Credit, Misallocation and Productivity: A Disaggregated Analysis
Sangeeta Pratap () and
Carlos Urrutia ()
Review of Economic Dynamics, 2019, vol. 34, 61-86
We study the effect of credit conditions on the allocation of inputs, and their implications for aggregate TFP growth. For this, we build a new dataset for Mexican manufacturing merging real and financial data at the 4-digit industrial sector level. Using a simple misallocation framework, we find that changes in inter-industry allocative efficiency account for 41 percent of changes in aggregate TFP. We then construct a model of firm behavior with working capital constraints and borrowing limits which generate sub-optimal use of inputs, and calibrate it to our data. We find that the model accounts for 38 percent of the observed variability in efficiency. An important conclusion is that heterogeneity in credit conditions across industries is key in accounting for efficiency gains. Despite overall credit stagnation, more access to credit and lower interest rates to distorted industries contributed substantially to the recovery from the 2009 recession, suggesting a plausible mechanism for credit-less recoveries. (Copyright: Elsevier)
Keywords: Misallocation; Total factor productivity; Financial frictions; Interest rates (search for similar items in EconPapers)
JEL-codes: E44 O11 O41 O47 (search for similar items in EconPapers)
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