Argentina: Macroeconomic Crisis and Household Vulnerability*

Using panel data from the Argentine Permanent Household Survey, this paper analyzes which households were more vulnerable to the Argentine macroeconomic crisis during 1999–2002. Results suggest that the impact of the crisis was not uniform across households, which differed in their ability to cope with shocks. In particular, households with more children, and whose head was male, less educated, and employed in the private sector were the most vulnerable, suffering larger than average declines in income. Shocks to labor income were significant, with both unemployment rates and unemployment spells increasing throughout the period, particularly during the peak of the crisis towards the end of 2001. Individuals with low levels of human capital (proxied by education and experience), males, and self‐employed were more likely to lose their jobs. Public sector employees, in contrast, were more protected from the impact of the crisis on employment.     

Uncertainty and the macroeconomy: evidence from an uncertainty composite indicator

This article proposes a uncertainty composite indicator (UCI) based on three distinct sources of uncertainty (namely financial, political, and macroeconomic) for the US economy on the period 1985–2015. For that, we use a dynamic factor model, summarizing efficiently six individual uncertainty proxies, namely two macroeconomic and financial uncertainty factors based on the unpredictability, a measure of (micro)economic uncertainty, the implied volatility index, the corporate bond spreads, and an index of economic policy uncertainty. We then compare the effects of uncertainty on economic activity when the UCI is used instead of individual uncertainty proxies in structural VAR models. The interest of our UCI is to synthesize theses effects within one measure of uncertainty. Overall, the UCI was able to account for the most important dynamics of uncertainty which play an important role in business cycles.     

The impact of Nepal's earthquake on the health status of rural children

We study the impact of Nepal's 2015 earthquake on the health status of children aged 0–5 years. Using a difference-in-differences approach we find that the earthquake decreased height-for-age z-scores (HAZ) and that this effect is largely driven by females, who experienced an average decline of −0.763 standard deviations in their HAZ. Further, we find that females in the 0–3 years age group and in the least wealthy households are the most vulnerable. This is particularly unfortunate, as the first 3 years of life can impact long-term health and well-being, and female undernutrition contributes to the intergenerational transmission of poverty and ill health.     

Predicting long-run risk factors of stock returns: Evidence from Australia

This study utilises the stock market data provided by the Australian Equity Database to analyse the long-run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the diverse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had dampening effects on stock returns. There is a positive association between the US and Australian stock markets in the long-run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long-run have important implications for traders and practitioners.     

The determinants of China's lending rates and interest rates pass-through: A cointegration analysis

Based on quarterly data between Q4, 2008–Q4, 2017, this study examines the interest rates pass-through from policy rate to lending rates, and more broadly, the determinants of lending rates in China. The results show that while there is a certain level of pass-through from money market rates to lending rates, and the interest rates pass-through has improved after the interest rate liberalization completion on October 2015, this pass-through is also negatively affected by the asset quality of commercial banks and shadow banking activities as well. This study also finds that the macroeconomic condition also affects the lending rates.     

Revisiting the inflation perception conundrum

Households' inflation perceptions and expectations play a key role in many dynamic macroeconomic and monetary models and are important for the ability of central banks to reach their objective of price stability. This paper revisits the issue of overestimation bias in inflation perceptions and expectations based on new and unique microdata from the Danish part of the EU-Harmonised Consumer Expectations Survey linked to rich household-level data from administrative registers. The analysis shows that accounting for even several of the household characteristics and social gradients usually addressed in the literature is far from sufficient to explain the inflation perception bias. Furthermore, we find that respondents participating in the survey more than once tend to be persistent in their degree of perception bias and that overpessimistic households have larger perception bias than other households. This indicates that inflation perception bias is related to fundamental personality traits. Finally, households' expectations of the future inflation level tend to be mean reverting and associated with the same types of bias as inflation perceptions.     

Inequality,Debt Servicing and the Sustainability of Steady State Growth

We investigate the claim that the way in which debtor households service their debts matters for macroeconomic performance. A Kaleckian growth model is modified to incorporate working households who borrow to finance consumption that is determined, in part, by the desire to emulate the consumption patterns of more affluent households. The impact of this behavior on the sustainability of the growth process is then studied by means of a numerical analysis that captures various dimensions of income inequality. When compared with previous contributions to the literature, our results show that the way in which debtor households service their debt has both quantitative and qualitative effects on the economy's macrodynamics.     

The economic relevance of sustainable agroforestry practices — An empirical analysis from Tanzania

This paper investigates the economic relevance of sustainable behavior of agroforestry practices for smallholders using the example of firewood exploitation in rural Tanzania. Three questions are addressed: (1) To what extent do households behave sustainably regarding firewood extraction from agroforestry? (2) Which factors determine the likelihood of households practicing sustainable agroforestry? (3) Are sustainably behaving households better off in terms of income compared to households practicing unsustainable agroforestry? The analysis is based on cross-sectional data of 314 households. A sustainability indicator shows that the share of sustainable households varies between 14 and 41% depending on the underlying wood growth rate. The results of the logistic regression indicate that property rights regarding the ownership of agricultural land and environmental awareness increase the likelihood of sustainable firewood extraction. Empirical evidence from the quantile regression reveals that poorest households generate higher income if they extract firewood unsustainably. The opposite is true for households of upper income percentiles. Thus, the poor are likely to increase environmental degradation to generate more income causing a ‘downward spiral’ of the poverty–environment trap resulting in income losses in the long run. Households with a per capita income of 524 TZS or more manage their tree stocks sustainably.     

虚拟经济条件下的资本市场与宏观经济分析

随着20世纪后期以来经济虚拟化进程的加速，需要一种新的宏观分析方法，能够将资本市场理和宏观经济理论更好地结合起来。本文在这方面作了一些尝试。试图将资本市场作为经济中内生的一部分，与居民、企业和银行等经济中其他部门联系起来，从而更好的分析和解释宏观经济波动。     

The impact of digital finance on household consumption: Evidence from China

Using panel data from the China Household Finance Survey (CHFS) in 2013, 2015, and 2017 and the digital inclusive finance index developed by Peking University, this study examined impacts of the digital inclusive finance on household consumption and explored its mechanisms. Results suggest that the digital inclusive finance could promote households consumption. A heterogeneity analysis showed that households with fewer assets, lower income, less financial literacy and in third- and fourth-tier cities experienced larger facilitating effects of digital finance on consumption compared to their counterparts. For consumption categories, digital finance was positively correlated with food, clothing, house maintenance, medical care, and education and entertainment expenditures. In terms of consumption structure, digital finance mainly promoted the recurring household expenditures rather than the non-recurring expenditures. Further analyses based on the mediating model found that online shopping, digital payment, obtainment of online credit, purchase of financing products on the internet and business insurance, were the main mediating variables through which digital finance affected household consumption.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.     

Assets at marriage in rural Ethiopia

Analysis of adjustment loans often overlooks their repetition to the same country. Repetition changes the nature of the selection problem. None of the top 20 recipients of repeated adjustment lending over 1980–99 were able to achieve reasonable growth and contain all policy distortions. About half of the adjustment loan recipients show severe macroeconomic distortions regardless of cumulative adjustment loans. Probit regressions for an extreme macroeconomic imbalance indicator and its components fail to show robust effects of adjustment lending or time spent under IMF programs. An instrumental variables regression for estimating the causal effect of repeated adjustment lending on policies fails to show any positive effect on policies or growth.     

What are the bank-specific and macroeconomic drivers of banks’ leverage? Evidence from Luxembourg

We investigate the leverage cycle in Luxembourg’s banking sector using individual bank-level data for the period 2003 Q1–2010 Q1. One of our findings is that Luxembourg’s banks have a procyclical leverage. This procyclicality is not due to marking-to-market but because Luxembourg’s banks are liquidity providers to the EU banking sector. We then empirically investigate the role of bank characteristics as well as real, financial and expectation variables that proxy for macroeconomic conditions in the pre-crisis and crisis period. We find that off-balance sheet exposures have different effects in the pre-crisis and crisis period, and that the share of liquid assets in the portfolio only affects security holdings. As for macroeconomic variables, we find that the Euribor-OIS spread is a significant driver of the build-up in leverage in the pre-crisis period. The reason is that most banks in Luxembourg are either branches or subsidiaries. This makes leverage a less relevant indicator of riskiness for investors. It also implies that in times of liquidity shortages, mother companies or groups demand further liquidity from their branch or subsidiary. The downturn in leverage during the crisis can be accredited to reductions in expectations, which we proxy by an economic sentiment indicator. It can also be explained by increasing bond prices which induce depositors to shift their funds from bank deposits into bonds. We find no important role for GDP growth.     

Air conditioning and electricity expenditure: The role of climate in temperate countries

This paper investigates how households adopt and use air conditioning to adapt to climate change and increasingly high temperatures, which pose a threat to the health of vulnerable populations. The analysis examines conditions in eight temperate, industrialized countries (Australia, Canada, France, Japan, the Netherlands, Spain, Sweden, and Switzerland). The identification strategy exploits cross-country and cross-household variations by matching geocoded households with climate data. Our findings suggest that households respond to excess heat by purchasing and using air conditioners, leading to increased electricity consumption. Households on average spend 35%–42% more on electricity when they adopt air conditioning. Through an illustrative analysis, we show that climate change and the growing demand for air conditioning are likely to exacerbate energy poverty. The number of energy poor who spend a high share of income on electricity increases, and households in the lowest income quantile are the most negatively affected.     

Asymmetric effects of industrial production,money supply and exchange rate changes on stock returns in Turkey

The aim of this article is twofold: First, it examines the asymmetric effects of industrial production, money supply and RER on stock returns in Turkey by using the non-linear autoregressive distributed lag (NARDL) model over the periods of 1994:01–2017:05 and 2002:01–2017:05. Second, it tries to determine whether there is a change of these macroeconomic variables’ effects on stock returns after the 2001 financial crisis since after 2002 period represents a structural break from the past in terms of economic, political and macroeconomic policy approaches. The study finds that the effects of the changes in industrial production, money supply and RER on stock returns are asymmetric, and the asymmetries are larger after the 2002 subsample compared to the full sample period. The empirical results further suggest that tight monetary policies appear to retard the stock returns more than easy monetary policies that stimulate them.     

Experts,firms, consumers or even hard data? Forecasting employment in Germany

In this article, we forecast employment growth for Germany with data for the period from November 2008 to November 2015. Hutter and Weber (2015) introduced an innovative unemployment indicator and evaluated the performance of several leading indicators, including the Ifo Employment Barometer (IEB), to predict unemployment changes. Since the IEB focuses on employment growth instead of unemployment developments, we mirror the study by Hutter and Weber (2015). It turns out that in our case, and in contrast to their article, the IEB outperforms their newly developed indicator. Additionally, consumers’ unemployment expectations and hard data such as new orders exhibit a high forecasting accuracy.     

Fiscal policy uncertainty and the business cycle: Time series evidence from Italy

Economic uncertainty is an important factor behind macroeconomic fluctuations: in an uncertain environment, firms reduce hiring and investment; financial intermediaries are more reluctant to lend; households increase their propensity to save. In the present paper, we study the effects of the uncertainty which arises from fiscal policy decisions and propose a new measure of fiscal policy uncertainty (FPU). In particular, we estimate a fiscal reaction function, allowing the volatility of the shocks to be time-varying. The time series of this volatility is our proxy for FPU. Looking at Italian data over the period 1981–2014, we find that an unexpected increase in our measure of FPU has a negative impact on the economy. One implication of this result is that the same change in the government budget can have different effects depending on whether it is associated with a reduction or an increase in FPU. Therefore, the neglect of FPU may partly explain why the size (and sign) of fiscal multipliers differs so much across existing empirical studies.     

CREDIBILITY, MACROECONOMIC FUNDAMENTALS AND MARKOV REGIME SWITCHES IN THE EMS

The main objective of this paper is to use the Markov regime‐switching modelling framework to describe and analyse the credibility of a number of countries participating in the European Monetary System during 1980–1998. Our credibility indicator, based on Hughes Hallet et al.'s (1997) methodology, is subject to discrete regime shifts and is made dependent on macroeconomic fundamentals. We carry out extensive testing to assess the specification of the Markov regime‐switching model and the potential existence of permanent breaks. A contribution of our paper is the specification of a multivariate Markov switching model that allows us to examine whether macroeconomic variables have asymmetric effects on credibility. Another contribution is the specification of a regime‐switching model with time‐varying transition probabilities, which enables us to determine whether changes in macroeconomic variables can trigger switches between the low and high credibility regimes. We find strong evidence of regime switching behaviour in all countries. Both the level of credibility and the transition probabilities display an asymmetric response to changes in macroeconomic variables, with the stance of fiscal policy exerting the most systematic influence in all countries.     

Political uncertainty and household savings

Despite macroeconomic evidence pointing to a negative aggregate consumption response due to political uncertainty, few papers have used microeconomic panel data to analyze how households adjust their consumption after an uncertainty shock. We study household savings and expenditure adjustment from an unexpected, large-scale and rapidly evolving political shock that occurred largely in May 1989 in Beijing, China. Using monthly micro-panel data, we present evidence that a surge in political uncertainty resulted in significant temporary increases in savings among urban households in China. Households responded mainly by reducing semi-durable expenditure and frequency of major durable adjustment. The uncertainty effect is more pronounced among older, wealthier, and more socially advantaged households. We interpret our findings using existing models of precautionary behavior. By focusing on time variation in uncertainty, our identification strategy avoids many of the potential problems in empirical studies of precautionary savings such as self-selection and life-cycle effects.     

Improving the predictability of the oil–US stock nexus: The role of macroeconomic variables

In this study, we revisit the oil–stock nexus by accounting for the role of macroeconomic variables and testing their in-sample and out-of-sample predictive powers. We follow the approaches of Lewellen (2004) and Westerlund and Narayan (2015), which were formulated into a linear multi-predictive form by Makin et al. (2014) and Salisu et al. (2018) and a nonlinear multi-predictive model by Salisu and Isah (2018). Thereafter, we extend the multi-predictive model to account for structural breaks and asymmetries. Our analyses are conducted on aggregate and sectoral stock price indexes for the US stock market. Our proposed predictive model, which accounts for macroeconomic variables, outperforms the oil-based single-factor variant as well as the constant returns (historical average) model for both in-sample and out-of-sample forecasts. We find that it is important to account for structural breaks in our proposed predictive model, although asymmetries do not seem to improve predictability. In addition, we show that it is important to pre-test the predictors for persistence, endogeneity, and conditional heteroscedasticity, particularly when modeling with high-frequency series. Our results are robust to different forecast measures and forecast horizons and are useful for making effective hedging decisions in the US stock market.