A country's statistical capacity takes an indispensable part in its development. We offer a comprehensive comparison between the World Bank's Statistical Performance Indicators and Index (SPI) and its predecessor, the Statistical Capacity Index (SCI) regarding different conceptual and empirical...

In recent years, the rise in digital payment innovations such as contactless cards and Interac e-Transfer has spurred a discussion about the future of cash at the point of sale. The COVID19 pandemic has also contributed to this discussion: While consumers reported that some merchants started to...

In recent years, the rise in digital payments has spurred a discussion in Canada and other countries about the future of cash at the point of sale. To better understand trends in payment methods accepted by Canadian businesses, including cash acceptance and the impact of innovations such as...

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

The standard approach to 'nowcast' disaster impacts, which relies on risk models, does not typically account for the compounding impact of various hazard phenomena (e.g., wind and rainfall associated with tropical storms). The alternative, traditionally, has been a team of experts sent to the...

Estimating regional integration faces challenges because of incomplete data from missing values and insufficient time spans. A key advantage of a dynamic factor model estimated using the Bayesian state-space approach is its ability to handle missing values and aggregation of the regional...

Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...

We examine the consequences of underreporting of transfer programs in household survey data for several prototypical analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and inequality statistics, but provide evidence that our...

Classical regression analysis uses partial coefficients to measure the influences of some variables (regressors) on another variable (regressand). However, a descriptive point of view shows that these coefficients are very bad measures of influence. Their interpretation as an average change of...

This paper constructs the probability space underlying the random variable of any time dependent econometric specification. The construction links concrete economic activity, both perceived and recorded, and econometric formulations. Furthermore, it is argued that the probability events...