Loading [MathJax]/jax/output/SVG/jax.js
Research article Special Issues

Modeling Business Cycle with Financial Shocks Basing on Kaldor-Kalecki Model

  • The effects of financial factors on real business cycle is rising to one of the most popular discussions in the field of macro business cycle theory. The objective of this paper is to discuss the features of business cycle under financial shocks by quantitative technology. More precisely, we introduce financial shocks into the classical Kaldor-Kalecki business cycle model and study dynamics of the model. The shocks include external shock and internal shock, both of which are expressed as noises. The dynamics of the model can help us understand the effects of financial shocks on business cycle and improve our knowledge about financial business cycle. In the case of external shock, if the intensity of shock is less than some threshold value, the economic system behaves randomly periodically. If the intensity of shock is beyond the threshold value, the economic system will converge to a normalcy. In the case of internal shock, if the intensity of shock is less than some threshold value, the economic system behaves periodically as the case without shock. If the intensity of shock exceeds the threshold value, the economic system either behaves periodically or converges to a normalcy. It is uncertain. The case with both two kinds of shocks is more complicated. We find conditions of the intensities of shocks under which the economic system behaves randomly periodically or disorderly, or converges to normalcy. Discussions about the effects of financial shocks on the business cycle are presented.

    Citation: Zhenghui Li, Zhenzhen Wang, Zhehao Huang. Modeling Business Cycle with Financial Shocks Basing on Kaldor-Kalecki Model[J]. Quantitative Finance and Economics, 2017, 1(1): 44-66. doi: 10.3934/QFE.2017.1.44

    Related Papers:

    [1] Jagan Mohan Jonnalagadda . On a nabla fractional boundary value problem with general boundary conditions. AIMS Mathematics, 2020, 5(1): 204-215. doi: 10.3934/math.2020012
    [2] Lakhdar Ragoub, J. F. Gómez-Aguilar, Eduardo Pérez-Careta, Dumitru Baleanu . On a class of Lyapunov's inequality involving λ-Hilfer Hadamard fractional derivative. AIMS Mathematics, 2024, 9(2): 4907-4924. doi: 10.3934/math.2024239
    [3] Wei Zhang, Jifeng Zhang, Jinbo Ni . New Lyapunov-type inequalities for fractional multi-point boundary value problems involving Hilfer-Katugampola fractional derivative. AIMS Mathematics, 2022, 7(1): 1074-1094. doi: 10.3934/math.2022064
    [4] Jaganmohan Jonnalagadda, Basua Debananda . Lyapunov-type inequalities for Hadamard type fractional boundary value problems. AIMS Mathematics, 2020, 5(2): 1127-1146. doi: 10.3934/math.2020078
    [5] Shuqin Zhang, Lei Hu . The existence of solutions and generalized Lyapunov-type inequalities to boundary value problems of differential equations of variable order. AIMS Mathematics, 2020, 5(4): 2923-2943. doi: 10.3934/math.2020189
    [6] Dumitru Baleanu, Muhammad Samraiz, Zahida Perveen, Sajid Iqbal, Kottakkaran Sooppy Nisar, Gauhar Rahman . Hermite-Hadamard-Fejer type inequalities via fractional integral of a function concerning another function. AIMS Mathematics, 2021, 6(5): 4280-4295. doi: 10.3934/math.2021253
    [7] Jonas Ogar Achuobi, Edet Peter Akpan, Reny George, Austine Efut Ofem . Stability analysis of Caputo fractional time-dependent systems with delay using vector lyapunov functions. AIMS Mathematics, 2024, 9(10): 28079-28099. doi: 10.3934/math.20241362
    [8] Chantapish Zamart, Thongchai Botmart, Wajaree Weera, Prem Junsawang . Finite-time decentralized event-triggered feedback control for generalized neural networks with mixed interval time-varying delays and cyber-attacks. AIMS Mathematics, 2023, 8(9): 22274-22300. doi: 10.3934/math.20231136
    [9] Yitao Yang, Dehong Ji . Properties of positive solutions for a fractional boundary value problem involving fractional derivative with respect to another function. AIMS Mathematics, 2020, 5(6): 7359-7371. doi: 10.3934/math.2020471
    [10] Tingting Guan, Guotao Wang, Haiyong Xu . Initial boundary value problems for space-time fractional conformable differential equation. AIMS Mathematics, 2021, 6(5): 5275-5291. doi: 10.3934/math.2021312
  • The effects of financial factors on real business cycle is rising to one of the most popular discussions in the field of macro business cycle theory. The objective of this paper is to discuss the features of business cycle under financial shocks by quantitative technology. More precisely, we introduce financial shocks into the classical Kaldor-Kalecki business cycle model and study dynamics of the model. The shocks include external shock and internal shock, both of which are expressed as noises. The dynamics of the model can help us understand the effects of financial shocks on business cycle and improve our knowledge about financial business cycle. In the case of external shock, if the intensity of shock is less than some threshold value, the economic system behaves randomly periodically. If the intensity of shock is beyond the threshold value, the economic system will converge to a normalcy. In the case of internal shock, if the intensity of shock is less than some threshold value, the economic system behaves periodically as the case without shock. If the intensity of shock exceeds the threshold value, the economic system either behaves periodically or converges to a normalcy. It is uncertain. The case with both two kinds of shocks is more complicated. We find conditions of the intensities of shocks under which the economic system behaves randomly periodically or disorderly, or converges to normalcy. Discussions about the effects of financial shocks on the business cycle are presented.


    The well-known classical Lyapunov inequality [15] states that, if u is a nontrivial solution of the Hill's equation

    u(t)+q(t)u(t)=0, a<t<b, (1.1)

    subject to Dirichlet-type boundary conditions:

    u(a)=u(b)=0, (1.2)

    then

    ba|q(t)|dt>4ba, (1.3)

    where q:[a,b]R is a real and continuous function.

    Later, in 1951, Wintner [24], obtained the following inequality:

    baq+(t)dt>4ba, (1.4)

    where q+(t)=max{q(t),0}.

    A more general inequality was given by Hartman and Wintner in [12], that is known as Hartman Wintner-type inequality:

    ba(ta)(bt)q+(t)dt>ba, (1.5)

    Since maxt[a,b](ta)(bt)=(ba)24, then, (1.5) implies (1.4).

    The Lyapunov inequality and its generalizations have many applications in different fields such in oscillation theory, asymptotic theory, disconjugacy, eigenvalue problems.

    Recently, many authors have extended the Lyapunov inequality (1.3) for fractional differential equations [1,2,3,4,5,6,7,8,9,10,11,12,13,15,18,20,22,23,24]. For this end, they substituted the ordinary second order derivative in (1.1) by a fractional derivative or a conformable derivative. The first result in which a fractional derivative is used instead of the ordinary derivative in equation (1.1), is the work of Ferreira [6]. He considered the following two-point Riemann-Liouville fractional boundary value problem

    Dαa+u(t)+q(t)u(t)=0, a<t<b, 1<α2
    u(a)=u(b)=0.

    And obtained the Lyapunov inequality:

    ba|q(t)|dt>Γ(α)(4ba)α1.

    Then, he studied in [7], the Caputo fractional differential equation

    CDαa+u(t)+q(t)u(t)=0, a<t<b, 1<α2

    under Dirichlet boundary conditions (1.2). In this case, the corresponding Lyapunov inequality has the form

    ba|q(t)|dt>ααΓ(α)((α1)(ba))α1.

    Later Agarwal and Özbekler in [1], complimented and improved the work of Ferreira [6]. More precisely, they proved that if u is a nontrivial solution of the Riemann-Liouville fractional forced nonlinear differential equations of order α(0,2]:

    Dαa+u(t)+p(t)|u(t)|μ1u(t)+q(t)|u(t)|γ1u(t)=f(t), a<t<b,

    satisfying the Dirichlet boundary conditions (1.2), then the following Lyapunov type inequality

    (ba[p+(t)+q+(t)]dt)(ba[μ0p+(t)+γ0q+(t)+|f(t)|]dt)>42α3Γ2(α)(ba)2α2.

    holds, where p, q, f are real-valued functions, 0<γ<1<μ<2, μ0=(2μ)μμ/(2μ)22/(μ2) and γ0=(2γ)γγ/(2γ)22/(γ2).

    In 2017, Guezane-Lakoud et al. [11], derived a new Lyapunov type inequality for a boundary value problem involving both left Riemann-Liouville and right Caputo fractional derivatives in presence of natural conditions

    CDαbDβa+u(t)+q(t)u(t)=0, a<t<b, 0<α,β1
    u(a)=Dβa+u(b)=0, 

    then, they obtained the following Lyapunov inequality:

    ba|q(t)|dt>(α+β1)Γ(α)Γ(β)(ba)α+β1.

    Recently, Ferreira in [9], derived a Lyapunov-type inequality for a sequential fractional right-focal boundary value problem

    CDαa+Dβa+u(t)+q(t)u(t)=0, a<t<b
    u(a)=Dγa+u(b)=0, 

    where 0<α,β,γ1, 1<α+β2, then, they obtained the following Lyapunov inequality:

    ba(bs)α+βγ1|q(t)|dt>1C,

    where

    C=(ba)γmax{Γ(βγ+1)Γ(α+βγ)Γ(β+1),1αβΓ(α+β)(Γ(βγ+1)Γ(α+β1)Γ(α+βγ)Γ(β))α+β1α1, with α<1}

    Note that more generalized Lyapunov type inequalities have been obtained for conformable derivative differential equations in [13]. For more results on Lyapunov-type inequalities for fractional differential equations, we refer to the recent survey of Ntouyas et al. [18].

    In this work, we obtain Lyapunov type inequality for the following mixed fractional differential equation involving both right Caputo and left Riemann-Liouville fractional derivatives

    CDαbDβa+u(t)+q(t)u(t)=0, a<t<b, (1.6)

    satisfying the Dirichlet boundary conditions (1.2), here 0<βα1, 1<α+β2, CDαb denotes right Caputo derivative, Dβa+ denotes the left Riemann-Liouville and q is a continuous function on [a,b].

    So far, few authors have considered sequential fractional derivatives, and some Lyapunov type inequalities have been obtained. In this study, we place ourselves in a very general context, in that in each fractional operator, the order of the derivative can be different. Such problems, with both left and right fractional derivatives arise in the study of Euler-Lagrange equations for fractional problems of the calculus of variations [2,16,17]. However, the presence of a mixed left and right Caputo or Riemann-Liouville derivatives of order 0<α<1 leads to great difficulties in the study of the properties of the Green function since in this case it's given as a fractional integral operator.

    We recall the concept of fractional integral and derivative of order p>0. For details, we refer the reader to [14,19,21]

    The left and right Riemann-Liouville fractional integral of a function g are defined respectively by

    Ipa+g(t)=1Γ(p)tag(s)(ts)1pds,Ipbg(t)=1Γ(p)btg(s)(st)1pds.

    The left and right Caputo derivatives of order p>0, of a function g are respectively defined as follows:

    CDpa+g(t)=Inpa+g(n)(t),CDpbg(t)=(1)nInpbg(n)(t),

    and the left and right Riemann-Liouville fractional derivatives of order p>0, of a function g\ are respectively defined as follows:

    Dpa+g(t)=dndtn(Inpa+g)(t),Dpbg(t)=(1)ndndtnInpbg(t),

    where n is the smallest integer greater or equal than p.

    We also recall the following properties of fractional operators. Let 0<p<1, then:

    1- IpCa+Dpa+f(t)=f(t)f(a).

    2- IpCbDpbf(t)=f(t)f(b).

    3- (Ipa+c)(t)=c(ta)pΓ(p+1),cR

    4- Dpa+u(t)=CDpa+u(t), when u(a)=0.

    5- Dpbu(t)=CDpbu(t), when u(b)=0.

    Next we transform the problem (1.6) with (1.2) to an equivalent integral equation.

    Lemma 1. Assume that 0<α,β1. The function u is a solution to the boundary value problem (1.6) with (1.2) if and only if u satisfies the integral equation

    u(t)=baG(t,r)q(r)u(r)dr, (2.1)

    where

    G(t,r)=1Γ(α)Γ(β)(inf{r,t}a(ts)β1(rs)α1ds
    (ta)β(ba)βra(bs)β1(rs)α1ds) (2.2)

    is the Green's function of problem (1.6) with (1.2).

    Proof. Firstly, we apply the right side fractional integral Iαb to equation (1.6), then the left side fractional integral Iβa+ to the resulting equation and taking into account the properties of Caputo and\Riemann-Liouville fractional derivatives and the fact that Dβa+u(t)=CDβa+u(t), we get

    u(t)=Iβa+Iαbq(t)u(t)+c(ta)βΓ(β+1). (2.3)

    In view of the boundary condition u(b)=0, we get

    c=Γ(β+1)(ba)βIβa+Iαbq(t)u(t)t=b.

    Substituting c in (2.3), it yields

    u(t)=Iβa+Iαbq(t)u(t)(ta)β(ba)βIβa+Iαbq(t)u(t)t=b=1Γ(α)Γ(β)ta(ts)β1(bs(rs)α1q(r)u(r)dr)ds(ta)βΓ(α)Γ(β)(ba)βba(bs)β1(bs(rs)α1q(r)u(r)dr)ds.

    Finally, by exchanging the order of integration, we get

    u(t)=1Γ(α)Γ(β)ta(ra(ts)β1(rs)α1ds)q(r)u(r)dr+1Γ(α)Γ(β)bt(ta(ts)β1(rs)α1ds)q(r)u(r)dr(ta)βΓ(α)Γ(β)(ba)βba(ra(bs)β1(rs)α1ds)q(r)u(r)dr,

    thus

    u(t)=baG(t,r)q(r)u(r)dr,

    with

    G(t,r)=1Γ(α)Γ(β){ra(ts)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds,artb,ta(ts)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds,atrb.

    that can be written as

    G(t,r)=1Γ(α)Γ(β)(inf{r,t}a(ts)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds).

    Conversely, we can verify that if u satisfies the integral equation (2.1), then u is a solution to the boundary value problem (1.6) with (1.2). The proof is completed.

    In the next Lemma we give the property of the Green function G that will be needed in the sequel.

    Lemma 2. Assume that 0<βα1,1<α+β2, then the Green function G(t,r) given in (2.2) of problem (1.6) with (1.2) satisfies the following property:

    |G(t,r)|1Γ(α)Γ(β)(α+β1)(α+β)(α(ba)(β+α))α+β1,

    for all artb.

    Proof. Firstly, for artb, we have G(t,r)0. In fact, we have

    G(t,r)=1Γ(α)Γ(β)(ra(ts)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds)1Γ(α)Γ(β)(ra(bs)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds)
    =1Γ(α)Γ(β)(1(ta)β(ba)β)ra(bs)β1(rs)α1ds0 (2.4)

    in addition,

    G(t,r)1Γ(α)Γ(β)(ra(rs)β1(rs)α1ds(ra)β(ba)βra(bs)β1(rs)α1ds)1Γ(α)Γ(β)((ra)α+β1(α+β1)(ra)β(ba)βra(ba)β1(rs)α1ds)
    =1Γ(α)Γ(β)((ra)α+β1(α+β1)(ra)β+αα(ba)). (2.5)

    Thus, from (2.4) and (2.5), we get

    0G(t,r)h(r), artb, (2.6)

    where

    h(s):=1Γ(α)Γ(β)((sa)α+β1(α+β1)(sa)β+αα(ba)),

    it is clear that h(s)0, for all s[a,b].

    Now, for atrb, we have

    G(t,r)=1Γ(α)Γ(β)(ta(ts)β1(rs)α1ds(ta)β(ba)βra(bs)β1(rs)α1ds)1Γ(α)Γ(β)(ta(ts)β1(ts)α1ds(ta)β(ba)ra(rs)α1ds)=1Γ(α)Γ(β)((ta)α+β1(α+β1)(ta)β(ra)αα(ba))
    1Γ(α)Γ(β)((ta)α+β1(α+β1)(ta)β+αα(ba))=h(t). (2.7)

    On the other hand,

    G(t,r)1Γ(α)Γ(β)(ra)α1ta(ts)β1ds(ta)β(ba)βra(rs)β1(rs)α1ds)1Γ(α)Γ(β)((ta)α(ta)ββ(ba)(ta)β(ba)β(ra)α+β1(α+β1))1Γ(α)Γ(β)((ta)α+ββ(ba)(ta)β(ra)α1(α+β1))1Γ(α)Γ(β)((ta)α+ββ(ba)(ta)α+β1(α+β1)),

    since βα, we get

    G(t,r)h(t), atrb. (2.8)

    From (2.7) and (2.8) we obtain

    |G(t,r)|h(t), atrb. (2.9)

    Finally, by differentiating the function h, it yields

    h(s)=1Γ(α)Γ(β)(sa)α+β2(1(β+α)(sa)α(ba)).

    We can see that h(s)=0 for s0=a+α(ba)(β+α)(a,b), h(s)<0 for s>s0 and h(s)>0 for s<s0. Hence, the function h(s) has a unique maximum given by

    maxs[a,b]h(s)=h(s0)=1Γ(α)Γ(β)((α(ba)(β+α))α+β1(α+β1)(α(ba)(β+α))β+αα(ba))=1Γ(α)Γ(β)(α+β1)(α+β)(α(ba)(β+α))α+β1.

    From (2.6) and (2.9), we get |G(t,r)|h(s0), from which the intended result follows.

    Next, we state and prove the Lyapunov type inequality for problem (1.6) with (1.2).

    Theorem 3. Assume that 0<βα1 and 1<α+β2. If the fractional boundary value problem (1.6) with (1.2) has a nontrivial continuous solution, then

    ba|q(r)|drΓ(α)Γ(β)(α+β1)(α+β)α+β(α(ba))α+β1. (2.10)

    Proof. Let X=C[a,b] be the Banach space endowed with norm ||u||=maxt[a,b]|u(t)|. It follows from Lemma 1 that a solution uX to the boundary value problem (1.6) with (1.2) satisfies

    |u(t)|ba|G(t,r)||q(r)||u(r)|druba|G(t,r)|q(r)dr,

    Now, applying Lemma 2 to equation (2.1), it yields

    |u(t)|1Γ(α)Γ(β)(α+β1)(α+β)(α(ba)(β+α))α+β1uba|q(r)|dr

    Hence,

    u(α(ba))α+β1Γ(α)Γ(β)(α+β1)(α+β)α+βuba|q(r)|dr,

    from which the inequality (2.10) follows. Note that the constant in (2.10) is not sharp. The proof is completed.

    Remark 4. Note that, according to boundary conditions (1.2), the Caputo derivatives CDαb and  CDβa+ coincide respectively with the Riemann-Liouville derivatives Dαb and Dβa+. So, equation (1.6) is reduced to the one containing only Caputo derivatives or only Riemann-Liouville derivatives, i.e.,

    CDαCbDβa+u(t)+q(t)u(t)=0, a<t<b

    or

    DαbDβa+u(t)+q(t)u(t)=0, a<t<b

    Furthermore, by applying the reflection operator (Qf)(t)=f(a+bt) and taking into account that QCDαa+=CDαbQ and QCDβb=CDβa+Q (see [21]), we can see that, the boundary value problem (1.6) with (1.2) is equivalent to the following problem

    CDαa+Dβbu(t)+q(t)u(t)=0, a<t<b,
    u(a)=u(b)=0.

    Remark 5. If we take α=β=1, then the Lyapunov type inequality (2.3) is reduced to

    ba|q(t)|dt4ba.

    The authors thank the anonymous referees for their valuable comments and suggestions that improved this paper.

    All authors declare no conflicts of interest in this paper.

    [1] Alpanda S, Aysun U (2014) International transmission of financial shocks in an estimated DSGE model. J Int Money Financ 47: 21-55. doi: 10.1016/j.jimonfin.2014.04.007
    [2] Arnold L (1998) Random Dynamical Systems. Springer.
    [3] Bashkirtseva I, Ryashko L, Sysolyatina A (2016) Analysis of stochastic effects in Kaldor-type business cycle discrete model. Commun Nonlinear Sci Numer Simulat 36: 446-456. doi: 10.1016/j.cnsns.2015.12.020
    [4] ChangW, Smyth DJ (1972) The existence and persistence of cycles in a nonlinear model: Kaldor's 1940 model reexamined. Rev Econ Stud 38: 37-44.
    [5] Christiano L, Motto R, Rostagno M (2007) Financial factors in business cycles. Northwestern University Working Paper.
    [6] Claessens S, Kose MA, Terrones ME (2012) How do business and financial cycles interact? J Int Econ 87: 178-190. doi: 10.1016/j.jinteco.2011.11.008
    [7] Crauel H, Gundlach M (1999) Stochastic Dynamics. Springer.
    [8] De Cesare L, Sportelli M (2012) Fiscal policy lags and income adjustment processes. Chaos, Solitons Fractals 45: 433-438. doi: 10.1016/j.chaos.2011.10.013
    [9] Grasman J,Wentzel JJ (1994) Co-Existence of a limit cycle and an equilibrium in Kaldor's business cycle model and it's consequences. J Econ Behav Organ 24: 369-377. doi: 10.1016/0167-2681(94)90043-4
    [10] Huang Z, Liu Z (2016) Random traveling wave and bifurcations of asymptotic behaviors in the stochastic KPP equation driven by dual noises. J Differ Equ 261: 1317-1356. doi: 10.1016/j.jde.2016.04.003
    [11] Iacoviello M (2015) Financial business cycles. Rev Econ Dyn 18: 140-163. doi: 10.1016/j.red.2014.09.003
    [12] Jerman U, Quadrini V (2012) Macroeconomic effects of financial shocks. Am Econ Rev 102: 238-271.
    [13] Kaddar A, Talibi Alaoui H (2008) Hopf bifurcation analysis in a delayed Kaldor-Kalecki model of business cycle. Nonlinear Anal: Model Control 13: 439-449.
    [14] Kaddar A, Talibi Alaoui H (2009) Local Hopf Bifurcation and Stability of Limit Cycle in a Delayed Kaldor-Kalecki Model. Nonlinear Anal: Model Control 14: 333-343.
    [15] Kaldor N (1940) A model of the trade cycle. Econ J 50: 78-92. doi: 10.2307/2225740
    [16] Kalecki M (1935) A macrodynamic theory of business cycle. Econom 3: 327-344. doi: 10.2307/1905325
    [17] Kalecki M (1937) A theory of the business cycle. Rev Stud 4: 77-97.
    [18] Kamber G, Thoenissen C (2013) Financial exposure and the international transmission of financial shocks. J Money, Credit Bank 45: 127-158 doi: 10.1111/jmcb.12073
    [19] Krawiec A, Szydłowski M (1999) The Kaldor-Kalecki business cycle model. Ann Oper Res 89: 89-100. doi: 10.1023/A:1018948328487
    [20] Kollmann R (2013) Global banks, financial shocks, and international business cycles: Evidence from an estimated model. J Money, Credit Bank 45: 159-195. doi: 10.1111/jmcb.12074
    [21] Kynes JM (1936) The General Theory of Employment, Interest Money. Macmillan Cambridge University Press.
    [22] Luca D, Lombardo G (2009) Financial frictions, financial integration and the international propagation of shocks. Econ Policy 27: 321-359.
    [23] Liao X, Li C, Zhou S (2005) Hopf bifurcation and chaos in macroeconomic models with policy lag. Chaos, Solitons Fractals 25: 91-108. doi: 10.1016/j.chaos.2004.09.075
    [24] Mimir Y (2016) Financial intermediaries, credit shocks and business cycles. Oxf Bul Econ Stat 78: 42-74. doi: 10.1111/obes.12099
    [25] Mircea G, Neamt¸u M, Opris¸ D (2011) The Kaldor-Kalecki stochastic model of business cycle. Nonlinear Anal: Model Control 16: 191-205.
    [26] Øksendal B (2000) Stochastic Differential Equations: An Introduction with Applications. Springer.
    [27] Øksendal B, Våge G, Zhao H (2001) Two properties of stochastic KPP equations: ergodicity and pathwise property. Nonlinearity 14: 639-662. doi: 10.1088/0951-7715/14/3/311
    [28] Szydłwski M, Krawiec A, Toboła J (2001) Nonlinear oscillations in business cycle model with time lags. Chaos, Solitons Fractals 12: 505-517. doi: 10.1016/S0960-0779(99)00207-6
    [29] Szydłwski M, Krawiec A (2001) The Kaldor-Kalecki Model of business cycle as a twodimensional dynamical system. J Nonlinear Math Phys 8: 266-271. doi: 10.2991/jnmp.2001.8.s.46
    [30] Szydłwski M, Krawiec A (2005) The stability problem in the Kaldor-Kalecki business cycle model. Chaos, Solitons Fractals 25: 299-305. doi: 10.1016/j.chaos.2004.11.012
    [31] Varian HR (1979) Catastrophe theory and the business cycle. Econ Inq 17: 14-28. doi: 10.1111/j.1465-7295.1979.tb00293.x
    [32] Wang L,Wu X (2009) Bifurcation analysis of a Kaldor-Kalecki model of business cycle with time delay. Electron J Qual Theory Differ Eq 27: 1-20.
    [33] Wu X (2012) Zero-Hopf bifurcation analysis of a Kaldor-Kalecki model of business cycle with delay. Nonlinear Anal: Real World Appl 13: 736-754. doi: 10.1016/j.nonrwa.2011.08.013
    [34] Zhang C, Wei J (2004) Stability and bifurcation analysis in a kind of business cycle model with delay. Chaos, Solitons Fractals 22: 883-896. doi: 10.1016/j.chaos.2004.03.013
  • This article has been cited by:

    1. Aidyn Kassymov, Berikbol T. Torebek, Lyapunov-type inequalities for a nonlinear fractional boundary value problem, 2021, 115, 1578-7303, 10.1007/s13398-020-00954-9
    2. Jie Wang, Shuqin Zhang, A Lyapunov-Type Inequality for Partial Differential Equation Involving the Mixed Caputo Derivative, 2020, 8, 2227-7390, 47, 10.3390/math8010047
  • Reader Comments
  • © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5867) PDF downloads(1568) Cited by(12)

Figures and Tables

Figures(5)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog