This research paper focuses on investigating the macroeconomic determinants of capital market performance in South Asia, using the Arbitrage Pricing Theory and multiple panel regression for the period of 2010-2019.While previous studies have explored the impact of macroeconomic variables on the...

Recent papers show that coefficients in two-way fixed effect (TWFE) and event study (ES) regressions can hardly be interpreted as the average treatment effect, depending on heterogeneity in the treatment effects. This paper proposes to contrast estimates with and without weighting to detect...

We develop an estimation procedure of multiple regression function and its derivatives (formarginal e¤ects) based on multivariate maximum entropy (ME) density estimation. The relevantmoments and cross moments conditions are selected to be inlcuded in the inferred distribution.Finite sample and...

We demonstrate how mothers, fathers, and 15–17-year-old students alter their schedules around the K-12 academic year. Using regression discontinuity (RDD) methods, combined with dates on school year start and end dates by locality, we document several notable results. First, mothers are...

A unified approach to regularize maximum likelihood models for linear, multivariate normal, logistic (binomial and polytomous), Poisson, and Cox proportional hazards based on between-predictor correlation is presented. Regularization is accomplished via penalization based on the strength of...

Covariates in regressions may be linked to each other on a network. Knowledge of the network structure can be incorporated into regularized regression settings via a network penalty term. However, when it is unknown whether the connection signs in the network are positive (connected covariates...

This paper introduces a novel simulation-based filtering method for general state space models. It allows for the computation of time-varying conditional means, quantiles, and modes, but also for the prediction of latent variables in general. The method relies on generating artificial samples of...

In an RDD study of the incumbency effect, observations somewhat away from the threshold separating winners and losers in an election are necessarily employed. We consider how incorporating the vote volatility of elections into a preferred index of electoral competitiveness or closeness, in...

We revisit the relationship between pre-primary education and achievement test scores in the primary school, by employing a Bayesian Model Averaging (BMA) approach combined with Gini regression estimates. The data are taken from the OECD Programme for International Student Assessment (PISA) for...

Payments for ecosystem services (PES) represent a growing share of conservation efforts. To make the most of limited budgets, these programs must target participants and regions most likely to produce the greatest environmental gains while improving (or at least not reducing) economic wellbeing;...