This study extends a test for the presence of binding zoning, originally developed to be applied across many adjacent jurisdictions, so that it can be applied within a single jurisdiction. This study also demonstrates how to carry out this test in the presence of spatially correlated OLS...

We develop new distribution discontinuity tests conditional on multiple explanatory variables for analyzing meet-or-just-beat behavior around benchmarks. These tests combine Burgstahler and Dichev's (1997) meet-or-just-beat intuition with a flexible statistical model that addresses important...

Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada's Business Outlook Survey, spanning the 2001 to 2015...

This paper analyzes the 5-, 14- and 21-day cumulative positivity rate vis-à-vis the COVID-19 deceased rate of each time period for the first four months of COVID-19 from April 2020 to September 2020 in New Delhi, India with the intention of getting insight into the relationship between the two...

Skewness-based proxies are widely used in accounting and finance research. To study how the skewness of a dependent variable Y varies with conditioning variables X, researchers typically compute firm-specific skewness measures over a short rolling window and regress them on X. However, we show...

This paper reconsiders the equity issue in Swedish health care utilisation previously analyzed by Gerdtham (Health Economics 6, 303-319, 1997) within the framework of the standard two-part model. Departing from the user/nonuser distinction, we use the more flexible framework of the finite...

We argue in this paper that it is more feasible to use binary variables and logistic regression analyses in the assessments of AIDS incidents o or other similar researches in social science. Thus, even in measuring disease persistence we can reach solid and comprehensive results. Statistical...

Researchers often use non-linear distributional properties of accounting variables (e.g., standard deviation of demand conditional on managers’ information) to measure economic constructs like demand uncertainty. To model these distributional properties conditional on explanatory variables X,...

High breakdown-point regression estimators protect against large errors and data contamination. We generalize the concept of trimming used by many of these robust estimators, such as the least trimmed squares and maximum trimmed likelihood, and propose a general trimmed estimator, which renders...

Intellectual Assets has become the pre-eminent resource for creating economic wealth. Intellectual Assets has contributed to the creation of whole new types of businesses and ways of doing business. In the Knowledge based industries many firms have large amounts of Intellectual Assets such as...