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41.
How should monetary policy respond to a “global liquidity trap,” where the two countries may fall into a liquidity trap simultaneously? Using a two-country New Open Economy Macroeconomics model, we first characterize optimal monetary policy, and show that the optimal rate of inflation in one country is affected by whether or not the other country is in a liquidity trap. We next examine how well the optimal monetary policy is approximated by relatively simple monetary policy rules. The interest-rate rule targeting the producer price index performs well in this respect.  相似文献   
42.
    
Cross section data are used to test two types of regional growth models: the demand and the supply based models. While the demand based model explained twice as much of the interregional variations in growth rates as did the supply model, we found that the basic element of the supply model, factor mobility, contributes significantly to the determination of regional growth. A model combining both demand and supply is developed and fitted tothe data. The performance of this model as judged by goodness of fit and dynamic simulations is remarkable. Long-run implications are derived from dynamic simulations.  相似文献   
43.
    
Recent empirics report that transport cost reductions significantly contribute to rapidly growing world trade. This article develops a reciprocal market model of intra-industry trade with transboundary pollution from consumption to consider how market integration in the form of transport cost reductions affects the noncooperative choice of an environmental policy and the equilibrium welfare. I show that market integration can improve welfare locally, but that welfare under any non-prohibitive trade cost can not be higher than welfare under autarky. This possibility of trade losses exhibits a sharp contrast to the case of production-generated pollution.  相似文献   
44.
We explore what causes business cycles by analyzing the Japanese industrial production data. The methods used are spectral analysis and factor analysis. Using the random matrix theory, we show that two largest eigenvalues are significant. Taking advantage of the information revealed by disaggregated data, we identify the first dominant factor as the aggregate demand, and the second factor as inventory adjustment. They cannot be reasonably interpreted as technological shocks. We also demonstrate that in terms of two dominant factors, shipments lead production by four months. Furthermore, out-of-sample test demonstrates that the model holds up even under the 2008–2009 recession. Because a fall of output during 2008–2009 was caused by an exogenous drop in exports, it provides another justification for identifying the first dominant factor as the aggregate demand. All the findings suggest that the major cause of business cycles is real demand shocks.  相似文献   
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