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Ramsey’s Conjecture in a Stochastically Growing Economy

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Abstract

Becker (1980) confirms Ramsey’s conjecture (Ramsey 1928) in a discrete-time model by proving that the most patient individuals own the entire capital of the economy, while others consume their wage income in the long-run.

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Notes

  1. 1.

    This is to simplify the analysis of aggregate behavior. Since all individuals face the uncertainties having the same properties, the individual behavior does not change if we assume aggregate shocks instead of idiosyncratic shocks.

  2. 2.

    The main results obtained in what follows remain unchanged for the case with an arbitrary number of types of individuals.

  3. 3.

    For detailed treatment of “ecursive utility, see Duffie and Esptein (1992).

  4. 4.

    For a detailed discussion on the roles of these parameters, see, for example, Kreps and Porteus (1978, 1979), Epstein and Zin (1989, 1991), Weil (1989), and Obstfeld (1994a, b).

  5. 5.

    This paper analyzes the individual’s behavior in the limit as h becomes infinitesimally small. When \(\gamma =1/\varepsilon \), then (4.4) implies that, as \(h\rightarrow 0\), V(t) becomes the standard setup of discounted sum of utilities, i.e., \(V_{i} (t)=E_{t} \left[ {(1-\gamma _{i} )^{-1}\int _t^\infty {c_{i} (t)^{1-\gamma _{i} }e^{-\rho _{i} (s-t)}ds} } \right] \).

  6. 6.

    The inequalities (4.9) and (4.10) constitute the feasibility condition, and, in turn, impose the parameter restrictions. See also footnote 7.

  7. 7.

    In order to ensure the optimality of the proposed consumption rule in (4.15), the feasibility and transversality conditions must be imposed. The feasibility requires that both consumption and capital be positive, i.e., \(0<u_{i} <1\). The transversality condition that guarantees the convergence of value function is \(\varepsilon _{i} (\gamma _{i} -1)[A-{\gamma _{i} (\sigma A)^{2}}/2]+\varepsilon _{i} (\rho _{i} -\gamma _{i})+1>0\). (See, for example, Smith 1996a, b, and Stokey and Lucas 1989.) Although some restrictions are required on such parameters as A, \(\varepsilon _{i} \), \(\gamma _{i} \), \(\rho _{i} \) and \(\sigma \), the analysis remains valid even under the restrictions.

  8. 8.

    Putting it the other way around, the conjecture remains true as long as the elasticity of the most patient individuals is not smaller than that of others.

  9. 9.

    Using a deterministic model, Nakamura (2014) shows the same proposition.

References

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Acknowledgements

The author would like to thank Professors Kentaro Iwatsubo, Tetsugen Haruyama, Daishin Yasui and seminar participants at the Kobe University. The financial support of Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (15K03431 and 17K18564) is gratefully acknowledged. The usual disclaimer applies.

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Correspondence to Tamotsu Nakamura .

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Appendix

Appendix

Applying Ito’s lemma to the maximization of \(V_{i} (t)\) in (4.4), we get the following stochastic Bellman equation:

$$\begin{aligned} 0= & {} \max \limits _{c_{i}}\{ [(1-\gamma _i )/(1-1/\varepsilon _i)]c_i^{1-1/\varepsilon _i} -\rho _if([1-\gamma _i]J_i(k_i))\nonumber \\+ & {} (1-\gamma _i)f'([1-\gamma _i]J_i(k_i)) [ J_i'(k_i)(Ak_i-c_i)+(1/2)J_i"(k_i)(\sigma A k_i)^2 ]\}. \end{aligned}$$
(4.32)

From (4.32), the first-order condition for \(c_{i} \)is

$$\begin{aligned} c_{i}^{-1/\varepsilon _{i}}=f'([1-\gamma _{i}]J_{i}(k_{i}))J_{i}'(k_{i}). \end{aligned}$$
(4.33)

Equation (4.4) suggests that \(J_{i} (k_{i} )\) takes the following form:

$$\begin{aligned} J_i(k_i)=(b_ik_i)^{1-\gamma _i}/(1-\gamma _i), \end{aligned}$$
(4.34)

where \(b_{i} \) is a positive constant to be determined. Now, (4.33) becomes

$$\begin{aligned} c_{i} =u_{i} k_{i}~~with~~ u_{i} =b_{i}^{1-\varepsilon _{i} }. \end{aligned}$$
(4.35)

Substitution of (4.34) and (4.35) into (4.32) gives

$$\begin{aligned} u_{i}=A-\varepsilon _{i}(A-\rho _{i})-\frac{(1-\varepsilon _{i} )\gamma _{i} (\sigma _{i} A)^{2}}{2}, \end{aligned}$$
(4.36)

and therefore,

$$\begin{aligned} b_{i}=\left[ A-\varepsilon _i(A-\rho _i)-\frac{(1-\varepsilon _i)\gamma _{i} (\sigma _{i} A)^2}{2}\right] ^{1/(1-\varepsilon _i)}. \end{aligned}$$
(4.37)

Substitution of (4.37) into (4.35) gives the following consumption function:

$$\begin{aligned} c_{i} =u_{i}k_{i}=\left[ A-\varepsilon _{i}(A_{i} -\rho _{i})-\frac{(1-\varepsilon _{i} )\gamma _{i}(\sigma _{i} A)^{2}}{2}\right] k_{i} . \end{aligned}$$
(4.38)

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Nakamura, T. (2019). Ramsey’s Conjecture in a Stochastically Growing Economy. In: Hosoe, M., Ju, BG., Yakita, A., Hong, K. (eds) Contemporary Issues in Applied Economics. Springer, Singapore. https://doi.org/10.1007/978-981-13-7036-6_4

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