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We examine how consumption responds to changes in sentiment regarding government economic policy using cross-sectional variation across counties in the ideological predisposition of constituents. When the incumbent party loses a presidential election, individuals in counties more ideologically predisposed toward the losing party experience a dramatic and discontinuous relative decrease in optimism on government economic policy. Using the interaction of constituent ideology in a county with election timing as an instrument, we estimate the impact of government policy sentiment shocks on consumer spending, and we find a very small effect that cannot be statistically distinguished from zero. The small magnitude of the effect is estimated precisely. For example, we can reject the hypothesis that pessimism regarding government economic policy effectiveness during the Great Recession had as large an effect on consumption as the negative shock to household net worth coming from the collapse in house prices.

Objective: To compare the diagnostic accuracy of magnetic resonance imaging (MRI) and ultrasound (USG) in clinically suspected cases of placenta accreta in previous scar patients taking clinical outcome as Gold standard. Study Design: Cross-sectional validation study. Duration and Place of Study: Combined Military Hospital, Quetta Pakistan, from Oct 2016 to Mar 2017. Methodology: This study enrolled pregnant ladies having history of previous one or more caesarean sections, age ranging from 20-40 years and gestational age 37-41 weeks. The ultrasound & magnetic resonance imaging findings were recorded as positive or negative for placenta accreta and then correlated with clinical outcome. Results: The data of 155 patients were analysed. Out of 155, 86 patients were found to be positive on magnetic resonance imaging. Among them, 78 were found to be true positive and 8 were false positive. While among, 69 patients with negative findings on magnetic resonance imaging, 12 were false negative whereas 57 were true negative. Overall diagnostic accuracy, specificity, sensitivity, positive predictive value and negative predictive value of magnetic resonance imaging for placenta accreta was 87.09%, 82.60%, 90.69%, 86.67% & 82.69% respectively. In 82 patients with positive findings on ultrasound, 71 were true positive and 11 were found to be False Positive. While among, 73 ultrasound negative patients, 14 were false negative whereas 59 were true negative. Overall diagnostic accuracy, sensitivity, specificity, positive and negative predictive value of ultrasound for placenta accreta was 83.87%, 86.5%, 80.82%, 83.53% and 84.28% respectively. Conclusion: Magnetic resonance imaging andultrasonography are highly sensitive and accurate..............

Credit supply expansion boosts housing speculation and amplifies the housing cycle. The surge in private-label mortgage securitization in 2003 fueled a large expansion in mortgage credit supply by lenders financed with noncore deposits. Areas more exposed to these lenders experienced a large relative rise in transaction volume driven by a small group of speculators, and these areas simultaneously witnessed an amplified housing boom and bust. Consistent with the importance of belief heterogeneity, house price growth expectations of marginal buyers rose during the boom, while housing market pessimism among the general population increased.

From 2011 to 2014, the Brazilian government conducted a heavily advertised major credit expansion program through government banks as part of its effort to stimulate the economy. Using administrative data on individual-level borrowing and spending, we find that the program led to a substantial rise in borrowing by government employees, especially those with low financial literacy. We trace the impact of credit stimulus on borrowers' consumption through the 2011-16 business cycle, and find that the credit stimulus resulted in higher consumption volatility and lower average consumption over the cycle. Our results suggest a potential downside of using household credit as stimulus in emerging markets.

Do low interest rates contribute to the rise in market concentration? Using data on firm financials and high frequency monetary policy shocks, we find that falling interest rates disproportionately benefit industry leaders, especially when the initial interest rate is already low. Falling rates raise the valuation of industry leaders relative to industry followers and this effect snowballs as the interest rate approaches zero. There are multiple channels through which falling rates disproportionately benefit industry leaders: (i) the cost of borrowing falls more for industry leaders, (ii) industry leaders are able to raise more debt, increase leverage, and buyback more shares, and (iii) capital investment and acquisitions increase more for industry leaders. All three of these effects also snowball as the interest rate approaches zero. The findings provide empirical support to the idea that extremely low interest rates and the rise of superstar firms are connected.

Downward pressure on the natural rate of interest (r*) is often attributed to an increase in saving. This study uses microeconomic data from the SCF+ to explore the relative importance of demographic shifts versus rising income inequality on the evolution of saving behavior in the United States from 1950 to 2019. The evidence suggests that rising income inequality is more important than the aging of the baby boom generation in explaining the decline in r*. Saving rates are significantly higher for high income households within a given birth cohort relative to other households in the same birth cohort, and there has been a large rise in income shares for high income households since the 1980s. The result has been a large rise in saving by high income earners since the 1980s, which is the exact same time period during which r* has fallen. Differences in saving rates across the working age distribution are smaller, and there has not been a consistent monotonic shift in income toward any given age group. Both findings challenge the view that demographic shifts due to the aging of the baby boom generation explain the decline in r*.

From 2011 to 2014, the Brazilian government conducted a heavily advertised major credit expansion program through government banks as part of its effort to stimulate the economy. Using administrative data on individual-level borrowing and spending, we find that the program led to a substantial rise in borrowing by government employees, especially those with low financial literacy. We trace the impact of credit stimulus on borrowers' consumption through the 2011-16 business cycle, and find that the credit stimulus resulted in higher consumption volatility and lower average consumption over the cycle. Our results suggest a potential downside of using household credit as stimulus in emerging markets. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

There has been a large rise in savings by Americans in the top 1% of the income or wealth distribution over the past 40 years, which we call the saving glut of the rich. Instead of financing investment, this saving glut has been associated with dissaving by the non-rich and dissaving by the government. An unveiling of the financial sector reveals that rich households have accumulated substantial financial assets that are direct claims on U.S. government and household debt. State-level analysis shows that the rise in top income shares has been important in generating the rise in savings by the rich. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Credit supply expansion can affect an economy by increasing productive capacity or by boosting household demand. In this study, we develop a test to determine if the household demand channel is present, and we implement the test using both a natural experiment in the United States in the 1980s and an international panel of 56 countries over the last several decades. Consistent with the importance of the household demand channel, we find that credit supply expansion boosts nontradable sector employment and the price of nontradable goods, with limited effects on tradable sector employment. Such credit expansions amplify the business cycle and lead to more severe recessions.

What is the role of the financial sector in explaining business cycles? This question is as old as the field of macroeconomics, and an extensive body of research conducted since the Global Financial Crisis of 2008 has offered new answers. The specific idea put forward in this article is that expansions in credit supply, operating primarily through household demand, have been an important driver of business cycles. We call this the credit-driven household demand channel. While this channel helps explain the recent global recession, it also describes economic cycles in many countries over the past 40 years.

We show that firm demand-side factors are strong drivers of procyclical refinancing behavior over the credit cycle using novel data from the Shared National Credit program. Firms are more likely to refinance early when credit conditions are good to keep the effective maturity of their loans long and hedge against having to refinance in tight credit conditions. High credit quality firms are better able to hedge, making their refinancing propensity more sensitive to credit cycles than less creditworthy firms. There is a strong relationship between refinancing a loan, and subsequent growth in capital expenditure, especially when a loan is refinanced early.

An increase in the household debt to GDP ratio in the medium run predicts lower subsequent GDP growth, higher unemployment, and negative growth forecasting errors in a panel of 30 countries from 1960 to 2012. Consistent with the “credit supply hypothesis,” we show that low mortgage spreads predict an increase in the household debt to GDP ratio and a decline in subsequent GDP growth when used as an instrument. The negative relation between the change in household debt to GDP and subsequent output growth is stronger for countries that face stricter monetary policy constraints as measured by a less flexible exchange rate regime, proximity to the zero lower bound, or more external borrowing. A rise in the household debt to GDP ratio is contemporaneously associated with a consumption boom followed by a reversal in the trade deficit as imports collapse. We also uncover a global household debt cycle that partly predicts the severity of the global growth slowdown after 2007. Countries with a household debt cycle more correlated with the global household debt cycle experience a sharper decline in growth after an increase in domestic household debt.

Data de publicació electrònica: 15-06-2019 This paper studies credit booms exploiting the Spanish matched credit register over 2001–2009. We extend Khwaja and Mian’s (2008) loan-level estimator by incorporating firm-level general equilibrium adjustments. Higher ex-ante bank real-estate exposure increases credit supply to non-real-estate firms, but effects are neutralized by firm-level adjustments for firms with existing banking relationships. However, higher bank real-estate exposure increases risk-taking, by relaxing standards of existing borrowers (cheaper, longer-term and less collateralized credit), and by expanding credit on the extensive margin to first-time borrowers that default substantially more. Results suggest that the mechanism at work is greater liquidity via securitization of real-estate assets. José-Luis Peydró acknowledges financial support from project ECO2015-68182-P (MINECO/FEDER, UE) and the European Research Council Grant (project 648398).

Treating fraudulently overstated income on mortgage applications as true income can lead to incorrect conclusions on the nature of the mortgage credit supply expansion toward marginal borrowers from 2002 to 2005. A positive gap between zip-code-level income growth calculated from mortgage applications and income growth from the IRS likely reflects mortgage fraud, not an improvement in home-buyer income. In support of the credit supply view, mortgage credit for home purchase expanded significantly more in low-credit-score neighborhoods on both the extensive and intensive margins from 2002 to 2005, even though these neighborhoods deteriorated on many measures of income prospects.

How does the production side of the economy respond to a low interest rate environment? This study provides a new theoretical result that low interest rates encourage market concentration by giving industry leaders a strategic advantage over followers, and this effect strengthens as the interest rate approaches zero. The model provides a unified explanation for why the fall in long-term interest rates has been associated with rising market concentration, reduced dynamism, a widening productivity-gap between industry leaders and followers, and slower productivity growth. Support for the model’s key mechanism is established by showing that a decline in the ten year Treasury yield generates positive excess returns for industry leaders, and the magnitude of the excess returns rises as the Treasury yield approaches zero.

This study provides a new theoretical result that a decline in the long-term interest rate can trigger a stronger investment response by market leaders relative to market followers, thereby leading to more concentrated markets, higher profits, and lower aggregate productivity growth. This strategic effect of lower interest rates on market concentration implies that aggregate productivity growth declines as the interest rate approaches zero. The framework is relevant for anti-trust policy in a low interest rate environment, and it provides a unified explanation for rising market concentration and falling productivity growth as interest rates in the economy have fallen to extremely low levels.

Speculation is a critical channel through which credit supply expansion affects the housing cycle. The surge in private label mortgage securitization in 2003 fueled a large expansion in mortgage credit supply by lenders financed with non-core deposits. Areas more exposed to these lenders experienced a large relative rise in transaction volume driven by a small group of speculators, and these areas simultaneously witnessed an amplified housing boom and bust. Consistent with the importance of belief heterogeneity, house price growth expectations of marginal buyers rose during the boom, while housing market pessimism among the general population increased.

From 2007 to 2009, states without a judicial requirement for foreclosures were twice as likely to foreclose on delinquent homeowners. Analysis of borders of states with differing foreclosure laws reveals a discrete jump in foreclosure propensity as one enters nonjudicial states. Using state judicial requirement as an instrument for foreclosures, we show that foreclosures led to a large decline in house prices, residential investment, and consumer demand from 2007 to 2009. As foreclosures subsided from 2011 to 2013, the foreclosure rates in nonjudicial and judicial requirement states converged and we find some evidence of a stronger recovery in nonjudicial states

Every major financial crisis leaves its unique footprint on economic thought. The early banking crises taught us the importance of financial sector liquidity and the lender of last resort. The Great Depression highlighted the devastating effects of bank failures and the need for counter-cyclical fiscal and monetary policy. The Great Recession has brought to the surface the importance of credit-driven business cycles that operate through household demand. We discuss empirical evidence accumulated over the last decade supporting this view, and we also describe accompanying theoretical work that helps define these concepts.

Speculation is a critical channel through which credit supply expansion affects the housing cycle. The surge in private label mortgage securitization in 2003 fueled a large expansion in mortgage credit supply by lenders financed with non-core deposits. Areas more exposed to these lenders experienced a large relative rise in transaction volume driven by a small group of speculators, and these areas simultaneously witnessed an amplified housing boom and bust. Consistent with the importance of belief heterogeneity, house price growth expectations of marginal buyers rose during the boom, while housing market pessimism among the general population increased.

We study the business cycle consequences of credit supply expansion in the U.S. The 1980's credit boom resulted in stronger credit expansion in more deregulated states, and these states experience a more amplified business cycle. A new test shows that amplification is primarily driven by the local demand rather than the production capacity channel. States with greater exposure to credit expansion experience larger increases in household debt, the relative price of non-tradable goods, nominal wages, and non-tradable employment. Yet there is no change in tradable sector employment. Eventually states with greater exposure to credit expansion experience a significantly deeper recession.

We show that deterioration in household balance sheets, or the housing net worth channel, played a significant role in the sharp decline in U.S. employment between 2007 and 2009. Counties with a larger decline in housing net worth experience a larger decline in non-tradable employment. This result is not driven by industry-specific supply-side shocks, exposure to the construction sector, policy-induced business uncertainty, or contemporaneous credit supply tightening. We find little evidence of labor market adjustment in response to the housing net worth shock. There is no significant expansion of the tradable sector in counties with the largest decline in housing net worth. Further, there is little evidence of wage adjustment within or emigration out of the hardest hit counties.

How do large scale, involuntary migrations and population exchanges affect sending and receiving communities? We examine the case of the partition of India in which approximately 17 million people moved within four years, resulting in one of the largest and most rapid population exchanges in human history. We find large effects due to the migration on a district's educational, occupational, and gender composition. Due to higher education levels amongst migrants, districts with 10 per cent greater inflows saw their literacy rates increase by 3 percentage points, while a 10 per cent increase in outflows reduced literacy by 1.2 percentage points. Due to disparities in the amount of land vacated by migrants, Indian districts with 10 per cent greater inflows saw a decline of 11 per centin agricultural occupations. Districts that experienced high inflows and outflows also experienced changes in gender composition. While the partition, driven along religious lines, increased religious homogenization within communities, our results suggest that this was accompanied by increased educational and occupational differences within religious groups. We conclude that these compositional effects, in addition to an aggregate population impact, are probably features of involuntary migrations and population exchanges and, as in the case of India, Pakistan, and Bangladesh, can have important long-term consequences.

Countries become more politically polarized and fractionalized following financial crises, reducing the likelihood of major financial reforms precisely when they might have especially large benefits. The evidence from a large sample of countries provides strong support for the hypotheses that following a financial crisis, voters become more ideologically extreme and ruling coalitions become weaker, independently of whether they were initially in power. The evidence that increased polarization and weaker governments reduce the chances of financial reform and that financial crises lead to legislative gridlock and anemic reform is less clear-cut. The US debt overhang resolution is discussed as an illustration. (JEL D72, E32, E44, G01, H63)

We investigate the consumption consequences of the 2006--9 housing collapse using the highly unequal geographic distribution of wealth losses across the United States. We estimate a large elasticity of consumption with respect to housing net worth of 0.6 to 0.8, which soundly rejects the hypothesis of full consumption risk-sharing. The average marginal propensity to consume (MPC) out of housing wealth is 5--7 cents with substantial heterogeneity across ZIP codes. ZIP codes with poorer and more levered households have a significantly higher MPC out of housing wealth. In line with the MPC result, ZIP codes experiencing larger wealth losses, particularly those with poorer and more levered households, experience a larger reduction in credit limits, refinancing likelihood, and credit scores. Our findings highlight the role of debt and the geographic distribution of wealth shocks in explaining the large and unequal decline in consumption from 2006 to 2009. JEL Codes: E21, E32, E44, E60. Copyright 2013, Oxford University Press.

U.S. households accumulated debt at an unprecedented pace between 2001 and 2007. In the aftermath of the housing downturn, deleveraging by highly indebted households is the most important factor responsible for the current economic slump. The deleveraging process has led to sharp drops in both aggregate demand and employment. We argue that meaningful policies aimed at facilitating debt-reduction for under-water homeowners in the short run, and replacing non-contingent debt with contingent-debt in the long run are essential for a robust and sustained recovery.

US household leverage sharply increased in the years preceding the 2007 eco nomic recession. The top panel of Figure 1 shows the steady rise in household debt since 1975, which accelerated beginning in 2002. In just five years, the household sector doubled its debt balance. In comparison, the contemporaneous increase in corporate debt was modest. The middle panel shows that the increase in household debt from 2002 to 2007 translated into a striking rise in household leverage as mea sured by the debt-to-income ratio. During the same time period, corporate leverage declined. The dramatic absolute and relative rise in US household leverage from 2002 to 2007 is unprecedented compared to the last 25 years. One reason for the rapid expansion in household leverage during this period is that mortgage credit became more easily available to new home buyers (Mian and Sufi 2009). Strong house price appreciation from 2002 to 2006, however, which may have been fueled by the availability of mortgage credit to a riskier set of new home buyers, could also have had an important feedback effect on household lever age through existing homeowners. Given that 65 percent of US households already owned their primary residence before the acceleration in house prices, the feedback from house prices to borrowing may be an important source of the rapid rise in household leverage that preceded the economic downturn. Our central goals in this study are to estimate how homeowner borrowing responded to the increase in house prices and to identify which homeowners responded most aggressively. We examine this home equity-based borrowing channel using a dataset consisting of anonymous individual credit files of a national consumer credit bureau agency. We follow a random sample of over 74,000 US homeowners (who owned their homes as of 1997) at an annual frequency from the end of 1997 until the end of 2008. The bottom panel of Figure 1 plots the growth in debt of 1997 homeowners over time and shows that existing homeowners borrow significantly more debt as their house prices appreciate from 2002 to 2006. While the aggregate trend is suggestive

We examine the effects of constituents, special interests, and ideology on congressional voting on two of the most significant pieces of legislation in US economic history. Representatives whose constituents experience a sharp increase in mortgage defaults are more likely to support the Foreclosure Prevention Act, especially in competitive districts. Interestingly, representatives are more sensitive to defaults of their own-party constituents. Special interests in the form of higher campaign contributions from the financial industry increase the likelihood of supporting the Emergency Economic Stabilization Act. However, ideologically conservative representatives are less responsive to both constituent and special interests. (JEL D72, G21, G28)

This paper shows that household leverage as of 2006 is a powerful statistical predictor of the severity of the 2007–09 recession across U.S. counties. Those counties that experienced a large increase in household leverage from 2002 to 2006 showed a sharp relative decline in durable consumption starting in the third quarter of 2006—a full year before the official beginning of the recession in the fourth quarter of 2007. Similarly, counties with the highest reliance on credit card borrowing reduced durable consumption by significantly more following the financial crisis of the fall of 2008. Overall, the statistical model shows that household leverage growth and dependence on credit card borrowing as of 2006 explain a large fraction of the overall consumer default, house price, unemployment, residential investment, and durable consumption patterns during the recession. The findings suggest that a focus on household finance may help elucidate the sources of macroeconomic fluctuations.