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Misallocation and Risk

Paper Session

Sunday, Jan. 8, 2023 1:00 PM - 3:00 PM (CST)

Hilton Riverside, Eglington Winton
Hosted By: Econometric Society
  • Chair: Christopher Tonetti, Stanford University

Quantifying The Impact of Red Tape on Investment: A Survey Data Approach

Bruno Pellegrino
,
University of Maryland
Geoffery Zheng
,
New York University-Shanghai

Abstract

An important strand of research in macro-finance investigates which factors impede enterprise investment, and quantifies their aggregate cost. In this paper, we make two contributions to this literature. The first contribution is methodological: we introduce a novel framework to calibrate macroeconomic models with firm-level distortions using enterprise survey micro-data. The core of our innovation is to explicitly model the firms' decisions to report the distortions they face in the survey. Our second contribution is to apply our method across eighty-five countries to characterize the distribution of these distortions and estimate the GDP loss induced by distortionary red tape. Our estimates are based on a dynamic general equilibrium model with heterogenous firms whose capital investment decisions are distorted by red tape. We find that the aggregate cost of red tape varies widely across the countries in our dataset, with an average of 1.8 to 2.1% of GDP and a total of 1.6 trillion dollars. Our framework opens up a new range of applications for enterprise surveys in macro-financial modeling and policy analysis.

Firm Dynamic Hedging and the Labor Risk Premium

Sebastian Di Tella
,
Stanford University
Cedomir Malgieri
,
Stanford University
Christopher Tonetti
,
Stanford University

Abstract

The labor risk premium is a wedge in labor demand that reflects the covariance of the marginal product of labor with the employer's stochastic discount factor. We build a heterogeneous-agent incomplete-market model to measure and understand the labor risk premium and its effect on macroeconomic aggregates. Persistent uninsurable idiosyncratic risk creates a dynamic hedging motive for labor demand and heterogenous labor risk premiums. High productivity firms have higher risk premiums, which create endogenous misallocation. Aggregate fluctuations in idiosyncratic risk change the distribution of risk premiums, and are reflected in time-varying labor and TFP wedges.

Risk-Taking, Capital Allocation and Monetary Policy

Joel M. David
,
Federal Reserve Bank of Chicago
David Zeke
,
University of Southern California

Abstract

We study the implications of firm heterogeneity for business cycle dynamics and monetary policy. Firms differ in their exposure to aggregate risk, which leads to dispersion in costs of capital that influence micro-level resource allocations. The heterogeneous firm economy can be recast as a representative firm New Keynesian model, but where total factor productivity (TFP) endogenously depends on the micro-allocation. The monetary policy regime determines the nature of aggregate risk and hence shapes the allocation and long-run level/dynamics of TFP. Welfare losses from policies ignoring heterogeneity can be substantial, which stem largely from a less productive allocation of resources.

Why Are Returns to Private Business Wealth So Dispersed?

Corina Boar
,
New York University
Denis Gorea
,
Denmark National Bank
Virgiliu Midrigan
,
New York University

Abstract

We use micro data from Orbis on firm level balance sheets and income statements to document that accounting returns for privately held businesses are dispersed, persistent, and negatively correlated with firm equity. We also show that firms experience large, fat-tailed, and partly transitory changes in output that are not fully accompanied by changes in their capital stock and wage bill. This implies that capital and labor choices are risky, as fluctuations in output are accompanied by large changes in firm profits. We interpret this evidence using a model of entrepreneurial dynamics in which return heterogeneity can arise from both limited span of control, as well as from financial frictions which generate differences in financial returns to saving. The model matches the evidence on accounting returns and predicts that financial returns to saving are half as large and dispersed as accounting returns. Financial returns mostly reflect risk, as opposed to collateral constraints which play a negligible role due to firms’ unwillingness to expand and take on more risk.
JEL Classifications
  • E22 - Investment; Capital; Intangible Capital; Capacity
  • O40 - General