This Online Appendix reports detailed results on the inflation forecasting horserace conducted by Duncan and Martínez-García (2022). The tables of results found here complement the evidence and are explained/contextualized in that paper. The dataset that we use here is exactly the same covering a sample of 18 countries (

In contrast to industrialized countries, emerging market economies are characterized by proor acyclical monetary policies and high output volatility. This paper argues that those facts can be related to a long-run feature of the economy -namely, its institutional quality (IQL). The paper presents evidence that supports the link between an index of IQL (law and order, government stability, investment profile, etc.), and (i) the cyclicality of monetary policy, and (ii) the volatilities of output and the nominal interest rate. In a DSGE model, foreign investors that choose a portfolio of direct investment and lending to domestic agents, face a probability of partial confiscation which works as a proxy that captures IQL. The economy is hit by external shocks to demand for home goods and productivity shocks while its central bank seeks to stabilize inflation and output. In the long run, a lower IQL tends to discourage external liabilities. If there is a positive external demand shock, we observe an increase in output and real appreciation. The latter operates through two opposite channels. First, it directly increases the opportunity cost of leisure generating incentives to expand labor supply. Second, it reduces the real value of the debt denominated in foreign currency which stimulates consumption but contracts the labor supply. If the IQL is low, the economy attracts fewer loans for domestic consumers and shows a lower debt-to-consumption ratio in the steady state. This implies that the reduction of the real value of the debt caused by the real appreciation is smaller. Given this low wealth effect, the real appreciation leads to an expansion of the labor supply. Wages drop and inflation diminishes. The central bank reacts by cutting its policy rate to stabilize inflation and generates a negative comovement between output and the nominal interest rate (procyclical policy). As a corollary, negative correlations between policy rates and output are not necessarily an indicator of destabilizing polices even in the presence of demand shocks.

Monetary and fiscal policy, cyclical stance, policy rules,

The literature has argued that developing countries are unable to adopt counter-cyclical monetary and fiscal policies due to financial imperfections and unfavorable politicaleconomy conditions. Using a world sample of 115 industrial and developing countries for 1984-2008, we find that the level of institutional quality plays a key role in countries' ability to implement counter-cyclical macroeconomic policies. The results show that countries with strong (weak) institutions adopt counter-(pro-) cyclical macroeconomic policies, reflected in extended monetary policy and fiscal policy rules. The threshold level of institutional quality at which monetary and fiscal policies are a-cyclical is found to be similar.

No abstract

This paper provides both theoretical insight as well as empirical evidence in support of the view that inflation is largely a global phenomenon. First, we show that inflation across countries incorporates a significant common factor captured by global inflation. Second, we show that in theory a role for global inflation in local inflation dynamics emerges over the business cycle even without common shocks, and under flexible exchange rates and complete international asset markets. Third, we identify a strong "error correction mechanism" that brings local inflation rates back in line with global inflation which explains the relative success of inflation forecasting models based on global inflation (e.g., Ciccarelli and Mojon (2010). Fourth, we argue that the workhorse New Open Economy Macro (NOEM) model of Martínez-García and Wynne (2010) can be approximated by a finiteorder VAR and estimated using Bayesian techniques to forecast domestic inflation incorporating all relevant linkages with the rest of the world. This NOEM-BVAR provides a tractable model of inflation determination that can be tested empirically in forecasting. Finally, we use pseudo-out-of-sample forecasts to assess the NOEM-BVAR at different horizons (1 to 8 quarters ahead) across 17 OECD countries using quarterly data over the period 1980Q1-2014Q4. In general, we find that the NOEM-BVAR model produces a lower root mean squared prediction error (RMSPE) than its competitors-which include most conventional forecasting models based on domestic factors and also the recent models based on global inflation. In a number of cases, the gains in smaller RMSPEs are statistically significant. The NOEM-BVAR model is also accurate in predicting the direction of change for inflation, and often better than its competitors along this dimension too. JEL codes: E31, F41, F42, F47

In contrast to industrialized countries, emerging market economies are characterized by proor acyclical monetary policies and high output volatility. This paper argues that those facts can be related to a long-run feature of the economy-namely, its institutional quality (IQL). The paper presents evidence that supports the link between an index of IQL (law and order, government stability, investment profile, etc.), and (i) the cyclicality of monetary policy, and (ii) the volatilities of output and the nominal interest rate. In a DSGE model, foreign investors that choose a portfolio of direct investment and lending to domestic agents, face a probability of partial confiscation which works as a proxy that captures IQL. The economy is hit by external shocks to demand for home goods and productivity shocks while its central bank seeks to stabilize inflation and output. In the long run, a lower IQL tends to discourage external liabilities. If there is a positive external demand shock, we observe an increase in output and real appreciation. The latter operates through two opposite channels. First, it directly increases the opportunity cost of leisure generating incentives to expand labor supply. Second, it reduces the real value of the debt denominated in foreign currency which stimulates consumption but contracts the labor supply. If the IQL is low, the economy attracts fewer loans for domestic consumers and shows a lower debt-to-consumption ratio in the steady state. This implies that the reduction of the real value of the debt caused by the real appreciation is smaller. Given this low wealth effect, the real appreciation leads to an expansion of the labor supply. Wages drop and inflation diminishes. The central bank reacts by cutting its policy rate to stabilize inflation and generates a negative comovement between output and the nominal interest rate (procyclical policy). As a corollary, negative correlations between policy rates and output are not necessarily an indicator of destabilizing polices even in the presence of demand shocks.

We use a broad-range set of inflation models and pseudo out-of-sample forecasts to assess their predictive ability among 14 emerging market economies (EMEs) at different horizons (1 to 12 quarters ahead) with quarterly data over the period 1980Q1-2016Q4. We find, in general, that a simple arithmetic average of the current and three previous observations (the RW-AO model) consistently outperforms its standard competitors-based on the root mean squared prediction error (RMSPE) and on the accuracy in predicting the direction of change. These include conventional models based on domestic factors, existing open-economy Phillips curve-based specifications, factor-augmented models, and time-varying parameter models. Often, the RMSPE and directional accuracy gains of the RW-AO model are shown to be statistically significant. Our results are robust to forecast combinations, intercept corrections, alternative transformations of the target variable, different lag structures, and additional tests of (conditional) predictability. We argue that the RW-AO model is successful among EMEs because it is a straightforward method to downweight later data, which is a useful strategy when there are unknown structural breaks and model misspecification.