“…In the other extreme, as the "free" parameter goes to infinity the response asymptotically approaches the certainty equivalence (CE) solution in both cases. Moreover, the response of the control to reductions in the "free" parameter is always more cautious in the benevolent case as opposed to the response in Gonzalez and Rodriguez (2003). Finally, nature switches from a malevolent character to a benevolent one as the "free" parameter moves from the right side onto the left side of the discontinuity observed in Gonzalez and Rodriguez (2003).…”
Section: Introductionmentioning
confidence: 85%
“…Gonzalez and Rodriguez (2003) found that the control variable (u k ) response is characterized by hyperbolic shapes as shown in Figure 2.…”
Section: Benevolent Casementioning
confidence: 97%
“…It is important to note that θ has a negative sign in the criterion function of the min-max problem posed in Gonzalez and Rodriguez (2003). In the next section, we show that it is precisely in the positive sign of θ in Equation (3.4) that: i) the policy maker's problem given by Equations (3.4)-(3.7) becomes an ordinary optimal control problem, and ii) this gives way to a benevolent "nature" -i.e.…”
Section: Benevolent Casementioning
confidence: 99%
“…Moreover, we show that the set up in Gonzalez and Rodriguez (2003) corresponds to a malevolent nature. The benevolent and malevolent cases are compared and contrasted.…”
Section: Introductionmentioning
confidence: 98%
“…Section 4 associates the benevolent case with a minimum and the malevolent case with a saddle point. Section 5 provides a numerical example to compare and contrast the benevolent case to the malevolent one in Gonzalez and Rodriguez (2003). Section 6 presents the concluding remarks.…”
In this paper an analytical framework similar to a robust control problem was developed for the one-state, one-control variable model to examine the response of the control to changes in the "free" parameter. However, in contrast to Gonzalez and Rodriguez (2003), the sign multiplying the "free" parameter in the criterion function of the min-max problem is positive. We find that this set up corresponds to the case where nature is benevolent while the problem posed by Gonzalez and Rodriguez (2003) corresponds to a malevolent nature. We show that for the benevolent case, the solution is a minimum giving way to an ordinary control problem. In addition, the left side of the discontinuity in Gonzalez and Rodriguez (2003) corresponds to the benevolent case.
“…In the other extreme, as the "free" parameter goes to infinity the response asymptotically approaches the certainty equivalence (CE) solution in both cases. Moreover, the response of the control to reductions in the "free" parameter is always more cautious in the benevolent case as opposed to the response in Gonzalez and Rodriguez (2003). Finally, nature switches from a malevolent character to a benevolent one as the "free" parameter moves from the right side onto the left side of the discontinuity observed in Gonzalez and Rodriguez (2003).…”
Section: Introductionmentioning
confidence: 85%
“…Gonzalez and Rodriguez (2003) found that the control variable (u k ) response is characterized by hyperbolic shapes as shown in Figure 2.…”
Section: Benevolent Casementioning
confidence: 97%
“…It is important to note that θ has a negative sign in the criterion function of the min-max problem posed in Gonzalez and Rodriguez (2003). In the next section, we show that it is precisely in the positive sign of θ in Equation (3.4) that: i) the policy maker's problem given by Equations (3.4)-(3.7) becomes an ordinary optimal control problem, and ii) this gives way to a benevolent "nature" -i.e.…”
Section: Benevolent Casementioning
confidence: 99%
“…Moreover, we show that the set up in Gonzalez and Rodriguez (2003) corresponds to a malevolent nature. The benevolent and malevolent cases are compared and contrasted.…”
Section: Introductionmentioning
confidence: 98%
“…Section 4 associates the benevolent case with a minimum and the malevolent case with a saddle point. Section 5 provides a numerical example to compare and contrast the benevolent case to the malevolent one in Gonzalez and Rodriguez (2003). Section 6 presents the concluding remarks.…”
In this paper an analytical framework similar to a robust control problem was developed for the one-state, one-control variable model to examine the response of the control to changes in the "free" parameter. However, in contrast to Gonzalez and Rodriguez (2003), the sign multiplying the "free" parameter in the criterion function of the min-max problem is positive. We find that this set up corresponds to the case where nature is benevolent while the problem posed by Gonzalez and Rodriguez (2003) corresponds to a malevolent nature. We show that for the benevolent case, the solution is a minimum giving way to an ordinary control problem. In addition, the left side of the discontinuity in Gonzalez and Rodriguez (2003) corresponds to the benevolent case.
We first explore empirical evidence of parameter and shock uncertainties in a state-space model with Markov switching. The evidence indicates that uncertainties in the U.S. economy have been too great to accurately define monetary policy rules. We then explore monetary policy rules under uncertainty with two approaches: the RLS learning algorithm and robust control. The former allows the parameters to be learned for a given model. Yet, as our results of the RLS learning in a framework of optimal control indicate, the state variables do not necessarily converge even in a nonstochastic model. The latter, by permitting uncertainty with respect to model misspecification, allows for a broader framework. Our study on robust control shows that robust optimal monetary policy rules reveal a stronger response to fluctuations in inflation and output than when no uncertainty exists, implying that uncertainty does not necessarily require caution.
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