Output gap uncertainty: Does it matter for the Taylor rule?

This paper analyses the effect of measurement error in the output gap on efficient monetary policy rules in a simple estimated model of the US economy. While it is a well-known result that such additive uncertainty does not affect the optimal feedback rule in a linear-quadratic framework, it is shown that output gap uncertainty can have a significant effect on the efficient response coefficients in restricted instrument rules such as the popular Taylor rule. Output gap uncertainty reduces the response to the current estimated output gap relative to current inflation and may partly explain why the parameters in estimated Taylor rules are often much less than what optimal control exercises which assume the state of the economy is known suggest. First version received: September 2000/Final version received: February 2001     

Monetary control uncertainty and inflation bias

This paper offers an alternative explanation for the occurrence of an inflation bias with and without an output goal exceeding natural output. A monetary game model is developed from which an inflation bias emerges because the policymaker increases money growth in order to avoid a recession due to a possible negative control error. Whereas higher additive instrument uncertainty increases the inflation bias, higher multiplicative uncertainty decreases it. Delegating monetary policy to an independent and conservative central banker decreases the inflation bias for all types of control errors.     

Are economic growth and the variability of the business cycle related? Evidence from five European countries

We use a long series of annual data that span over 100 years to examine the relationship between output growth and its uncertainty in five European countries. Using the GARCH methodology to proxy uncertainty, we obtain two important results. First, more uncertainty about output leads to a higher rate of growth in three of the five countries. Second, output growth reduces its uncertainty in all countries except one. Our results are robust to alternative specifications and provide strong support to the recent emphasis by macroeconomists on the joint examination of economic growth and the variability of the business cycle.     

不确定性、通货膨胀与产出增长

基于中国1952—2004年的数据,通过GARCH-M模型和广义脉冲响应函数对不确定性、通货膨胀与产出增长进行实证分析。结果发现:通货膨胀不确定性与产出增长负相关;产出增长不确定性与产出增长负相关;产出增长不确定性与通货膨胀正相关;通货膨胀不确定性与通货膨胀负相关;产出增长冲击和通货膨胀冲击对产出增长不确定性和通货膨胀不确定性的影响存在滞后性和非对称性;产出增长对产出增长冲击的动态响应最大,通货膨胀对产出增长冲击的动态响应以及产出增长对通货膨胀冲击的动态响应最小,通货膨胀对通货膨胀冲击的动态响应居中。     

Risk taking with additive and multiplicative background risks

We examine the effects of background risks on optimal portfolio choice. Examples of background risks include uncertain labor income, uncertainty about the terminal value of fixed assets such as housing and uncertainty about future tax liabilities. While some of these risks are additive and have been amply studied, others are multiplicative in nature and have received far less attention. The simultaneous effect of both additive and multiplicative risks has hitherto not received attention and can explain some paradoxical choice behavior. We rationalize such behavior and show how background risks might lead to seemingly U-shaped relative risk aversion for a representative investor.     

REGIME DEPENDENT EFFECT OF OUTPUT GROWTH ON OUTPUT GROWTH UNCERTAINTY: EVIDENCE FROM OECD COUNTRIES

This paper studies the impact of output growth on output growth uncertainty by considering two important issues hitherto not properly and adequately addressed to in the existing empirical studies specifying this relationship. These are: (i) the possible existence of a threshold level of output growth, and the consequent identification of two regimes characterized by high and low output growth, and (ii) whether or not the coefficient capturing the causal link is different in these two output growth states. This paper proposes a regime switching model to study this asymmetric effect for 16 OECD countries. Based on monthly time‐series observations, our results strongly support that the impact varies significantly between the two output growth regimes with the coefficient in the high growth regime being negative for majority of the countries.     

Is there a role for uncertainty in forecasting output growth in OECD countries? Evidence from a time-varying parameter-panel vector autoregressive model

This paper uses a time-varying parameter-panel vector autoregressive (TVP-PVAR) model to analyze the role played by domestic and US news-based measures of uncertainty in forecasting the growth of industrial production of 12 Organisation for Economic Co-operation and Development (OECD) countries. Based on a monthly out-of-sample period of 2009:06 to 2017:05, given an in-sample of 2003:03 to 2009:05, there are only 46% of cases where domestic uncertainty can improve the forecast of output growth relative to a baseline monetary TVP-PVAR model, which includes inflation, interest rate and nominal exchange rate growth, besides output growth. Moreover, including US uncertainty does not necessarily improve the forecasting performance of output growth from the TVP-PVAR model which includes only the domestic uncertainty along with the baseline variables. So, in general, while uncertainty is important in predicting the future path of output growth in the 12 advanced economies considered, a forecaster can do better in majority of the instances by just considering the information from standard macroeconomic variables.     

Some Implications of Uncertainty in a Small Open Economy

Consider a small open economy which produces two commodities, the first a consumers' good and the second a producers' good, by means of a conventional no-joint-products technology. Suppose that one of the two production functions is subject to a random multiplicative disturbance and that factors of production must be allocated to the two industries before the realization of the random variable. It is known that if in the absence of uncertainty production is incompletely specialized then the same is true under uncertainty although the average output of the uncertain industry is lower. In the present paper we suppose that each of the two production functions is subject to a random multiplicative disturbance but restrict our attention to three particular cases: the polar cases of perfect correlation, positive and negative, and the intermediate case of zero correlation. It is shown that in none of these cases does there exist an obvious and complete analogue of the above proposition but that in each case something definite can be said, either about the possibility of complete specialization under uncertainty or about the effect of uncertainty on the allocation of factors (but not about both).     

Real-sector parameter instability and the optimal choice of monetary policy

In this paper we consider the effects of uncertainty upon the optimum choice of monetary policy instrument. Specifically we extend the work of Poole (1970), and others, to allow for the existence of multiplicative as well as additive stochastic coefficients in the structural equations of the standard IS-LM macroeconomic model. We demonstrate that the commonly accepted notion that money-stock control is superior to interest-rate control when the IS schedule is stochastic is not always valid.     

Induced-Value Tests of Contingent Valuation Elicitation Mechanisms

Using an induced-value experimental design that varies whether values for a “good” are certain or uncertain and whether payment is real or hypothetical, this study investigates issues of demand revelation, hypothetical bias, and value uncertainty for four elicitation mechanisms used in contingent valuation surveys: dichotomous choice, dichotomous choice with follow-up certainty question, payment card, and multiple-bounded discrete choice. For all elicitation mechanisms, we find no evidence of hypothetical bias: voting decisions do not vary systematically when payment is hypothetical versus when it is real. Under all design conditions we find the fewest deviations between stated and induced values and the strongest evidence of demand revelation with dichotomous choice. Stated uncertainty in dichotomous choice follow-up and multiple-bounded discrete choice questions does correlate with uncertain induced values, but the signal is noisy. We discuss the implications of our findings for the design of contingent valuation surveys.     

Is British output growth related to its uncertainty? Evidence using eight centuries of data

We examine the empirical relationship between output variability and output growth for Britain using data for eight centuries covering the 1270 to 2014 period. Drawing on the economic history literature, we split the full sample period into four subperiods and use GARCH models to measure output growth uncertainty and estimate its effect on average growth. Within each sub-sample, we allow output growth to depend on the state of the system, for example 2-regime switching model would switch between high-growth and low-growth regimes. We find that the effect of uncertainty on growth differs depending on the existing growth regime. Low-growth regimes are associated with a negative effect of uncertainty on growth, and medium or high-growth regimes are associated with a positive effect. These findings are consistent across the four states of economic development. Our results indicate why the empirical literature to date has found mixed results when examining the effect of uncertainty on growth.     

Economic uncertainty,monetary uncertainty and the Korean demand for money

Economic uncertainty and monetary uncertainty are said to affect public’s holding of money in either direction. In this paper, we consider the Korean demand for money, and after including two GARCH-based measures of output uncertainty and monetary uncertainty, we show that both measures exert significant effects on the demand for money in Korea in the short run. However, only the adverse effects of output uncertainty lasts into the long run. Indeed, including the two uncertainty measures yield a stable demand for money in Korea.     

Multiplicative uncertainty in a model without inflationary bias

This paper shows that an increase in the degree of multiplicative uncertainty regarding the effectiveness of monetary policy will reduce social loss when policymaker’s preferences are highly uncertain. This result is still valid even when there is no distortion in the market.     

Policy uncertainty,symbiosis, and the optimal fiscal and monetary conservativeness

This paper extends a well-known macroeconomic stabilization game between monetary and fiscal authorities developed by Dixit and Lambertini (American Economic Review 93: 1522–1542) to multiplicative (policy) uncertainty. We find that even if fiscal and monetary authorities share a common output and inflation target (i.e., the symbiosis assumption), the achievement of the common targets is no longer guaranteed; under multiplicative uncertainty, in fact, a time consistency problem arises unless policymakers’ output target is equal to the natural level.     

利益分配、战略行动与集体选择的不确定性

爱因斯坦说,时间是一种错觉;普利高津则说,确定性是一种错觉。而文章认为,均衡也是一种错觉:集体选择的结果存在内生的不确定性。基于个体战略行动的多样性,文章从利益分配的角度对集体选择的不确定性作出了理论上的证明。认识到集体选择的不确定性特征对于理解社会的运行以及设计与社会控制相关的制度规章都具有重要的意义。     

RISKY PRODUCTION WITH EX-ANTE PRICES UNDER MONOPOLY ANALYTICAL AND SIMULATION RESULTS

This paper concerns the case of a monopolist facing multiplicative uncertainty in demand. Karlin and Carr (1962), henceforth KC, show that, when price and production are both chosen ex ante , the uncertainty price exceeds the certainty price. They also give a sufficient condition under which the firm locates above the certainty demand curve, but they do not consider the effect on the output level. In this note we replicate the KC results and then go further. In the special case that the price elasticity of certainty demand is constant, and the probability distribution for the uncertainty parameter in the demand function is uniform, output is unambiguously lower under uncertainty, and KC's condition for the firm to locate above the certainty demand curve can be strengthened to one that is both necessary and sufficient. The robustness of these results is tested under less stringent assumptions on demand, abandoning symmetry for a lognormal distribution of the uncertainty parameter. Simulation confirms that the results hold up, and also determines the effects upon the firm's decisions of an increase in demand uncertainty.     

A Generalized Exactly Additive Decomposition of Aggregate Labor Productivity Growth

Aggregate labor productivity (ALP) growth—i.e., growth of output per unit of labor—may be decomposed into additive contributions due to within‐sector productivity growth effect, dynamic structural reallocation effect (Baumol effect), and static structural reallocation effect (Denison effect) of cross‐sectional components (e.g., industry or region) of output and labor. This paper implements ALP growth decomposition that is “generalized” to output in constant prices and to output in chained prices (i.e., chained volume measure or CVM) and “exactly additive” since with either output the sum of contributions exactly equals “actual” ALP growth. It compares this “generalized exactly additive” decomposition (GEAD) to the “traditional” (TRAD) ALP growth decomposition devised for output in constant prices. The results show GEAD and TRAD are exactly additive when output is in constant prices, but GEAD is exactly additive while TRAD is not when output is in CVM. Also, GEAD components are empirically purer than or analytically superior to those from TRAD. Moreover, considering that contributions to ALP growth can be classified by industry or region each year over many years, GEAD provides a more well‐grounded picture over time of industrial or regional transformation than TRAD. Therefore, GEAD should replace TRAD in practice.     

Monetary policy design and transmission asymmetry in EMU: Does uncertainty matter?

In this paper, we consider how uncertainty affects the choice between federal monetary policy based on national and union-wide aggregate data under conditions of asymmetry in the transmission of monetary policy. We find that the uncertainty about the transmission process sustains (and, in some cases, even reinforces) the need to take into account information about national economies in the formulation of monetary policy. Also the forecasting process matters when uncertainty is additive: in particular, when union-wide forecasting is more accurate than national-based forecasting, this advantage can compensate for the welfare loss from using union-wide aggregation. There is, however, a strong case for using national information in the optimal design of common monetary policy.     

Preference uncertainty in contingent valuation

In this paper, the results of empirical studies that applied two widely used methods - numerical certainty scale (NCS) and polychotmous choice (PC) - for estimating preference uncertainty adjusted willingness to pay (WTP) in contingent valuation (CV), are summarized. For this review, a number of conclusions are reached. First, there is a lack of consensus about which method is more appropriate for measuring preference uncertainty. Second, although preference uncertainty information has been found useful in detecting the incidence of hypothetical bias in CV studies, a consensus about a standard certainty threshold (or treatment mechanism) at which hypothetical behaviour converges to real behaviour is yet to emerge. Third, insufficient empirical evidence exists about the causal relationship between preference uncertainty scores and the theoretically expected explanatory variables. Finally, the preference uncertainty adjusted PC and NCS models fail to provide a consistent and more efficient welfare estimate compared to the conventional dichotomous choice certainty model.     

Output Variability and Economic Growth: the Japanese Case

We examine the empirical relationship between output variability and output growth using quarterly data for the 1961–2000 period for the Japanese economy. Using three different specifications of GARCH models, namely, Bollerslev's model, Taylor/Schwert's model, and Nelson's EGARCH model, we obtain two important results. First, we find robust evidence that the “in‐mean” coefficient is not statistically significant. This evidence is consistent with Speight's (1999) analysis of UK data and implies that output variability does not affect output growth. In other words, this finding supports several real business cycle theories of economic fluctuations. Second, we find no evidence of asymmetry between output variability and growth, a result consistent with Hamori (2000) .