We model local inflation dynamics using global inflation and domestic slack motivated by a novel interpretation of the implications of the workhorse open-economy New Keynesian model. We evaluate the performance of inflation forecasts based on the single-equation forecasting specification implied by the model, exploiting the spatial pattern of international linkages underpinning global inflation. We find that incorporating crosscountry interactions yields significantly more accurate forecasts of local inflation for a diverse group of 14 advanced countries (including the U.S.) than either a simple autoregressive model or a standard closed-economy Phillips curve-based forecasting model. We argue that modelling the temporal dimension-but not the crosscountry spillovers-of inflation does limit a model's explanatory power in-sample and its (pseudo) out-of-sample forecasting performance. Moreover, we also show that global inflation (without domestic slack) often contributes the most to achieve the gains on forecasting accuracy observed during our sample period (1984:Q1-2015:Q1)-this observation, according to theory, is crucially related to the flattening of the Phillips curve during this time period of increased globalization.

We model local inflation dynamics using global inflation and domestic slack motivated by a novel interpretation of the implications of the workhorse open-economy New Keynesian model. We evaluate the performance of inflation forecasts based on the single-equation forecasting specification implied by the model, exploiting the spatial pattern of international linkages underpinning global inflation. We find that incorporating crosscountry interactions yields significantly more accurate forecasts of local inflation for a diverse group of 14 advanced countries (including the U.S.) than either a simple autoregressive model or a standard closedeconomy Phillips curve-based forecasting model. We argue that modelling the temporal dimension-but not the crosscountry spillovers-of inflation does limit a model's explanatory power in-sample and its (pseudo) out-of-sample forecasting performance. Moreover, we also show that global inflation (without domestic slack) often contributes the most to achieve the gains on forecasting accuracy observed during our sample period (1984:Q1-2015:Q1)-this observation, according to theory, is crucially related to the flattening of the Phillips curve during this time period of increased globalization.

During the 2011–2015 period, Turkey's current account deficit as a percentage of gross domestic product (GDP) was one of the largest among the Organization for Economic Co‐operation and Development countries. In this paper, we examine if this deficit can be considered optimal using the Engel and Rogers's approach. In this framework, the current account of a country is determined by the expected discounted present value of its future share of world GDP relative to its current share. A country whose income is anticipated to rise relative to the rest of the world is expected to borrow now and run a current account deficit. Our findings suggest that Turkey's current account deficit in 2015 may be considered optimal if the Turkish economy's share in the world economy could continue to grow at rates similar to the past or to the predictions from professional forecasts. The same approach, however, indicates that the current account deficit in 2011, at its peak, was unlikely to be optimal. (JEL F32, F41, F43)

We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll's (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides advantages in terms of speed and accuracy over Howard's policy improvement algorithm. Codes are available.

We investigate empirically the inflation dynamics in New Zealand, a small open economy and a pioneer in inflation targeting, under various open-economy Phillips curve specifications. Our forecasting exercise suggests that open-economy Phillips curves under standard measures of global slack do not help forecast domestic inflation, possibly indicating measurement problems with global slack itself. In turn, under a stable inflation target we still find that (i) global inflation and (ii) global inflation and oil prices have information content for headline CPI and core CPI inflation over the 1997:Q3-2015:Q1 period and appear to be reliable proxies for global slack in forecasting inflation.