DO INTERNATIONAL MONETARY FUND PROGRAMS IMPACT ON THE SACRIFICE RATIO?

From time to time, the International Monetary Fund (IMF) makes resources available to member states for short‐term balance‐of‐payments support under an agreed arrangement know as a program. Most IMF programs include quantitative performance criteria for key macroeconomic variables, which borrowers must meet to obtain Fund resources. Standard open economy models predict that if policymakers are able to credibly commit to reducing inflation, rational economic agents will lower their expectations of inflation and, therefore, the trade‐off between inflation and output will fall. The present study tests whether IMF programs, by lending credibility to a country's adjustment program, influence the inflation–output trade‐off. The results from the study suggest that IMF programs do not significantly influence the inflation–output trade‐off. This finding is robust to changes in the estimation approach, the method used to obtain the output gap estimates and outliers.     

Revisiting the Phillips curve for Indonesia: What can we learn from regional data?

This study seeks new empirical evidence of the Phillips curve in Indonesia, an emerging and geographically diversified economy. There are three important contributions from this research. First, applying panel econometric method to exploit regional variation, the study resolves the issue of using on-target national inflation rates that potentially causes weakening inflation-output link. Second, the research examines the relevance of mining industry for output gap measurement at regional level. Third, it highlights the differences in the Phillips curve between the west and east regions owing to their different underlying economic structures. Our estimation using regional data support the validity of the Phillips curve relationship in Indonesia. Backward-looking inflation expectations, exchange rate dynamics and international prices also significantly affect inflation. In addition, the effect of output gap on inflation is larger if the mining sector is excluded from output gap measurement. Finally, we find apparent differences between the west and the eastern regions in the slope of Phillips curve, as well as in the degree of inflation persistence and exchange rate pass-through. The results are robust to alternative specification. Our study adds significantly to the empirical literature on the Phillips curve and have meaningful policy implications.     

Convergence and transitional dynamics of China's industrial output: A county-level study using a new framework of distribution dynamics analysis

Many scholars have argued that the huge increase in regional inequality in China can be attributed greatly to the disparity in industrialization. This paper contributes to the literature by providing empirical evidence on the transitional dynamics of industrial output by employing a new framework of distribution dynamics analysis, namely, the mobility probability plot (MPP), and a county-level database made up of counties and county-level cities. The new framework can address several inadequacies of the traditional display tools used in the distribution dynamics literature. Stochastic kernel analyses are performed for the nation, the economic zones, and the provinces individually so as to provide an in-depth understanding of the evolution and convergence of industrial output. This study fills the gap in the literature and provides information on mobility of the county-level units, which can greatly aid the policy making process.     

Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective

We employ panel data as well as country-specific models to uncover empirically the determinants of current account imbalances. We find evidence of slope heterogeneity likely rendering the fixed-effect estimator inconsistent. Mean group estimation is followed to overcome the latter difficulty. Both estimation techniques are evaluated by means of in- and out-of-sample criteria. The mean group estimator outperforms the fixed-effect approach and, moreover, only three economic variables are found to impact on the current account balance significantly. These are the government budget balance, the domestic output gap and the changes of the terms of trade. We finally propose a parsimonious dynamic model of the current account, including only these variables and illustrate that it has similar predictive accuracy as country-specific benchmark models. JEL no. F32, C23, C53     

Input–output coefficients in the evaluation of a scientific and technological component of the macrostructural forecasting

Approaches to the quantitative evaluation of technological development parameters based on input–output coefficients of the input–output table and possibilities of their application in the estimation of quantitative characteristics of scientific and technological forecasts have been considered. This work is a continuation of studies related to the assessment of the influence of the technological coefficient on the economic dynamics.     

Learning and Estimation of the New Keynesian Phillips Curve Models

The extant literature is split on the best measure of marginal cost in the New Keynesian Philips Curve, with the output gap and the labor share being the most commonly advocated proxy measures. Which one is the best measure? In this article, I assume that agents update their understanding and expectation period by period, a learning process. In terms of econometrics, I use a recursive Vector Autoregression approach and conduct a forecasting exercise that considers updating of information sets used for formation of expectation. I find that the traditional output gap measure is a more significant variable explaining the dynamics of the U.S. inflation rate, as compared with a measure of the labor income share. Furthermore, the role of the output gap cannot be replaced using lagged values of inflation. Instead, both the output gap and lags of the actual inflation rate are important determinants of inflation.     

Financial stability gap and private investment nexus: Evidence from sub-Saharan Africa

The illiquidity status of financial institutions widens up the financial stability gap, hence affecting other economic agents that depend on the financial sector. The objective of the study is to determine how the financial stability gap affects private investment in sub-Saharan Africa (SSA). Annual time series secondary data from 33 SSA countries for the period 2007–2018 was used. Using the general methods of moments (GMM) estimation technique, we found that the financial stability gap beyond 109.9% becomes detrimental to private sector investment while government effectiveness and investment by the government improve private investment. The study recommends that financial institutions undertake liquidity protection measures as a means of protecting the stability status, while SSA governments invest in the economy and provide the needed business environment for private sector investment.     

Spatial propagation of macroeconomic shocks in Europe

This paper implements a spatial vector autoregressive model that takes into account both the time and the spatial dimensions of economic shocks. We apply this framework to analyze the propagation through space and time of macroeconomic (inflation, output gap and interest rate) shocks in Europe. The empirical analysis identifies an economically and statistically significant spatial component in the transmission of macroeconomic shocks in Europe.     

THE SOUTH AFRICAN PHILLIPS CURVE: HOW APPLICABLE IS THE GORDON MODEL?

Is there a Phillips curve relationship present in South Africa and if so, what form does it take? Traditionally the method to establish whether or not there is a relationship between the output gap and the change in inflation is merely to regress the latter on the former. This yields the well‐known augmented Phillips curve. However, Gordon has argued that this specification of the Phillips curve produces biased results. Instead, he puts forward and estimates successfully for several industrialised countries his so‐called triangular model that tests for hysteresis and inertia in the behaviour of inflation, as well as the impact on inflation of changes in the output level. This paper considers whether or not Gordon's triangle model is applicable to South Africa, i.e. are hysteresis and inertia present in South Africa? In addition, in an attempt to find a better estimation of the output gap, the paper also experiments with alternative ways to estimate the long‐run output level, including the standard HP‐filter, as well as a production function approach.     

Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model

We build upon the most recent development in the literature and estimate a comprehensive set of univariate and bivariate Unobserved Components models to study the varying long-run growth rate and output gap of the Chinese economy for the period of 1952–2017. We find that the long-run growth rate varied substantially, and thus the growth cycles played an important role in the Chinese economy. Specifically, the long run growth rate accelerated since the late 70s, peaked in the early 90s, and since then has continuously declined except for several years right after China's entrance into the WTO. We also find that although the recent 4-trillion-Yuan economic stimulus package helped to sustain the economic growth temporarily it appeared to have accelerated the decline of the long run growth rate. We also find that the potential growth rate is estimated to be slightly above 8% as in 2017, but the output gap has become negative since 2015 and this recession at the business cycle frequency continuously deepened until the end of the sample.     

Revisiting the empirical existence of the Phillips curve for India

This paper revisits the empirical existence of the Phillips curve in the Indian context. To estimate the Phillips curve we need two variables: inflation and the output gap. In the case of India, incorrect measurement of both variables causes much difficulty in estimating the Phillips curve. We use a non-linear Kalman filter approach to estimate the output gap and find that the Kalman filter estimate captures all the dynamics of the economy. Our results show that after taking supply shocks into consideration, there is clear evidence as to the existence of the Phillips curve in India for recent years.     

Determinants of inflation in India

The paper attempts to identify the determinants of inflation in India in a multivariate econometric framework using quarterly data from Q1: 1996–1997 to Q3: 2013–2014. The identified determinants of domestic inflation such as crude oil prices, output gap, fiscal policy and monetary policy, and their relation with inflation is studied in a structural vector auto regression (SVAR) model. Further, the temporal changes in inflation dynamics are analyzed using a time varying parameter SVAR model with stochastic volatility. It was found that inflation dynamics in India have changed over time with various determinants showing significant time variation in the recent years, particularly after the global financial crisis.     

Ghostbusting: which output gap really matters?

Reflecting domestic demand pressures, the output gap has important implications for economic analysis. This paper assesses the usefulness of four commonly-used gap measures for a small set of European countries. The main results are that the policy implications can be very different depending on the gap measure and that, consequently, care should be exercised when employing any such measure. Moreover the paper investigates in a simple inflation forecasting framework the common assertion that the output gap could improve the forecasting accuracy. For annual observations, however, these measures rarely provide useful information and there is no single best measure across countries.     

Real exchange rate misalignment and business cycle fluctuations in the Asia-Pacific

Real exchange rate (RER) misalignment, which is the deviation between the actual real exchange rate from its equilibrium, occurs frequently among developing countries. Studies have shown that RER misalignment may have negative economic implications, such as a decline in economic growth, exports, and export diversification and an increased risk of currency crises and political instability. Using quarterly data for 22 sample countries from 1990 to 2018, this paper investigates the impact of RER misalignment on business cycles in the Asia-Pacific by employing a panel vector autoregression involving consumer price index (CPI) inflation, output gap, short-term interest rates, and RER misalignment. We find that RER overvaluation may reduce CPI inflation and short-term interest rates. We also find that the Asia-Pacific region is highly heterogeneous in that the output gaps of some countries, particularly from the Southeast Asian region, are more susceptible to RER misalignment shocks.     

Separating shocks from cyclicality in Indian aggregate supply

Simultaneity issues as well as incorrect measurement of shocks and of the cyclical variable bias estimated slopes of the Indian aggregate supply curve (AS). Our initial Generalised Method of Moments estimation, based on a filtered output gap variable and including supply shocks, also gives an unrealistic downward sloping AS. But we find measures of asymmetries in price changes outperform traditional measures of supply shocks. Estimation using marginal costs as a proxy for the output gap gives a positive coefficient that reduces in size on including our comprehensive supply shock variable, implying the correct AS has a small positive slope, but is subject to multiple shifts. The semi-structural specification, closer to firms’ actual decisions, gives estimates of structural parameters such as degree of price stickiness and extent of forward-looking price adjustment. The results more correctly separate shocks from cyclicality, help to interpret India's growth and inflation experience, and have implications for policy.     

The Small Open-Economy New Keynesian Phillips Curve: Empirical Evidence and Implied Inflation Dynamics

In this paper we apply GMM estimation to assess the relevance of domestic versus external determinants of CPI inflation dynamics in a sample of OECD countries typically classified as open economies. The analysis is based on a variant of the small open-economy New Keynesian Phillips Curve derived in Galí and Monacelli (Rev Econ Stud 72:707–734, 2005), where the novel feature is that expectations about fluctuations in the terms of trade enter explicitly. For most countries in our sample the expected relative change in the terms of trade emerges as the more relevant inflation driver than the contemporaneous domestic output gap.     

Measuring Potential Output for the South African Economy: Embedding Information About the Financial Cycle

Borio et al. show that information embedded in the financial cycle can serve to improve measures of potential output and output gaps. They show that incorporating information on the financial cycle yields measures of potential output and output gaps for the United States, United Kingdom and Spain that are estimated more precisely and are more robust in real time. With its well‐developed financial markets and relatively open capital markets, the South African economy is potentially susceptible to the build‐up of the sort of financial imbalances that characterised the recent financial crisis. Using the framework developed in Borio et al., a finance‐neutral measure of the output gap is estimated for South Africa. The traditional Hodrick–Prescott filter is extended to incorporate information on credit and property prices. Including financial cycle proxies result in output gaps that are estimated more precisely and are more robust to data revisions and the arrival of new data points (i.e. estimated output gaps are more robust in real time), while also reflecting the impact of financial variables on economic activity. As such, the estimated finance‐neutral output gap seems to represent a more appropriate measure on which to base monetary policy decisions.     

Estimating forward-looking rules for China's Monetary Policy: A regime-switching perspective

This paper introduces a regime-switching forward-looking Taylor rule to describe the monetary policy behavior and considers its estimation using a two-step MLE procedure due to Kim and Nelson (2006), Kim (2009) and Zheng and Wang (2010). By doing an empirical analysis on quarterly data for China over the period 1992–2010, our results show that the actual reactions of China's monetary policy can be well characterized by a two-regime forward-looking Taylor rule. Furthermore, it is also suggested that the interest rate policy in response to inflation and output gap is asymmetric, behaving a significant characteristic of regime-switching nonlinearity. Specifically, in the first regime the People's Bank of China targets inflation, but not focuses on the output gap; while in the second regime the central bank targets the output gap and the policy rule is not a stable framework.     

Multivariate model-based gap measures and a new Phillips curve for China

This paper examines empirically the Phillips curve relationship for the Chinese economy. We use quarterly data that go back to 1978 and employ a multivariate rather than univariate method in the construction of gap measures for inflation, money and output jointly with reliable error bands. Our empirical results show that the inflation gap and the output gap fit a New Phillips curve very well. We also find some structural change in the inflation–output trade-off.     

Technological catch-up or resource rents?

This paper studies contribution of capital deepening, technological progress and efficiency improvement to economic growth while focusing on cross-country data, and thus finds itself at the crossroads of growth and development accounting. We take a production frontier approach to growth accounting and choose DEA as the frontier estimation method. To explore the effects that windfall gains from natural resource use have on growth, output data are corrected for pure natural resource rents—part of GDP figures not earned by either labor or capital. Taking into account countries’ natural resources, we find that in the two decades from 1970 to 1990 the average contribution of technological catch-up to per worker output growth was, if anything, negative on the worldwide scale and this trend continued till the mid 1990ies. Analysis of efficiency estimates also shows a possible change over the period of 1970–1990 in the effect of natural resources on country’s performance