53,797 research outputs found
Monetary discretion, pricing complementarity and dynamic multiple equilibria
In a plain-vanilla New Keynesian model with two-period staggered price-setting, discretionary monetary policy leads to multiple equilibria. Complementarity between the pricing decisions of forward-looking firms underlies the multiplicity, which is intrinsically dynamic in nature. At each point in time, the discretionary monetary authority optimally accommodates the level of predetermined prices when setting the money supply because it is concerned solely about real activity. Hence, if other firms set a high price in the current period, an individual firm will optimally choose a high price because it knows that the monetary authority next period will accommodate with a high money supply. Under commitment, the mechanism generating complementarity is absent: the monetary authority commits not to respond to future predetermined prices. Multiple equilibria also arise in other similar contexts where (i) a policymaker cannot commit, and (ii) forward-looking agents determine a state variable to which future policy respond. JEL Klassifikation: E5, E61, D7
Monetary Discretion, Pricing Complementarity and Dynamic Multiple Equilibria
In a plain-vanilla New Keynesian model with two-period staggered price-setting, discretionary monetary policy leads to multiple equilibria. Complementarity between the pricing decisions of forward-looking firms underlies the multiplicity, which is intrinsically dynamic in nature. At each point in time, the discretionary monetary authority optimally accommodates the level of predetermined prices when setting the money supply because it is concerned solely about real activity. Hence, if other firms set a high price in the current period, an individual firm will optimally choose a high price because it knows that the monetary authority next period will accommodate with a high money supply. Under commitment, the mechanism generating complementarity is absent: the monetary authority commits not to respond to future predetermined prices. We compute a traditional inflation bias equilibrium, in which price-setters are optimistic, rationally expecting small adjustments by other firms. But there is another steady-state equilibrium in which price setters are pessimistic and inflation is much higher. Further, we find that there are multiple equilibria at a point in time, not just in steady states. In a stochastic setting with equilibrium selection each period determined by an i.i.d. sunspot, there is greater inflation bias on average than if price-setters were always optimistic. The sunspot realization also has real effects: periods of higher than average inflation are accompanied by low output. Thus, increased real volatility may be an additional cost of discretion in monetary policy.
Inflation targeting in a St. Louis model of the 21st century
Federal Reserve Bank of St. Louis ; Inflation (Finance)
Monetary discretion, pricing complementarity and dynamic multiple equilibria
In a plain-vanilla New Keynesian model with two-period staggered price-setting, discretionary monetary policy leads to multiple equilibria. Complementarity between pricing decisions of forward-looking firms underlies the multiplicity, which is intrinsically dynamic in nature. At each point in time, the discretionary monetary authority optimally accommodates the level of predetermined prices when setting the money supply because it is concerned solely about real activity. Hence, if other firms set a high price in the current period, an individual firm will optimally choose a high price because it knows that the monetary authority next period will accommodate with a high money supply. Under commitment, the mechanism generating complementarity is absent: the monetary authority commits not to respond to future predetermined prices. Multiple equilibria also arise in other similar contexts where (i) a policymaker cannot commit, and (ii) forward-looking agents determine a state variable to which future policy responds. JEL Classification: E5, E61, D78complementarity, discretion, monetary policy, Multiple Equilibria, time-consistency
Monetary Discretion, Pricing Complementarity and Dynamic Multiple Equilibria
In a plain-vanilla New Keynesian model with two-period staggered price-setting, discretionary monetary policy leads to multiple equilibria. Complementarity between the pricing decisions of forward-looking firms underlies the multiplicity, which is intrinsically dynamic in nature. At each point in time, the discretionary monetary authority optimally accommodates the level of predetermined prices when setting the money supply because it is concerned solely about real activity. Hence, if other firms set a high price in the current period, an individual firm will optimally choose a high price because it knows that the monetary authority next period will accommodate with a high money supply. Under commitment, the mechanism generating complementarity is absent: the monetary authority commits not to respond to future predetermined prices. Multiple equilibria also arise in other similar contexts where (i) a policymaker cannot commit, and (ii) forward-looking agents determine a state variable to which future policy responds.Monetary Policy, Discretion, Time-Consistency, Multiple Equilibria, Complementarity
Locally accurate MPS approximations for ground states of one-dimensional gapped local Hamiltonians
A key feature of ground states of gapped local 1D Hamiltonians is their
relatively low entanglement --- they are well approximated by matrix product
states (MPS) with bond dimension scaling polynomially in the length of the
chain, while general states require a bond dimension scaling exponentially. We
show that the bond dimension of these MPS approximations can be improved to a
constant, independent of the chain length, if we relax our notion of
approximation to be more local: for all length- segments of the chain, the
reduced density matrices of our approximations are -close to those of
the exact state. If the state is a ground state of a gapped local Hamiltonian,
the bond dimension of the approximation scales like ,
and at the expense of worse but still scaling of
the bond dimension, we give an alternate construction with the additional
features that it can be generated by a constant-depth quantum circuit with
nearest-neighbor gates, and that it applies generally for any state with
exponentially decaying correlations. For a completely general state, we give an
approximation with bond dimension , which is exponentially
worse, but still independent of . Then, we consider the prospect of
designing an algorithm to find a local approximation for ground states of
gapped local 1D Hamiltonians. When the Hamiltonian is translationally
invariant, we show that the ability to find -accurate local
approximations to the ground state in time implies the ability to
estimate the ground state energy to precision in time.Comment: 24 pages, 3 figures. v2: Theorem 1 extended to include construction
for general states; Lemma 7 & Theorem 2 slightly improved; figures added;
lemmas rearranged for clarity; typos fixed. v3: Reformatted & additional
references inserte
PrAGMATiC: a Probabilistic and Generative Model of Areas Tiling the Cortex
Much of the human cortex seems to be organized into topographic cortical
maps. Yet few quantitative methods exist for characterizing these maps. To
address this issue we developed a modeling framework that can reveal
group-level cortical maps based on neuroimaging data. PrAGMATiC, a
probabilistic and generative model of areas tiling the cortex, is a
hierarchical Bayesian generative model of cortical maps. This model assumes
that the cortical map in each individual subject is a sample from a single
underlying probability distribution. Learning the parameters of this
distribution reveals the properties of a cortical map that are common across a
group of subjects while avoiding the potentially lossy step of co-registering
each subject into a group anatomical space. In this report we give a
mathematical description of PrAGMATiC, describe approximations that make it
practical to use, show preliminary results from its application to a real
dataset, and describe a number of possible future extensions
Motion of a vortex line near the boundary of a semi-infinite uniform condensate
We consider the motion of a vortex in an asymptotically homogeneous
condensate bounded by a solid wall where the wave function of the condensate
vanishes. For a vortex parallel to the wall, the motion is essentially
equivalent to that generated by an image vortex, but the depleted surface layer
induces an effective shift in the position of the image compared to the case of
a vortex pair in an otherwise uniform flow. Specifically, the velocity of the
vortex can be approximated by ,
where is the distance from the center of the vortex to the wall, is
the healing length of the condensate and is the mass of the boson.Comment: submitted to Phys Rev
Non-Volatile Magnonic Logic Circuits Engineering
We propose a concept of magnetic logic circuits engineering, which takes an
advantage of magnetization as a computational state variable and exploits spin
waves for information transmission. The circuits consist of magneto-electric
cells connected via spin wave buses. We present the result of numerical
modeling showing the magneto-electric cell switching as a function of the
amplitude as well as the phase of the spin wave. The phase-dependent switching
makes it possible to engineer logic gates by exploiting spin wave buses as
passive logic elements providing a certain phase-shift to the propagating spin
waves. We present a library of logic gates consisting of magneto-electric cells
and spin wave buses providing 0 or p phase shifts. The utilization of phases in
addition to amplitudes is a powerful tool which let us construct logic circuits
with a fewer number of elements than required for CMOS technology. As an
example, we present the design of the magnonic Full Adder Circuit comprising
only 5 magneto-electric cells. The proposed concept may provide a route to more
functional wave-based logic circuitry with capabilities far beyond the limits
of the traditional transistor-based approach
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