Empirical analysis often involves using inexact measures of desired predictors. The bias created by the correlation between the problematic regressors and the error term motivates the need for instrumental variables estimation. This paper considers a class of estimators that can be used when...

Data shows that there has been a five-fold increase in the number of climate-related disasters that the world has witnessed over the last fifty years. Just between 2000 and 2019, 7,348 reported disasters caused 1.23 million deaths, affecting a population of 4.03 billion and causing economic...

This paper examines the aggregate and gender employment impact of expanding the early childhood care and preschool education (ECCPE) sector in Turkey and compares it to the expansion of the construction sector. The authors' methodology combines input-output analysis with a statistical...

This paper discusses new methods of combined macro-micro analysis of labor demand and supply to investigate the gender impacts of public policy. In particular it examines how studies have used input-output analysis together with more or less sophisticated methods of allocating people to jobs to...

Low-income and Black households are less likely to visit bank branches than high-income and White households, despite the former two groups appearing to rely more on branches as means of bank participation. We assess whether unequal branch access can explain that disparity. We propose a measure...

Economist usually think and work taking into account the temporal dimension of economic and financial processes. Time plays a key role in the economic decision making process and is a fundamental input for statistical models useful to analyze and predict social behavior. Thus time invades our...

This paper explores a semiparametric version of a time-varying regression, where a subset of the regressors have a fixed coefficient and the rest a time-varying one. We provide an estimation method and establish associated theoretical properties of the estimates and standard errors in extended...

In this study new realized volatility measures based on Multi-Scale regression and Discrete Sine Transform (DST) approaches are presented. We show that Multi-Scales estimators similar to that recently proposed by Zhang (2004) can be constructed within a simple regression based approach by...

In this study new realized volatility measures based on Multi-Scale regression and Discrete Sine Transform (DST) approaches are presented. We show that Multi-Scales estimators similar to that recently proposed by Zhang (2004) can be constructed within a simple regression based approach by...

Russia has become more integrated and therefore significantly dependent on global developments over the last decades, despite being ruled by an increasingly autocratic regime. How does Russian media cover the associated economic and policy challenges? To answer, we use the economic policy...