Victor J. Valcarcel

A refinement of the relationship between economic growth and income inequality

There is mixed evidence in the literature of a clear relationship between income inequality and economic growth. Most of that work has focused almost exclusively on developed economies. In what we believe to be a first effort, our emphasis is solely on developing economics, which we classify as high-income and low-income developing countries (HIDC and LIDC). We make such distinction on theoretical and empirical grounds. Empirically, the World Bank has classified developing economies in this manner since 1978. The data in our sample are also supportive of such classifications. We provide theoretical scaffolding that uses asymmetric credit constraints as a premise for separating developing economies in such a way. We find strong evidence of a negative relationship between income inequality and economic growth in LIDC to be in stark contrast with a positive inequality–growth relationship for HIDC. Both correlations are statistically significant across multiple econometric specifications. Using international data from 1960 to 2010, this article explores the effect of income inequality on economic growth using dynamic panel technique, such as system generalized method of moments (GMM) that is believed to mitigate endogenous problem. These results are strikingly contrasting to the previous estimation results of Forbes (2000) displaying significant positive correlation between two variables in the short to medium term.

THE TIME-VARYING EFFECTS OF PERMANENT AND TRANSITORY SHOCKS TO REAL OUTPUT

Annual changes in volatility of U.S. real output growth and inflation are documented in data from 1870 to 2009 using a time varying parameter VAR model. Both volatilities rise quickly with World War I and its aftermath, stay relatively high until the end of World War II and drop rapidly until the mid to late-1960s. This Postwar Moderation represents the largest decline in volatilities in our sample, much greater than the Great Moderation that began in the 1980s. Fluctuations in output growth volatility are primarily associated with permanent shocks to output while fluctuations in inflation volatility are primarily accounted for by temporary shocks to output. Conditioning on temporary shocks, inflation and output growth are positively correlated. This finding and the ensuing impulse responses are consistent with an aggregate demand interpretation for the temporary shocks. Our model suggests aggregate demand played a key role in the changes in inflation volatility. Conversely, the two variables are negatively correlated when conditioning on permanent shocks, suggesting that these disturbances are associated primarily with aggregate supply. Our results suggest that aggregate supply played an important role in output volatility fluctuations. Most of the impulse responses support an aggregate supply interpretation of permanent shocks. However, for the pre-World War I period, we find that at longer horizons a permanent increase in output is generally associated with an increase in the price level that is frequently statistically significant. This evidence suggests aggregate demand may have had a long-run positive effect on output during the pre-World War I period.

A Model of Monetary Policy Shocks for Financial Crises and Normal Conditions

In late 2008, deteriorating economic conditions led the Federal Reserve to lower the federal funds rate to near zero and inject massive liquidity into the financial system through novel facilities. The combination of conventional and unconventional measures complicates the challenging task of characterizing the effects of monetary policy. We develop a novel method of identifying these effects that maintains the classic assumptions that a central bank reacts to output and the price level contemporaneously and may only affect these variables with a lag. A New-Keynesian DSGE model augmented with a representative financial structure motivates our empirical specification. The equilibrium model provides theoretical support for our choice of different series to replace variables that were popular in models of monetary policy but became problematic in the aftermath of the 2008 financial crisis. One of our most important innovations is to utilize the Divisia M4 index of money as the policy indicator variable. The model is bolstered by its ability to produce plausible responses to a monetary policy shock in samples that include or exclude the recent crisis period.

Instituting a Monetary Economy in a Semester-Long Macroeconomics Course

The author provides a general model to incentivize student involvement in an economics course on an ongoing basis. Rather than presenting students with a discrete number of diverse experiments to illustrate different economic concepts, he opts for the adoption of a single experiment that lives for the duration of the semester. This approach provides the flexibility to illustrate a substantial number of concepts while forgoing some of the more in-depth analysis typically afforded by more traditional one-day experiments. By instituting an experimental unit of currency that takes on value throughout the semester, many concepts related, but not exclusive, to income, redistribution, intertemporal substitution, and banking can be reinforced with minimal loss of lecture time due to setup and rule exposition.

A Refinement of the Relationship between Economic Growth and Income Inequality in Developing Countries

There is mixed evidence in the literature of a clear relationship between income inequality and economic growth. Most of that work has focused almost exclusively on developed economies. In what we believe to be a first effort, our emphasis is solely on developing economics, which we classify as high-income and low-income developing countries (HIDC and LIDC). We make such distinction on theoretical and empirical grounds. Empirically, the World Bank has classified developing economies in this manner since 1978. The data in our sample is also supportive of such classifications. We provide a theoretical scaffolding that uses asymmetric credit constraints as a premise for separating developing economies in such a way. We find strong evidence of a negative relationship between income inequality and economic growth in LIDC to be in stark contrast with a positive inequality-growth relationship for HIDC. Both correlations are statistically significant across multiple econometric specifications. These results are robust to degree of persistence in the variables of interest as well as a measure threshold of income that is estimated endogenously for our sample.

The Impact of Government Spending on Private Spending in a Two-Sector Economy

Based on evidence that the dynamics of private spending on durables seem to differ from that of nondurables and services, this article disaggregates the impact of an exogenous government shock into its effect on each type of consumption good. Different calibrations of a dynamic stochastic general equilibrium (DSGE) model suggest that increases in government spending crowd out private spending on durable goods, while they serve to expand nondurable and services spending. Vector autoregression (VAR) estimates across these sectors yield qualitatively similar results. The estimated responses are driven by a negative correlation between durable spending and two measures of government spending that has not greatly varied over time—whereas the correlation between nondurable spending and government consumption has remained consistently positive throughout the sample. Estimates are consistent with a Great Moderation in three components of consumption, whereas moderations in the volatility of government spending took place earlier than the 1980s. The Great Recession of 2008–2009 saw an increase in volatility of consumption spending with no similar increases in the uncertainty of government spending.

Compression in monetary user costs in the aftermath of the financial crisis: implications for the Divisia M4 monetary aggregate

ABSTRACT Differences in Divisia and simple-sum money arise from appropriate weighing mechanisms in Divisia, which rely on information on the user cost of monetary assets. We show convergence in the growth rate of Divisia M4 and its simple-sum counterpart beginning in early 2009, shortly after the collapse in the Federal Funds rate. This phenomenon results from compression in user costs.