We study the effects of patriotism on tax compliance. In particular, we assume that individuals feel a (random draw of) warm glow from honestly paying their taxes. A higher expected warm glow reduces the government's optimal audit probability and yields higher tax compliance. Second, individuals...

Using the longitudinal Workplace and Employee Survey of Canada, we examine the association between the provision of work-life benefits and various employment outcomes in the Canadian labour market. Whilst the theory of compensating wage differentials hypothesizes an inevitable trade-off between...

Starting from Professor Kornai's assertion about the necessity to focus on the long-term perspectives of the transformation process, we analyze in this paper the Lisbon performance of the countries of the European Union from such a long-term, structural perspective. We present in a simple form...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for matching estimators. This representation allows the...

The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper...

To compare distributions of ordinal data such as individuals' responses on Likert-type scale variables summarizing subjective well-being, we should not apply the toolbox of methods developed for cardinal variables such as income. Instead we should use an analogous toolbox which takes account of...

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...

This paper documents that rotation group bias – the tendency for labor force statistics to vary systematically by month in sample in labor force surveys – in the Current Population Survey (CPS) has worsened considerably over time. The estimated unemployment rate for earlier rotation groups...

In a randomized control trial, the precision of an average treatment effect estimator can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as a census, or a...