Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market

Do liquidity shocks matter? While even a simple `yes' or `no' presents identification challenges, going beyond this entails tracing how such shocks to lenders are passed on to borrowers, and whether borrowers can in turn cushion these shocks through the credit market. This paper does so by using data that follows all loans made by lenders to borrowing firms in Pakistan, and exploiting cross-bank variation in liquidity shocks induced by the unanticipated nuclear tests in 1998. We isolate the causal impact of the bank lending channel by showing that for the same firm borrowing from two different banks, its loan from the bank experiencing a 1% larger decline in liquidity drops by an additional 0.6%. The liquidity shock also lowers the probability of continued lending to old clients and extending credit to new ones. Although this lending channel affects all firms significantly, large firms and those with strong business and political ties completely compensate the effect by borrowing more from more liquid banks - both through existing and new banking relationships. In contrast, small unconnected firms are entirely unable to hedge and face large drops in overall borrowing and increased financial distress. The liquidity shocks thus have large distributional consequences.

What explains high unemployment? The aggregate demand channel

A drop in aggregate demand driven by shocks to household balance sheets is responsible for a large fraction of the decline in U.S. employment from 2007 to 2009. The aggregate demand channel for unemployment predicts that employment losses in the non-tradable sector are higher in high leverage U.S. counties that were most severely impacted by the balance sheet shock, while losses in the tradable sector are distributed uniformly across all counties. We find exactly this pattern from 2007 to 2009. Alternative hypotheses for job losses based on uncertainty shocks or structural unemployment related to construction do not explain our results. Using the relation between non-tradable sector job losses and demand shocks and assuming Cobb-Douglas preferences over tradable and non-tradable goods, we quantify the effect of aggregate demand channel on total employment. Our estimates suggest that the decline in aggregate demand driven by household balance sheet shocks accounts for almost 4 million of the lost jobs from 2007 to 2009, or 65% of the lost jobs in our data.

Foreclosures, House Prices, and the Real Economy

States without a judicial requirement for foreclosures are twice as likely to foreclose on delinquent homeowners. Comparing zip codes close to state borders with differing foreclosure laws, we show that foreclosure propensity and housing inventory jump discretely as one enters non-judicial states. There is no jump in other homeowner attributes such as credit scores, income, or education levels. The increase in foreclosure rates in non-judicial states persists for at least five years. Using the judicial / non-judicial law as an instrument for foreclosures, we show that foreclosures lead to a large decline in house prices, residential investment, and consumer demand.

Bank Credit and Business Networks

We construct the topology of business networks across the population of firms in an emerging economy, Pakistan, and estimate the value that membership in large yet diffuse networks brings in terms of access to bank credit and improving financial viability. We link two firms if they have a common director. The resulting topology includes a "giant network" that is order of magnitudes larger than the second largest network. While it displays "small world" properties and comprises 5 percent of all firms, it accesses two-thirds of all bank credit. We estimate the value of joining this giant network by exploiting "incidental" entry and exit of firms over time. Membership increases total external financing by 16.6 percent, reduces the propensity to enter financial distress by 9.5 percent, and better insures firms against industry and location shocks. Firms that join improve financial access by borrowing more from new lenders, particularly those already lending to their (new) giant-network neighbors. Network benefits also depend critically on where a firm connects to in the network and on the firm's pre-existing strength.

Resolving Debt Overhang: Political Constraints in the Aftermath of Financial Crises

Debtors bear the brunt of a decline in asset prices associated with financial crises and policies aimed at partial debt relief may be warranted to boost growth in the midst of crises. Drawing on the US experience during the Great Recession of 2008-09 and historical evidence in a large panel of countries, we explore why the political system may fail to deliver such policies. We find that during the Great Recession creditors were able to use the political system more effectively to protect their interests through bailouts. More generally we show that politically countries become more polarized and fractionalized following financial crises. This results in legislative stalemate, making it less likely that crises lead to meaningful macroeconomic reforms.

Fraudulent Income Overstatement on Mortgage Applications during the Credit Expansion of 2002 to 2005

Academic research, government inquiries, and press accounts show extensive mortgage fraud during the housing boom of the mid-2000s. We explore a particular type of mortgage fraud: the overstatement of income on mortgage applications. We define “income ov

The Effects of Fiscal Stimulus: Evidence from the 2009 ‘Cash for Clunkers’ Program

A key rationale for fiscal stimulus is to boost consumption when aggregate demand is perceived to be inefficiently low. We examine the ability of the government to increase consumption by evaluating the impact of the 2009 “Cash for Clunkers” program on short and medium run auto purchases. Our empirical strategy exploits variation across U.S. cities in ex-ante exposure to the program as measured by the number of “clunkers” in the city as of the summer of 2008. We find that the program induced the purchase of an additional 360,000 cars in July and August of 2009. However, almost all of the additional purchases under the program were pulled forward from the very near future; the effect of the program on auto purchases is almost completely reversed by as early as March 2010 – only seven months after the program ended. The effect of the program on auto purchases was significantly more short-lived than previously suggested. We also find no evidence of an effect on employment, house prices, or household default rates in cities with higher exposure to the program.

The Consequences of Mortgage Credit Expansion: Evidence from the 2007 Mortgage Default Crisis

We demonstrate that a rapid expansion in the supply of mortgages driven by disintermediation explains a large fraction of recent U.S. house price appreciation and subsequent mortgage defaults. We identify the effect of shifts in the supply of mortgage credit by exploiting within-county variation across zip codes that differed in latent demand for mortgages in the mid 1990s. From 2001 to 2005, high latent demand zip codes experienced large relative decreases in denial rates, increases in mortgages originated, and increases in house price appreciation, despite the fact that these zip codes experienced significantly negative relative income and employment growth over this time period. These patterns for high latent demand zip codes were driven by a sharp relative increase in the fraction of loans sold by originators shortly after origination, a process which we refer to as "disintermediation." The increase in disintermediation-driven mortgage supply to high latent demand zip codes from 2001 to 2005 led to subsequent large increases in mortgage defaults from 2005 to 2007. Our results suggest that moral hazard on behalf of originators selling mortgages is a main culprit for the U.S. mortgage default crisis.