News & Announcements
Update on Philippine Sustainable Bonds & the ROP’s Sustainable Finance Framework
The Center for Financial and Monetary Economics (CFME) invites you to a timely discussion on: “Update on Philippine Sustainable Bonds & the ROP’s Sustainable Finance Framework” 🗓25 March 2026 ⌚4:00 PM 💻Via Virtual Lecture Register now by scanning the QR code below, or by clicking this link: bit.ly/cfmetalks3 We look… Read More.
New Faculty Publication – Inequality in prevalence of unmedicated hypertension or diabetes among older Filipinos: analysis of nationally representative survey data
Abstract Background Public clinics in the Philippines provide free anti-hypertensive and anti-diabetic medications, removing the price barrier to accessing effective treatments. We aimed to assess whether this is sufficient to eliminate inequality in prevalence of unmedicated hypertension (HTN) or diabetes (DM) among older Filipinos diagnosed with either condition. Methods We… Read More.
New Faculty Publication – The decline of child stunting in 122 countries: a systematic review of child growth studies since the 19th century
Abstract Child stunting, a measure of malnutrition, is a major global health challenge affecting 148.1 million children in 2022. Global stunting rates have declined from 47.2% in 1985 to 22.3% in 2022; however, trends before the mid-1980s are unclear, including whether child stunting was previously prevalent in current high-income countries… Read More.
UPSE-PCED Friday Seminars – 6 Mar 2026
ABSTRACT We derive sharp bounds on the sensitivity of Markowitz-optimal portfolio weights to changes in expected returns. Unlike the seminal Best–Grauer (1991) bounds, our results remain valid under arbitrary convex constraints, and the analysis does not require an invertible covariance matrix. The bounds remain governed by extremal eigenvalues and unify… Read More.
UPSE-PCED Friday Seminars – 27 Feb 2026
ABSTRACT Recent high-impact discoveries and inventions arise from the combined work of many innovators organized in diverse teams. However, a bigger team group size is not always better, especially when coordination becomes challenging. We conducted an experiment to test the impact of group size, task complexity, and the magnitude of… Read More.
UPSE-PCED Technical Training Series – STATA II – Basic Econometrics Using Stata (2nd Sem AY25-26)
Stata II (Basic Econometrics Using Stata) Topics: Data analysis, statistical tests and regression models Schedule: February 28, March 2 & 9, 2026 | 9:00 AM - 12:00 NN | Sergio & Beatriz Ordoñez Lecture Room, Encarnacion Hall UP School of Economics Trainer: Ms. Christia Lynette Piduca Data Analysis II, RELX Reed Elsevier … Read More.
UPSE-PCED Technical Training Series – STATA I – Introduction to Stata (2nd Sem AY25-26)
Stata I (Introduction to Stata) Topics: Stata interface, coding syntax, using do files, database management, graphs and tables Schedule: March 14, 16 & 21, 2026 | 9:00 AM - 12:00 NN | Sergio & Beatriz Ordoñez Lecture Room, Encarnacion Hall UP School of Economics Trainer: Ms. Christia Lynette Piduca Data Analysis II, RELX… Read More.
Behavioral Economics, Financial Literacy Research & Policy, and the G53 Network
The 𝗖𝗲𝗻𝘁𝗲𝗿 𝗳𝗼𝗿 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗮𝗻𝗱 𝗠𝗼𝗻𝗲𝘁𝗮𝗿𝘆 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 (𝗖𝗙𝗠𝗘) invites you to the 2nd CFME Talk on “Behavioral Economics, Financial Literacy Research & Policy, and the G53 Network” on February 25, 4:00 PM. This will be held via virtual lecture. Please register by scanning the QR code or click: https://bit.ly/cfmetalks2026 … Read More.
New Faculty Publication – Estimating Market Power in Agricultural Industries Using the Production Function Approach: Evidence from the Philippines
Abstract Market power represents distortions that hinder the efficient allocation of resources within an economy. The significance of measuring such distortions is particularly pronounced in Philippine agriculture which has been subject to periodic food affordability crises. This paper is the first to directly quantify markups and assess returns to scale… Read More.
UPSE-PCED Friday Seminars – 20 Feb 2026
ABSTRACT Applications of machine learning (ML) have become commonplace in the area of taxation. With adequate data, the capacity of ML models to predict and classify may be put to use in the field. Examples are discussed. Read More.
