data," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-12, December.
    5. Schatz, Michael & Wheatley, Spencer & Sornette, Didier, 2022. "The ARMA Point Process and its Estimation," Econometrics and Statistics, Elsevier, vol. 24(C), pages 164-182.
    6. Brännäs, Kurt & Hellström, Jörgen & Nordström, Jonas, 1999. "A New Approach to Modelling and Forecasting Monthly Guest Nights in Hotels," Umeå Economic Studies 503, Umeå University, Department of Economics.

  17. Brannas, K. & Ohlsson, H., 1995. "Asymmetric Cycles and Temporal Aggregation," Papers 1995-11, Uppsala - Working Paper Series.

    Cited by:

    1. Taştan, Hüseyin, 2011. "Simulation based estimation of threshold moving average models with contemporaneous shock asymmetry," MPRA Paper 34302, University Library of Munich, Germany.
    2. Martin Chalkley & In Ho Lee, 1998. "Learning and Asymmetric Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(3), pages 623-645, July.
    3. Steven Cook & Alan Speight, 2006. "International Business Cycle Asymmetry and Time Irreversible Nonlinearities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1051-1065.
    4. Ahn, Eun S. & Lee, Jin Man, 2012. "The Performance Of Nonlinearity Tests On Asymmetric Nonlinear Time Series," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 11-44.
    5. van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2010. "Asymmetric unemployment rate dynamics in Australia," CREATES Research Papers 2010-02, Department of Economics and Business Economics, Aarhus University.
    7. Valadkhani, Abbas & Worthington, Andrew, 2014. "Asymmetric behavior of Australia's Big-4 banks in the mortgage market," Economic Modelling, Elsevier, vol. 43(C), pages 57-66.
    8. Brännäs Kurt & De Gooijer Jan G. & Lönnbark Carl & Soultanaeva Albina, 2012. "Simultaneity and Asymmetry of Returns and Volatilities: The Emerging Baltic States' Stock Exchanges," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-24, January.
    9. Kurt Brannas & Albina Soultanaeva, 2011. "Influence of news from Moscow and New York on returns and risks of Baltic States’ stock markets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 109-124, July.
    10. Abbas Valadkhani & Sajid Anwar & Amir Arjomandi, 2014. "Downward stickiness of interest rates in the Australian credit card market," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(1), pages 52-65, January.
    11. Forslund, Anders & Kolm, Ann-Sofie, 2000. "Active labour market policies and real-wage determination - Swedish evidence," Working Paper Series 2000:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. Brännäs, Kurt & Soultanaeva, Albina, 2006. "Influence of News in Moscow and New York on Returns and Risks on Baltic State Stock Indices," Umeå Economic Studies 696, Umeå University, Department of Economics.
    13. Schorderet, Yann, 2001. "Revisiting Okun's Law: An Hysteretic Perspective," University of California at San Diego, Economics Working Paper Series qt2fb7n2wd, Department of Economics, UC San Diego.
    14. Abbas Valadkhani & Sajid Anwar & Amir Arjonandi, 2012. "How to capture the full extent of price stickiness in credit card interest rates?," Economics Working Papers wp12-02, School of Economics, University of Wollongong, NSW, Australia.
    15. Ivan Paya & David A. Peel, 2011. "Systematic sampling of nonlinear models: Evidence on speed of adjustment in index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(2), pages 192-203, February.
    16. Skalin, Joakim & Teräsvirta, Timo, 1998. "Modelling asymmetries and moving equilibria in unemployment rates," SSE/EFI Working Paper Series in Economics and Finance 262, Stockholm School of Economics, revised Jul 1999.
    17. Terence Mills, 2001. "Business cycle asymmetry and duration dependence: An international perspective," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 713-724.
    18. Valadkhani, Abbas, 2013. "The pricing behaviour of Australian banks and building societies in the residential mortgage market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 133-151.
    19. Brännäs, Kurt, 2003. "Temporal Aggregation of the Returns of a Stock Index Series," Umeå Economic Studies 614, Umeå University, Department of Economics.
    20. Abbas Valadkhani & Sajid Anwar, 2012. "Interest Rate Pass-Through and the Asymmetric Relationship between the Cash Rate and the Mortgage Rate," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 341-350, September.
    21. Jan G. Gooijer, 2021. "Asymmetric vector moving average models: estimation and testing," Computational Statistics, Springer, vol. 36(2), pages 1437-1460, June.
    22. Brännäs, Kurt & de Gooijer, Jan G., 2000. "ASYMMETRIES IN CONDITIONAL MEAN AND VARIANCE: MODELLING STOCK RETURNS BY asMA-asQGARCH," Umeå Economic Studies 535, Umeå University, Department of Economics.
    23. Maria Simona Andreano & Giovanni Savio, 2002. "Further evidence on business cycle asymmetries in G7 countries," Applied Economics, Taylor & Francis Journals, vol. 34(7), pages 895-904.
    24. Ginger M. Davis & Katherine B. Ensor, 2007. "Multivariate Time‐Series Analysis With Categorical and Continuous Variables in an Lstr Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(6), pages 867-885, November.
    25. Abbas Valadkhani & Martin O'Brien & Amir Arjomandi, 2013. "Examining the nature of the relationship between Tapis crude oil and Singapore petrol prices," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 36(1), pages 27-41.
    26. Abbas Valadkhani & Amir Arjomandi & Martin O'Brien, 2013. "Does the interest rate for business loans respond asymmetrically to changes in the cash rate?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(9), pages 869-874, June.
    27. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2002. "A smooth-transition model of the Australian unemployment rate," Working Paper Series 1002, Department of Economics, Norwegian University of Science and Technology, revised 01 Jul 2003.

  18. Andersson, Thomas & Brännäs, Kurt, 1991. "Explaining the Termination of Nationalizations in the Late 1970s," Working Paper Series 313, Research Institute of Industrial Economics.

    Cited by:

    1. Andersson, Thomas & Brännäs, Kurt, 1992. "Nationalizations and Investment Flows: A Panel Study," Working Paper Series 330, Research Institute of Industrial Economics.
    2. Andersson, Thomas & Brännäs, Kurt, 1991. "Explaining Cross-Country Variation in Nationalization Frequencies," Working Paper Series 319, Research Institute of Industrial Economics.

Articles

  1. Brännäs Kurt & De Gooijer Jan G. & Lönnbark Carl & Soultanaeva Albina, 2012. "Simultaneity and Asymmetry of Returns and Volatilities: The Emerging Baltic States' Stock Exchanges," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-24, January.

    Cited by:

    1. Luis A. Gil-Alana & Rangan Gupta & Olanrewaju I. Shittu & OlaOluwa S. Yaya, 2016. "Market Efficiency of Baltic Stock Markets: A Fractional Integration Approach," Working Papers 201617, University of Pretoria, Department of Economics.
    2. Nikola Radivojević & Nikola V. Ćurčić & Djurdjica Dj. Vukajlović, 2017. "Hull-White’s value at risk model: case study of Baltic equities market," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 1023-1041, September.

  2. Kurt Brannas & Albina Soultanaeva, 2011. "Influence of news from Moscow and New York on returns and risks of Baltic States’ stock markets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 109-124, July.

    Cited by:

    1. Viorica Chirilă & Ciprian Chirilă, 2020. "Asymmetric Return and Volatility Transmission in Euro Zone and Baltic Countries Stock Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 2-11, December.

  3. Lönnbark, Carl & Holmberg, Ulf & Brännäs, Kurt, 2011. "Value at Risk and Expected Shortfall for large portfolios," Finance Research Letters, Elsevier, vol. 8(2), pages 59-68, June.

    Cited by:

    1. Csóka, Péter, 2017. "Fair risk allocation in illiquid markets," Finance Research Letters, Elsevier, vol. 21(C), pages 228-234.

  4. Kurt Brännäs & Jonas Nordström, 2006. "Tourist Accommodation Effects of Festivals," Tourism Economics, , vol. 12(2), pages 291-302, June.
    See citations under working paper version above.
  5. Brannas Kurt & Nordstrom Jonas, 2004. "An Integer-Valued Time Series Model for Hotels that Accounts for Constrained Capacity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-11, December.

    Cited by:

    1. Pasquale Cirillo & Jürg Hüsler & Pietro Muliere, 2013. "Alarm Systems and Catastrophes from a Diverse Point of View," Methodology and Computing in Applied Probability, Springer, vol. 15(4), pages 821-839, December.
    2. Brännäs, Kurt & Nordström, Jonas, 2002. "Tourist Accommodation Effects of Festivals," Umeå Economic Studies 580, Umeå University, Department of Economics.
    3. Krishnan, Trichy V. & Feng, Shanfei & Beebe, Tony, 2011. "Modeling the demand and supply in a new B2B-upstream market using a knowledge updating process," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1160-1177, October.

  6. Jan G. De Gooijer & Kurt Brännäs, 2004. "Asymmetries in conditional mean and variance: modelling stock returns by asMA-asQGARCH," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 155-171.
    See citations under working paper version above.
  7. Kurt Brannas & Niklas Nordman, 2003. "Conditional skewness modelling for stock returns," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 725-728.
    See citations under working paper version above.
  8. Brannas, Kurt & Hellstrom, Jorgen & Nordstrom, Jonas, 2002. "A new approach to modelling and forecasting monthly guest nights in hotels," International Journal of Forecasting, Elsevier, vol. 18(1), pages 19-30.
    See citations under working paper version above.
  9. Kurt Brannas & Jorgen Hellstrom, 2001. "Generalized Integer-Valued Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 20(4), pages 425-443.
    See citations under working paper version above.
  10. Kurt Brännäs & Andreia Hall, 2001. "Estimation in integer‐valued moving average models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 17(3), pages 277-291, July.
    See citations under working paper version above.
  11. Elisabet Berglund & Kurt Brännäs, 2001. "Plants' entry and exit in Swedish municipalities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(3), pages 431-448.
    See citations under working paper version above.
  12. Kurt Brännäs & Henry Ohlsson, 1999. "Asymmetric Time Series and Temporal Aggregation," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 341-344, May.
    See citations under working paper version above.
  13. Per Johansson & Kurt Brafinnafis, 1998. "A household model for work absence," Applied Economics, Taylor & Francis Journals, vol. 30(11), pages 1493-1503.

    Cited by:

    1. Andrén, Daniela, 2004. "Why Are The Sickness Absences So Long In Sweden," Working Papers in Economics 137, University of Gothenburg, Department of Economics.
    2. Daniela Andrén, 2003. "Sickness-related Absenteeism and Economic Incentives in Sweden: A History of Reforms," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 1(03), pages 54-60, February.
    3. Cassel, Claes-M. & Johansson, Per & Palme, Mårten, 1996. "A Dynamic Discrete Choice Model of blue Collar Worker Absenteeism in Sweden 1991," SSE/EFI Working Paper Series in Economics and Finance 129, Stockholm School of Economics.
    4. Henrekson, Magnus & Persson, Mats, 2001. "The Effects on Sick Leave of Changes in the Sickness Insurance System," SSE/EFI Working Paper Series in Economics and Finance 0444, Stockholm School of Economics, revised 18 Mar 2003.
    5. Granlund, David, 2007. "The effect of health care expenditure on sickness absence," Umeå Economic Studies 701, Umeå University, Department of Economics, revised 13 Apr 2007.
    6. Andrén, Daniela & Granlund, David, 2010. ""Waiting for the other shoe to drop": waiting for health care and duration of sick leave," Umeå Economic Studies 814, Umeå University, Department of Economics.
    7. Santos Silva, Joao M. C. & Windmeijer, Frank, 2001. "Two-part multiple spell models for health care demand," Journal of Econometrics, Elsevier, vol. 104(1), pages 67-89, August.
    8. Selén, Jan & Ståhlberg, Ann-Charlotte, 2001. "The Importance of Sickness Benefits Rights for a Comparison of Wages," Working Paper Series 1/2002, Stockholm University, Swedish Institute for Social Research.
    9. David Granlund, 2010. "The effect of health care expenditure on sickness absence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(6), pages 555-568, December.

  14. Thomas Aronsson & Kurt Brannas, 1996. "Household Work Travel Time," Regional Studies, Taylor & Francis Journals, vol. 30(6), pages 541-548.

    Cited by:

    1. Cho, Seong-Hoon & Bowker, J.M. & English, Donald B.K. & Roberts, Roland K. & Kim, Taeyoung, 2014. "Effects of travel cost and participation in recreational activities on national forest visits," Forest Policy and Economics, Elsevier, vol. 40(C), pages 21-30.
    2. Ian Hodge & Jessica Dunn & Sarah Monk & Maureen Fitzgerald, 2002. "Barriers to Participation in Residual Rural Labour Markets," Work, Employment & Society, British Sociological Association, vol. 16(3), pages 457-476, September.
    3. McQuaid, Ronald W., 2009. "A model of the travel to work limits of parents," Research in Transportation Economics, Elsevier, vol. 25(1), pages 19-28.
    4. Latreille, Paul L. & Blackaby, David H. & Murphy, Philip D. & O'Leary, Nigel C. & Sloane, Peter J., 2006. "How Far and For How Much? Evidence on Wages and Potential Travel-to-Work Distances from a Survey of the Economically Inactive," IZA Discussion Papers 1976, Institute of Labor Economics (IZA).
    5. Lundevaller, Erling Häggström, 2009. "The effect of travel cost on frequencies of shopping and recreational trips in Sweden," Journal of Transport Geography, Elsevier, vol. 17(3), pages 208-215.

  15. Brannas, Kurt & Karlsson, Niklas, 1996. "Estimating the perceived tax scale within a labor supply model," Economics Letters, Elsevier, vol. 52(1), pages 75-79, July.

    Cited by:

    1. Atallah, Gamal, 1998. "Les impôts sur le revenu et l’offre de travail des femmes mariées : une revue de la littérature," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(1), pages 95-128, mars.
    2. Fochmann, Martin & Kiesewetter, Dirk & Blaufus, Kay & Hundsdoerfer, Jochen & Weimann, Joachim, 2010. "Tax Perception: An empirical survey," arqus Discussion Papers in Quantitative Tax Research 99, arqus - Arbeitskreis Quantitative Steuerlehre.
    3. Blaufus, Kay & Bob, Jonathan & Hundsdoerfer, Jochen & Kiesewetter, Dirk & Weimann, Joachim, 2010. "It's all about tax rates: An empirical study of tax perception," arqus Discussion Papers in Quantitative Tax Research 106, arqus - Arbeitskreis Quantitative Steuerlehre.
    4. Raj Chetty & Emmanuel Saez, 2009. "Teaching the Tax Code: Earnings Responses to an Experiment with EITC Recipients," NBER Working Papers 14836, National Bureau of Economic Research, Inc.
    5. Flood, Lennart, 1998. "The Structure of the Tax-system and the Estimation of Labor Supply Models," Working Papers in Economics 1, University of Gothenburg, Department of Economics.
    6. Kay Blaufus & Jonathan Bob & Jochen Hundsdoerfer & Christian Sielaff & Dirk Kiesewetter & Joachim Weimann, 2015. "Perception of income tax rates: evidence from Germany," European Journal of Law and Economics, Springer, vol. 40(3), pages 457-478, December.
    7. Erik Fjaerli & Diderik Lund, 2001. "The choice between owner's wages and dividends under the dual income tax," Finnish Economic Papers, Finnish Economic Association, vol. 14(2), pages 104-119, Autumn.
    8. Arrazola, Maria & de Hevia, Jose & Sanz, Jose F., 2000. "More on tax perception and labour supply: the Spanish case," Economics Letters, Elsevier, vol. 67(1), pages 15-21, April.

  16. Brannas, Kurt, 1995. "Prediction and control for a time-series count data model," International Journal of Forecasting, Elsevier, vol. 11(2), pages 263-270, June.

    Cited by:

    1. Brännäs, Kurt & Hellström, Jörgen, 1998. "Forecasting based on Very Small Samples and Additional Non-Sample Information," Umeå Economic Studies 472, Umeå University, Department of Economics.
    2. 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.

  17. Brannas, Kurt & Rosenqvist, Gunnar, 1994. "Semiparametric estimation of heterogeneous count data models," European Journal of Operational Research, Elsevier, vol. 76(2), pages 247-258, July.

    Cited by:

    1. Lim, Hwa Kyung & Li, Wai Keung & Yu, Philip L.H., 2014. "Zero-inflated Poisson regression mixture model," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 151-158.
    2. Greene, W., 2001. "Fixed and Random Effects in Nonlinear Models," New York University, Leonard N. Stern School Finance Department Working Paper Seires 01-01, New York University, Leonard N. Stern School of Business-.
    3. Payandeh Najafabadi Amir T. & MohammadPour Saeed, 2018. "A k-Inflated Negative Binomial Mixture Regression Model: Application to Rate–Making Systems," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(2), pages 1-31, July.
    4. Glenn Ellison & Ashley Swanson, 2012. "Heterogeneity in High Math Achievement Across Schools: Evidence from the American Mathematics Competitions," NBER Working Papers 18277, National Bureau of Economic Research, Inc.
    5. Marco Alfò & Giovanni Trovato, 2004. "Semiparametric Mixture Models for Multivariate Count Data, with Application," CEIS Research Paper 51, Tor Vergata University, CEIS.
    6. Óscar D. Lourenço & Pedro L. Ferreira, 2005. "Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 939-953, September.
    7. Nadarajah, Saralees & Kotz, Samuel, 2009. "Models for purchase frequency," European Journal of Operational Research, Elsevier, vol. 192(3), pages 1014-1026, February.
    8. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Andersson, Thomas & Brännäs, Kurt, 1991. "Explaining Cross-Country Variation in Nationalization Frequencies," Working Paper Series 319, Research Institute of Industrial Economics.
    10. Marco Alfò & Cecilia Vitiello, 2003. "Finite mixtures approach to ecological regression," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 12(1), pages 93-108, February.
    11. Glenn Ellison & Ashley Swanson, 2016. "Do Schools Matter for High Math Achievement? Evidence from the American Mathematics Competitions," American Economic Review, American Economic Association, vol. 106(6), pages 1244-1277, June.
    12. Lundevaller, Erling Häggström, 2009. "The effect of travel cost on frequencies of shopping and recreational trips in Sweden," Journal of Transport Geography, Elsevier, vol. 17(3), pages 208-215.
    13. Alessandro Lomi, 1993. "A semiparametric random effects approach to unobserved heterogeneity in count data models of organizational founding," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(2), pages 139-155, May.

  18. Brannas, Kurt, 1986. "Small sample properties in a heterogenous Weibull model," Economics Letters, Elsevier, vol. 21(1), pages 17-20.

    Cited by:

    1. Kettunen, Juha, 1997. "Education and unemployment duration," Economics of Education Review, Elsevier, vol. 16(2), pages 163-170, April.

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