What determines households inflation expectations? Theory and evidence from a household survey

The purpose of the present paper is to study how households form inflation expectations using a novel survey dataset of Italian households. We extend the existing ‘inattentiveness’ literature by incorporating explicitly inflation targets and distinguishing between aggregate and disaggregate dynamics based on demographic groups. We also consider both the short- and long-run dynamics as households update their inflation expectations. While we find clear distinctions between the various demographic groups behavior, households tend to absorb professionals forecast. The short-run dynamics also indicate they not only overreact when updating their expectations but also adjust asymmetrically to any perceived momentum change of future inflation.     

What horizon for targeting inflation?

We investigate optimal horizons for targeting inflation in response to different shocks and their properties. Our analysis is based on a well specified macroeconometric model of Norway. We find that optimal horizons are highly shock-specific and do not increase with concern for output and/or interest rate fluctuations beyond some shock-specific levels. Optimal horizons increase with the degree of persistence in shocks while they are not affected by the size of a shock unless the central bank is averse to interest rate volatility. In the face of multiple shocks, however, sizes as well as signs of shocks become important for optimal horizons even when the central bank is not averse to interest rate volatility. This is because shocks of different signs and sizes may amplify or outweigh each others’ effects.     

What determines stock liquidity in Australia?

Using an index of corporate governance quality (CGQ), we provide the first robust evidence of the determinants of stock liquidity in Australia. We assume that CGQ affects stock liquidity because effective governance decreases information asymmetries between insiders (e.g. managers) and outsiders (e.g. investors), as well as among outsiders, by improving information transparency of a firm. Consistent with agency theory, this study, using 435 large capitalization firms over the period from 2001 to 2008, finds a significant positive relationship between CGQ and stock liquidity, suggesting that better governed firms have a higher level of stock liquidity. These findings are robust to alternative proxies of CGQ, stock liquidity and endogeneity bias.     

What drives inflation in New Keynesian models?

This paper estimates variants of a small-scale New Keynesian model using observations on inflation, inflation expectations and nominal interest rates. We ask whether those variables alone can tell us something about the time series properties of real marginal costs.     

What determines the likelihood of structural reforms?

We use data for a panel of 60 countries over the period 1980–2005 to investigate the main drivers of the likelihood of structural reforms. We find that: (i) external debt crises are the main trigger of financial and banking reforms; (ii) inflation and banking crises are the key drivers of external capital account reforms; (iii) banking crises also hasten financial reforms; and (iv) economic recessions play an important role in promoting the necessary consensus for financial, capital, banking and trade reforms, especially in the group of OECD-countries. Additionally, we also observe that the degree of globalisation is relevant for financial reforms, in particular in the group of non-OECD countries. Moreover, an increase in the income gap accelerates the implementation of structural reforms, but increased political fragmentation does not seem to have a significant impact.     

What determines simultaneous asset bubbles? An empirical analysis

The recent global financial crisis demonstrated that the simultaneous collapse of asset bubbles in different countries is a major challenge for monetary policy. In order to evaluate determinants of these simultaneous asset bubbles, we detect rational asset bubbles in corporate equity and real estate markets worldwide using forward recursive right-sided ADF tests. Then we create dummy variables for simultaneous asset bubbles and analyse potential determinants using gravity models and spatial economics. Our empirical analysis suggests that simultaneous asset bubbles depend positively upon potential asset demand, capital account openness, monetary conditions, cultural similarities and negatively upon informational frictions and exchange rate flexibility. These findings imply that monetary policy can impede the probability of simultaneous asset bubbles by ensuring sound monetary conditions and choosing a flexible exchange regime.     

What if the Fed had been an inflation nutter?

A structural rational expectations model of US monetary policy is used to make a counterfactual experiment of a strongly inflation averse Federal Reserve Bank. Results for US interest rates, output, and inflation over 1965–1999 are discussed.     

What is the real size of China's economy?

On 20 December 2005, China's National Bureau of Statistics adjusted China's nominal GDP by CNY 2.3 trillion. The bulk of this upward adjustment was attributed to improved coverage of value added by services. The service industry now makes up 40% of GDP. Based on previous studies and other observations, this paper point outs that there is still significant underreporting of the service industry and, hence, China's GDP is likely to be underestimated. We find a plausible share of service industry in GDP to be in the range of at least 45% to 55%.     

What Can Students Gain from China's Higher Education?

China's higher education system has undergone a rapid expansion over the last two decades. By drawing on hand-collected data, we explore students' experiences in college and in the labor market post-graduation in the wake of this expansion. According to our data, the largest employer of college graduates in the labor market was the state sector, followed by the domestic private sector. To explain the returns to college education in China, we explore three mechanisms: human capital, social networks, and signaling. We find that human capital measures, apart from a student's college English test scores, cannot explain the college wage premium, whereas both social networks (for example, membership of the Communist Party) and signaling matter significantly. This seems to indicate that in China, connections are crucial for student success in the labor market, whereas the higher education system itself is more a system for selecting talented individuals than it is for educating them. Finally, students allocate their time accordingly, for example, by spending more time studying English in college than any other subject.     

Do inflation targets anchor inflation expectations?

We suggest a simple test of whether an inflation target anchors private-sector inflation expectations. The test is easy to compute and it is robust to various sources of misspecification. The test may be a useful alternative to dispersion measures commonly studied in research on inflation targeting. Using data for 22 inflation targeting countries, we find for many countries that the forecasters scatter their inflation forecasts away from the inflation target. We account for the endogeneity of inflation targets, we study the variability of our finding across countries and across time, and we study to which extent our results depend on the level and variability of inflation targets.     

What determines the value of recommendation change? A preliminary analysis

This article determines the condition under which recommendation changes relative to consensus recommendation and recommendation changes relative to analyst’s previous recommendation are valuable. We show that recommendation upgrades (downgrades) relative to consensus recommendation are followed by significantly positive (negative) short-term returns whenever consensus recommendation represents convergence of analysts’ opinions. We also show that as the standard deviation associated with consensus recommendation increase, the value of recommendation changes reduce significantly. This article also shows that recommendation upgrades (downgrades) relative to analyst’s previous recommendation are followed by significantly positive (negative) short-term returns whenever interval between two consecutive recommendations is relatively short. We also show that, as the interval between two consecutive recommendations increase, the value of recommendation changes reduce significantly. Our results are robust across various subsamples based on size and region.     

What determines productivity performance of telecommunications services industry? A cross-country analysis

This article investigates the key factors that determine the productivity performance of telecommunications services industry. A simple theoretical model is used to illustrate that the Total Factor Productivity (TFP) growth is attributable to the effects of scale economies, market competition and technical change. We then examine empirically the effect of various factors on the TFP growth in the industry using panel data in 12 Organization for Economic Co-operation and Development (OECD) countries for the period 1983 through 2003. The empirical results are consistent with the theoretical prediction. A new finding in this article is that higher machinery and equipment (M&E) capital intensity and human capital contribute to higher TFP growth in the telecommunications services industry. The decomposition analysis also suggests that technical change induced by changes in M&E capital intensity and human capital are important sources of productivity performance in the industry across the OECD countries, contributing to about 20–50% and 2–7% of TFP growth, respectively. These findings highlight the importance of improving the conditions for M&E capital investment and the quality of human capital, which in turn could facilitate the adoption of new technologies and enhance the productivity in the industry.     

Is inflation targeting a good remedy to control inflation?

Since the 1990s inflation targeting (IT) has been adopted by several central banks as a strategy for monetary policy. It is expected that the adoption of this monetary regime can reduce inflation and inflation volatility. This article is concerned with these issues and makes use of the Propensity Score Matching methodology on a sample of 180 countries for the period from 1990 to 2007. For analysis, the sample is split into two sets of countries (advanced and developing). The findings suggest that the adoption of IT is an ideal monetary regime for developing economies and, in addition to reducing inflation volatility, can drive inflation down to internationally acceptable levels. Regarding advanced economies, the adoption of IT does not appear to represent an advantageous strategy. In brief, the empirical results indicate that the adoption of IT is useful for countries that must enhance their credibility for the management of monetary policy.     

What determines outstanding corporate debt mix? Evidence from fractional multinomial logit estimation

This study employs the fractional multinomial logit setting proposed by Papke and Wooldridge (1996) to examine factors driving the choice among nonbank private (144A) debt, bank loans and public debt made by 988 nonfinancial firms during 1993–2007. We document that the majority of firm-level factors have persistent effects on corporate outstanding debt mix across economic conditions. We also highlight the importance of macroeconomic variables on firms’ borrowing decisions as predicted by Diamond (1991). Finally, we document a substitution effect among debt financing sources due to credit rating downgrades, which is inconsistent with Rauh and Sufi (2010).     

China's Growth Slowdown: Labor Supply,Productivity, or What?

There has been much discussion of the sources of China’s growth slowdown but little formal econometric analysis of this question. Chen and Groenewold (2019) show that the slowdown was primarily supply-driven, but they stopped short of identifying specific supply variables. This paper extends their analysis and distinguishes several potential supply components: labor supply, productivity, and capital accumulation. Our results confirm their main conclusion that supply dominates the explanation of the slowdown. A model with two supply factors (labor supply and productivity) reveals that both components contribute to the slowdown, although productivity makes the greater contribution. However, when capital stock is added to the model, the decline in the capital accumulation rate becomes an important factor in the growth slowdown, to some extent replacing the effects of both labor supply and productivity.     

China's housing bubble burst?

In this paper, we developed the recursive unit root tests to identify the beginning and end of potential speculative bubbles in the Chinese housing price cycles during 2006–2013 for the 70 major cities of China. The method is best suited for a practical implementation with a time series and delivers a consistent date‐stamping strategy for the origination and termination of multiple bubbles. Simulations demonstrate that the test significantly improves discriminatory power and leads to distinct power gains when multiple bubbles occur. Overall, the results indicate that the speculative housing price bubbles in China are not bursting, and they indicate that the stationarity of the housing price level varies across the different city sizes. Between the cities, approximately one‐fourth of the bubbles have burst up to December 2013, while the first‐tier city bubble may not burst due to the urbanization process.     

What Explains the High Returns to the IPOs of China's A‐Shares?

Abstract

This paper investigates the initial returns of Chinese A‐share initial public offerings (IPOs) under the split‐share structure before 2005. The split‐share structure refers to the coexistence of shareholders of tradable shares and shareholders of non‐tradable shares. The average initial return is much higher than those of other countries, even though this has been declining. We argue that the split‐share structure causes the initial returns of Chinese IPOs to be very high level in the beginning, and then to decrease slowly because of the institutional transition and the path‐dependent characteristics. With the reform of non‐tradable share offerings, the average initial return of Chinese IPOs is likely to fall.     

Did the EMS encourage inflation convergence?

This paper studies the convergence of inflation rates over the period of 1983–93 for some countries within the European Monetary System. Three different price indices are considered for consumer goods, services, and industrial products. This study focuses on the difference between core and peripheral countries for measuring convergence speed. By using - and -convergence tools, as previously identified in studies on output growth convergence, it was found that the convergence process did not evolve equally whether considered through price indices, time, or countries.     

Domestic and global output gaps as inflation drivers: What does the Phillips curve tell?

We study how domestic and global output gaps affect CPI inflation. We use a New-Keynesian Phillips curve framework which controls for non-linear exchange rate movements for a panel of 26 advanced and 22 emerging economies covering the 1994Q1−2017Q4 period. We find that both global and domestic output gaps are significant drivers of inflation both in the pre-crisis (1994–2008) and post-crisis (2008–2017) periods. Furthermore, after the crisis, in advanced economies the effect of the domestic output gap declines, while in emerging economies the effect of the global output gap declines. Our results suggest that emerging and advanced economies have become more similar to each other in terms of output gaps as inflation drivers. The paper demonstrates the usefulness of the New Keynesian Phillips curve in identifying the impact of global and domestic output gaps on inflation.