LONG‐RUN VERSUS SHORT‐RUN PERSPECTIVES ON CONSUMER SCHEDULING: EVIDENCE FROM A REVEALED‐PREFERENCE EXPERIMENT AMONG PEAK‐HOUR ROAD COMMUTERS

Earlier studies on scheduling behavior have mostly ignored that consumers have more flexibility to adjust their schedule in the long run than in the short run. We introduce the distinction between long‐run choices of travel routines and short‐run choices of departure times, using data from a real‐life peak avoidance experiment. We find that participants value travel time higher in the long‐run context, supposedly because changes in travel time can be exploited better through the adjustment of routines. Schedule delays are valued higher in the short run, reflecting that scheduling restrictions are typically more binding in the short run.     

UNEMPLOYMENT PERSISTENCE AND THE NAIRU: A BAYESIAN APPROACH

This paper estimates the United States and euro area NAIRU in a Bayesian framework. We set out a simple structural model explaining unemployment by demand and supply factors, which are treated as unobserved variables that have observable effects on measured unemployment, output and inflation. The model allows for unemployment persistence and a time-varying core inflation rate. The results show that although cyclical shocks are very persistent, most of the increase in European unemployment is driven by structural factors. The degree of persistence is lower in the United States but demand shocks seem to be more important in explaining variation in unemployment.     

SHORT‐RUN POLICY COMMITMENT WHEN INVESTMENT TIMING IS ENDOGENOUS: ‘MORE HARM THAN GOOD?’

In our model, firms choose when to set cost‐reducing investment and the government, which only has short‐run commitment power, sets an output subsidy. We show that firms that delay investment without government intervention have an incentive to invest early under policy activism, strategically underinvesting or overinvesting to obtain larger subsidies. The policy scheme thus creates a new, potentially more harmful, distortion. Under oligopoly, a firm has a weaker incentive to manipulate policy than under monopoly, which makes policy intervention less harmful. We investigate when the government may do better by adhering to laissez‐faire than by engaging in active policy intervention.     

A REVISIT TO THE STATIONARITY OF OECD INFLATION: EVIDENCE FROM PANEL UNIT‐ROOT TESTS AND THE COVARIATE POINT OPTIMAL TEST*

This paper re‐examines the stationarity of inflation rates in 19 Organisation for Economic Cooperation and Development countries with the use of cross‐sectional information. We employ the panel unit‐root tests that allow for cross‐sectional dependency and the covariate point optimal test. These tests have high power in common due to the exploitation of cross‐sectional information, and they can assist mutually to draw a concrete conclusion on inflation dynamics for all series in the panel. Our empirical results show that allowing for cross‐sectional dependency rejects the null hypothesis that all series in the panel have a unit root, implying that there is at least one stationary series in the panel. With the help of the results of the covariate test, we can distinguish the panel into a group of stationary and a group of non‐stationary series. For robustness, the two groups of series are re‐confirmed by the panel tests. Our results reveal evidence of mean reversion in inflation for 15 of 19 countries, which is significantly stronger as compared to that obtained by the state‐of‐the‐art univariate unit‐root tests.     

The Effects of Monetary Policy Shocks in the USA: A Forecast‐Augmented VAR Approach

This paper formulates a forward‐looking monetary policy function for the USA in a structural vector autoregression (VAR) model, by using forecasts of key macroeconomic variables, in addition to the ex post realised variables used in a standard VAR. Since this forecast‐augmented VAR (FOAVAR) uses both forecasted and realised variables, and the standard VAR uses only realised variables, the standard VAR is nested in the FOAVAR. I find that the Fed responds to forecasted macroeconomic variables more significantly than realised variables. I also find that the monetary policy shock in the FOAVAR generates impulse responses of variables that are consistent with the predictions of economic theories, while the policy shock in the standard VAR causes a price puzzle: an increase in the price level due to a contractionary policy shock. These results suggest that a monetary policy function identified in a standard VAR, by using only realised macroeconomic variables, may incorrectly represent the Fed's policy function.     

REGIME DEPENDENT EFFECT OF OUTPUT GROWTH ON OUTPUT GROWTH UNCERTAINTY: EVIDENCE FROM OECD COUNTRIES

This paper studies the impact of output growth on output growth uncertainty by considering two important issues hitherto not properly and adequately addressed to in the existing empirical studies specifying this relationship. These are: (i) the possible existence of a threshold level of output growth, and the consequent identification of two regimes characterized by high and low output growth, and (ii) whether or not the coefficient capturing the causal link is different in these two output growth states. This paper proposes a regime switching model to study this asymmetric effect for 16 OECD countries. Based on monthly time‐series observations, our results strongly support that the impact varies significantly between the two output growth regimes with the coefficient in the high growth regime being negative for majority of the countries.     

ROLLING REGRESSION VERSUS TIME‐VARYING COEFFICIENT MODELLING: AN EMPIRICAL INVESTIGATION OF THE OKUN'S LAW IN SOME EURO AREA COUNTRIES

During the last decade, economists have shown that the inverse relationship between economic growth and unemployment rate varies over time. Rolling regression has been the main tool used to quantify such a relationship. This methodology suffers from several well‐known problems which lead to spurious non‐linear patterns in the Okun's coefficient behaviour over time. Here, we take a penalized regression spline approach to estimate the Okun's time‐varying effects. As a result, spurious non‐linearities are suppressed and hence important time‐varying coefficient features revealed. Our empirical results show that the inverse relationship in some Euro area countries is spatially heterogeneous and time‐varying. The findings are complemented by the calculation of the rate of output growth needed for a stable unemployment rate, as proposed by Knotek.     

CAPITAL–LABOUR SUBSTITUTION AND ENDOGENOUS FLUCTUATIONS: A MONOPOLISTIC COMPETITION APPROACH WITH VARIABLE MARKUP*

This paper analyses an overlapping generations model with endogenous product diversity where strategic interactions between producers are introduced; it examines how they affect the stability properties of the steady state. Because of free entry, strategic interactions between producers imply a new dynamic feature, markup variability, promoting indeterminacy and endogenous cycles. Indeed, in contrast to the model without strategic interaction, endogenous fluctuations can occur when the substitution between the production factors, capital and labour, is not too weak, but in accordance with empirical estimates.     

Children's Height and Parental Unemployment: A Large-Scale Anthropometric Study on Eastern Germany, 1994–2006

Abstract. The average height of children is an indicator of the quality of nutrition and healthcare. In this study, we assess the effect of unemployment and other factors on this variable. In the Eastern German Land of Brandenburg, a dataset of 253,050 preschool height measurements was compiled and complemented with information on parents' schooling and employment status. Unemployment might have negative psychological effects, with an impact on parental care. Both a panel analysis of districts and an assessment at the individual level yield the result that increasing unemployment, net out-migration and fertility were in fact reducing height.     

CONSUMPTION–LEISURE TRADE‐OFFS AND PERSISTENCY IN BUSINESS CYCLES

This paper studies whether non‐separabilities between consumption and leisure may help to explain the observed persistence in GNP growth. We consider an extended version of Lucas's (1988) human capital investment model that includes labour adjustment costs and compare its performance under different utility specifications with different degrees of complementarity and substitutability between consumption and leisure. We find that when consumption and leisure are complements the model succeeds in matching not only the autocorrelation of output growth but also the important trend‐reverting component found in US data. These results hold even if low adjustment costs of labour are considered. Hence, we conclude that an arguably simple margin not considered conventionally can provide useful insights into observed business cycle patterns.     

REASSESSING SEGMENTATION IN THE LABOUR MARKET: AN APPLICATION FOR ITALY 1995–2004

The aim of this paper is to test for the presence of dualism in a standard wage regression. The disparity in wages between primary and secondary workers, according to labour market segmentation theory, is not provided by worker characteristics, but rather by job characteristics. A standard way to assess this situation is by looking at the estimated coefficients in a standard regression for comparable workers across different labour market segments. In an attempt to avoid arbitrary modelling choices, we deploy mixture regression methods which allow for endogenous determination of the number of existing labour market segments. Using Italian data, our modelling strategy outlines stark differences in returns to human capital between homogeneous workers in different markets. Thus, future policies should consider these findings when implementing labour market measures.     

Changes in the relationship between short‐term interest rate,inflation and growth: evidence from the UK, 1820–2014

This paper examines the dynamic relationship between interest rates, inflation and economic growth using a long dataset for the UK. The approach adopted enables us to identify structural breaks in the dynamic system (vector autoregression (VAR)). We find interest rates respond much more strongly to growth and inflation over recent decades, and forecast error variance decomposition analysis indicates there is increasing interconnectedness between the variables in recent years. Economic policymakers need to carefully monitor the linkages between these variables and be prepared to adjust their monetary policy tools when faced with structural changes.     

SOME OBSERVATIONS ON THE HIGH‐FREQUENCY VERSIONS OF A STANDARD NEW‐KEYNESIAN MODEL

In a small‐scale New‐Keynesian model with a hybrid Phillips curve and IS equation, the paper is concerned with an arbitrary frequency of the agents’ synchronized decision making. It investigates the validity of a fundamental methodological precept according to which no substantive prediction or explanation of a well‐defined macroeconomic period model should depend on the real time length of the period. While this principle is basically satisfied as the period goes to zero, the impulse – response functions of the high‐frequency versions can qualitatively as well as quantitatively be fairly dissimilar from their quarterly counterpart. The result proves to be robust under variations of the degree of price stickiness. The main conclusion is that DSGE modelling may be more sensitive to its choice of the agents’ decision interval.     

A Micro‐Econometric Analysis of the Antipoverty Effect of Social Cash Transfers in Italy

We analyze the anti‐poverty effect of social cash transfers using a micro‐econometric approach. Aggregate analyses, based on comparing average poverty indicators before and after public transfers, fail to address who receives the transfers and how the transfers are distributed among the poor. We consider three dichotomous outcome variables: (i) poverty status before the receipt of transfers; (ii) the receipt of transfers; and (iii) poverty status after the receipt of transfers. We use a trivariate probit model with sample selection, connecting the outcome variables to the characteristics of the household and its head. Our empirical results highlight that the Italian social transfers system overprotects certain household typologies at the expense of others, as social transfers are primarily awarded to employees with permanent positions and the elderly, while the system is not generous enough to large households with dependant children, the self‐employed, temporary contract workers, and the unemployed.     

Deprivation and the Dimensionality of Welfare: A Variable‐Selection Cluster‐Analysis Approach

We approach the problems of measuring the dimensionality of welfare and that of identifying the multidimensionally poor, by first finding the poor using the original space of attributes, and then reducing the welfare space. The starting point is the notion that the “poor” constitutes a group of individuals that are essentially different from the “non‐poor” in a truly multidimensional framework. Once this group has been identified through a clustering procedure, we propose reducing the dimension of the original welfare space using recent blinding methods for variable selection. We implement our approach to the case of Latin America based on the Gallup World Poll, which contains ample information on many dimensions of welfare.     

Give and Take Between Households and the State: Development and Application of A Benefaction–Contribution Ratio

This study defines a “Benefaction–Contribution Ratio” (BCR), describing the extent to which households are net beneficiaries of or contributors to the economy in relation to income and consumption. Such issues are central to assessment and targeting of policies such as social welfare and taxation. We apply the ratio to 21,144 South African households. South Africa employs various taxation‐funded social grants and subsidized services. A central question is how such transfers affect real household income and consumption. We find that the constitution of social transfers as a function of tax adjusted earned income significantly augments household buying power. Furthermore, we hypothesize and find a negative curvilinear shape which has implications for design of taxation and welfare. This constitution and distribution of this ratio may be useful for international benchmarking and household planning, and as an economic predictor of outcomes such as job seeking, entrepreneurial behavior, family planning, migration, and tax evasion.     

Job Polarization and Task‐Biased Technological Change: Evidence from Sweden, 1975–2005

In this paper, we show that between 1975 and 2005, Sweden exhibited a pattern of job polarization with expansions of the highest‐ and lowest‐paid jobs compared to middle‐wage jobs. The most popular explanation for such a pattern is the hypothesis of task‐biased technological change, where technological progress reduces the demand for routine middle‐wage jobs but increases the demand for non‐routine jobs located at the tails of the job–wage distribution. However, our estimates do not support this explanation for the 1970s and 1980s. Stronger evidence for task‐biased technological change, albeit not conclusive, is found for the 1990s and 2000s. In particular, there is both a statistically and economically significant growth of non‐routine jobs and a decline of routine jobs. However, results for wages are mixed; while task‐biased technological change cannot explain changes in between‐occupation wage differentials, it does have considerable explanatory power for changes in within‐occupation wage differentials.     

PREDICTING STOCK RETURNS AND VOLATILITY WITH INVESTOR SENTIMENT INDICES: A RECONSIDERATION USING A NONPARAMETRIC CAUSALITY‐IN‐QUANTILES TEST

Evidence of monthly stock returns predictability based on popular investor sentiment indices, namely S^BW and S^PLS as introduced by Baker and Wurgler (2006, 2007) and Huang et al. (2015) respectively are mixed. While, linear predictive models show that only S^PLS can predict excess stock returns, nonparametric models (which accounts for misspecification of the linear frameworks due to nonlinearity and regime changes) finds no evidence of predictability based on either of these two indices for not only stock returns, but also its volatility. However, in this paper, we show that when we use a more general nonparametric causality‐in‐quantiles model of Balcilar et al., (forthcoming), in fact, both S^BW and S^PLS can predict stock returns and its volatility, with S^PLS being a relatively stronger predictor of excess returns during bear and bull regimes, and S^BW being a relatively powerful predictor of volatility of excess stock returns, barring the median of the conditional distribution.     

PRICE SETTING PRACTICES IN GREECE: EVIDENCE FROM A SMALL‐SCALE FIRM‐LEVEL SURVEY

The paper documents the price setting practices followed by some 400 or so firms operating in Greece. Survey replies reveal a low percentage of firms changing prices with frequency higher than annual and staggering of price changes during the year. As to firms’ reactions to unexpected shocks, prices appear to adjust sluggishly to cost shocks with asymmetries in price adjustment across positive and negative shocks. Adjustments to increases in costs appear speedier than those to reductions in demand. The data confirm a result found for other countries: the existence of cross‐sectional variations in price setting strategies and in the extent to which prices are adjusted in reaction to unexpected shocks. The results suggest a positive association between, on the one hand, product market competition and, on the other hand, state‐dependent pricing, frequent price changes and the likelihood of a price adjustment following an adverse demand shock.     

THE IMPORTANCE OF CONSECUTIVE SPELLS OF POVERTY: A PATH‐DEPENDENT INDEX OF LONGITUDINAL POVERTY

In this paper we propose a new index of individual poverty in the longitudinal perspective, taking into account the way poverty and non‐poverty spells follow one another along individual life courses. The Poverty Persistence Index (PPI) is based on all the pairwise distances between the waves of poverty. The PPI is normalized and it assigns a higher degree of (longitudinal) poverty to people who experience poverty in consecutive, rather than separated, periods, for whom the distances from the poverty line are larger along time and moreover, when the worst years are consecutive and/or recent. We also propose an aggregate index of persistence in poverty (APPI) in order to measure the distribution of the persistence of poverty in a society, and evaluate at once the diffusion of poverty, its depth, duration, and recentness. The indices are tested in comparison with other measures from the literature both at the individual as well as at the societal level.