Housing market dynamics in a small open economy: Do external and news shocks matter?

We study the sources of fluctuations in the housing market of a small open economy. We use an estimated dynamic stochastic general equilibrium (DSGE) model and data from seven small open economies to assess the quantitative effects of both contemporaneous and news shocks to domestic and external fundamentals on housing market dynamics. External shocks and news shocks have significant effects. Cyclical fluctuations in housing prices and housing investment are mainly driven by contemporaneous shocks related to foreign housing preferences and terms of trade, and by news shocks related to domestic consumption-goods technology, housing preferences and terms of trade. The spillover effects of external shocks on housing prices are notably larger than those of domestic shocks.     

The Cyclical Behavior of the Price-Cost Markup

A countercyclical markup of price over marginal cost is a key transmission mechanism for demand shocks in New Keynesian (NK) models. This paper reexamines the foundation of those models by studying the cyclicality of the price-cost markup in the private economy. We find that how the markup is measured matters for its unconditional cyclicality. Measures of the markup based on the inverse of the labor share are moderately procyclical, but are moderately countercyclical for some generalizations of the production function. NK models predict that the cyclicality of the markup should vary depending on the nature of the shock. Consistent with the NK model, we find that the markup is procyclical conditional on total factor productivity shocks and countercyclical conditional on investment-specific technology shocks. In contrast, we find that the markup increases in response to a positive demand shock. Thus, the transmission mechanism for the effects of demand shocks in sticky-price NK models is not consistent with the data.     

Labor unions and corporate financial leverage: The bargaining device versus crowding-out hypotheses

We examine the empirical relation between labor unions and firm indebtedness in the contemporary United States. Our identification strategy exploits two negative exogenous shocks in union power and the threat of unionization. Further, in the context of panel regressions, we develop a novel firm-level proxy for the bargaining power of labor using collective bargaining information from mandatory IRS filings from 1999 to 2013. Across a battery of tests, we document evidence in favor of a crowding-out hypothesis — namely, a substitution effect between labor power and financial leverage. Notably, this effect is more pronounced in firms in labor-intensive and unionized industries.     

How Does Industry Affect Firm Financial Structure?

We examine the importance of industry to firm-level financialand real decisions. We find that in addition to standard industryfixed effects, financial structure also depends on a firm’sposition within its industry. In competitive industries, a firm’sfinancial leverage depends on its natural hedge (its proximityto the median industry capital–labor ratio), the actionsof other firms in the industry, and its status as entrant, incumbent,or exiting firm. Financial leverage is higher and less dispersedin concentrated industries, where strategic debt interactionsare also stronger, but a firm’s natural hedge is not significant.Our results show that financial structure, technology, and riskare jointly determined within industries. These findings areconsistent with recent industry equilibrium models of financialstructure.     

Fundamental Economic Shocks and the Macroeconomy

We ask how macroeconomic and financial variables respond to empirical measures of shocks to technology, labor supply, and monetary policy. These three shocks account for the preponderance of output, productivity, and price fluctuations. Only technology shocks have a permanent impact on economic activity. Labor inputs have little initial response to technology shocks. Monetary policy has a small response to technology shocks but "leans against the wind" in response to the more cyclical labor supply shock. This shock has the biggest impact on interest rates. Stock prices respond to all three shocks. Other empirical implications of our approach are discussed.     

Information Aggregation Bias and Samuelson's Dictum

Under the assumption of incomplete information, idiosyncratic shocks may not dissipate in the aggregate. An econometrician who incorrectly imposes complete information and applies the law of large numbers may be susceptible to information aggregation bias. Tests of aggregate economic theory will be misspecified even though tests of the same theory at the microlevel deliver the correct inference. A testable implication of information aggregation bias is “Samuelson's Dictum” or the idea that stock prices can simultaneously display “microefficiency” and “macroinefficiency;” an idea accredited to Paul Samuelson. Using firm-level data from the Center for Research in Security Prices, we present empirical evidence consistent with Samuelson's dictum. Specifically, we conduct two standard tests of the linear present value model of stock prices: a regression of future dividend changes on the dividend-price ratio and a test for excess volatility. We show that the dividend price ratio forecasts the future growth in dividends much more accurately at the firm level as predicted by the present value model, and that excess volatility can be rejected for most firms. When the same firms are aggregated into equal-weighted or cap-weighted portfolios, the estimated coefficients typically deviate from the present value model and “excess” volatility is observed; this is especially true for aggregates (e.g., S&P 500) that are used in most asset pricing studies. To investigate the source of our empirical findings, we propose a theory of aggregation bias based on incomplete information and segmented markets. Traders specializing in individual stocks conflate idiosyncratic and aggregate shocks to dividends. To an econometrician using aggregate data, these assumptions generate a rejection of the present value model even though individual traders are efficiently using their available information.     

Are equities good inflation hedges? A frequency domain perspective

By using industry level data, we examine the relation between equity returns and inflation in a frequency dependent framework. Our analysis shows that a positive relation in fact exists between equity returns and high frequency inflation shocks for commodity and technology related industries. Since higher frequency shocks are independent from trend and are transitory in nature, our findings imply a positive relation between stock returns and the unexpected component of inflation. Furthermore, we show that the results are robust to firm-level data by using a sample from the oil industry. Hence, our study provides a new look at the impact of inflation on equities by showing the sensitivity of conclusions in prior work to frequency dependence in data.     

Non-stationary Hours in a DSGE Model

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with permanent labor supply shocks. If firms can freely adjust labor inputs, the data support the latter specification. Once we introduce frictions in terms of labor adjustment costs, the overall time series fit improves and the model specification in which labor supply shocks and hours worked are stationary is preferred.     

What do technology shocks tell us about the New Keynesian paradigm?

Researchers have used unanticipated changes to monetary policy to identify preference and technology parameters of macroeconomic models. This paper uses changes in technology to identify the same set of parameters. Estimates based on technology shocks differ substantially from those based on monetary policy shocks. In the post-World War II United States, a positive technology shock reduces inflation and increases hours worked, significantly and rapidly in both cases. Relative to policy shock identification, technology shock identification implies: (i) long duration durability in preferences instead of short duration habit, (ii) built-in inflation inertia disappears and price flexibility increases. In response to technological improvement, consumption durability increases hours worked because households temporarily increase labor supply to accumulate durables towards a new, higher steady state level. Limited nominal rigidities allow inflation to fall because firms are able to immediately cut prices when households’ labor supply increases. Finally, we consider alternative data constructions and econometric specifications; we find that (i) and/or (ii) hold in nearly every case.     

The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR Approach

A growing literature considers the impact of uncertainty using SVAR models that include proxies for uncertainty shocks as endogenous variables. In this paper, we consider the impact of measurement error in these proxies on the estimated impulse responses. We show via a Monte Carlo experiment that measurement error can result in attenuation bias in impulse responses. In contrast, the proxy SVAR that uses the uncertainty shock proxy as an instrument does not suffer from this bias. Applying this latter method to the Bloom (2009) data set results in impulse responses to uncertainty shocks that are larger in magnitude and more persistent than those obtained from a recursive SVAR.     

The Quantitative Importance of News Shocks in Estimated DSGE Models

We estimate a dynamic stochastic general equilibrium (DSGE) model with several frictions and both unanticipated and news shocks, using quarterly U.S. data from 1954 to 2004 and Bayesian methods. We find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output, consumption, and investment growth, interest rate, and the relative price of investment. The unanticipated shock to the marginal efficiency of investment is the dominant shock, accounting for over 45% of the variance in output growth. News shocks account for less than 15% of the variance in output growth. Within the set of news shocks, nontechnology sources of news dominate technology news, with wage markup news shocks accounting for about 60% of the variance share of both hours and inflation. We find that in the estimated DSGE model (i) the presence of endogenous countercyclical price and wage markups due to nominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions, and (ii) while there is little change in the estimated contributions of technology news when we restrict wealth effects on labor supply, the contributions of nontechnology news shocks are relatively more sensitive.     

Intersectoral Labor Immobility,Sectoral Comovement,and News Shocks

Sectoral comovement of output and hours worked is a prominent feature of business cycle data. However, most two‐sector neoclassical models fail to generate this sectoral comovement. We construct and estimate a two‐sector neoclassical Dynamic Stochastic General Equilibrium (DGSE) model generating sectoral comovement in response to both anticipated and unanticipated shocks. The key to our model's success is a significant degree of intersectoral labor immobility, which we estimate using data on sectoral hours worked. Furthermore, we demonstrate that imperfect intersectoral labor mobility provides a better explanation for the sectoral comovement than an alternative model emphasizing the role of labor‐supply wealth effects.     

The impact of corporate governance,regulatory differences and futures contracts on movements among portfolios of cross-listed equities: The case of Germany

We test the impact of corporate governance effects on the stock price volatility of the DAX100 and find that these variables increase the volatility and decrease the error terms statistically significant. In addition, controlling for contemporaneous and next period's movements, we find that shocks can have a significant impact on the magnitude of stock return co-movements. In particular, our results show that the impact of the German mark/Euro and German bond price index futures shocks have a significant effect on spillovers, on contemporaneous and next period's co-movements related to firms or equities that cross-list on markets with different creditor bankruptcy protection rules. On the other hand, the impact of the German mark/Euro and the German stock price index shocks related to different shareholder protection rules have a smaller impact on both the next period's co-movements and contemporaneous co-movements among or between markets.     

Uncertainty,investment, and managerial incentives

This study provides evidence that managerial incentives, shaped by compensation contracts, help to explain the empirical relationship between uncertainty and investment. We develop a model in which the manager, compensated with an equity-based contract, makes investment decisions for a firm that faces time-varying volatility. The contract creates incentives that affect both the sign and magnitude of a manager׳s optimal response to volatility shocks. The model is calibrated using compensation data to quantify this predicted investment response for a large panel of firms. Our estimates help explain the variation in firm-level investment responses to volatility shocks observed in the data.     

Measures of per Capita Hours and Their Implications for the Technology-Hours Debate

Structural vector autoregressions give conflicting results on the effects of technology shocks on hours. The results depend crucially on the assumed data generating process for hours per capita. We show that the standard measure of hours per capita and productivity have significant low-frequency movements that are the source of the conflicting results. Hodrick–Prescott (HP)-filtered hours per capita produce results consistent with those obtained when hours are assumed to have a unit root. We show that important sources of the low-frequency movements in the standard measure are sectoral shifts in hours and the changing age composition of the working-age population. When we control for these low-frequency components to determine the effect of technology shocks on hours using long-run restrictions we get one consistent answer: hours decline in the short run in response to a positive technology shock. We further extend the analysis by examining the effects of demographic controls on the impulse responses to investment-specific technology shocks. Our results are less conclusive.     

Labor Market and Financial Shocks: A Time-Varying Analysis

We estimate a time-varying VAR model to analyze the effects of a financial shock on the U.S. labor market. We find that a tightening of financial conditions is highly detrimental to the labor market. We show that while negative financial shocks have been responsible for increases in unemployment, our model does not find significant contributions of financial shocks during periods of expansion. The source of this asymmetry is the time-varying standard deviation of the identified shock, which is higher in times of financial distress; on the other hand, we find that the transmission mechanism does not significantly change over time.     

Re-Examining the Consumption–Wealth Relationship: The Role of Model Uncertainty

This paper discusses the consumption–wealth relationship. We use data on consumption, assets, and labor income and a vector error correction framework. This framework defines a set of models that differ in the number of co-integrating vectors, the form of deterministic components and lag length. Further models can be defined through parametric restrictions and, in particular, interest centers on a weak exogeneity restriction that says that the co-integrating residuals do not affect consumption and income directly. Key results in previous work relate to the roles of permanent and transitory shocks in driving wealth and how consumption responds to these shocks. We investigate the robustness of these results to model uncertainty and argue for the use of Bayesian model averaging. We find that there is a large degree of model uncertainty. Whether this uncertainty has important empirical implications depends on the researcher's attitude toward the theory used to motivate a co-integrating relationship between consumption, assets and income. If we work with models consistent with this theory and impose the weak exogeneity restriction, we find precisely estimated results that show that permanent shocks have only a small role in driving assets and that the predominant transitory shocks have little effect on consumption. These findings are consistent with the previous literature. However, if we work with a broader set of models and let the data speak, we find that the exact magnitude of the role of permanent shocks is hard to estimate precisely. Thus, although some support exists for the view that their role is small, we cannot rule out the possibility that they have a substantive role to play.     

Are investors really home-biased when investing at home?

Investors who only invest in their domestic market are typically referred to as being home-biased. We refer to firm-level internationalization and call into question whether investing in domestic stock indices actually leads to home bias. We use three measures of firm-level internationalization based on percentages of foreign sales, employees in foreign countries, and foreign tax payments. We aggregate firm-level results to determine the degree of internationalization of German, French, UK and US stock indices. French and UK stock indices exhibit the largest degree of internationalization. The German index provides slightly less internationalization, whereas internationalization of the US index is lowest but nonetheless considerable. This means that investors who invest in their domestic market do not necessarily suffer from home bias. Instead, investing in domestic stock indices more likely prevents investors from a home bias instead of entrapping them to insufficient portfolios.     

Labor Responses,Regulation, and Business Churn

We develop a model of sluggish firm entry to explain short‐run labor responses to technology shocks. We show that the labor response to technology and its persistence depend on the degree of returns to labor and the rate of firm entry. Existing empirical results support our theory based on short‐run labor responses across U.S. industries. We derive closed‐form transition paths that show the result occurs because labor adjusts instantaneously while firms are sluggish, and closed‐form eigenvalues show that stricter entry regulation results in slower convergence to steady state. Finally, we show that our theoretical results hold in a quantitative model with capital accumulation and interest rate dynamics.