A REVISIT TO THE STATIONARITY OF OECD INFLATION: EVIDENCE FROM PANEL UNIT‐ROOT TESTS AND THE COVARIATE POINT OPTIMAL TEST*

This paper re‐examines the stationarity of inflation rates in 19 Organisation for Economic Cooperation and Development countries with the use of cross‐sectional information. We employ the panel unit‐root tests that allow for cross‐sectional dependency and the covariate point optimal test. These tests have high power in common due to the exploitation of cross‐sectional information, and they can assist mutually to draw a concrete conclusion on inflation dynamics for all series in the panel. Our empirical results show that allowing for cross‐sectional dependency rejects the null hypothesis that all series in the panel have a unit root, implying that there is at least one stationary series in the panel. With the help of the results of the covariate test, we can distinguish the panel into a group of stationary and a group of non‐stationary series. For robustness, the two groups of series are re‐confirmed by the panel tests. Our results reveal evidence of mean reversion in inflation for 15 of 19 countries, which is significantly stronger as compared to that obtained by the state‐of‐the‐art univariate unit‐root tests.     

Consumer expectation and output growth: The case of China

This study shows that China’s Consumer Expectation Index contains useful information about pure expectation shocks, which are unrelated to economic fundamentals. It turns out that such shocks are likely to be an important independent driver of industrial output growth.     

Forecasting Canadian time series with the New Keynesian model

Abstract.  This paper assesses the out-of-sample forecasting accuracy of the New Keynesian Model for Canada. We estimate a variant of the model on a series of rolling subsamples, computing out-of-sample forecasts one to eight quarters ahead at each step. We compare these forecasts with those arising from vector autoregression (VAR) models, using econometric tests of forecasting accuracy. We show that the forecasting accuracy of the New Keynesian Model compares favourably with that of the benchmarks, particularly as the forecasting horizon increases. These results suggest that the model could become a useful forecasting tool for Canadian time series.     

Predicting Canadian recessions using dynamic probit modelling approaches

Abstract This paper examines the ability of various financial and macroeconomic variables to forecast Canadian recessions. It evaluates four model specifications, including the advanced dynamic, autoregressive, dynamic autoregressive probit models as well as the conventional static probit model. The empirical results highlight several significant recession predictors, notably the government bond yield spread, growth rates of the housing starts, the real money supply and the composite index of leading indicators. Both the in‐sample and out‐of‐sample results suggest that the forecasting performance of the four probit models is mixed. The dynamic and dynamic autoregressive probit models are better in predicting the duration of recessions while the static and autoregressive probit models are better in forecasting the peaks of business cycles. Hence, the advanced dynamic models and the conventional static probit model can complement one another to provide more accurate forecasts for the duration and turning points of business cycles.     

Political incentives and local government spending multiplier: Evidence for Chinese provinces (1978–2016)

This paper uses data from Chinese provinces to examine the effects of political incentives of provincial leaders on local government spending multipliers over the post-economic-reform period. The estimation based on the local projection method provides three novel findings. Firstly, the estimated cumulative relative government spending multiplier is well above unity, and it is greater in the period after 1994 compared with before 1994. Secondly, the political incentives of provincial leaders augment the local government spending multipliers, and the effects are highly significant after 1994. Thirdly, the economic boom strengthens the augmenting effects of political incentives after 1994.     

Financial crises and sudden stops: Was the European monetary union crisis different?

We estimate a two-region model of the Euro area, with the purpose of identifying the shocks that caused the 2008–2009 recession and the subsequent 2010 sovereign bond crisis. One striking result is that both crises were demand-driven in the core Euro area countries, whereas region-specific permanent technology shocks explain most of the output growth slowdown in the peripheral countries. Adverse technology shocks became particularly important during the sovereign bond crisis. This is in line with cross-country evidence on the effects of sudden stops.     

Technology shocks, structural breaks and the effects on the business cycle

It is shown that time-series of US productivity and hours are apparently affected by a structural break in the late 60s. Moreover, the importance of technology shocks over the business cycle has sharply decreased after the break.     

Macroeconomic fluctuations: Demand or supply, permanent or temporary?

We use generalized method of moments to estimate a rational expectations aggregate demand/aggregate supply macroeconomic model for five European economies and the United States. Our aim is to examine whether supply or demand shocks have predominated in these economies during the post-war era, and whether shocks of either type have been primarily temporary or permanent in nature. We find that permanent or temporary demand shocks have been the dominant source of variance in output growth in all six countries, but there is a less consistent pattern for inflation. Permanent supply shocks had the dominant influence on autocorrelations.