Showing papers by "Federal Reserve Bank of Dallas published in 2015"

Long-Run Effects in Large Heterogenous Panel Data Models with Cross-Sectionally Correlated Errors

Abstract: This paper develops a cross-sectionally augmented distributed lag (CS-DL) approach to the estimation of long-run effects in large dynamic heterogeneous panel data models with cross-sectionally dependent errors. The asymptotic distribution of the CS-DL estimator is derived under coefficient heterogeneity in the case where the time dimension (T) and the crosssection dimension (N) are both large. The CS-DL approach is compared with more standard panel data estimators that are based on autoregressive distributed lag (ARDL) specifications. It is shown that unlike the ARDL type estimator, the CS-DL estimator is robust to misspecification of dynamics and error serial correlation. The theoretical results are illustrated with small sample evidence obtained by means of Monte Carlo simulations, which suggest that the performance of the CS-DL approach is often superior to the alternative panel ARDL estimates particularly when T is not too large and lies in the range of 30≤T

Is There a Debt-Threshold Effect on Output Growth?

Abstract: This paper studies the long-run impact of public debt expansion on economic growth and investigates whether the debt-growth relation varies with the level of indebtedness. Our contribution is both theoretical and empirical. On the theoretical side, we develop tests for threshold effects in the context of dynamic heterogeneous panel data models with cross-sectionally dependent errors and illustrate, by means of Monte Carlo experiments, that they perform well in small samples. On the empirical side, using data on a sample of 40 countries (grouped into advanced and developing) over the 1965-2010 period, we find no evidence for a universally applicable threshold effect in the relationship between public debt and economic growth, once we account for the impact of global factors and their spillover effects. Regardless of the threshold, however, we find significant negative long-run effects of public debt build-up on output growth. Provided that public debt is on a downward trajectory, a country with a high level of debt can grow just as fast as its peers.

The Economy of People’s Republic of China from 1953

Abstract: This paper studies growth and structural transformation of the Chinese economy from 1953 to 2012 through a lens of a two-sector growth model. The main goal of the paper is to provide a systematic analysis of both the pre-1978 reform and post-1978 reform periods in a unified framework. First, we construct a dataset that allows the application of the neoclassical model and computation of wedges, their components, and rates of TFP growth. Second, we determine the key quantitative factors behind growth and structural transformation. The changes in the intersectoral labor wedge play the dominant role in accounting for the change in the share of labor force in agriculture. TFP growth and changes in the intersectoral wedges are the two most significant factors contributing to GDP growth. Further decomposing the effects of reduction in wedges, we find that two components: the production component (the gap between the ratio of the marginal products of labor and relative wages) and the consumption component (the gap between the marginal rate of substitution and the relative prices) play a particularly large role. Third, we use the pre-reform period as a key benchmark to measure the success of the post-1978 reforms. We show that reforms yielded a significant growth and structural transformation differential. GDP growth is 4.2 percentage points higher and the share of the labor force in agriculture is 23.9 percentage points lower compared with the continuation of the pre-1978 policies. We provide extensive historical evidence for the reforms that are consistent with the evolution of the components of the wedges. The decrease in the production component of the intersectoral wedge is consistent with increased competition and demonopolization of the economy. The decrease in the consumption component of the wedge is consistent with the price and housing reforms. Finally, we project the path of the Chinese economy until 2050 and also calculate a lower bound on future growth by projecting pre-reform trends.

The Rescue of Fannie Mae and Freddie Mac

Abstract: We describe and evaluate the measures taken by the U.S. government to rescue Fannie Mae and Freddie Mac in September 2008. We begin by outlining the business model of these two firms and their role in the U.S. housing finance system. Our focus then turns to the sources of financial distress that the firms experienced and the events that ultimately led the government to take action in an effort to stabilize housing and financial markets. We describe the various resolution options available to policymakers at the time and evaluate the success of the choice of conservatorship, and other actions taken, in terms of five objectives that we argue an optimal intervention would have fulfilled. We conclude that the decision to take the firms into conservatorship and invest public funds achieved its short-run goals of stabilizing mortgage markets and promoting financial stability during a period of extreme stress. However, conservatorship led to tensions between maximizing the firms’ value and achieving broader macroeconomic objectives, and, most importantly, it has so far failed to produce reform of the U.S. housing finance system.

Understanding the Decline in the Price of Oil Since June 2014

Abstract: Some observers have conjectured that oil supply shocks in the United States and in other countries are behind the plunge in the price of oil since June 2014. Others have suggested that a major shock to oil price expectations occurred when in late November 2014 OPEC announced that it would maintain current production levels despite the steady increase in non-OPEC oil production. Both conjectures are perfectly reasonable ex ante, yet we provide quantitative evidence that neither explanation appears supported by the data. We show that more than half of the decline in the price of oil was predictable in real time as of June 2014 and therefore must have reflected the cumulative effects of earlier oil demand and supply shocks. Among the shocks that occurred after June 2014, the most influential shock resembles a negative shock to the demand for oil associated with a weakening economy in December 2014. In contrast, there is no evidence of any large positive oil supply shocks between June and December. We conclude that the difference in the evolution of the price of oil, which declined by 44% over this period, compared with other commodity prices, which on average only declined by about 5%-15%, reflects oil-market specific developments that took place prior to June 2014.

A theory of discrete choice with information costs

Abstract: We present a theory of discrete choice with information costs that supports deliberate stochastic choice. We use a unique experimental dataset to distinguish between errors arising from limitations on a decision maker's cognitive abilities and conscious disregard of information. Experimental evidence strongly favors the latter explanation. The data also allows us to directly estimate the shape and size of information costs for individual participants. Furthermore, in line with a dynamic extension of our theory, we find that accumulated knowledge of the environment improves response consistency.

A Top-Down Approach to Stress-Testing Banks

Abstract: We propose a simple, parsimonious, and easily implementable method for stress-testing banks using a top-down approach that evaluates the impact of shocks to macroeconomic variables on banks' capitalization. Our method relies on a variable selection method to identify the macroeconomic drivers of banking variables combined with a principal component analysis. We show how it can be used to make projections, conditional on exogenous paths of macroeconomic variables. We also rely on this approach to identify the balance sheet and income statement factors that are key in explaining bank heterogeneity in response to macroeconomic shocks. We apply our method, using alternative estimation strategies and assumptions, to the 2013 and 2014 stress tests of medium- and large-size U.S. banks mandated by the Dodd-Frank Act, and obtain stress projections for capitalization measures at the bank-by-bank and industry-wide levels. Our results suggest that while capitalization of the U.S. banking industry has improved in recent years, under reasonable assumptions regarding growth in assets and loans, the stress scenarios can imply sizable deterioration in banks' capital positions.

The failure of supervisory stress testing: Fannie Mae, Freddie Mac, and OFHEO

Abstract: Stress testing has recently become a critical risk management and capital planning tool for large financial institutions and their supervisors around the world. However, the one prior U.S. experience tying stress test results to capital requirements was a spectacular failure: The office of Federal Housing Enterprise Oversight’s (OFHEO’s) risk-based capital stress test for Fannie Mae and Freddie Mac. We study a key component of OFHEO’s model—the performance of 30-year fixedrate mortgages—and find two key problems. First, OFHEO left the model specification and associated parameters static for the entire time the rule was in force. Second, the house prices stress scenario was insufficiently dire. We show how each problem resulted in a significant underprediction of mortgage credit losses and associated capital needs at Fannie Mae and Freddie Mac during the housing bust.

The Other (Commercial) Real Estate Boom and Bust: The Effects of Risk Premia and Regulatory Capital Arbitrage

Abstract: The last decade’s boom and bust in U.S. commercial real estate (CRE) prices was at least as large as that in the housing market and contributed significantly to bank failures. Nevertheless, the role of CRE in the Great Recession has received little attention. This study estimates cohesive models of short-run and long-run movements in capitalization rates (rent-to-price-ratio) and risk premiums across the four major types of commercial properties. Results indicate that CRE price movements were mainly driven by sharp declines in required risk premia during the boom years, followed by sharp increases during the bust phase. Using decompositions of estimated long-run equilibrium factors, our results imply that much of the decline in CRE risk premiums during the boom was associated with weaker regulatory capital requirements. The return to normal risk premia levels in 2009 and 2010 was first driven by a steep rise in general risk premia that occurred after the onset of the Great Recession and later by a tightening of effective capital requirements on commercial mortgage-backed securities (CMBS) resulting from the Dodd-Frank Act. In contrast to the mid-2000s boom, the recovery in CRE prices since 2010 has been mainly driven by declines in real Treasury yields to unusually low levels. Our findings have important implications for the channels through which macro-prudential regulation may or may not be effective in limiting unsustainable increases in asset prices.

Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump

Abstract: Although there is much interest in the future retail price of gasoline among consumers, industry analysts, and policymakers, it is widely believed that changes in the price of gasoline are essentially unforecastable given publicly available information. We explore a range of new forecasting approaches for the retail price of gasoline and compare their accuracy with the no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of gasoline price forecasts are feasible in real time at horizons up to two years, as are substantial increases in directional accuracy. The most accurate individual model is a VAR(1) model for real retail gasoline and Brent crude oil prices. Even greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most successful forecasting models. Pooled forecasts have lower MSPE than the EIA gasoline price forecasts and the gasoline price expectations in the Michigan Survey of Consumers. We also show that as much as 39% of the decline in gas prices between June and December 2014 was predictable.

Non-Renewable Resources, Extraction Technology, and Endogenous Growth

Abstract: We add an extractive sector to an endogenous growth model of expanding varieties and directed technological change. Firms increase their economically extractable stocks of non-renewable resources through R&D investment in extraction technology and reduce their stocks through extraction. We show how the geological distribution of the non-renewable resource interacts with technological change. Our model accommodates long-term trends in non-renewable resource markets - namely stable prices and exponentially increasing extraction - for which we present data going back to 1792. The model suggests that over the long term, development of new extraction technologies neutralizes the increasing demand for non-renewable resources in industrializing countries such as China.

The other (commercial) real estate boom and bust: The effects of risk premia and regulatory capital arbitrage

Abstract: In the 2000 s, U.S. commercial real estate (CRE) prices experienced a boom and bust as dramatic as the more widely analyzed swings in house prices and contributed significantly to bank failures. We model short-run and long-run movements in capitalization rates (rent-to-price-ratio) and risk premia for office building and apartments. In the mid-2000s’ boom, CRE prices were mainly driven by declines in required risk premia that stemmed from a weakening of capital requirements. In the bust, CRE price declines were initially driven by a jump in general risk premia and later by a tightening of effective capital requirements on commercial mortgage-backed securities (CMBS) from the Dodd-Frank Act. The subsequent recovery in CRE prices was induced and sustained by unusually low real Treasury yields. We conclude that macro-prudential regulation of leverage may help limit asset price booms by preventing sharp declines in risk premia.

Does Capital Structure Affect the Behavior of Non-Financial Stakeholders? An Empirical Investigation into Leverage and Union Strikes

Abstract: We use contract negotiation data to study how leverage affects the interaction between firms and an important non-financial stakeholder, labor unions. Consistent with the idea that leverage diminishes the bargaining position of labor, we find that unions are less likely to strike when a firm has high leverage or increases leverage prior to a contract negotiation. We also find large leverage increases after a strike, consistent with the idea that firms intentionally use leverage to improve their bargaining position. This post-strike increase in leverage particularly pronounced when the union wins the strike. Moreover, we do not find any clear indication that such increases in leverage are linked to changes in investments. In addition, firms that experience a strike subsequently invest more internationally and in right-to-work states where union are afforded fewer legal protections, and they increase their disposal of production units that are located in states where strikes have occurred.

Forecasting Local Inflation with Global Inflation: When Economic Theory Meets the Facts

Abstract: This paper provides both theoretical insight as well as empirical evidence in support of the view that inflation is largely a global phenomenon. First, we show that inflation across countries incorporates a significant common factor captured by global inflation. Second, we show that in theory a role for global inflation in local inflation dynamics emerges over the business cycle even without common shocks, and under flexible exchange rates and complete international asset markets. Third, we identify a strong "error correction mechanism" that brings local inflation rates back in line with global inflation which explains the relative success of inflation forecasting models based on global inflation (e.g., Ciccarelli and Mojon (2010)). Fourth, we argue that the workhorse New Open Economy Macro (NOEM) model of Martinez-Garcia and Wynne (2010) can be approximated by a finite-order VAR and estimated using Bayesian techniques to forecast domestic inflation incorporating all relevant linkages with the rest of the world. This NOEM-BVAR provides a tractable model of inflation determination that can be tested empirically in forecasting. Finally, we use pseudo-out-of-sample forecasts to assess the NOEM-BVAR at different horizons (1 to 8 quarters ahead) across 17 OECD countries using quarterly data over the period 1980Q1-2014Q4. In general, we find that the NOEM-BVAR model produces a lower root mean squared prediction error (RMSPE) than its competitors --- which include most conventional forecasting models based on domestic factors and also the recent models based on global inflation. In a number of cases, the gains in smaller RMSPEs are statistically significant. The NOEM-BVAR model is also accurate in predicting the direction of change for inflation, and often better than its competitors along this dimension too.

Stress Testing Banks: Whence and Whither?

Abstract: This paper provides a brief overview of the recent practice of stress testing banking institutions, focusing on capital adequacy. We argue that stress testing has been successfully used to mitigate bank opacity; quantify systemic risk under extreme but plausible stress; keep the participants mindful of severely adverse shocks, thereby mitigating “disaster myopia” and concomitant financial instability; and improve the data collection and analytical capabilities of financial institutions. Our paper then reviews several critiques of stress testing made by policymakers and academics. We also propose several modifications of the current stress-testing practice, such as the fusion of liquidity and capital adequacy stress testing, expansion of granular data availability, and explicit modeling of sectors inextricably connected to banking as well as the feedback mechanisms from these sectors. Addressing these issues is likely to keep stress testing highly relevant for promoting financial stability in the future.

Cross-border homicide impacts on economic activity in El Paso

Abstract: Drug-related homicides in Ciudad Juarez drastically increased beginning in 2008. Few studies have been carried out which assess the economic impacts of crime and homicides. Furthermore, the existing literature generally lacks regional assessment efforts. Because of geographical proximity and close economic ties, this paper reviews some of the potential impacts the Ciudad Juarez homicides may have on the El Paso regional economy. A time series data approach is employed to quantify links between organized crime homicides in Ciudad Juarez and economic conditions in El Paso as measured by the metropolitan business cycle index and total nonagricultural employment. Findings indicate that fluctuations in the number of Ciudad Juarez homicides impact both variables in statistically significant manners at multiple time lags.

The Consequences of an Unknown Debt Target

Abstract: Several proposals to reduce U.S. debt reveal large differences in their targets. We examine how an unknown debt target affects economic activity using a real business cycle model in which Bayesian households learn about a state-dependent debt target in an endogenous tax rule. Recent papers use stochastic volatility shocks to study fiscal uncertainty. In our setup, the fiscal rule is time-varying due to unknown changes in the debt target. Households infer the current debt target from a noisy tax rule and jointly estimate the transition probabilities. Three key findings emerge from our analysis: (1) Limited information about the debt target amplifies the effect of tax shocks through changes in expected tax rates; (2) The welfare losses are an order of magnitude larger when both the debt target state and transition matrix are unknown than when only the debt target state is unknown to households; (3) An unknown debt target likely reduced the stimulative effect of the ARRA and uncertainty about the sunset provision in the Bush tax cuts may have slowed the recovery and led to welfare losses.

Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand

Abstract: Traditional least squares estimates of the responsiveness of gasoline consumption to changes in gasoline prices are biased toward zero, given the endogeneity of gasoline prices. A seemingly natural solution to this problem is to instrument for gasoline prices using gasoline taxes, but this approach tends to yield implausibly large price elasticities. We demonstrate that anticipatory behavior provides an important explanation for this result. We provide evidence that gasoline buyers increase gasoline purchases before tax increases and delay gasoline purchases before tax decreases. This intertemporal substitution renders the tax instrument endogenous, invalidating conventional IV analysis. We show that including suitable leads and lags in the regression restores the validity of the IV estimator, resulting in much lower and more plausible elasticity estimates. Our analysis has implications more broadly for the IV analysis of markets in which buyers may store purchases for future consumption.

Marginal Tax Rates and Income: New Time Series Evidence

Abstract: Using new narrative measures of exogenous variation in marginal tax rates associated with postwar tax reforms in the US, this study estimates short run elasticities of taxable income of around 1.2 based on time series from 1946 to 2012. Elasticities are larger in the top 1% of the income distribution but are also positive and statistically significant for other income groups. Previous time series studies of tax returns data have found little evidence for income responses to taxes outside the top of the income distribution. The different results in this study arise because of additional efforts to account for dynamics, expectations and especially the endogeneity of tax policy decisions. Marginal rate cuts lead to increases in real GDP and declines in unemployment. This study also presents evidence that the responses are to marginal rather than average tax rates. Counterfactual tax cuts targeting the top 1% alone have positive effects on economic activity and incomes outside of the top 1% but increase inequality in pre-tax incomes. The data and methodology in this study do not permit any conclusions about the impact of tax rate changes targeting lower income taxpayers alone.

The Cyclicality of (Bilateral) Capital Inflows and Outflows

Abstract: Recent research has shown that gross capital inflows and outflows are positively correlated and highly procyclical. This poses a puzzle since most theory predicts that capital inflows and outflows should be negatively correlated, and while capital inflows should be procyclical, capital outflows should be countercyclical. This previous work has examined the behavior of aggregate capital inflows and outflows (capital flows between a country and the rest of the world). This paper shows that bilateral capital inflows and outflows (flows between a pair of countries) are also positively correlated and strongly procyclical. This empirical finding poses a new puzzle. The data suggests that any model that can explain capital flows at the bilateral level needs to rely on market incompleteness and non-diversification. In addition, the data suggests that this positive correlation and procyclicality is largely the feature of crisis episodes. After controlling for crisis episodes, we find that bilateral capital flows move positively with GDP in the country receiving the capital and co-move negatively in the country sending the capital.

The other (commercial) real estate boom and bust: the effects of risk premia and regulatory capital arbitrage

Abstract: The last decade?s boom and bust in U.S. commercial real estate (CRE) prices was at least as large as that in the housing market and also had a large effect on bank failures. Nevertheless, the role of CRE in the Great Recession has received little attention. This study estimates cohesive models of short-run and long-run movements in capitalization rates (rent-to-price-ratio) and risk premiums across the four major types of commercial properties. Results indicate that CRE price movements were mainly driven by sharp declines in required risk premia during the boom years, followed by sharp increases during the bust phase. Using decompositions of estimated long-run equilibrium factors, our results imply that much of the decline in CRE risk premiums during the boom was associated with weaker regulatory capital requirements. The return to normal risk premia levels in 2009 and 2010 was first driven by a steep rise in general risk premia that occurred after the onset of the Great Recession and later by a tightening of effective capital requirements on commercial mortgage-backed securities (CMBS) resulting from the Dodd-Frank Act. In contrast to the mid-2000s boom, the recovery in CRE prices since 2010 has been mainly driven by declines in real Treasury yields to unusually low levels. Our findings have important implications for the channels through which macro-prudential regulation may or may not be effective in limiting unsustainable increases in asset prices.

Introduction to Special Issue: Government Involvement in Residential Mortgage Markets

Abstract: The Federal Reserve Bank of Atlanta's Center for Real Estate Analytics and the University of North Carolina at Charlotte's Center for Real Estate jointly sponsored a research conference held in Charlotte on December 5–6, 2013. The conference theme was “Government Involvement in Residential Mortgage Markets” and included papers and discussions from an array of economists employed in academia, government, think tanks and the private sector. This special issue of Real Estate Economics is composed of seven of the ten papers presented at the conference. The research is concentrated on the recent U.S. housing boom and bust, with a particular focus on the role of government policy.

Monetary Policy and News Shocks: Are Taylor Rules Forward-Looking?

Abstract: This paper extends a standard New Keynesian model by introducing anticipated shocks to inflation, output, and interest rates, and by incorporating forward-looking, forecast-targeting Taylor rules. The latter aspect is parsimoniously modeled through the presence of an expected future interest rate term in the Taylor rule that recent literature has found to be economically and statistically important in a variety of settings without anticipated shocks. Using Bayesian econometric methods, we find that the presence of anticipated shocks improves the model's fit to the U.S. data but substantially decreases the weight on future macroeconomic variables in the forward-looking Taylor rule. Our results suggest that, although communicating its intentions regarding future monetary policy conduct, as modeled by anticipated monetary shocks, plays an important role for the Fed, responding to its expectations of future macroeconomic conditions does not. Furthermore, we conduct extensive robustness checks with respect to modeling the forward-looking specification of the Taylor rule that confirm our baseline results.

Undocumented Immigration and Human Trafficking

Abstract: Border and interior enforcement, legal penalties, and the market for smugglers distinguish undocumented migration from legal migration and introduce a number of challenges for migrants, employers, law enforcement, and policymakers. This chapter reviews the theoretical models and empirical evidence on the determinants of undocumented migration and its nature and prevalence around the world. Stricter enforcement vis-a-vis undocumented migration leads to unintended consequences, such as reduced circular migration and greater demand for smugglers. Although recent trends are generally toward stricter enforcement and more punitive sanctions for undocumented migrants and smugglers, there have been periods in recent history when undocumented immigration has been viewed with benign neglect. We review the costs and benefits of undocumented migration from a number of angles, including destination and origin countries, firms, consumers, taxpayers, native-born workers, and migrants themselves. We discuss the long-run impact of undocumented status on immigrants and their families, including the detrimental effect on integration and the limited extent of access to public benefits, such as health care and public pensions. We consider the tradeoffs of regularization programs, which may have economic benefits in the short run but may lead to increased undocumented immigration in the long run. Finally, we turn to human trafficking, which involves coercion, and review models and empirical evidence on human trafficking and policy responses.

Liquidity Mismatch Helps Predict Bank Failure and Distress

Abstract: Liquidity mismatch—the risk of a bank being unable to fund increases in assets or meet its obligations as they come due—increased in the U.S. banking sector during the run-up to the financial crisis, especially at the largest institutions, contributing to bank failure and distress.