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This paper examines the state of financial development in the Latin America and Caribbean (LAC) region as well as potential growth and stability implications from further development. The analysis suggests that access to financial institutions has expanded notably in the past decade, and the region compares favorably with other emerging market regions on this dimension. The region, however, continues to lag behind peers on broader financial development, especially with respect to markets, though there is substantial heterogeneity across countries. Financial systems in many LAC countries are also underdeveloped relative to their macroeconomic fundamentals. Further financial development could convey net benefits to the region, provided there is adequate regulatory oversight to prevent excesses.

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usiness cycle, Fiscal policy, Cambodia, Forecasting, Simulation, Debt management. Macroeconomic management in many developing countries is often heavily dependent on fiscal policies. This paper develops a semi-structural macro-fiscal model for simulating and forecasting macroeconomic policies in Cambodia. The model is calibrated to capture key characteristics of Cambodia’s economy and serves as a tool for scenario analysis. We demonstrate its application with an illustrative scenario of the macroeconomic effects of the Covid-19 pandemic. The model’s results conform with past empirical analyses of the Cambodian economy and generate intuitive and easy-to-understand policy scenarios. Complemented with near-term forecasting tools and expert judgment, the dynamics of the model help to inform policymakers about medium-term transmission channels and thus guide policy advice. In particular, the results could serve as an input for the country’s medium-term fiscal framework and debt sustainability analysis.

Interest rate caps, despite their intended objective of broadening financial inclusion, can have undesirable effects on financial inclusion under certain conditions. This paper examines the effect of microfinance-loan interest rate caps on financial inclusion in Cambodia. Based on a difference-in-difference analysis on bank and microfinance supervisory data, results show some unintended impact on financial inclusion. The cap led to a significant increase in non-interest fees charged on new loans following the introduction of an annual cap. Microfinance borrowers declined immediately, amid an increase in credit growth, as microfinance institutions targeted larger borrowers at the expense of smaller ones. Microfinance institutions, responded differently to the cap, considering their own operation and funding costs, and client base. Two years after the cap, institutions resumed lending to a wider group of borrowers with lower funding and operation costs brought by mobile payment development.

The paper describes a semistructural macrofiscal approach to simulating and forecasting macroeconomic policies. Our canonical model is adapted to Cambodia and we demonstrate its application with an illustrative scenario of macroeconomic effects of the Covid-19 pandemic. Complemented with near-term forecasting tools and expert judgment, the dynamics of the model helps to inform policymakers about medium-term transmission channels and thus guide policy advice.

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for making the time to take par t in our interviews. We are also indebted to Ravi Shankar Chaturvedi and his Digital Planet research team at The Fletcher School, Tufts University, for providing the Digital Intelligence Index dataset, the Edelman Trust for providing the Edelman Trust Index, and MCM for providing the digital financial inclusion measures. We also thank Mr. Thitipat Chansriniyom for his excellent research support.