Oil price shocks on Indian economy: evidence from Toda Yamamoto and Markov regime-switching VAR

The study investigates the dynamic impact of linear and non-linear specifications of oil price shocks on macroeconomic fundamentals for an oil-importing emerging economy – India – during the period March 1991 to January 2009. The paper deploys extended vector autoregressive (VAR) model of possibly integrated processes proposed by Toda and Yamamoto, which has its advantage of application irrespective of the variables being stationary or cointegrated. The study further estimates two-state Markov regime-switch VAR model to examine regime shift behaviour of the underlying variables and its relationship. The study finds that inflation and foreign exchange reserve are greatly impacted by oil price shocks. The study also confirms that the movement in oil price is exogenous with respect to the movement of India’s macroeconomic variables and the impact of oil price shocks are asymmetric in nature with negative price shocks having more pronounced effect than positive shocks.     

Misclassification of the dependent variable in a debt–repayment behavior context

This paper estimates a model of the household debt–repayment decision that accounts for the possibility of misclassification of self-reported debt–repayment status. It likewise estimates the extent of misclassification in a sample of data from different European countries. The evidence suggests that many households that are in arrears do not report this condition, so that the true level of arrears is, on average, 24% higher than that observed in our data. Furthermore, the effects on the incidence of arrears of adverse income and expense shocks are substantially greater than those predicted by estimators that ignore the possibility of misclassification.     

The variability of velocity of money in a search model

We construct a dynamic equilibrium model where there is costly search in the goods market and the labor market. Incorporating shocks to money growth and productivity, we calibrate the model to the US time series data to examine the model's quantitative predictions on aggregate variables and, in particular, on the variability of consumption velocity of money. Despite the fact that money is the only asset, the model captures most of the variability of velocity in the data. It also generates realistic predictions on the moments of other variables and provides persistent propagation of the shocks. The model generates these results largely because costly search gives an important role to the extensive margin of trade.     

Learning and shifts in long-run productivity growth

An extensive literature has analyzed the macroeconomic effects of shocks to the level of aggregate productivity; however, there has been little corresponding research on sustained shifts in the growth rate of productivity. In this paper, we examine the effects of shocks to productivity growth in a dynamic general equilibrium model where agents do not directly observe whether shocks are transitory or persistent. We show that an estimated Kalman filter model using real-time data describes economists’ long-run productivity growth forecasts in the United States extremely well and that filtering has profound implications for the macroeconomic effects of shifts in productivity growth.     

What does a technology shock do? A VAR analysis with model-based sign restrictions

This paper estimates the effects of technology shocks in VAR models of the U.S., identified by imposing restrictions on the sign of impulse responses. These restrictions are consistent with the implications of a popular class of DSGE models, with both real and nominal frictions, and with sufficiently wide ranges for their parameters. This identification strategy thus substitutes theoretically motivated restrictions for the atheoretical assumptions on the time-series properties of the data that are key to long-run restrictions. Stochastic technology improvements persistently increase real wages, consumption, investment and output in the data; hours worked are very likely to increase, displaying a hump-shaped pattern. Contrary to most of the related VAR evidence, results are not sensitive to a number of specification assumptions, including those on the stationarity properties of variables.     

Inattentive consumers and international business cycles

This paper presents and studies the properties of a sticky information exchange rate model where consumers and producers update their information sets infrequently. Introducing inattentive consumers has important implications. Through a mechanism resembling the limited participation models, exchange rate volatility observed in the data can be addressed for reasonable values of risk aversion. The model generates more persistence in output, consumption and employment which brings us closer to the data. Impulse responses to monetary shocks are hump shaped, consistent with the empirical evidence. Forecast errors of inattentive consumers provide a channel to reduce the correlation of relative consumption and real exchange rate. The decline in the correlation is quantitatively small for our benchmark model. Model generates a substantial amount of consumer forecast errors when producers are attentive and productivity shocks are persistent. This specification results in a large decline of the correlation of real exchange rate and relative consumption due to consumer inattentiveness. When trade elasticity is set to values at the low end of macro estimates or at higher values consistent with sectoral estimates, the correlation is in the negative territory with inattentive consumers.     

A note on the consistency of maximum likelihood estimators

Abstract

A sequence of maximum likelihood estimators based on a sequence of independent but not necessarily identically distributed random variables is shown to be consistent under certain assumptions. Some examples are given to show that these assumptions are easy to verify and not very restrictive.     

Residential Mobility Decisions in Japan: Effects of Housing Equity Constraints and Income Shocks under the Recourse Loan System

This paper draws on six waves of Japanese household longitudinal data (Keio Household Panel Survey, KHPS) and estimates a conditional fixed effects logit model to investigate the effects of housing equity constraints and income shocks on own-to-own residential moves in Japan. By looking at contemporaneous extended Loan-to-Value (ELTV) and extended Debt-to-Income (EDTI) ratios under the recourse loan system, we examine whether housing equity constraints and negative income shocks have any impact on own-to-own residential moves. Taking account of the specific nature of the recourse loan system in Japan, we further investigate whether these effects are different between positive and negative equity households. The estimation results show that housing equity constraints and negative income shocks significantly deter own-to-own residential moves for positive equity households.     

Self-fulfilling expectations and the inflation of the 1970s: Evidence from the Livingston Survey

Using survey data on expectations, we examine whether the response of monetary policy to sudden movements in expected inflation contributed to the persistent high inflation of the 1970s. The evidence suggests that, prior to 1979, the Fed accommodated temporary shocks to expected inflation, which then led to persistent increases in actual inflation. We do not find this behavior in the post-1979 data. Among commonly cited factors, oil and fiscal shocks do not appear to have triggered an increase in expected inflation that eventually resulted in higher actual inflation.     

Do Large Banks Have Lower Costs? New Estimates of Returns to Scale for U.S. Banks

This paper presents new, fully nonparametric estimates of ray‐scale and expansion‐path scale economies for U.S. banks based on a model of bank costs. Unlike prior studies that use models with restrictive parametric assumptions or limited samples, our methodology uses local polynomial estimators and data on all U.S. banks over the period 1984–2006. Our estimates indicate that as recently as 2006, most U.S. banks faced increasing returns to scale, suggesting that scale economies are a plausible (but not necessarily only) reason for the growth in average bank size and that the tendency toward increasing scale is likely to continue unless checked by government intervention.     

The Effects of Monetary Policy “News” and “Surprises”

There is substantial agreement in the monetary policy literature over the effects of exogenous monetary policy shocks. The shocks that are investigated, however, almost exclusively represent unanticipated changes in policy, which surprise the private sector and which are typically found to have a delayed and sluggish effect on output. In this paper, we estimate a New Keynesian model that incorporates news about future policies to try to disentangle the anticipated and unanticipated components of policy shocks. The paper shows that the conventional estimates confound two distinct effects on output: an effect due to unanticipated or “surprise” shocks, which is smaller and more short‐lived than the response usually obtained in the literature, and a large, delayed, and persistent effect due to anticipated policy shocks or “news.” News shocks play a larger role in influencing the business cycle than unanticipated policy shocks, although the overall fraction of economic fluctuations that can be attributed to monetary policy remains limited.     

Do Property‐Casualty Insurance Underwriting Margins Have Unit Roots?

A growing literature analyzes determinants of insurance prices using time series data on insurer underwriting margins. If the variables analyzed are stationary, conventional regression models may be appropriately used to test hypotheses. Based on pretests for a unit root, several studies have instead used co‐integration analysis to analyze the long‐run relationship between purportedly nonstationary underwriting margins and macroeconomic variables. We apply a battery of unit root tests to investigate whether underwriting margins are stationary under different assumptions concerning deterministic components in the data generating process (DGP). When linear and/or quadratic trends are included in the assumed DGPs, the tests reject the null hypothesis of a unit root for loss ratios, expense ratios, combined ratios, and economic loss ratios from 1953 through 1998 for many of the individual lines examined and for all lines combined. Consistent with prior work on whether macroeconomic variables have unit roots, a simulation of test power for underwriting margins during the sample period demonstrates that nonrejections of the null hypothesis of a unit root could easily reflect low power. The overall findings suggest that conventional regression methods can be used appropriately to analyze underwriting margins after controlling for deterministic influences and transforming any nonstationary regressors.     

Volatility dynamics under an endogenous Markov-switching framework: a cross-market approach

This study uses an endogenous Markov-switching framework to examine the interrelatedness of the volatility dynamics of the US and Korean markets. Previous literature assumes that the US market implied volatility index is exogenous to the Korean implied volatility index. Here, we allow for correlations between the US and Korean variables and suggest two types of endogeneity, namely endogeneity in the regressors and in the regime-switching probabilities. The estimation results show that both types of endogeneity are present in the US variables and that the parameter estimates are quite different when endogeneity is considered, indicating a serious endogeneity bias in the parameter estimates. The results of the endogeneity test for the regressors show that the effects of global shocks are often persistent and may last for as long as six periods. Sub-period analyses indicate that the degrees of endogeneity were especially strong during the global financial crisis.     

Stabilizing non-fundamental asset price movements under discretion and limited information

Inflation, output and interest rate stabilization are all potential central bank objectives. We explore whether monetary policy should respond to asset price fluctuations when they are driven by irrational expectational shocks to the future returns to capital. In our model, an optimistic shock to future returns generates both an increase in equity prices and physical investment. The increased investment is inefficient and, thus, a central bank optimally responds to this expectations shocks. This induces a trade-off between stabilizing nominal prices and non-fundamental asset price movements. We compare the optimal policy under different assumptions: full versus limited information and commitment versus discretion. If the central bank has limited information about whether an asset price movement has a fundamental or non-fundamental origin, then the central bank responds less aggressively to the non-fundamental exuberance shocks than under full information. Without commitment, a central bank responds more aggressively to non-fundamental exuberance shocks.     

Relative price variability: Evidence from supply and demand events

Previous studies of relative price variability assume that all supply changes are unanticipated or that supply elasticities are equal across markets. In this paper, we extend these models by relaxing these restrictive assumptions. Our resulting theoretical expression for relative price dispersion reveals an independent role for unanticipated and anticipated supply events. Subjecting our model to empirical testing, we find that this dichotomy of supply shocks is not rejected by the data for the period 1970–1981.     

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.     

Epistemic uncertainty in catastrophe models—A base level examination

In this paper, we evaluate sources of variation in the output from catastrophe models with emphasis on the epistemic uncertainty in modeled expected losses. Using building data from the 34 buildings that comprised the California Northridge campus at the time of the Northridge earthquake, we explore the sensitivity of estimated average annual losses obtained from a cat model to the quality of model input. Namely, we consider how changes in four key model assumptions—building locations, building height, construction type, and the event catalog—affect cat model loss estimates. We find that accurate information on some input variables is critical (e.g., all steel construction) and the interaction between input variables should not be discounted. Our results have important implications for insurer decisions that are informed by the output of catastrophe models—product pricing, portfolio diversification and underwriting decisions, negotiations and discussions with regulators and similar activities with capital market participants. The financial impact of improving data quality and targeting data related to key model inputs for that insurer when at scale is not trivial. As such, this paper provides an impetus for establishing and improving benchmarks for model inputs.     

Optimal taxation and OECD labor taxes

We derive simple expressions for optimal labor taxes under different assumptions about government bond markets. We use these to examine OECD labor taxes, estimate the excess burden of taxation and assess the ability of optimal tax models to match the data.Optimal labor taxes are driven by: (i) a term reflecting Ramsey considerations which makes labor taxes vary positively with employment and (ii) a martingale component, reflecting the excess burden of tax, which shows persistent responses to shocks to the government's intertemporal budget constraint. Under complete markets (when governments can issue a full set of contingent securities) only the first factor is relevant. We find substantial evidence that incorporating incomplete markets into the optimal taxation model is critical for empirical success. However, we find strongest support for the martingale component and only weak evidence for the Ramsey component.     

Simple estimators for the parameters of discrete dynamic games (with entry/exit examples)

We estimate parameters from data on discrete dynamic games, using entry/exit games to illustrate. Semiparametric first‐stage estimates of entry and continuation values are computed from sample averages of the realized continuation values of entrants and incumbents. Under certain assumptions, these values are easy‐to‐compute analytic functions of the parameters of interest. The entry and continuation values are used to determine the model's predictions for entry and exit conditional on the parameter vector, and the estimates compare these predictions with the data on entry and exit rates. Small‐sample properties are discussed and lead to the simplest of estimators.     

Trends and random walks in macroeconmic time series: Some evidence and implications

This paper investigates whether macroeconomic time series are better characterized as stationary fluctuations around a deterministic trend or as non-stationary processes that have no tendency to return to a deterministic path. Using long historical time series for the U.S. we are unable to reject the hypothesis that these series are non-stationary stochastic processes with no tendency to return to a trend line. Based on these findings and an unobserved components model for output that decomposes fluctuations into a secular or growth component and a cyclical component we infer that shocks to the former, which we associate with real disturbances, contribute substantially to the variation in observed output. We conclude that macroeconomic models that focus on monetary disturbances as a source of purely transitory fluctuations may never be successful in explaining a large fraction of output variation and that stochastic variation due to real factors is an essential element of any model of macroeconomic fluctuations.