Catálogo de publicaciones - libros

We study the determinants of growth rate volatility in a multisector economy where sectors are heterogeneous in their individual volatility. We propose a model where aggregate volatility is explained by structural change and the size of the economy. We present a first attempt to test these predictions measuring growth volatility by indices based on Markov transition matrices. Growth volatility appears to (i) decrease with total GDP and (ii) increase with the share of the agricultural sector on GDP, although some nonlinearities appear. Trade openness, which we relate to the size of the economy, also plays a role. In accordance with our model, the explanatory power of per capita GDP, a relevant variable in other empirical works, vanishes when we control for these variables.

As discussed in Chapter 4, the data portal implements a channel adapter pattern, allowing you to select between four technologies for communicating with the server-side data portal components:

It is also possible to create your own custom network channel by implementing Data Portal Client. I Data Portal Proxy on the client, and Server. I Data Portal Server on the server, just as was done in Chapter 4 to create the four proxy/host combinations listed previously.

In this chapter, you’ve seen how to configure an application server to host each of the three remote channels: remoting, Web Services, and Enterprise Services. And you’ve seen how to configure client applications to use those hosts.

Whether you use a remote data portal or not, the framework and concepts discussed in this book should enable you to create applications using object-oriented design concepts while leveraging the power of .NET. Your objects will support data binding in Windows Forms and Web Forms, along with support for encapsulation of validation and authorization logic, in a clear and concise manner.

I’ve thoroughly enjoyed exploring these concepts with you, and wish you the best as you develop your software.

Code well, have fun!