scholarly journals Macroeconomic Implications of Inequality and Income Risk

2021 ◽  
Vol 2021 (072) ◽  
pp. 1-49
Author(s):  
Aditya Aladangady ◽  
◽  
Etienne Gagnon ◽  
Benjamin K. Johannsen ◽  
William B. Peterman ◽  
...  

We explore the long-run relationship between income risk, inequality, and the macroeconomy in an overlapping-generations model in which households face uncertain streams of labor income and returns on their savings. To manage those risks, households can apportion their savings to a bond, whose return is safe and identical across households, and a productive asset, whose return is uncertain and can differ persistently across households. We find that greater polarization in households’ labor income and returns on their savings generally accentuates households’ demand for risk-free assets and the compensation they require for bearing risk, leading to higher measured income and wealth inequality, a lower risk-free real interest rate, and higher risk premiums. These findings suggest that the factors behind the observed rise in inequality over the past few decades might have contributed to the observed fall in the risk-free real interest rate and widening gap between the risk-free real interest rate and the rate of return on capital. We also find that the magnitude of the decline in the risk-free real interest rate and offsetting rise in risk premiums depend importantly on the source of income polarization, with the effects being especially large when greater inequality is caused by increased dispersion in returns on risky assets. Thus, the macroeconomic implications not only depend on the amount of inequality, but also the source of this inequality.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alessandro Bellocchi ◽  
Edgar Sanchez Carrera ◽  
Giuseppe Travaglini

PurposeIn this paper, the authors study the long-run determinants of total factor productivity (TFP) in three major European economies over the period 1983–2017, namely Germany, France and Italy.Design/methodology/approachThe authors focus on the capital misallocation effects, scale effects and labor misallocation effects. To this end, the authors study how real interest rate shocks, real exchange rate shocks, real wage shocks and changes in labor regulation affected TFP in major European countries over the last decades. The authors employ a theoretical and an empirical model to investigate the issue. The empirical results are obtained using a VAR model for estimation.FindingsA stripped-down model of labor market in open economy with technology progress allows to identify the relevant variables affecting TFP. On the empirical ground, the authors find a positive relationship between TFP and real interest rate in the long run. Importantly, the authors detect a positive relationship between TFP and real exchange rate. Further, the authors show that the TFP can respond positively to a stricter labor market regulation and to a higher real compensation per employee. The results provide support to the idea that TFP has a positive relation with prices in the long run, while it may be biased along the cycle because of price rigidity.Research limitations/implicationsThe present model is stylized and may not capture all of the details of reality. The analysis should be extended to a larger number of countries. Technology progress could be proxied using different variables, as the R&D expenditure or the number of patents. Micro data, for specific sectors and industries, can improve the quality of the empirical investigation.Practical implicationsMainly the authors find that TFP has a positive relationship with price changes in the long run, while it may be biased along the cycle because of price stickiness. Capital misallocation and labor misallocation can negatively affect TFP. Thus, the observed divergences in European TFP can be traced back to the misallocation effects attributable to the decrease of real interest rate and real wages, together with the raising labor flexibility. Mainly, the authors detect a positive long-run relationship between TFP and real exchange rate. This outcome strengthens the supply-side view of the relationship between productivity and real exchange rate.Social implicationsThe authors believe that the present setup can be helpful to reflect critically on the nodes at the core of the productivity slowdown and asymmetries in the eurozone. The aim is to implement renewed policies in order to favor economic growth, convergence and stability in the euro area.Originality/valueThis research addresses the issue of asymmetries among European economies by focusing on the role played by real prices in the long run. Traditionally, the dynamics of TFP have been attributed only to technological components, human capital and knowledge. This work shows that the dynamics of prices such as the real interest rate, the real exchange rate and the real wage can also influence the technological process by pushing the production system toward choices that are not always optimal for economic growth. An interesting result of this research concerns the positive relationship between real exchange rates and TFP in the long term, evidence of an important supply-side effect on the technological process.


2004 ◽  
Vol 94 (5) ◽  
pp. 1303-1327 ◽  
Author(s):  
Louis J Maccini ◽  
Bartholomew J Moore ◽  
Huntley Schaller

This paper presents a model that provides an explanation, based on regime switching in the real interest rate and learning, of why tests based on stock-adjustment models, Euler equations, or decision rules—which emphasize short-run fluctuations in inventories and the interest rate—are unlikely to uncover a negative relationship between inventories and the real interest rate. The model, however, predicts that inventories will respond to long-run movements, that is, to regime shifts in the real interest rate. Tests emphasizing cointegration techniques confirm this prediction and show a significant long-run relationship between inventories and the real interest rate.


2016 ◽  
Vol 5 (2) ◽  
pp. 87-103 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar

Fiscal deficit above a certain limit is not good for the country because high government borrowings raise the interest rate and crowd out private investment. This article is an attempt to analyze the impact of fiscal deficit on real interest rate in India over the time period of 1980–1981 to 2013–2014. Autoregressive distributed lags bound testing approach for cointegration and vector error correction model for Granger casualty are used in a multivariate framework in which money supply and inflation are included as additional variables. Bound test results confirm the long-run equilibrium relationship among the competing variables. Further, the rate of interest and fiscal deficit are positively related with each other in long run, whereas money supply and inflation are found to be negative and statistical significant. In addition, results of vector error correction model showed that there is unidirectional causality running from inflation to real interest rate in short run. Based on the findings, it is suggested that that proper fiscal consolidation is required to control high fiscal deficit and burgeoning interest rate in India. Further, government should move from market borrowing to tax revenue to offset fiscal deficit.


2001 ◽  
Vol 40 (4II) ◽  
pp. 577-602 ◽  
Author(s):  
Shaista Alam ◽  
Muhammad Sabihuddin Butt ◽  
Azhar Iqbal

The role of exchange rate policy in economic development has been the subject of much debate and controversy in the development literature. Interest rates and exchange rates are usually viewed as important in the transmission of monetary impulses to the real economy. In the short run the standard view of academics and policy-makers is that a monetary expansion lowers the interest rate and rises the exchange rate, with these price changes then affecting the level and composition of aggregate demand. Frequently, these influences are described as the liquidity effects of monetary expansion, viewed as the joint effect of providing larger quantities of money to the private sector. Popular theories of exchange-rate determination also predict a link between real exchange rates and real interest rate differentials. These theories combine the uncovered interest parity relationship with the assumption that the real exchange rate deviates from its long-run level only temporarily. Under these assumptions, shocks to the real exchange rate—which are often viewed as caused by shocks to monetary policy—are expected to reverse themselves over time. This study investigates the long-run relationship between real exchange rates and real interest rate differentials using recently developed panel cointegration technique. Although this kind of relationship has been studied by a number of researchers,1 very little evidence in support of the relationship has been reported in the case of developing countries. For example, Meese and Rogoff (1988) and Edison and Pauls (1993), among others, used the Engle-Granger cointegration method and fail to establish a clear long-run relationship in their analysis.


Author(s):  
Wong Hock Tsen

This study examined the relationship between real exchange rate and terms of trade in Malaysia, Singapore, and Thailand in two cases, namely a three-variable case and a four-variable case. The results of cointegration tests showed that there is long-run relationships among real exchange rate, terms of trade, and relative demand for Malaysia. Moreover, there is long-run relationship among real exchange rate, terms of trade, relative demand, and relative real interest rate for Malaysia and Thailand. The results of Granger causality showed that real exchange rate does not Granger cause terms of trade, however the result is mixed for Thailand. The contribution of terms of trade and relative demand to real exchange rate is mixed and small. Generally, the contribution of terms of trade to real exchange rate is greater than the contribution of relative demand in Singapore. For Thailand, relative demand is more important than terms of trade in the determination of real exchange rate. For Malaysia, the results are mixed.  


Author(s):  
Aloysius Deno Hervino

This research aimed to estimate the short run and long run (steady state) model on credit market, which influenced on risk hindering behavior by debtor, and taking banking regulation into model as a shock. Analyzing on investment credit market is related with asymmetric information problem and dynamic decision. This research was using Autoregressive Distributed Lag Error Correction Model (ARDL-ECM) to analyze this behavior because all variables were integrated on different level. In the short run, the debtor behaviors is only influenced by real interest rate on rupiah working capital, and in the long run his behavior influenced by real interest rate on rupiah working capital, and expected on real national income. But debtor behavior do not influence by real interest rate on rupiah investment credit in short and long run. Banking regulation do not influence the investment credit risk hindering behavior on debtor. On average, every change in explanatory variables need 24 days by debtor to adjust his behavior on investment credit market.


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