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A model for non-negative and non-positive distributed lag functions

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  • Lutkepohl, Helmut

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  • Lutkepohl, Helmut, 1981. "A model for non-negative and non-positive distributed lag functions," Journal of Econometrics, Elsevier, vol. 16(2), pages 211-219, June.
    • Handle: RePEc:eee:econom:v:16:y:1981:i:2:p:211-219
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    Cited by:

    1. Muhammad Akmal, 1994. "The Production and Consumption of Livestock Foods in Pakistan: A Look into the Future," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 33(1), pages 19-39.
    2. Malte Knüppel & Guido Schultefrankenfeld, 2017. "Interest rate assumptions and predictive accuracy of central bank forecasts," Empirical Economics, Springer, vol. 53(1), pages 195-215, August.
    3. Foroni, Claudia & Marcellino, Massimiliano & Schumacher, Christian, 2011. "U-MIDAS: MIDAS regressions with unrestricted lag polynomials," Discussion Paper Series 1: Economic Studies 2011,35, Deutsche Bundesbank.
    4. Robert Kunst & Philip Franses, 2015. "Asymmetric time aggregation and its potential benefits for forecasting annual data," Empirical Economics, Springer, vol. 49(1), pages 363-387, August.
    5. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    6. J.‐P. Chavas & A. F. Kraus, 1990. "Population Dynamics And Milk Supply Response In The Us Lake States," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 75-84, January.
    7. Chotikapanich, Duangkamon & Griffiths, William E., 2000. "Flexible Distributed Lags," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123623, Australian Agricultural and Resource Economics Society.
    8. Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
    9. Helmut Lütkepohl, 2010. "Forecasting Aggregated Time Series Variables: A Survey," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-26.

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