Olga Gorbachev

To What Extent Does Productivity Drive the Dollar

The continuing strength of the dollar has fueled interest in the relationship between productivity and exchange rates. An analysis of the link between the dollars movements and productivity developments in the United States, Japan, and the euro area suggests that productivity can account for much of the change in the external value of the dollar over the past three decades.

Volatility in the Knowledge Economy

We seek to explain the economic volatility of the last 6 years, in particular the rapid expansion and contraction of the knowledge sectors. Our hypothesis is that these sectors amplify the business cycle due to their increasing returns to scale, growing faster than others in an upswing and contracting faster in a downswing. To test this hypothesis we postulate a general equilibrium model with two sectors: one with increasing returns that are external to the firm and endogenously determined - the knowledge sector - and the other with constant returns to scale. We introduce a new measure of volatility of output, a ‘real beta’, and derive a ‘resolving’ equation, from which we prove that the increasing return sectors exhibit more volatility then other sectors, We validate the main results on US macro economic data of real GDP by industry (2-3 digits SIC codes) of the 1977-2001 period, and provide policy conclusions.

Volatility and Job Creation in the Knowledge Economy

Sectors with increasing returns to scale have been shown to amplify business cycles exhibiting more volatility than others [13]. Our hypothesis is that this volatility could be a cause of the “jobless recovery” suggesting policies for employment generation. To test this hypothesis we introduce a general equilibrium model with involuntary unemployment. The economy has two sectors: one with increasing returns that are external to the firm and endogenously determined — the knowledge sector — and the other with constant returns to scale. We define a measure of employment volatility, a ‘labor beta’ that is a relative of the ‘beta’ used in finance. A ‘resolving’ equation is derived from which it is proved that increasing return sectors exhibit more employment volatility then other sectors. The theoretical results are validated on US macro economic data of employment by industry (2–3 digits SIC codes) of the 1947–2001 period, showing that the highest ‘labor betas’ are in the service sectors with increasing returns to scale. Policy conclusions are provided to solve the puzzle of the ‘jobless recovery’, where small firms in the services industry play a key role. We conclude with policy recommendations on how to create jobs in the knowledge economy.

Consumption Volatility, Liquidity Constraints and Household Welfare

We evaluate the impact of increased income uncertainty and financial liberalisation in the US on consumption volatility and household welfare. We estimate Euler equations and measure the volatility of unpredictable changes in consumption as the squared residuals. We directly control for liquidity constraints using Survey of Consumer Finances data on access to credit, and document that despite the increase in household debt between 1983 and 2007, there was no decline in the proportion of liquidity constrained households. Consumption volatility increased significantly over this period, especially for liquidity constrained households, indicating substantial welfare losses.

The Credit Card Debt Puzzle: The Role of Preferences, Credit Risk, and Financial Literacy

We use the 1979 National Longitudinal Survey of Youth to revisit what is termed the credit card debt puzzle: why consumers simultaneously co-hold high-interest credit card debt and low-interest assets that could be used to pay down this debt. Relative to individuals with no credit card debt but positive liquid assets, borrower-savers have very different perceptions of future credit access risk and use credit cards for precautionary motives. Moreover, changing perceptions about credit access risk are essential for predicting transitions among the two groups. Preferences and the composition of financial portfolios also play a role in these transitions.