5 votes
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Differentiating Bellman equation

In a sense, the Bellman equation is a definition of $V(k)$, which might be more obvious if it's written $$ V(k):=\max_{0\leq k'\leq f\left(k\right)}u\left(f\left(k\right)-k'\right)+\beta V\left(k'\...
BrsG's user avatar
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5 votes
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Dynamic programming in infinite horizon model

There are two interrelated maximisation problems. The first is the infinite horizon maximisation problem: $$ \begin{align*} v(k) = &\max_{a_1, a_2, \ldots} \sum_{t = 0}^\infty \delta^t F(k_t, c_t),...
tdm's user avatar
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4 votes
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What is unknown in Bellman Equation?

The original problem was probably of the form $$\max_{\{W_t\}_{t=1}^\infty}\sum_{t=0}^\infty \beta^t u(W_t-W_{t+1}),$$ $$\mbox{s.t. } W_{t+1}\in[0,W_t] \ \forall \ t, ~~ W_0 \mbox{ given}$$ When ...
Regio's user avatar
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4 votes
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What is the difference between comma and plus in the bellman equation?

You should be careful about the way you wrote your two equations because the $\max$ operators are different. In the first equation, you maximize an objective function on a set, meaning you look for ...
GuiWil's user avatar
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Bellman Equation with Two Discount Factors

No. Consider the following problem: Each period, one total unit of consumption falls from the sky that can be distributed between the two agents in any way. Their per-period utility is simply how much ...
Michael Greinecker's user avatar
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Bellman equation corresponding to stochastic EZW recursive utility

What you have there are the preferences under an arbitrary policy -- what some call the prevalue function. The only thing missing is the max operator. Written with maximization (and making the state ...
penGuinKeeper's user avatar
3 votes
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What is the result of the Bellman Equation

...the result of applying sup operator is a NUMBER... Read it carefully. The equation is $$ v(x_0) = \sup_{ \{x_t \}_{t \geq 1}} \cdots \quad (1) $$ This defines a function $v$, called the value ...
Michael's user avatar
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Optimisation using value function

Starting with your original equation: $max_{c_t, m_t, b_t} E_0\sum_{t=0}^\infty U(c_t, m_t)$ s.t. (1) $y+\frac{m_{t-1}}{1+\pi_t}+\frac{1+i_{t-1}}{1+\pi_t}b_{t-1}=c_t+m_t+b_t+\tau_t$ Here: $R_{t-1} ...
Boaten's user avatar
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3 votes

Bellman equation for this dynamic programming problem

The "second" constraint appears redundant and it confuses matters. Re-arrange the first one to obtain $$\tilde{a}_{t+1} = \big[\tilde a_t+(1-\delta )Y_t-\tilde{c}_t\big]R_t$$ This tells us that ...
Alecos Papadopoulos's user avatar
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Bellman Equation & Envelope Theorem

The key thing to note here is that in the optimum, $c_t$ will depend on $k_t$. Thus, the value function is \begin{align} V(k_t, t) &= \max\{u(c_t) + \beta V(f(k_t) - c_t, t + 1)\}\\ &= u(c_t(...
Wittgenstein's Poker's user avatar
2 votes

When could value functions in Bellman equations be calculated explicitly?

As far as I know, the only method that works is to guess and verify: You guess the functional form of the value function $J(x)$ and verify that it indeed satisfies the Bellman equation. Of course, ...
tdm's user avatar
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Wealth in the utility function

Two points: As Richard Hardy points out in the comment, there is not really any depiction of wealth in the question. I am very curious which model this is. I can not think of any models that include ...
erik's user avatar
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2 votes
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Update of value function in continuous time - HJB

You iterate towards a fixed point, so you want to reach a situation where plugging in your current iterated value produces itself. Now using your notation, we are told that we should calculate $$V_{n+...
Alecos Papadopoulos's user avatar
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Optimal Stopping

I recommend the manuscript here by Lawrence Evans. The related example is described as 'Rocket Railroad Car'. The first instance is on pages 9-12 where a geometric solution is provided. The choice set ...
ramazan's user avatar
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2 votes
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Do policy functions exist for Finite Horizon Dynamic programming problems?

No, they cannot by definition. To derive a time-invariant policy function, you need to have an infinite horizon problem. This is because the structure of the solution remains the same, no matter when ...
ChinG's user avatar
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2 votes

Optimisation using value function

Thanks to @Boaten I was able to find the solution. For those interested here are the steps for deriving the Fisher relation: Combining the FOC $[b_{t}]$ and the envelope for $[b_{t-1}]$ we get $U_{...
user11767's user avatar
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2 votes

What is the probability of an unemployed worker receiving no job offer during a time period?

Unless I misunderstand the question these seem to be complementing events with probabilities $p$ and $1-p$.
Giskard's user avatar
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2 votes
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Non-trivial steady state

Let's guess that the value function is of the form $a + b \ln(k)$. Then substituting for $V(k) = a + b \ln(k)$ in the Bellman equation gives: $$ a + b \ln(k) = \max_{k'}\left(\ln(k^\alpha - k') + \...
tdm's user avatar
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2 votes
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Why do game theorists use a discounted payoff of this form?

In my experience, it's mainly just for cleanliness for results. Consider an infinite horizon repeated game, with discounted payoff representation (where I use $\delta = (1-\lambda)$ in your notation)...
Walrasian Auctioneer's user avatar
1 vote

More than one Bellman Equation

(The second equation for the value function of the unemployed should be $$ v(w,U)= \max \{v(w,E); \,u[c,1]+\beta\int v(w', U) dF(w')\}. \quad (*) $$ ) ...how do you know when your problem solution ...
Michael's user avatar
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1 vote

What is unknown in Bellman Equation?

What you want to maximize is the discounted stream of utility over time. To that end, you can set control variables over time (subject to some constraints, like technology, budget...). We are ...
Frederic Schneider's user avatar
1 vote
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Solution to the Bellman equation is a fixed point

I am by no means an expert on this, but maybe this helps. Here is a simple example for a bellman equation $V(y) = \max_x u(x,y) + \beta V(y')$ $s.t. \, y' = f(x,y)$ This is a functional equation in ...
Tobias's user avatar
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