Erwan Quintin

Limited Enforcement, Financial Intermediation, and Economic Development: A Quantitative Assessment

We present a model of economic development where the importance of financial differences caused by limited enforcement can be measured. Economies where enforcement is poor direct less capital to the production sector and employ less efficient technologies. Calibrated simulations reveal that the resulting effect on output is large. Furthermore, the model correctly predicts that the average scale of production should rise with the quality of enforcement. Finally, we find that the importance of limited enforcement rises with the importance of capital in production.

Factor Utilization and the Real Impact of Financial Crises

Total factor productivity (TFP) falls markedly during financial crises, as we document with recent evidence from Latin America and Asia. We study the ability of various versions of the small open economy neoclassical growth model to account for the behavior of inputs, output, and aggregate productivity during Mexicos 1994-95 crisis. We find that that capital utilization and labor hoarding can account for a large fraction of the fall in measured productivity. While capital utilization alone does little to improve the performance of the model during the crisis, introducing labor hoarding significantly reduces the gap between the evidence and the predicted fall in output and hours.

Financial Crises and Total Factor Productivity

Total factor productivity (TFP) falls markedly during financial crises, as we document with recent evidence from Mexico and Asia. These falls are unusual in magnitude and present a difficult challenge for the standard small open economy neoclassical model. We show in the case of Mexico’s 1994-95 crisis that the model predicts that inputs and output should have fallen much more than they did. Using models with endogenous factor utilization, we find that capital utilization and labor hoarding can account for a large fraction of the TFP fall during the crisis. However, these models also predict that output should fall significantly more than in the data. Given the behavior of TFP, the biggest challenge may not be explaining why output falls so much following financial crises, but rather why it falls so little.

Growing Old Together: Firm Survival and Employee Turnover

Labor market outcomes such as turnover and earnings are correlated with employer characteristics, even after controlling for observable differences in worker characteristics. We argue that this systematic relationship constitutes strong evidence in favor of models where workers choose how much to invest in future productivity. Because employer characteristics are correlated with firm survival, returns to these investments vary across firm types. We describe a dynamic general equilibrium model where workers employed in firms more likely to survive choose to devote more time to productivity enhancing activities, and therefore have a steeper earnings-tenure profile. Our model also predicts that quit rates should be lower in firms more likely to survive, and should tend to fall during slow times, while job destruction rates should rise. These predictions, we argue, are borne out by the existing empirical evidence.

Raising the bar for models of turnover

It is well known that turnover rates fall with employee tenure and employer size. We document a new empirical fact about turnover: Among surviving employers, separation rates are positively related to industry-level exit rates, even after controlling for tenure and size. Specifically, in a dataset with over 13 million matched employee-employer observations for France, we find that, all else equal, a 1 percentage point increase in exit rates raises separation rates by 1/2 percentage point on average. Among current year hires, the average effect is twice as large. This relationship between exit rates and separation rates is robust to a host of data and statistical considerations. We review several standard models of worker turnover and argue that a model with firm-specific human capital accumulation most easily accounts for this new empirical fact.

Default when Current House Prices are Uncertain

We specify a new model of homeowner mortgage default. In our model, homeowners do not know the current price of their home until they sell; rather, they maintain an unbiased guess of the price and optimally update this guess as new information, such as the sale price of similar homes, is observed. Compared to the predictions of a model where homeowners know the current price with certainty, uncertainty about the price considerably reduces the probability homeowners default even when the current price is likely substantially less than the mortgage balance. We estimate model parameters using data on self-assessed house prices, house-price indexes and mortgage defaults. We find uncertainty about the current level of house prices reduced defaults for a cohort of prime mortgages issued in 2006 by 25 percent in 2010 and 2011.

On the Nature of Self-Assessed House Prices

In models of optimal household behavior, the value of housing affects consumption, savings and other variables. But homeowners do not know the value of their house for certain until they sell, so while they live in their home they must rely on local house price data to estimate its value. This paper uses data from the recent housing boom and bust to demonstrate that changes in households’ self-assessed home values are strongly consistent with the predictions of a model in which households optimally filter available house price data. Specifically, we show that self-assessed house prices did not increase as rapidly as house price indexes during the boom and did not decline as severely during the bust. A Kalman Filter model nearly perfectly replicates these data. These findings have direct implications for economists studying asking prices during booms and busts, optimal default decisions and other key housing-related phenomena.

Firm Specific Human Capital Vs. Job Matching: A New Test

We use a unique data set on employee turnover by industry in Arizona to test competing theories of turnover. We find that industries with lower establishment survival rates have more employee turnover, even after controlling for differences in the distribution of employee tenure. This result is consistent with a model of turnover where employees choose how much firm specific human capital to accumulate, but it is inconsistent with job matching models.