What impact will E-commerce have on the U.S. economy?

In recent years, e-commerce has emerged as the fastest growing sector of the U.S. marketplace. Despite the contraction in the high-tech industry during the recent recession, firms have continued to enter and expand their presence in e-commerce, and consumers have increased the number of purchases made online. E-commerce currently represents a very small share of overall commerce, but it is expected to continue to expand rapidly in coming years. As e-commerce grows, so will its impact on the overall economy. ; The primary route by which e-commerce will affect the economy at large is through its impact on productivity and inflation. Businesses and consumers that use e-commerce benefit from a reduction in costs in terms of the time and effort required to search for goods and services and to complete transactions. This reduction in costs results in higher productivity. An even larger increase in economy-wide productivity levels may result from productivity gains by firms not engaged in e-commerce as they respond to this new source of competition. Continued expansion of e-commerce may also lead to downward pressure on inflation through greater competition, cost savings, and changes in price-setting behavior of sellers. ; Willis examines the economic factors that have contributed to the rapid growth of e-commerce and assesses how the future growth of e-commerce may affect the overall economy. He concludes that if e-commerce continues to grow rapidly, it could lead to an increase in productivity growth and downward inflationary pressures that persist for several years.Electronic commerce ; Productivity

Implications of structural changes in the U.S. economy for pricing behavior and inflation dynamics

Some key features of the behavior of inflation in the United States appear to have changed in the past 20 years, with potentially important implications for forecasters and policymakers. Recent studies have provided evidence of a decline in both the variability and persistence of inflation. ; Such shifts in the behavior or dynamics of inflation would necessitate changes in the economic relationships used by policymakers and economists to assess current conditions, forecast key economic indicators, and determine the implications of policy changes for future economic activity. ; Willis examines how structural changes in the economy over the past two decades may have affected the price-setting behavior of firms and, in turn, the behavior of aggregate inflation. He concludes that structural changes in the economy over the past 20 years have likely contributed to a decrease in the persistence and volatility of inflation.Inflation (Finance) ; Prices

The economics of labor adjustment: mind the gap

We study inferences about the dynamics of labor adjustment obtained by the "gap methodology" of Caballero and Engel [1993] and Caballero, Engel and Haltiwanger [1997]. In that approach, the policy function for employment growth is assumed to depend on an unobservable gap between the target and current levels of employment. Using time series observations, these studies reject the partial adjustment model and find that aggregate employment dynamics depend on the cross-sectional distribution of employment gaps. Thus, nonlinear adjustment at the plant level appears to have aggregate implications. We argue that this conclusion is not justified: these findings of nonlinearities in time series data may reflect mismeasurement of the gaps rather than the aggregation of plant-level nonlinearities.Labor supply ; Econometric models

Coordination of expectations in the recent crisis: private actions and policy responses

Some of the events of the recent financial crisis have made clear the importance of expectations in an economy. The economic choices individuals make are often based on their expectations of what other people will do—in what economists call a “coordination game.” In such situations, changes in the beliefs of what others may do can affect the actions of individuals. A key element in such situations is that, as the collective beliefs change and individuals respond to these altered expectations, the outcome in the marketplace can change. In the recent crisis, the coordination of expectations played a key role in areas such as financial markets, the housing market, and the automobile sector. ; When the coordination of expectations results in a crisis or a panic, policymakers are the primary group with the ability to alter the expectations of individuals. By using various policy tools, policymakers can lessen the damage from the crisis. Such tools include providing guarantees and changing marketplace incentives such as interest rates and tax rates. ; Cooper and Willis develop a framework to illustrate how the coordination of expectations was instrumental in the economic and financial crisis. The framework also helps describe the actions policymakers took to limit the severity of the downturn by coordinating expectations to achieve more positive outcomes.

Mind the (approximation) gap: a robustness analysis

This note continues the discussion of the results reported by Ricardo Caballero and Eduardo Engel (1993), hereafter CE, and Ricardo Caballero, Eduardo Engel, and John Haltiwanger (1997), hereafter CEH, by responding to the results reported in Christian Bayer (2008). Russell Cooper and Jonathan Willis (2004), hereafter CW, find that the aggregate nonlinearities reported in CE and CEH may be the consequence of mismeasurement of the employment gap rather than nonlinearities in plant-level adjustment. Bayer reassesses this finding in the context of the CE model in the case where static employment gaps are observed and concludes that the CW result is not robust to alternative shock processes. We concur with Bayer's assessment that the nonlinearity finding is sensitive to the aggregate profitability shock process. We argue, however, that Bayer's finding does not imply that the mismeasurement problem goes away. Instead, the nonlinearity created by mismeasurement is directly related to the level of the aggregate shock. Once the empirical specification properly incorporates the aggregate shock, the nonlinearity test is robust to alternative shock processes and confirms the results in CW. More importantly, we demonstrate that the CW findings are robust to alternative shock processes for the natural case of unobserved gaps as examined by CE and CEH.

What happened to the gains from strong productivity growth?

Over the past decade, the United States economy has experienced strong economic growth due in large part to a resurgence in productivity growth. Little attention has been paid, however, to examining how the gains from this growth have been distributed. In the past few years, observers have noted that the share of income paid to labor has been falling while corporate profits have surged. Also, observers have pointed out that income inequality appears to have widened, with little increase in real wages for low-income workers while executive pay has skyrocketed. Consequently, there has been a growing sentiment among the public that the average household is not sharing in the recent economic prosperity. ; Willis and Wroblewski examine how the gains from increased productivity growth have been distributed. Their analysis focuses on two questions: Has the increase in productivity growth led to a change in the income shares for capital and labor? And, has the strong productivity growth over the past decade led to a change in the distribution of income across households? ; The authors find that the shares of income allocated to labor and capital have been constant on average over the past 35 years. However, during the last decade of high productivity growth, low-income households have seen no increase in real income, and at most only the top 10 percent of the household income distribution experienced real income growth equal to or greater than average labor productivity growth.Productivity

Employment patterns during the recovery: Who are getting the jobs and why?

Employment gains during the recovery have differed sharply depending on workers' level of education, age, and gender. Workers with high levels of education, workers age 55 and older, and men have experienced the strongest employment gains in the recovery. ; Sahin and Willis analyze these employment patterns and find that the patterns appear to reflect two key factors: long-term trends and cyclical fluctuations. The strong employment growth for highly educated and older workers is a continuation of longer term shifts toward a more highly educated workforce and the aging of the baby boom generation. The employment gains for men are associated with men having a stronger cyclical attachment to the labor force when labor market conditions are weak. ; Employment and population patterns suggest that weak demand rather than a mismatch of workers and jobs is the primary explanation for the sluggish recovery. While highly educated workers have experienced the largest job gains, the demand for these workers has not kept pace with the growing population of highly educated workers. Regarding the skewed gains for men, evidence suggests that men are more likely to accept less desirable employment opportunities in periods of weak labor demand, signified by high unemployment and falling wages.

Sticky information and sticky prices

In the U.S. and Europe, prices change somewhere between every six months and once a year. Yet nominal macro shocks seem to have real effects lasting well beyond a year. "Sticky information" models, as posited by Sims (2003), Woodford (2003), and Mankiw and Reis (2002), can reconcile micro flexibility with macro rigidity. We simulate a sticky information model in which price setters do not update their information on macro shocks as often as they update their information on micro shocks. Compared to a standard menu cost model, price changes in this model reflect older macro shocks. We then examine price changes in the micro data underlying the U.S. CPI. These price changes do not reflect older information, thereby exhibiting a similar response to that of the standard menu cost model. However, the empirical test hinges on staggered information updating across firms; it cannot distinguish between a full information model and a model where firms have equally old information.Prices

The Economics of Labor Adjustment: Mind the Gap

We study the inferences about labor adjustment costs obtained by the 'gap methodology' of Caballero and Engel [1993] and Caballero, Engel and Haltiwanger [1997]. In that approach, the policy function of a manufacturing plant is assumed to depend on the gap between a target and the current level of employment. Using time series observations, these studies reject the quadratic cost of adjustment model and find that aggregate employment dynamics depend on the cross sectional distribution of employment gaps. We argue that these conclusions may not be justified. Instead these findings may reflect difficulties measuring the gap. Thus it appears that the gap methodology, as currently employed, may be unable to: (i) identify the costs of labor adjustment and (ii) assess the aggregate implications of labor adjustment costs.

Real rigidities and nominal price changes

A large literature seeks to provide microfoundations of price setting for macro models. A challenge has been to develop a model in which monetary policy shocks have the highly persistent effects on real variables estimated by many studies. Nominal price stickiness has proved helpful but not sufficient without some form of "real rigidity" or "strategic complementarity." We embed a model with a real rigidity a la Kimball (1995), wherein consumers flee from relatively expensive products but do not flock to inexpensive ones. We estimate key model parameters using micro data from the U.S. CPI, which exhibit sizable movements in relative prices of substitute products. When we impose a significant degree of real rigidity, fitting the micro price facts requires very large idiosyncratic shocks and implies large movements in micro quantities.Prices ; Pricing