In the present work, we consider the dynamics of the main indicators of innovation activity of Russian industrial enterprises and examine their relationship. Using the methods of time series analysis built a dynamic model with distributed lags on the basis method Almon. It is shown that the proposed model adequately describes the analyzed statistical data and can be used to describe the processes of innovation development and forecasting
Keywords: innovation, time series analysis, the model with distributed lags method Almon
References:
Berndt E.R. Praktika ekonometriki [Practice of econometrics]. Moscow, Iuniti-Dana Publ., 2005, 388 р.
Boldyrevskii P.B. Osnovnye elementy sistemy upravleniia riskami promyshlennykh predpriiatii [The main elements of the risk management systems of industrial enterprises]. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo – Bulletin of the Lobachevsky State University of Nizhny Novgorod, 2013, no. 3, pp. 31–34.
Boldyrevskii P.B., Kistanova L.A. Matematiko-statisticheskaia model' innovatsionnoi deiatel'nosti promyshlennykh predpriiatii [Mathematical-statistical model of innovation activity of industrial enterprises]. Ekonomicheskii analiz: teoriia i praktika – Economic analysis: theory and practice, 2014, no. 15, pp. 57–64.
Danilenko L.N. Problemy transformatsii rentno-syr'evoi modeli rossiiskoi ekonomiki [Problems of transformation of rent-raw materials model of the Russian economy]. Innovatsii – Innovations, 2013, no. 3, pp. 3–12.
The INSEAD study: Global innovation index 2013. Center of humanitarian technologies. Available at: Link. (In Russ.)
The results of a survey of managers of industrial enterprises of St. Petersburg, 2013. Available at: Link. (In Russ.)